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Inadequate sleep & obesity: Breaking the vicious cycle
Sleep is fundamental to overall health and longevity, with the average person spending about one-third of their life sleeping.1 Adequate sleep is critical for optimal cognition, memory consolidation, mood regulation, metabolism, appetite regulation, and immune and hormone functioning. According to the American Academy of Sleep Medicine and the Sleep Research Society, adults should sleep at least 7 hours per night on a regular basis “to promote optimal health.”2 Yet, between 2013 and 2020, only about 65% of adults in the United States were meeting this amount.3 Insufficient sleep is associated with an increased risk for chronic health conditions, including obesity, diabetes, cardiovascular diseases, and even premature death.4
In a population-based longitudinal study of sleep disorders, short sleep duration was associated with increased body mass index (BMI), low blood levels of leptin, and high ghrelin levels.5 In addition to physical impairments, poor sleep can impair cognitive performance and lead to vehicular accidents and increased accidents at work.4 The potential economic impact that this may have is significant, and includes increased costs and loss of productivity in the workplace.6
Many factors may contribute to short sleep duration: environment, mental and physical condition, and social influences such as occupation, family responsibilities, travel, group activities, and personal care. Furthermore, the rapidly evolving and developing media, communication, and entertainment industries are already strongly implicated in poor sleep quality and quantity, both contributing to excessive daytime sleepiness.7 Poor sleep quality is most notable in modern societies, and it correlates with the increasing prevalence of obesity, likely due to sleep’s effect on food consumption and physical activity.8 Optimizing a person’s sleep will improve overall health and longevity by inhibiting the development of chronic disease.
How insufficient sleep raises the risk for obesity
Not only is sleep beneficial for brain health, memory, learning, and growth, its effect on food consumption and physical activity likely correlates with the increased prevalence of obesity in modern society. Yet the optimal amount of sleep is controversial, and current recommendations of 7 or more hours of sleep per night for adults are derived from expert panels only.2 The recommended sleep duration for children is longer, and it varies by age.9 The quality of sleep and its impact on neuroendocrine hormones, not just the quantity of sleep, needs to be factored into these recommendations.
Sleep restriction activates the orexigenic system via the hormones leptin and ghrelin. These hormones control the food reward system, essentially increasing hunger and food intake. Leptin, created by white adipose tissue, is responsible for satiety and decreased food consumption.10 Ghrelin, made by oxyntic glands in the stomach, is responsible for the sensation of hunger.
In a 2004 study by Spiegel et al,11 leptin and ghrelin levels were measured during 2 days of sleep restriction (4 hours in bed) and sleep extension (10 hours in bed). Sleep restriction was associated with a decrease in leptin levels and an increase in ghrelin levels. The researchers reported that participants experienced an increase in hunger and appetite—especially for calorie-dense foods with high carbohydrate content.
Although research design has limitations with predominantly self-reported sleep data, studies have shown that short sleep time leads to increased food intake by increasing hunger signals and craving of unhealthy foods, and by providing more opportunities to eat while awake. It also may lead to decreased physical activity, creating a sedentary lifestyle that further encourages obesity.8 Reduced sleep is even correlated to decreased efficacy of weight-loss treatments.12
Continue to: Other sleep characteristics weakly correlated with obesity
Other sleep characteristics weakly correlated with obesity are sleep variability, timing, efficiency, quality, and daytime napping.8 Sleep variability causes dysregulation of eating patterns, leading to increased food intake. A shift to later sleep and waking times often results in higher consumption of calories after 8
Poor sleep efficiency and quality decreases N3-stage (deep non-REM) sleep, affects the autonomic nervous system, and has been associated with increased abdominal obesity. Daytime napping, which can cause irregular circadian rhythms and sleep schedules, is associated with increased obesity.15 Thus, each component of sleep needs to be assessed to promote optimal regulation of the orexigenic system.
Another study showed that inadequate sleep not only promotes unhealthy lifestyle habits that can lead to obesity but also decreases the ability to lose weight.16 This small study with 10 overweight patients provided its subjects with a controlled caloric intake over 2 weeks. Patients spent two 14-day periods 3 months apart in the laboratory, divided into 2 time-in-bed arms of 8.5 and 5.5 hours per night. Neuroendocrine changes caused by decreased sleep were associated with a significant lean body mass loss while conserving energy-dense fat.16 This study highlights the importance of sleep hygiene counseling when developing a weight-management plan with patients.
Sleep, and its many components, play an integral role in the prevention and treatment of obesity.17 Poor sleep will increase the risk for obesity and hinder its treatment. Therefore, sleep quality and duration are vital components of obesity management.
The sleep–obesity link in children and the elderly
Childhood obesity is linked to several chronic diseases in adulthood, including type 2 diabetes, cardiovascular disease, nonalcoholic fatty liver disease, asthma, and obstructive sleep apnea (OSA).18 According to 2017-2018 NHANES (National Health and Nutrition Examination Surveys) data, obesity (BMI ≥ 95th percentile) prevalence among children and adolescents was reported at 19.3% and severe obesity (BMI ≥ 120% of the 95th percentile) at 6.1%. Pediatric overweight prevalence (≥ 85th percentile and < 95th percentile) was 16.1%.19
Continue to: Although poor sleep is associated...
Although poor sleep is associated with increased risk for obesity, there is no proven cause-effect relationship.20 Nutrition and physical activity have been identified as 2 critical factors in childhood obesity, but sleep health also needs to be investigated. Shorter sleep duration is strongly associated with the development of obesity. Furthermore, children with obesity are more likely to have shorter sleep duration.21 A short sleep duration alters plasma levels of insulin, low-density lipoprotein, and high-sensitivity C-reactive protein. It is associated with lower diet quality, an increased intake of nutrient-poor foods, and a lower intake of vegetables and fruits.22 Recent studies have shown that interventions to promote earlier bedtimes can improve sleep duration in children.
Older adults have many sleeping issues, including insomnia, circadian rhythm sleep-wake disorders, sleep-related movement disorders, and sleep-breathing disorders. Additionally, the older population has increased sleep latency, decreased sleep efficiency and total sleep time, decreased REM sleep, more frequent nighttime awakenings, and more daytime napping.23 The increased sleep disturbance with age is mainly related to higher risk factors for sleep disorders than the aging process itself. Sleeping 5 or fewer hours is associated with an increased risk for obesity and central abdominal fat compared with those who sleep 7 to 8 hours per night.24 Similar to children and youth, older adults also show a strong correlation between inadequate sleep and obesity.24
The consequence: A vicious cycle
Obesity in turn leads to shorter sleep duration and more disruptions. This negatively affects the orexigenic system, and the resulting hormonal derangement promotes worsening obesity. It is a cycle of poor sleep causing obesity and obesity causing poor sleep. Insomnia, in combination with shorter (and longer) sleep times, also has been linked with obesity.25 These patients experience more daytime sleepiness, fatigue, and nighttime sleep disturbances, all correlated with decreased quality of life and higher prevalence of medical comorbidities.8,26 Additional comorbidities secondary to obesity, including gastroesophageal reflux, depression, and asthma, also have been linked to sleep disturbances.8
OSA is a common sleep complication associated with obesity. With the increasing prevalence of obesity, the prevalence of OSA is rising.8,27 Factors that heighten the risk for OSA are male sex, age 40 to 70 years, postmenopausal status, elevated BMI, and craniofacial and upper airway abnormality.28 However, the US Preventive Services Task Force found insufficient evidence to screen for or treat OSA in asymptomatic adults.28 Signs and symptoms of OSA include nighttime awakenings with choking, loud snoring, and feeling unrefreshed after sleep.29
OSA is caused by the intermittent narrowing and obstruction of the pharyngeal airway due to anatomical and structural irregularities or neuromuscular impairments. Untreated OSA is associated with cardiovascular disease and cardiac arrhythmias such as atrial fibrillation. Even with this correlation between obesity and sleep, it is estimated that 80% of OSA remains undiagnosed.30 Approximately half of primary care clinicians do not screen at-risk patients for OSA, and 90% do not use validated OSA screening tools.31 Screening tools that have been validated are the STOP, STOP-BANG, Epworth Sleepiness Scale, and 4-Variable Screening Tool. However, the US Department of Veterans Affairs and the US Department of Defense have a more recent guideline recommending STOP as an easier-to-administer screen for OSA.32 A positive result with a screening tool should be confirmed with polysomnography.32
Continue to: Intervention for OSA
Intervention for OSA. The longest randomized controlled study to date, Sleep AHEAD, evaluated over a period of 10 years the effect of weight loss on OSA severity achieved with either an intensive lifestyle intervention (ILI) or with diabetes support and education (DSE).33 OSA severity is rated on an Apnea-Hypopnea Index (AHI), with scores reflecting the number of sleep apnea events per hour. This study demonstrated that weight loss was associated with decreased OSA severity. At 4-year follow-up, the greater the weight loss with ILI intervention, the lower the patients’ OSA severity scores. The study found an average decrease in AHI of 0.68 events per hour for every kilogram of weight loss in the ILI group (P < .0001).33,34 Over the follow-up visits, the ILI participants had 7.4 events per hour, a more significantly reduced AHI than the DSE participants (P < .0001).33,34
Additionally, a small cohort of study participants achieved OSA remission (ILI, 34.4%; DSE, 22.2%), indicated by a low AHI score (< 5 events per hour). At the conclusion of the study, OSA severity decreased to a greater degree with ILI intervention.33,34
Alcohol and drug use can negatively influence sleep patterns and obesity. Higher alcohol consumption is associated with poorer sleep quality and higher chances of developing short sleep duration and snoring.35 Alcohol, a muscle relaxant, causes upper airway narrowing and reduced tongue muscle tone, thereby increasing snoring and OSA as demonstrated by increased AHI on polysomnography after alcohol intake. Alcohol also changes sleep architecture by increasing slow-wave sleep, decreasing REM sleep duration, and increasing sleep arousal in the second half of the night.36 Disrupted circadian rhythm after alcohol consumption was correlated with increased adenosine neurotransmitters derived from ethanol metabolism.37 Alcohol dependence may be related to other psychiatric symptoms, and chronic alcohol use eventually alters sleep mechanisms leading to persistent insomnia, further perpetuating adverse outcomes such as suicidal ideation.36 There are positive associations between beer drinking and measures of abdominal adiposity in men, and “the combination of short sleep duration [and] disinhibited eating … is associated with greater alcohol intake and excess weight.”38
Therefore, counsel patients to avoid alcohol since it is a modifiable risk factor with pervasive adverse health effects.
Many drugs have a profound effect on sleep patterns. Illicit drug use in particular can affect the brain’s neurotransmitter serotonin system. For example, ecstasy users have an increased risk for OSA.39 People with cocaine and heroin use disorder tend to have more sleep-maintenance insomnia.40
Continue to: In contrast, those with alcohol...
In contrast, those with alcohol or cannabis use disorder tend to have more sleep-onset insomnia.40 Not only do illicit drugs interrupt sleep, but daily tobacco use also has been correlated with increased insomnia and shorter sleep duration since nicotine is a stimulant.41
Insomnia is commonly treated with sedative antidepressants and hypnotics—eg, mirtazapine and olanzapine—that contribute to weight gain.42 In addition, other common pharmaceuticals used for sleep disorders, such as diphenhydramine, have sedative properties and tend to lead to weight gain.43 Because so many medications affect sleep and weight, carefully review patients’ medication lists and switch offending agents to weight-neutral drugs if possible.
Treatment and tools to improve sleep in patients with obesity
Given the strong correlation between obesity and sleep disorders, validated screening tools should be used to assess sleep quality, including onset and potential symptoms associated with poor sleep (TABLE 144). For weight management to succeed in patients with obesity, it is crucial to address sleep in addition to nutrition and physical activity.17,45
Physical activity has many benefits to overall health, especially for chronic diseases such as type 2 diabetes and hypertension. The Centers for Disease Control and Prevention recommends at least 150 minutes of moderate-intensity aerobic activity or 75 minutes of vigorous-intensity aerobic exercise per week in addition to muscle-strengthening activities 2 or more days per week.46 However, approximately 300 minutes of moderate-
Physical activity and diet in combination are vital, but diet restriction has a more substantial effect on weight loss than physical activity alone.48 Still, physical activity is essential in helping maintain and prevent weight regain.
Continue to: Nonpharmacologic interventions
Nonpharmacologic interventions include promoting greater sleep quality and quantity by emphasizing good sleep hygiene practices. Developing a practical and effective bedtime routine, creating a quiet sleep environment, and practicing healthy daily habits are essential components to sleep hygiene (TABLE 249,50). Relaxation techniques and cognitive behavioral therapy (CBT) also can help. CBT for insomnia (CBT-I) is the first-line intervention for chronic insomnia.51 Sleep restriction is a type of CBT used to treat insomnia, encouraging short-term sleep loss in the hopes of improving insomnia. A trial by Logue et al showed that patients with overweight and obesity randomized to undergo CBT with better sleep hygiene (nonpharmacologic) interventions had a greater mean weight loss percentage (5% vs 2%; P = .04) than did those who received CBT alone.52
Eastern medicine including herbal interventions lack evidence of efficacy and safety. Further studies need to be done on the effects that chamomile, kava, valerian root (Valeriana officinalis), tryptophan, and Wu Ling (from mycelia Xylaria nigripes) might have on sleep.53
Proceed cautiously with medication. The American College of Physicians recommends a shared decision-making approach when considering pharmacologic therapy for chronic insomnia and the American Academy of Sleep Medicine (AASM) offers guidance on options.51,54 However, the evidence behind AASM sleep pharmacologic recommendations is weak, implying a lesser degree of confidence in the outcome and, therefore, in its appropriateness. Thus, it falls upon the clinician and patient to weigh the benefits and burdens of the pharmacologic treatments of insomnia. If indicated, medications suggested to treat sleep onset and sleep maintenance insomnia are eszopiclone, zolpidem, and temazepam. Zaleplon, triazolam, and ramelteon may improve sleep initiation. Suvorexant and doxepin are used for sleep-maintenance insomnia.54 Exploring patient preferences, cost of treatment, health care options, and available resources should all be considered.
CORRESPONDENCE
Ecler Ercole Jaqua, MD, MBA, FAAFP, AGSF, FACLM, DipABOM, Loma Linda University Health, 25455 Barton Road, Suite 206A, Loma Linda, CA 92354; ejaqua@llu.edu
1. Aminoff MJ, Boller F, Swaab DF. We spend about one-third of our life either sleeping or attempting to do so. Handb Clin Neurol. 2011;98:vii. doi: 10.1016/B978-0-444-52006-7.00047-2
2. Watson NF, Badr MS, Belenky G, et al. Recommended amount of sleep for a healthy adult: a joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38:843-844. doi: 10.5665/sleep.4716
3. CDC. Sleep and sleep disorders, adults. Accessed September 21, 2023. www.cdc.gov/sleep/data-and-statistics/adults.html
4. Chattu VK, Manzar MD, Kumary S. The global problem of insufficient sleep and its serious public health implications. Healthcare (Basel). 2019;7:1. doi: 10.3390/healthcare7010001
5. Taheri S, Lin L, Austin D, et al. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index. PLoS Med. 2004;1:e62. doi: 10.1371/journal.pmed.0010062
6. Hafner M, Stepanek M, Taylor J, et al. Why sleep matters—the economic costs of insufficient sleep. Rand Health Q. 2017;6:11.
7. Hisler G, Twenge JM, Krizan Z. Associations between screen time and short sleep duration among adolescents varies by media type: evidence from a cohort study. Sleep Med. 2020;66:92-102. doi: 10.1016/j.sleep.2019.08.007
8. Ogilvie RP, Patel SR. The epidemiology of sleep and obesity. Sleep Health. 2017;3:383-388. doi: 10.1016/j.sleh.2017.07.013
9. CDC. Sleep and sleep disorders: How much sleep do I need? Accessed September 21, 2023. www.cdc.gov/sleep/about_sleep/how_much_sleep.html
10. van Egmond LT, Meth EMS, Engström J, et al. Effects of acute sleep loss on leptin, ghrelin, and adiponectin in adults with healthy weight and obesity: a laboratory study. Obesity (Silver Spring). 2023;31:635-641. doi: 10.1002/oby.23616
11. Spiegel K, Tasali E, Penev P, et al. Brief communication: sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med. 2004;141:846-850. doi: 10.7326/0003-4819-141-11-200412070-00008
12. Antza C, Kostopoulos G, Mostafa S, et al. The links between sleep duration, obesity and type 2 diabetes mellitus. J Endocrinol. 2021;252:125-141. doi: 10.1530/JOE-21-0155
13. Baron KG, Reid KJ, Kern AS, et al. Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring). 2011;19:1374-1381. doi: 10.1038/oby.2011.100
14. Liu XY, Zheng CL, Xu C, et al. Nighttime snacking is associated with risk of obesity and hyperglycemia in adults: a cross-sectional survey from Chinese adult teachers J Biomed Res. 2017;31:541-547. doi: 10.7555/JBR.31.20160083
15. Cai Z, Yang Y, Zhang J, et al. The relationship between daytime napping and obesity: a systematic review and meta-analysis. Sci Rep. 2023.13:12124. doi: 10.1038/s41598-023-37883-7
16. Nedeltcheva AV, Kilkus JM, Imperial J, et al. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153:435-441. doi: 10.7326/0003-4819-153-7-201010050-00006
17. Chaput JP, Tremblay A. Adequate sleep to improve the treatment of obesity. CMAJ. 2012;184:1975-1976. doi: 10.1503/cmaj.120876
18. Kelsey MM, Zaepfel A, Bjornstad P, et al. Age-related consequences of childhood obesity. Gerontology. 2014;60:222-228. doi: 10.1159/000356023
19. Fryar CD, Carroll MD, Afful J. Prevalence of overweight, obesity, and severe obesity among children and adolescents aged 2-19 years: United States, 1963-1965 through 2017-2018. National Center for Health Statistics Health E-Stats. Updated January 29, 2021. Accessed September 21, 2021. www.cdc.gov/nchs/data/hestat/obesity-child-17-18/overweight-obesity-child-H.pdf
20. Fatima Y, Doi SAR, Mamun AA. Sleep quality and obesity in young subjects: a meta-analysis. Obes Rev. 2016;17:1154-1166. doi: 10.1111/obr.12444
21. Gohil A, Hannon TS. Poor sleep and obesity: concurrent epidemics in adolescent youth. Front Endocrinol. 2018;9:364. doi: 10.3389/fendo.2018.00364
22. Golley RK, Maher CA, Matricciani L, et al. Sleep duration or bedtime? Exploring the association between sleep timing behaviour, diet and BMI in children and adolescents. Int J Obes (Lond). 2013;37:546-551. doi: 10.1038/ijo.2012.212
23. Alessi CA. Sleep issues. In: Harper GM, Lyons WL, Potter JF, eds. Geriatrics Review Syllabus (GRS 10). Updated January 2021. Accessed August 29, 2023. http://geriatricscareonline.org
24. Patel SR, Blackwell T, Redline S, et al. The association between sleep duration and obesity in older adults. Int J Obes (Lond). 2008;32:1825-1834. doi: 10.1038/ijo.2008.198
25. Cai GH, Theorell-Haglöw J, Janson C, et al. Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity. Sleep Med. 2018;46:81-87. doi: 10.1016/j.sleep.2018.03.009
26. Beccuti G, Pannain S. Sleep and obesity. Curr Opin Clin Nutr Metab Care. 2011;14:402-412. doi: 10.1097/MCO.0b013 e3283479109
27. Franklin KA, Lindberg E. Obstructive sleep apnea is a common disorder in the population–a review on the epidemiology of sleep apnea. J Thorac Dis. 2015;7:1311-1322. doi: 10.3978/j.issn.2072-1439.2015.06.11
28. USPSTF. Bibbins-Domingo K, Grossman DC, Curry SJ, et al. Screening for obstructive sleep apnea in adults: US Preventive Services Task Force recommendation statement. JAMA. 2017;317:407-414. doi: 10.1001/jama.2016.20325
29. Goyal M, Johnson J. Obstructive sleep apnea diagnosis and management. Mo Med. 2017;114:120-124.
30. American Academy of Sleep Medicine. Hidden health crisis costing America billions: underdiagnosing and undertreating obstructive sleep apnea draining healthcare system. 2016. Accessed September 25, 2023. https://aasm.org/wp-content/uploads/2017/10/sleep-apnea-economic-crisis.pdf
31. Devaraj, NK. Knowledge, attitude, and practice regarding obstructive sleep apnea among primary care physicians. Sleep Breath. 2020;24:1581-1590. doi: 10.1007/s11325-020-02040-1
32. Mysliwiec V, Martin JL, Ulmer CS, et al. The management of chronic insomnia disorder and obstructive sleep apnea: synopsis of the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guidelines. Ann Intern Med. 2020;172:325-336. doi: 10.7326/M19-3575
33. Kuna ST, Reboussin DM, Strotmeyer ES, et al. Effects of weight loss on obstructive sleep apnea severity. Ten-year results of the Sleep AHEAD study. Am J Respir Crit Care Med. 2021;203:221-229. doi: 10.1164/rccm.201912-2511OC
34. St-Onge MP, Tasali E. Weight loss is integral to obstructive sleep apnea management. Ten-year follow-up in Sleep AHEAD. Am J Respir Crit Care Med. 2021;203:161-162. doi: 10.1164/rccm.202007-2906ED
35. Zheng D, Yuan X, Ma C, et al. Alcohol consumption and sleep quality: a community-based study. Public Health Nutr. 2021;24:4851-4858. doi: 10.1017/S1368980020004553
36. Chakravorty S, Chaudhary NS, Brower KJ. Alcohol dependence and its relationship with insomnia and other sleep disorders. Alcohol Clin Exp Res. 2016;40:2271-2282. doi: 10.1111/acer.13217
37. Elmenhorst EM, Elmenhorst D, Benderoth S, et al. Cognitive impairments by alcohol and sleep deprivation indicate trait characteristics and a potential role for adenosine A1 receptors. Proc Natl Acad Sci U S A. 2018;115:8009-8014. doi: 10.1073/pnas.1803770115
38. Traversy G, Chaput JP. Alcohol consumption and obesity: an update. Curr Obes Rep. 2015;4:122-130. doi: 10.1007/s13679-014-0129-4
39. McCann UD, Sgambati FP, Schwartz AR, et al. Sleep apnea in young abstinent recreational MDMA (“ecstasy”) consumers. Neurology. 2009;73:2011-2017. doi: 10.1212/WNL.0b013e3181c51a62
40. Grau-López L, Grau-López L, Daigre C, et al. Insomnia symptoms in patients with substance use disorders during detoxification and associated clinical features. Front Psychiatry. 2020;11:540022. doi: 10.3389/fpsyt.2020.540022
41. Boehm MA, Lei QM, Lloyd RM, et al. Depression, anxiety, and tobacco use: overlapping impediments to sleep in a national sample of college students. J Am Coll Health. 2016;64:565-574. doi: 10.1080/07448481.2016.1205073
42. Gracious BL, Meyer AE. Psychotropic-induced weight gain and potential pharmacologic treatment strategies. Psychiatry (Edgmont). 2005;2:36-42.
43. Ratliff JC, Barber JA, Palmese LB, et al. Association of prescription H1 antihistamine use with obesity: results from the National Health and Nutrition Examination Survey. Obesity (Silver Spring). 2010;18:2398-2400. doi: 10.1038/oby.2010.176
44. Pataka A, Daskalopoulou E, Kalamaras G, et al. Evaluation of five different questionnaires for assessing sleep apnea syndrome in a sleep clinic. Sleep Med. 2014;15:776-781. doi: 10.1016/j.sleep.2014.03.012
45. Kline CE, Chasens ER, Bizhanova Z, et al. The association between sleep health and weight change during a 12-month behavioral weight loss intervention. Int J Obes (Lond). 2021;45:639-649. doi: 10.1038/s41366-020-00728-8
46. CDC. How much physical activity do adults need? Accessed August 23, 2023. www.cdc.gov/physicalactivity/basics/adults/index.htm
47. Flack KD, Hays HM, Moreland J, et al. Exercise for weight loss: further evaluating energy compensation with exercise. Med Sci Sports Exerc. 2020;52:2466-2475. doi: 10.1249/MSS.0000000000002376
48. Swift DL, Johannsen NM, Lavie CJ, et al. The role of exercise and physical activity in weight loss and maintenance. Prog Cardiovasc Dis. 2014;56:441-447. doi: 10.1016/j.pcad.2013.09.012
49. Irish LA, Kline CE, Gunn HE, et al. The role of sleep hygiene in promoting public health: a review of empirical evidence. Sleep Med Rev. 2015;22:23-36. doi: 10.1016/j.smrv.2014.10.001
50. CDC. Tips for better sleep. 2022. Accessed August 4, 2023. www.cdc.gov/sleep/about_sleep/sleep_hygiene.html
51. Qaseem A, Kansagara D, Forciea MA, et al. Management of chronic insomnia disorder in adults: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2016;165:125-133. doi: 10.7326/M15-2175
52. Logue EE, Bourguet CC, Palmieri PA, et al. The better weight-better sleep study: a pilot intervention in primary care. Am J Health Behav. 2012;36:319-334. doi: 10.5993/AJHB.36.3.4
53. Leach MJ, Page AT. Herbal medicine for insomnia: a systematic review and meta-analysis. Sleep Med Rev. 2015;24:1-12. doi: 10.1016/j.smrv.2014.12.003
54. Sateia MJ, Buysse DJ, Krystal AD, et al. Clinical practice guideline for the pharmacologic treatment of chronic insomnia in adults: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13:307-349. doi: 10.5664/jcsm.6470
Sleep is fundamental to overall health and longevity, with the average person spending about one-third of their life sleeping.1 Adequate sleep is critical for optimal cognition, memory consolidation, mood regulation, metabolism, appetite regulation, and immune and hormone functioning. According to the American Academy of Sleep Medicine and the Sleep Research Society, adults should sleep at least 7 hours per night on a regular basis “to promote optimal health.”2 Yet, between 2013 and 2020, only about 65% of adults in the United States were meeting this amount.3 Insufficient sleep is associated with an increased risk for chronic health conditions, including obesity, diabetes, cardiovascular diseases, and even premature death.4
In a population-based longitudinal study of sleep disorders, short sleep duration was associated with increased body mass index (BMI), low blood levels of leptin, and high ghrelin levels.5 In addition to physical impairments, poor sleep can impair cognitive performance and lead to vehicular accidents and increased accidents at work.4 The potential economic impact that this may have is significant, and includes increased costs and loss of productivity in the workplace.6
Many factors may contribute to short sleep duration: environment, mental and physical condition, and social influences such as occupation, family responsibilities, travel, group activities, and personal care. Furthermore, the rapidly evolving and developing media, communication, and entertainment industries are already strongly implicated in poor sleep quality and quantity, both contributing to excessive daytime sleepiness.7 Poor sleep quality is most notable in modern societies, and it correlates with the increasing prevalence of obesity, likely due to sleep’s effect on food consumption and physical activity.8 Optimizing a person’s sleep will improve overall health and longevity by inhibiting the development of chronic disease.
How insufficient sleep raises the risk for obesity
Not only is sleep beneficial for brain health, memory, learning, and growth, its effect on food consumption and physical activity likely correlates with the increased prevalence of obesity in modern society. Yet the optimal amount of sleep is controversial, and current recommendations of 7 or more hours of sleep per night for adults are derived from expert panels only.2 The recommended sleep duration for children is longer, and it varies by age.9 The quality of sleep and its impact on neuroendocrine hormones, not just the quantity of sleep, needs to be factored into these recommendations.
Sleep restriction activates the orexigenic system via the hormones leptin and ghrelin. These hormones control the food reward system, essentially increasing hunger and food intake. Leptin, created by white adipose tissue, is responsible for satiety and decreased food consumption.10 Ghrelin, made by oxyntic glands in the stomach, is responsible for the sensation of hunger.
In a 2004 study by Spiegel et al,11 leptin and ghrelin levels were measured during 2 days of sleep restriction (4 hours in bed) and sleep extension (10 hours in bed). Sleep restriction was associated with a decrease in leptin levels and an increase in ghrelin levels. The researchers reported that participants experienced an increase in hunger and appetite—especially for calorie-dense foods with high carbohydrate content.
Although research design has limitations with predominantly self-reported sleep data, studies have shown that short sleep time leads to increased food intake by increasing hunger signals and craving of unhealthy foods, and by providing more opportunities to eat while awake. It also may lead to decreased physical activity, creating a sedentary lifestyle that further encourages obesity.8 Reduced sleep is even correlated to decreased efficacy of weight-loss treatments.12
Continue to: Other sleep characteristics weakly correlated with obesity
Other sleep characteristics weakly correlated with obesity are sleep variability, timing, efficiency, quality, and daytime napping.8 Sleep variability causes dysregulation of eating patterns, leading to increased food intake. A shift to later sleep and waking times often results in higher consumption of calories after 8
Poor sleep efficiency and quality decreases N3-stage (deep non-REM) sleep, affects the autonomic nervous system, and has been associated with increased abdominal obesity. Daytime napping, which can cause irregular circadian rhythms and sleep schedules, is associated with increased obesity.15 Thus, each component of sleep needs to be assessed to promote optimal regulation of the orexigenic system.
Another study showed that inadequate sleep not only promotes unhealthy lifestyle habits that can lead to obesity but also decreases the ability to lose weight.16 This small study with 10 overweight patients provided its subjects with a controlled caloric intake over 2 weeks. Patients spent two 14-day periods 3 months apart in the laboratory, divided into 2 time-in-bed arms of 8.5 and 5.5 hours per night. Neuroendocrine changes caused by decreased sleep were associated with a significant lean body mass loss while conserving energy-dense fat.16 This study highlights the importance of sleep hygiene counseling when developing a weight-management plan with patients.
Sleep, and its many components, play an integral role in the prevention and treatment of obesity.17 Poor sleep will increase the risk for obesity and hinder its treatment. Therefore, sleep quality and duration are vital components of obesity management.
The sleep–obesity link in children and the elderly
Childhood obesity is linked to several chronic diseases in adulthood, including type 2 diabetes, cardiovascular disease, nonalcoholic fatty liver disease, asthma, and obstructive sleep apnea (OSA).18 According to 2017-2018 NHANES (National Health and Nutrition Examination Surveys) data, obesity (BMI ≥ 95th percentile) prevalence among children and adolescents was reported at 19.3% and severe obesity (BMI ≥ 120% of the 95th percentile) at 6.1%. Pediatric overweight prevalence (≥ 85th percentile and < 95th percentile) was 16.1%.19
Continue to: Although poor sleep is associated...
Although poor sleep is associated with increased risk for obesity, there is no proven cause-effect relationship.20 Nutrition and physical activity have been identified as 2 critical factors in childhood obesity, but sleep health also needs to be investigated. Shorter sleep duration is strongly associated with the development of obesity. Furthermore, children with obesity are more likely to have shorter sleep duration.21 A short sleep duration alters plasma levels of insulin, low-density lipoprotein, and high-sensitivity C-reactive protein. It is associated with lower diet quality, an increased intake of nutrient-poor foods, and a lower intake of vegetables and fruits.22 Recent studies have shown that interventions to promote earlier bedtimes can improve sleep duration in children.
Older adults have many sleeping issues, including insomnia, circadian rhythm sleep-wake disorders, sleep-related movement disorders, and sleep-breathing disorders. Additionally, the older population has increased sleep latency, decreased sleep efficiency and total sleep time, decreased REM sleep, more frequent nighttime awakenings, and more daytime napping.23 The increased sleep disturbance with age is mainly related to higher risk factors for sleep disorders than the aging process itself. Sleeping 5 or fewer hours is associated with an increased risk for obesity and central abdominal fat compared with those who sleep 7 to 8 hours per night.24 Similar to children and youth, older adults also show a strong correlation between inadequate sleep and obesity.24
The consequence: A vicious cycle
Obesity in turn leads to shorter sleep duration and more disruptions. This negatively affects the orexigenic system, and the resulting hormonal derangement promotes worsening obesity. It is a cycle of poor sleep causing obesity and obesity causing poor sleep. Insomnia, in combination with shorter (and longer) sleep times, also has been linked with obesity.25 These patients experience more daytime sleepiness, fatigue, and nighttime sleep disturbances, all correlated with decreased quality of life and higher prevalence of medical comorbidities.8,26 Additional comorbidities secondary to obesity, including gastroesophageal reflux, depression, and asthma, also have been linked to sleep disturbances.8
OSA is a common sleep complication associated with obesity. With the increasing prevalence of obesity, the prevalence of OSA is rising.8,27 Factors that heighten the risk for OSA are male sex, age 40 to 70 years, postmenopausal status, elevated BMI, and craniofacial and upper airway abnormality.28 However, the US Preventive Services Task Force found insufficient evidence to screen for or treat OSA in asymptomatic adults.28 Signs and symptoms of OSA include nighttime awakenings with choking, loud snoring, and feeling unrefreshed after sleep.29
OSA is caused by the intermittent narrowing and obstruction of the pharyngeal airway due to anatomical and structural irregularities or neuromuscular impairments. Untreated OSA is associated with cardiovascular disease and cardiac arrhythmias such as atrial fibrillation. Even with this correlation between obesity and sleep, it is estimated that 80% of OSA remains undiagnosed.30 Approximately half of primary care clinicians do not screen at-risk patients for OSA, and 90% do not use validated OSA screening tools.31 Screening tools that have been validated are the STOP, STOP-BANG, Epworth Sleepiness Scale, and 4-Variable Screening Tool. However, the US Department of Veterans Affairs and the US Department of Defense have a more recent guideline recommending STOP as an easier-to-administer screen for OSA.32 A positive result with a screening tool should be confirmed with polysomnography.32
Continue to: Intervention for OSA
Intervention for OSA. The longest randomized controlled study to date, Sleep AHEAD, evaluated over a period of 10 years the effect of weight loss on OSA severity achieved with either an intensive lifestyle intervention (ILI) or with diabetes support and education (DSE).33 OSA severity is rated on an Apnea-Hypopnea Index (AHI), with scores reflecting the number of sleep apnea events per hour. This study demonstrated that weight loss was associated with decreased OSA severity. At 4-year follow-up, the greater the weight loss with ILI intervention, the lower the patients’ OSA severity scores. The study found an average decrease in AHI of 0.68 events per hour for every kilogram of weight loss in the ILI group (P < .0001).33,34 Over the follow-up visits, the ILI participants had 7.4 events per hour, a more significantly reduced AHI than the DSE participants (P < .0001).33,34
Additionally, a small cohort of study participants achieved OSA remission (ILI, 34.4%; DSE, 22.2%), indicated by a low AHI score (< 5 events per hour). At the conclusion of the study, OSA severity decreased to a greater degree with ILI intervention.33,34
Alcohol and drug use can negatively influence sleep patterns and obesity. Higher alcohol consumption is associated with poorer sleep quality and higher chances of developing short sleep duration and snoring.35 Alcohol, a muscle relaxant, causes upper airway narrowing and reduced tongue muscle tone, thereby increasing snoring and OSA as demonstrated by increased AHI on polysomnography after alcohol intake. Alcohol also changes sleep architecture by increasing slow-wave sleep, decreasing REM sleep duration, and increasing sleep arousal in the second half of the night.36 Disrupted circadian rhythm after alcohol consumption was correlated with increased adenosine neurotransmitters derived from ethanol metabolism.37 Alcohol dependence may be related to other psychiatric symptoms, and chronic alcohol use eventually alters sleep mechanisms leading to persistent insomnia, further perpetuating adverse outcomes such as suicidal ideation.36 There are positive associations between beer drinking and measures of abdominal adiposity in men, and “the combination of short sleep duration [and] disinhibited eating … is associated with greater alcohol intake and excess weight.”38
Therefore, counsel patients to avoid alcohol since it is a modifiable risk factor with pervasive adverse health effects.
Many drugs have a profound effect on sleep patterns. Illicit drug use in particular can affect the brain’s neurotransmitter serotonin system. For example, ecstasy users have an increased risk for OSA.39 People with cocaine and heroin use disorder tend to have more sleep-maintenance insomnia.40
Continue to: In contrast, those with alcohol...
In contrast, those with alcohol or cannabis use disorder tend to have more sleep-onset insomnia.40 Not only do illicit drugs interrupt sleep, but daily tobacco use also has been correlated with increased insomnia and shorter sleep duration since nicotine is a stimulant.41
Insomnia is commonly treated with sedative antidepressants and hypnotics—eg, mirtazapine and olanzapine—that contribute to weight gain.42 In addition, other common pharmaceuticals used for sleep disorders, such as diphenhydramine, have sedative properties and tend to lead to weight gain.43 Because so many medications affect sleep and weight, carefully review patients’ medication lists and switch offending agents to weight-neutral drugs if possible.
Treatment and tools to improve sleep in patients with obesity
Given the strong correlation between obesity and sleep disorders, validated screening tools should be used to assess sleep quality, including onset and potential symptoms associated with poor sleep (TABLE 144). For weight management to succeed in patients with obesity, it is crucial to address sleep in addition to nutrition and physical activity.17,45
Physical activity has many benefits to overall health, especially for chronic diseases such as type 2 diabetes and hypertension. The Centers for Disease Control and Prevention recommends at least 150 minutes of moderate-intensity aerobic activity or 75 minutes of vigorous-intensity aerobic exercise per week in addition to muscle-strengthening activities 2 or more days per week.46 However, approximately 300 minutes of moderate-
Physical activity and diet in combination are vital, but diet restriction has a more substantial effect on weight loss than physical activity alone.48 Still, physical activity is essential in helping maintain and prevent weight regain.
Continue to: Nonpharmacologic interventions
Nonpharmacologic interventions include promoting greater sleep quality and quantity by emphasizing good sleep hygiene practices. Developing a practical and effective bedtime routine, creating a quiet sleep environment, and practicing healthy daily habits are essential components to sleep hygiene (TABLE 249,50). Relaxation techniques and cognitive behavioral therapy (CBT) also can help. CBT for insomnia (CBT-I) is the first-line intervention for chronic insomnia.51 Sleep restriction is a type of CBT used to treat insomnia, encouraging short-term sleep loss in the hopes of improving insomnia. A trial by Logue et al showed that patients with overweight and obesity randomized to undergo CBT with better sleep hygiene (nonpharmacologic) interventions had a greater mean weight loss percentage (5% vs 2%; P = .04) than did those who received CBT alone.52
Eastern medicine including herbal interventions lack evidence of efficacy and safety. Further studies need to be done on the effects that chamomile, kava, valerian root (Valeriana officinalis), tryptophan, and Wu Ling (from mycelia Xylaria nigripes) might have on sleep.53
Proceed cautiously with medication. The American College of Physicians recommends a shared decision-making approach when considering pharmacologic therapy for chronic insomnia and the American Academy of Sleep Medicine (AASM) offers guidance on options.51,54 However, the evidence behind AASM sleep pharmacologic recommendations is weak, implying a lesser degree of confidence in the outcome and, therefore, in its appropriateness. Thus, it falls upon the clinician and patient to weigh the benefits and burdens of the pharmacologic treatments of insomnia. If indicated, medications suggested to treat sleep onset and sleep maintenance insomnia are eszopiclone, zolpidem, and temazepam. Zaleplon, triazolam, and ramelteon may improve sleep initiation. Suvorexant and doxepin are used for sleep-maintenance insomnia.54 Exploring patient preferences, cost of treatment, health care options, and available resources should all be considered.
CORRESPONDENCE
Ecler Ercole Jaqua, MD, MBA, FAAFP, AGSF, FACLM, DipABOM, Loma Linda University Health, 25455 Barton Road, Suite 206A, Loma Linda, CA 92354; ejaqua@llu.edu
Sleep is fundamental to overall health and longevity, with the average person spending about one-third of their life sleeping.1 Adequate sleep is critical for optimal cognition, memory consolidation, mood regulation, metabolism, appetite regulation, and immune and hormone functioning. According to the American Academy of Sleep Medicine and the Sleep Research Society, adults should sleep at least 7 hours per night on a regular basis “to promote optimal health.”2 Yet, between 2013 and 2020, only about 65% of adults in the United States were meeting this amount.3 Insufficient sleep is associated with an increased risk for chronic health conditions, including obesity, diabetes, cardiovascular diseases, and even premature death.4
In a population-based longitudinal study of sleep disorders, short sleep duration was associated with increased body mass index (BMI), low blood levels of leptin, and high ghrelin levels.5 In addition to physical impairments, poor sleep can impair cognitive performance and lead to vehicular accidents and increased accidents at work.4 The potential economic impact that this may have is significant, and includes increased costs and loss of productivity in the workplace.6
Many factors may contribute to short sleep duration: environment, mental and physical condition, and social influences such as occupation, family responsibilities, travel, group activities, and personal care. Furthermore, the rapidly evolving and developing media, communication, and entertainment industries are already strongly implicated in poor sleep quality and quantity, both contributing to excessive daytime sleepiness.7 Poor sleep quality is most notable in modern societies, and it correlates with the increasing prevalence of obesity, likely due to sleep’s effect on food consumption and physical activity.8 Optimizing a person’s sleep will improve overall health and longevity by inhibiting the development of chronic disease.
How insufficient sleep raises the risk for obesity
Not only is sleep beneficial for brain health, memory, learning, and growth, its effect on food consumption and physical activity likely correlates with the increased prevalence of obesity in modern society. Yet the optimal amount of sleep is controversial, and current recommendations of 7 or more hours of sleep per night for adults are derived from expert panels only.2 The recommended sleep duration for children is longer, and it varies by age.9 The quality of sleep and its impact on neuroendocrine hormones, not just the quantity of sleep, needs to be factored into these recommendations.
Sleep restriction activates the orexigenic system via the hormones leptin and ghrelin. These hormones control the food reward system, essentially increasing hunger and food intake. Leptin, created by white adipose tissue, is responsible for satiety and decreased food consumption.10 Ghrelin, made by oxyntic glands in the stomach, is responsible for the sensation of hunger.
In a 2004 study by Spiegel et al,11 leptin and ghrelin levels were measured during 2 days of sleep restriction (4 hours in bed) and sleep extension (10 hours in bed). Sleep restriction was associated with a decrease in leptin levels and an increase in ghrelin levels. The researchers reported that participants experienced an increase in hunger and appetite—especially for calorie-dense foods with high carbohydrate content.
Although research design has limitations with predominantly self-reported sleep data, studies have shown that short sleep time leads to increased food intake by increasing hunger signals and craving of unhealthy foods, and by providing more opportunities to eat while awake. It also may lead to decreased physical activity, creating a sedentary lifestyle that further encourages obesity.8 Reduced sleep is even correlated to decreased efficacy of weight-loss treatments.12
Continue to: Other sleep characteristics weakly correlated with obesity
Other sleep characteristics weakly correlated with obesity are sleep variability, timing, efficiency, quality, and daytime napping.8 Sleep variability causes dysregulation of eating patterns, leading to increased food intake. A shift to later sleep and waking times often results in higher consumption of calories after 8
Poor sleep efficiency and quality decreases N3-stage (deep non-REM) sleep, affects the autonomic nervous system, and has been associated with increased abdominal obesity. Daytime napping, which can cause irregular circadian rhythms and sleep schedules, is associated with increased obesity.15 Thus, each component of sleep needs to be assessed to promote optimal regulation of the orexigenic system.
Another study showed that inadequate sleep not only promotes unhealthy lifestyle habits that can lead to obesity but also decreases the ability to lose weight.16 This small study with 10 overweight patients provided its subjects with a controlled caloric intake over 2 weeks. Patients spent two 14-day periods 3 months apart in the laboratory, divided into 2 time-in-bed arms of 8.5 and 5.5 hours per night. Neuroendocrine changes caused by decreased sleep were associated with a significant lean body mass loss while conserving energy-dense fat.16 This study highlights the importance of sleep hygiene counseling when developing a weight-management plan with patients.
Sleep, and its many components, play an integral role in the prevention and treatment of obesity.17 Poor sleep will increase the risk for obesity and hinder its treatment. Therefore, sleep quality and duration are vital components of obesity management.
The sleep–obesity link in children and the elderly
Childhood obesity is linked to several chronic diseases in adulthood, including type 2 diabetes, cardiovascular disease, nonalcoholic fatty liver disease, asthma, and obstructive sleep apnea (OSA).18 According to 2017-2018 NHANES (National Health and Nutrition Examination Surveys) data, obesity (BMI ≥ 95th percentile) prevalence among children and adolescents was reported at 19.3% and severe obesity (BMI ≥ 120% of the 95th percentile) at 6.1%. Pediatric overweight prevalence (≥ 85th percentile and < 95th percentile) was 16.1%.19
Continue to: Although poor sleep is associated...
Although poor sleep is associated with increased risk for obesity, there is no proven cause-effect relationship.20 Nutrition and physical activity have been identified as 2 critical factors in childhood obesity, but sleep health also needs to be investigated. Shorter sleep duration is strongly associated with the development of obesity. Furthermore, children with obesity are more likely to have shorter sleep duration.21 A short sleep duration alters plasma levels of insulin, low-density lipoprotein, and high-sensitivity C-reactive protein. It is associated with lower diet quality, an increased intake of nutrient-poor foods, and a lower intake of vegetables and fruits.22 Recent studies have shown that interventions to promote earlier bedtimes can improve sleep duration in children.
Older adults have many sleeping issues, including insomnia, circadian rhythm sleep-wake disorders, sleep-related movement disorders, and sleep-breathing disorders. Additionally, the older population has increased sleep latency, decreased sleep efficiency and total sleep time, decreased REM sleep, more frequent nighttime awakenings, and more daytime napping.23 The increased sleep disturbance with age is mainly related to higher risk factors for sleep disorders than the aging process itself. Sleeping 5 or fewer hours is associated with an increased risk for obesity and central abdominal fat compared with those who sleep 7 to 8 hours per night.24 Similar to children and youth, older adults also show a strong correlation between inadequate sleep and obesity.24
The consequence: A vicious cycle
Obesity in turn leads to shorter sleep duration and more disruptions. This negatively affects the orexigenic system, and the resulting hormonal derangement promotes worsening obesity. It is a cycle of poor sleep causing obesity and obesity causing poor sleep. Insomnia, in combination with shorter (and longer) sleep times, also has been linked with obesity.25 These patients experience more daytime sleepiness, fatigue, and nighttime sleep disturbances, all correlated with decreased quality of life and higher prevalence of medical comorbidities.8,26 Additional comorbidities secondary to obesity, including gastroesophageal reflux, depression, and asthma, also have been linked to sleep disturbances.8
OSA is a common sleep complication associated with obesity. With the increasing prevalence of obesity, the prevalence of OSA is rising.8,27 Factors that heighten the risk for OSA are male sex, age 40 to 70 years, postmenopausal status, elevated BMI, and craniofacial and upper airway abnormality.28 However, the US Preventive Services Task Force found insufficient evidence to screen for or treat OSA in asymptomatic adults.28 Signs and symptoms of OSA include nighttime awakenings with choking, loud snoring, and feeling unrefreshed after sleep.29
OSA is caused by the intermittent narrowing and obstruction of the pharyngeal airway due to anatomical and structural irregularities or neuromuscular impairments. Untreated OSA is associated with cardiovascular disease and cardiac arrhythmias such as atrial fibrillation. Even with this correlation between obesity and sleep, it is estimated that 80% of OSA remains undiagnosed.30 Approximately half of primary care clinicians do not screen at-risk patients for OSA, and 90% do not use validated OSA screening tools.31 Screening tools that have been validated are the STOP, STOP-BANG, Epworth Sleepiness Scale, and 4-Variable Screening Tool. However, the US Department of Veterans Affairs and the US Department of Defense have a more recent guideline recommending STOP as an easier-to-administer screen for OSA.32 A positive result with a screening tool should be confirmed with polysomnography.32
Continue to: Intervention for OSA
Intervention for OSA. The longest randomized controlled study to date, Sleep AHEAD, evaluated over a period of 10 years the effect of weight loss on OSA severity achieved with either an intensive lifestyle intervention (ILI) or with diabetes support and education (DSE).33 OSA severity is rated on an Apnea-Hypopnea Index (AHI), with scores reflecting the number of sleep apnea events per hour. This study demonstrated that weight loss was associated with decreased OSA severity. At 4-year follow-up, the greater the weight loss with ILI intervention, the lower the patients’ OSA severity scores. The study found an average decrease in AHI of 0.68 events per hour for every kilogram of weight loss in the ILI group (P < .0001).33,34 Over the follow-up visits, the ILI participants had 7.4 events per hour, a more significantly reduced AHI than the DSE participants (P < .0001).33,34
Additionally, a small cohort of study participants achieved OSA remission (ILI, 34.4%; DSE, 22.2%), indicated by a low AHI score (< 5 events per hour). At the conclusion of the study, OSA severity decreased to a greater degree with ILI intervention.33,34
Alcohol and drug use can negatively influence sleep patterns and obesity. Higher alcohol consumption is associated with poorer sleep quality and higher chances of developing short sleep duration and snoring.35 Alcohol, a muscle relaxant, causes upper airway narrowing and reduced tongue muscle tone, thereby increasing snoring and OSA as demonstrated by increased AHI on polysomnography after alcohol intake. Alcohol also changes sleep architecture by increasing slow-wave sleep, decreasing REM sleep duration, and increasing sleep arousal in the second half of the night.36 Disrupted circadian rhythm after alcohol consumption was correlated with increased adenosine neurotransmitters derived from ethanol metabolism.37 Alcohol dependence may be related to other psychiatric symptoms, and chronic alcohol use eventually alters sleep mechanisms leading to persistent insomnia, further perpetuating adverse outcomes such as suicidal ideation.36 There are positive associations between beer drinking and measures of abdominal adiposity in men, and “the combination of short sleep duration [and] disinhibited eating … is associated with greater alcohol intake and excess weight.”38
Therefore, counsel patients to avoid alcohol since it is a modifiable risk factor with pervasive adverse health effects.
Many drugs have a profound effect on sleep patterns. Illicit drug use in particular can affect the brain’s neurotransmitter serotonin system. For example, ecstasy users have an increased risk for OSA.39 People with cocaine and heroin use disorder tend to have more sleep-maintenance insomnia.40
Continue to: In contrast, those with alcohol...
In contrast, those with alcohol or cannabis use disorder tend to have more sleep-onset insomnia.40 Not only do illicit drugs interrupt sleep, but daily tobacco use also has been correlated with increased insomnia and shorter sleep duration since nicotine is a stimulant.41
Insomnia is commonly treated with sedative antidepressants and hypnotics—eg, mirtazapine and olanzapine—that contribute to weight gain.42 In addition, other common pharmaceuticals used for sleep disorders, such as diphenhydramine, have sedative properties and tend to lead to weight gain.43 Because so many medications affect sleep and weight, carefully review patients’ medication lists and switch offending agents to weight-neutral drugs if possible.
Treatment and tools to improve sleep in patients with obesity
Given the strong correlation between obesity and sleep disorders, validated screening tools should be used to assess sleep quality, including onset and potential symptoms associated with poor sleep (TABLE 144). For weight management to succeed in patients with obesity, it is crucial to address sleep in addition to nutrition and physical activity.17,45
Physical activity has many benefits to overall health, especially for chronic diseases such as type 2 diabetes and hypertension. The Centers for Disease Control and Prevention recommends at least 150 minutes of moderate-intensity aerobic activity or 75 minutes of vigorous-intensity aerobic exercise per week in addition to muscle-strengthening activities 2 or more days per week.46 However, approximately 300 minutes of moderate-
Physical activity and diet in combination are vital, but diet restriction has a more substantial effect on weight loss than physical activity alone.48 Still, physical activity is essential in helping maintain and prevent weight regain.
Continue to: Nonpharmacologic interventions
Nonpharmacologic interventions include promoting greater sleep quality and quantity by emphasizing good sleep hygiene practices. Developing a practical and effective bedtime routine, creating a quiet sleep environment, and practicing healthy daily habits are essential components to sleep hygiene (TABLE 249,50). Relaxation techniques and cognitive behavioral therapy (CBT) also can help. CBT for insomnia (CBT-I) is the first-line intervention for chronic insomnia.51 Sleep restriction is a type of CBT used to treat insomnia, encouraging short-term sleep loss in the hopes of improving insomnia. A trial by Logue et al showed that patients with overweight and obesity randomized to undergo CBT with better sleep hygiene (nonpharmacologic) interventions had a greater mean weight loss percentage (5% vs 2%; P = .04) than did those who received CBT alone.52
Eastern medicine including herbal interventions lack evidence of efficacy and safety. Further studies need to be done on the effects that chamomile, kava, valerian root (Valeriana officinalis), tryptophan, and Wu Ling (from mycelia Xylaria nigripes) might have on sleep.53
Proceed cautiously with medication. The American College of Physicians recommends a shared decision-making approach when considering pharmacologic therapy for chronic insomnia and the American Academy of Sleep Medicine (AASM) offers guidance on options.51,54 However, the evidence behind AASM sleep pharmacologic recommendations is weak, implying a lesser degree of confidence in the outcome and, therefore, in its appropriateness. Thus, it falls upon the clinician and patient to weigh the benefits and burdens of the pharmacologic treatments of insomnia. If indicated, medications suggested to treat sleep onset and sleep maintenance insomnia are eszopiclone, zolpidem, and temazepam. Zaleplon, triazolam, and ramelteon may improve sleep initiation. Suvorexant and doxepin are used for sleep-maintenance insomnia.54 Exploring patient preferences, cost of treatment, health care options, and available resources should all be considered.
CORRESPONDENCE
Ecler Ercole Jaqua, MD, MBA, FAAFP, AGSF, FACLM, DipABOM, Loma Linda University Health, 25455 Barton Road, Suite 206A, Loma Linda, CA 92354; ejaqua@llu.edu
1. Aminoff MJ, Boller F, Swaab DF. We spend about one-third of our life either sleeping or attempting to do so. Handb Clin Neurol. 2011;98:vii. doi: 10.1016/B978-0-444-52006-7.00047-2
2. Watson NF, Badr MS, Belenky G, et al. Recommended amount of sleep for a healthy adult: a joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38:843-844. doi: 10.5665/sleep.4716
3. CDC. Sleep and sleep disorders, adults. Accessed September 21, 2023. www.cdc.gov/sleep/data-and-statistics/adults.html
4. Chattu VK, Manzar MD, Kumary S. The global problem of insufficient sleep and its serious public health implications. Healthcare (Basel). 2019;7:1. doi: 10.3390/healthcare7010001
5. Taheri S, Lin L, Austin D, et al. Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index. PLoS Med. 2004;1:e62. doi: 10.1371/journal.pmed.0010062
6. Hafner M, Stepanek M, Taylor J, et al. Why sleep matters—the economic costs of insufficient sleep. Rand Health Q. 2017;6:11.
7. Hisler G, Twenge JM, Krizan Z. Associations between screen time and short sleep duration among adolescents varies by media type: evidence from a cohort study. Sleep Med. 2020;66:92-102. doi: 10.1016/j.sleep.2019.08.007
8. Ogilvie RP, Patel SR. The epidemiology of sleep and obesity. Sleep Health. 2017;3:383-388. doi: 10.1016/j.sleh.2017.07.013
9. CDC. Sleep and sleep disorders: How much sleep do I need? Accessed September 21, 2023. www.cdc.gov/sleep/about_sleep/how_much_sleep.html
10. van Egmond LT, Meth EMS, Engström J, et al. Effects of acute sleep loss on leptin, ghrelin, and adiponectin in adults with healthy weight and obesity: a laboratory study. Obesity (Silver Spring). 2023;31:635-641. doi: 10.1002/oby.23616
11. Spiegel K, Tasali E, Penev P, et al. Brief communication: sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med. 2004;141:846-850. doi: 10.7326/0003-4819-141-11-200412070-00008
12. Antza C, Kostopoulos G, Mostafa S, et al. The links between sleep duration, obesity and type 2 diabetes mellitus. J Endocrinol. 2021;252:125-141. doi: 10.1530/JOE-21-0155
13. Baron KG, Reid KJ, Kern AS, et al. Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring). 2011;19:1374-1381. doi: 10.1038/oby.2011.100
14. Liu XY, Zheng CL, Xu C, et al. Nighttime snacking is associated with risk of obesity and hyperglycemia in adults: a cross-sectional survey from Chinese adult teachers J Biomed Res. 2017;31:541-547. doi: 10.7555/JBR.31.20160083
15. Cai Z, Yang Y, Zhang J, et al. The relationship between daytime napping and obesity: a systematic review and meta-analysis. Sci Rep. 2023.13:12124. doi: 10.1038/s41598-023-37883-7
16. Nedeltcheva AV, Kilkus JM, Imperial J, et al. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153:435-441. doi: 10.7326/0003-4819-153-7-201010050-00006
17. Chaput JP, Tremblay A. Adequate sleep to improve the treatment of obesity. CMAJ. 2012;184:1975-1976. doi: 10.1503/cmaj.120876
18. Kelsey MM, Zaepfel A, Bjornstad P, et al. Age-related consequences of childhood obesity. Gerontology. 2014;60:222-228. doi: 10.1159/000356023
19. Fryar CD, Carroll MD, Afful J. Prevalence of overweight, obesity, and severe obesity among children and adolescents aged 2-19 years: United States, 1963-1965 through 2017-2018. National Center for Health Statistics Health E-Stats. Updated January 29, 2021. Accessed September 21, 2021. www.cdc.gov/nchs/data/hestat/obesity-child-17-18/overweight-obesity-child-H.pdf
20. Fatima Y, Doi SAR, Mamun AA. Sleep quality and obesity in young subjects: a meta-analysis. Obes Rev. 2016;17:1154-1166. doi: 10.1111/obr.12444
21. Gohil A, Hannon TS. Poor sleep and obesity: concurrent epidemics in adolescent youth. Front Endocrinol. 2018;9:364. doi: 10.3389/fendo.2018.00364
22. Golley RK, Maher CA, Matricciani L, et al. Sleep duration or bedtime? Exploring the association between sleep timing behaviour, diet and BMI in children and adolescents. Int J Obes (Lond). 2013;37:546-551. doi: 10.1038/ijo.2012.212
23. Alessi CA. Sleep issues. In: Harper GM, Lyons WL, Potter JF, eds. Geriatrics Review Syllabus (GRS 10). Updated January 2021. Accessed August 29, 2023. http://geriatricscareonline.org
24. Patel SR, Blackwell T, Redline S, et al. The association between sleep duration and obesity in older adults. Int J Obes (Lond). 2008;32:1825-1834. doi: 10.1038/ijo.2008.198
25. Cai GH, Theorell-Haglöw J, Janson C, et al. Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity. Sleep Med. 2018;46:81-87. doi: 10.1016/j.sleep.2018.03.009
26. Beccuti G, Pannain S. Sleep and obesity. Curr Opin Clin Nutr Metab Care. 2011;14:402-412. doi: 10.1097/MCO.0b013 e3283479109
27. Franklin KA, Lindberg E. Obstructive sleep apnea is a common disorder in the population–a review on the epidemiology of sleep apnea. J Thorac Dis. 2015;7:1311-1322. doi: 10.3978/j.issn.2072-1439.2015.06.11
28. USPSTF. Bibbins-Domingo K, Grossman DC, Curry SJ, et al. Screening for obstructive sleep apnea in adults: US Preventive Services Task Force recommendation statement. JAMA. 2017;317:407-414. doi: 10.1001/jama.2016.20325
29. Goyal M, Johnson J. Obstructive sleep apnea diagnosis and management. Mo Med. 2017;114:120-124.
30. American Academy of Sleep Medicine. Hidden health crisis costing America billions: underdiagnosing and undertreating obstructive sleep apnea draining healthcare system. 2016. Accessed September 25, 2023. https://aasm.org/wp-content/uploads/2017/10/sleep-apnea-economic-crisis.pdf
31. Devaraj, NK. Knowledge, attitude, and practice regarding obstructive sleep apnea among primary care physicians. Sleep Breath. 2020;24:1581-1590. doi: 10.1007/s11325-020-02040-1
32. Mysliwiec V, Martin JL, Ulmer CS, et al. The management of chronic insomnia disorder and obstructive sleep apnea: synopsis of the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guidelines. Ann Intern Med. 2020;172:325-336. doi: 10.7326/M19-3575
33. Kuna ST, Reboussin DM, Strotmeyer ES, et al. Effects of weight loss on obstructive sleep apnea severity. Ten-year results of the Sleep AHEAD study. Am J Respir Crit Care Med. 2021;203:221-229. doi: 10.1164/rccm.201912-2511OC
34. St-Onge MP, Tasali E. Weight loss is integral to obstructive sleep apnea management. Ten-year follow-up in Sleep AHEAD. Am J Respir Crit Care Med. 2021;203:161-162. doi: 10.1164/rccm.202007-2906ED
35. Zheng D, Yuan X, Ma C, et al. Alcohol consumption and sleep quality: a community-based study. Public Health Nutr. 2021;24:4851-4858. doi: 10.1017/S1368980020004553
36. Chakravorty S, Chaudhary NS, Brower KJ. Alcohol dependence and its relationship with insomnia and other sleep disorders. Alcohol Clin Exp Res. 2016;40:2271-2282. doi: 10.1111/acer.13217
37. Elmenhorst EM, Elmenhorst D, Benderoth S, et al. Cognitive impairments by alcohol and sleep deprivation indicate trait characteristics and a potential role for adenosine A1 receptors. Proc Natl Acad Sci U S A. 2018;115:8009-8014. doi: 10.1073/pnas.1803770115
38. Traversy G, Chaput JP. Alcohol consumption and obesity: an update. Curr Obes Rep. 2015;4:122-130. doi: 10.1007/s13679-014-0129-4
39. McCann UD, Sgambati FP, Schwartz AR, et al. Sleep apnea in young abstinent recreational MDMA (“ecstasy”) consumers. Neurology. 2009;73:2011-2017. doi: 10.1212/WNL.0b013e3181c51a62
40. Grau-López L, Grau-López L, Daigre C, et al. Insomnia symptoms in patients with substance use disorders during detoxification and associated clinical features. Front Psychiatry. 2020;11:540022. doi: 10.3389/fpsyt.2020.540022
41. Boehm MA, Lei QM, Lloyd RM, et al. Depression, anxiety, and tobacco use: overlapping impediments to sleep in a national sample of college students. J Am Coll Health. 2016;64:565-574. doi: 10.1080/07448481.2016.1205073
42. Gracious BL, Meyer AE. Psychotropic-induced weight gain and potential pharmacologic treatment strategies. Psychiatry (Edgmont). 2005;2:36-42.
43. Ratliff JC, Barber JA, Palmese LB, et al. Association of prescription H1 antihistamine use with obesity: results from the National Health and Nutrition Examination Survey. Obesity (Silver Spring). 2010;18:2398-2400. doi: 10.1038/oby.2010.176
44. Pataka A, Daskalopoulou E, Kalamaras G, et al. Evaluation of five different questionnaires for assessing sleep apnea syndrome in a sleep clinic. Sleep Med. 2014;15:776-781. doi: 10.1016/j.sleep.2014.03.012
45. Kline CE, Chasens ER, Bizhanova Z, et al. The association between sleep health and weight change during a 12-month behavioral weight loss intervention. Int J Obes (Lond). 2021;45:639-649. doi: 10.1038/s41366-020-00728-8
46. CDC. How much physical activity do adults need? Accessed August 23, 2023. www.cdc.gov/physicalactivity/basics/adults/index.htm
47. Flack KD, Hays HM, Moreland J, et al. Exercise for weight loss: further evaluating energy compensation with exercise. Med Sci Sports Exerc. 2020;52:2466-2475. doi: 10.1249/MSS.0000000000002376
48. Swift DL, Johannsen NM, Lavie CJ, et al. The role of exercise and physical activity in weight loss and maintenance. Prog Cardiovasc Dis. 2014;56:441-447. doi: 10.1016/j.pcad.2013.09.012
49. Irish LA, Kline CE, Gunn HE, et al. The role of sleep hygiene in promoting public health: a review of empirical evidence. Sleep Med Rev. 2015;22:23-36. doi: 10.1016/j.smrv.2014.10.001
50. CDC. Tips for better sleep. 2022. Accessed August 4, 2023. www.cdc.gov/sleep/about_sleep/sleep_hygiene.html
51. Qaseem A, Kansagara D, Forciea MA, et al. Management of chronic insomnia disorder in adults: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2016;165:125-133. doi: 10.7326/M15-2175
52. Logue EE, Bourguet CC, Palmieri PA, et al. The better weight-better sleep study: a pilot intervention in primary care. Am J Health Behav. 2012;36:319-334. doi: 10.5993/AJHB.36.3.4
53. Leach MJ, Page AT. Herbal medicine for insomnia: a systematic review and meta-analysis. Sleep Med Rev. 2015;24:1-12. doi: 10.1016/j.smrv.2014.12.003
54. Sateia MJ, Buysse DJ, Krystal AD, et al. Clinical practice guideline for the pharmacologic treatment of chronic insomnia in adults: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13:307-349. doi: 10.5664/jcsm.6470
1. Aminoff MJ, Boller F, Swaab DF. We spend about one-third of our life either sleeping or attempting to do so. Handb Clin Neurol. 2011;98:vii. doi: 10.1016/B978-0-444-52006-7.00047-2
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8. Ogilvie RP, Patel SR. The epidemiology of sleep and obesity. Sleep Health. 2017;3:383-388. doi: 10.1016/j.sleh.2017.07.013
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10. van Egmond LT, Meth EMS, Engström J, et al. Effects of acute sleep loss on leptin, ghrelin, and adiponectin in adults with healthy weight and obesity: a laboratory study. Obesity (Silver Spring). 2023;31:635-641. doi: 10.1002/oby.23616
11. Spiegel K, Tasali E, Penev P, et al. Brief communication: sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med. 2004;141:846-850. doi: 10.7326/0003-4819-141-11-200412070-00008
12. Antza C, Kostopoulos G, Mostafa S, et al. The links between sleep duration, obesity and type 2 diabetes mellitus. J Endocrinol. 2021;252:125-141. doi: 10.1530/JOE-21-0155
13. Baron KG, Reid KJ, Kern AS, et al. Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring). 2011;19:1374-1381. doi: 10.1038/oby.2011.100
14. Liu XY, Zheng CL, Xu C, et al. Nighttime snacking is associated with risk of obesity and hyperglycemia in adults: a cross-sectional survey from Chinese adult teachers J Biomed Res. 2017;31:541-547. doi: 10.7555/JBR.31.20160083
15. Cai Z, Yang Y, Zhang J, et al. The relationship between daytime napping and obesity: a systematic review and meta-analysis. Sci Rep. 2023.13:12124. doi: 10.1038/s41598-023-37883-7
16. Nedeltcheva AV, Kilkus JM, Imperial J, et al. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153:435-441. doi: 10.7326/0003-4819-153-7-201010050-00006
17. Chaput JP, Tremblay A. Adequate sleep to improve the treatment of obesity. CMAJ. 2012;184:1975-1976. doi: 10.1503/cmaj.120876
18. Kelsey MM, Zaepfel A, Bjornstad P, et al. Age-related consequences of childhood obesity. Gerontology. 2014;60:222-228. doi: 10.1159/000356023
19. Fryar CD, Carroll MD, Afful J. Prevalence of overweight, obesity, and severe obesity among children and adolescents aged 2-19 years: United States, 1963-1965 through 2017-2018. National Center for Health Statistics Health E-Stats. Updated January 29, 2021. Accessed September 21, 2021. www.cdc.gov/nchs/data/hestat/obesity-child-17-18/overweight-obesity-child-H.pdf
20. Fatima Y, Doi SAR, Mamun AA. Sleep quality and obesity in young subjects: a meta-analysis. Obes Rev. 2016;17:1154-1166. doi: 10.1111/obr.12444
21. Gohil A, Hannon TS. Poor sleep and obesity: concurrent epidemics in adolescent youth. Front Endocrinol. 2018;9:364. doi: 10.3389/fendo.2018.00364
22. Golley RK, Maher CA, Matricciani L, et al. Sleep duration or bedtime? Exploring the association between sleep timing behaviour, diet and BMI in children and adolescents. Int J Obes (Lond). 2013;37:546-551. doi: 10.1038/ijo.2012.212
23. Alessi CA. Sleep issues. In: Harper GM, Lyons WL, Potter JF, eds. Geriatrics Review Syllabus (GRS 10). Updated January 2021. Accessed August 29, 2023. http://geriatricscareonline.org
24. Patel SR, Blackwell T, Redline S, et al. The association between sleep duration and obesity in older adults. Int J Obes (Lond). 2008;32:1825-1834. doi: 10.1038/ijo.2008.198
25. Cai GH, Theorell-Haglöw J, Janson C, et al. Insomnia symptoms and sleep duration and their combined effects in relation to associations with obesity and central obesity. Sleep Med. 2018;46:81-87. doi: 10.1016/j.sleep.2018.03.009
26. Beccuti G, Pannain S. Sleep and obesity. Curr Opin Clin Nutr Metab Care. 2011;14:402-412. doi: 10.1097/MCO.0b013 e3283479109
27. Franklin KA, Lindberg E. Obstructive sleep apnea is a common disorder in the population–a review on the epidemiology of sleep apnea. J Thorac Dis. 2015;7:1311-1322. doi: 10.3978/j.issn.2072-1439.2015.06.11
28. USPSTF. Bibbins-Domingo K, Grossman DC, Curry SJ, et al. Screening for obstructive sleep apnea in adults: US Preventive Services Task Force recommendation statement. JAMA. 2017;317:407-414. doi: 10.1001/jama.2016.20325
29. Goyal M, Johnson J. Obstructive sleep apnea diagnosis and management. Mo Med. 2017;114:120-124.
30. American Academy of Sleep Medicine. Hidden health crisis costing America billions: underdiagnosing and undertreating obstructive sleep apnea draining healthcare system. 2016. Accessed September 25, 2023. https://aasm.org/wp-content/uploads/2017/10/sleep-apnea-economic-crisis.pdf
31. Devaraj, NK. Knowledge, attitude, and practice regarding obstructive sleep apnea among primary care physicians. Sleep Breath. 2020;24:1581-1590. doi: 10.1007/s11325-020-02040-1
32. Mysliwiec V, Martin JL, Ulmer CS, et al. The management of chronic insomnia disorder and obstructive sleep apnea: synopsis of the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guidelines. Ann Intern Med. 2020;172:325-336. doi: 10.7326/M19-3575
33. Kuna ST, Reboussin DM, Strotmeyer ES, et al. Effects of weight loss on obstructive sleep apnea severity. Ten-year results of the Sleep AHEAD study. Am J Respir Crit Care Med. 2021;203:221-229. doi: 10.1164/rccm.201912-2511OC
34. St-Onge MP, Tasali E. Weight loss is integral to obstructive sleep apnea management. Ten-year follow-up in Sleep AHEAD. Am J Respir Crit Care Med. 2021;203:161-162. doi: 10.1164/rccm.202007-2906ED
35. Zheng D, Yuan X, Ma C, et al. Alcohol consumption and sleep quality: a community-based study. Public Health Nutr. 2021;24:4851-4858. doi: 10.1017/S1368980020004553
36. Chakravorty S, Chaudhary NS, Brower KJ. Alcohol dependence and its relationship with insomnia and other sleep disorders. Alcohol Clin Exp Res. 2016;40:2271-2282. doi: 10.1111/acer.13217
37. Elmenhorst EM, Elmenhorst D, Benderoth S, et al. Cognitive impairments by alcohol and sleep deprivation indicate trait characteristics and a potential role for adenosine A1 receptors. Proc Natl Acad Sci U S A. 2018;115:8009-8014. doi: 10.1073/pnas.1803770115
38. Traversy G, Chaput JP. Alcohol consumption and obesity: an update. Curr Obes Rep. 2015;4:122-130. doi: 10.1007/s13679-014-0129-4
39. McCann UD, Sgambati FP, Schwartz AR, et al. Sleep apnea in young abstinent recreational MDMA (“ecstasy”) consumers. Neurology. 2009;73:2011-2017. doi: 10.1212/WNL.0b013e3181c51a62
40. Grau-López L, Grau-López L, Daigre C, et al. Insomnia symptoms in patients with substance use disorders during detoxification and associated clinical features. Front Psychiatry. 2020;11:540022. doi: 10.3389/fpsyt.2020.540022
41. Boehm MA, Lei QM, Lloyd RM, et al. Depression, anxiety, and tobacco use: overlapping impediments to sleep in a national sample of college students. J Am Coll Health. 2016;64:565-574. doi: 10.1080/07448481.2016.1205073
42. Gracious BL, Meyer AE. Psychotropic-induced weight gain and potential pharmacologic treatment strategies. Psychiatry (Edgmont). 2005;2:36-42.
43. Ratliff JC, Barber JA, Palmese LB, et al. Association of prescription H1 antihistamine use with obesity: results from the National Health and Nutrition Examination Survey. Obesity (Silver Spring). 2010;18:2398-2400. doi: 10.1038/oby.2010.176
44. Pataka A, Daskalopoulou E, Kalamaras G, et al. Evaluation of five different questionnaires for assessing sleep apnea syndrome in a sleep clinic. Sleep Med. 2014;15:776-781. doi: 10.1016/j.sleep.2014.03.012
45. Kline CE, Chasens ER, Bizhanova Z, et al. The association between sleep health and weight change during a 12-month behavioral weight loss intervention. Int J Obes (Lond). 2021;45:639-649. doi: 10.1038/s41366-020-00728-8
46. CDC. How much physical activity do adults need? Accessed August 23, 2023. www.cdc.gov/physicalactivity/basics/adults/index.htm
47. Flack KD, Hays HM, Moreland J, et al. Exercise for weight loss: further evaluating energy compensation with exercise. Med Sci Sports Exerc. 2020;52:2466-2475. doi: 10.1249/MSS.0000000000002376
48. Swift DL, Johannsen NM, Lavie CJ, et al. The role of exercise and physical activity in weight loss and maintenance. Prog Cardiovasc Dis. 2014;56:441-447. doi: 10.1016/j.pcad.2013.09.012
49. Irish LA, Kline CE, Gunn HE, et al. The role of sleep hygiene in promoting public health: a review of empirical evidence. Sleep Med Rev. 2015;22:23-36. doi: 10.1016/j.smrv.2014.10.001
50. CDC. Tips for better sleep. 2022. Accessed August 4, 2023. www.cdc.gov/sleep/about_sleep/sleep_hygiene.html
51. Qaseem A, Kansagara D, Forciea MA, et al. Management of chronic insomnia disorder in adults: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2016;165:125-133. doi: 10.7326/M15-2175
52. Logue EE, Bourguet CC, Palmieri PA, et al. The better weight-better sleep study: a pilot intervention in primary care. Am J Health Behav. 2012;36:319-334. doi: 10.5993/AJHB.36.3.4
53. Leach MJ, Page AT. Herbal medicine for insomnia: a systematic review and meta-analysis. Sleep Med Rev. 2015;24:1-12. doi: 10.1016/j.smrv.2014.12.003
54. Sateia MJ, Buysse DJ, Krystal AD, et al. Clinical practice guideline for the pharmacologic treatment of chronic insomnia in adults: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13:307-349. doi: 10.5664/jcsm.6470
PRACTICE RECOMMENDATIONS
› Consider cognitive behaviorial therapy for insomnia (CBT-I) first-line treatment for insomnia. A
› Carefully review patients’ medication lists, as many pharmaceuticals can affect weight and sleep. C
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
FDA denies approval for patisiran in ATTR cardiomyopathy, despite panel nod
the company has announced.
ATTR amyloidosis is an underdiagnosed, rapidly progressive, debilitating, fatal disease caused by misfolded TTR proteins, which accumulate as amyloid deposits in various parts of the body, including the heart.
In September, the FDA Cardiovascular and Renal Drugs Advisory Committee voted 9 to 3 that the benefits of patisiran outweigh the risks for the treatment of ATTR amyloidosis cardiomyopathy on the basis of the results of the APOLLO-B phase 3 study.
However, many panel members questioned whether the benefits are clinically meaningful – a view shared by the FDA in a complete response letter (CRL) the FDA sent to Alnylam.
According to the company, the FDA indicated in the letter that the clinical meaningfulness of patisiran’s treatment effects for the cardiomyopathy of ATTR amyloidosis have “not been established,” and therefore, the supplemental new drug application for patisiran “could not be approved in its present form.”
The FDA did not identify any issues with respect to clinical safety, study conduct, drug quality, or manufacturing.
Nonetheless, as a result of the CRL, the company said it will no longer pursue an expanded indication for patisiran in cardiomyopathy of ATTR amyloidosis in the United States.
The company said it will continue to make patisiran available for patients with cardiomyopathy of ATTR amyloidosis who are enrolled in the open-label extension period of the APOLLO-B study and the patisiran expanded access protocol.
The company also said it will continue to focus on the HELIOS-B phase 3 study of vutrisiran, an investigational RNAi therapeutic in development for the treatment of cardiomyopathy of ATTR amyloidosis.
“We remain confident in the HELIOS-B phase 3 study of vutrisiran and look forward to sharing topline results in early 2024. If successful, we believe vutrisiran will offer convenient, quarterly subcutaneous dosing with a therapeutic profile that may potentially include cardiovascular outcome benefits,” Alnylam CEO Yvonne Greenstreet, MBChB, said in the statement.
Intravenously administered patisiran is already approved in the United States and Canada for the treatment of polyneuropathy of hereditary ATTR amyloidosis in adults.
A version of this article first appeared on Medscape.com.
the company has announced.
ATTR amyloidosis is an underdiagnosed, rapidly progressive, debilitating, fatal disease caused by misfolded TTR proteins, which accumulate as amyloid deposits in various parts of the body, including the heart.
In September, the FDA Cardiovascular and Renal Drugs Advisory Committee voted 9 to 3 that the benefits of patisiran outweigh the risks for the treatment of ATTR amyloidosis cardiomyopathy on the basis of the results of the APOLLO-B phase 3 study.
However, many panel members questioned whether the benefits are clinically meaningful – a view shared by the FDA in a complete response letter (CRL) the FDA sent to Alnylam.
According to the company, the FDA indicated in the letter that the clinical meaningfulness of patisiran’s treatment effects for the cardiomyopathy of ATTR amyloidosis have “not been established,” and therefore, the supplemental new drug application for patisiran “could not be approved in its present form.”
The FDA did not identify any issues with respect to clinical safety, study conduct, drug quality, or manufacturing.
Nonetheless, as a result of the CRL, the company said it will no longer pursue an expanded indication for patisiran in cardiomyopathy of ATTR amyloidosis in the United States.
The company said it will continue to make patisiran available for patients with cardiomyopathy of ATTR amyloidosis who are enrolled in the open-label extension period of the APOLLO-B study and the patisiran expanded access protocol.
The company also said it will continue to focus on the HELIOS-B phase 3 study of vutrisiran, an investigational RNAi therapeutic in development for the treatment of cardiomyopathy of ATTR amyloidosis.
“We remain confident in the HELIOS-B phase 3 study of vutrisiran and look forward to sharing topline results in early 2024. If successful, we believe vutrisiran will offer convenient, quarterly subcutaneous dosing with a therapeutic profile that may potentially include cardiovascular outcome benefits,” Alnylam CEO Yvonne Greenstreet, MBChB, said in the statement.
Intravenously administered patisiran is already approved in the United States and Canada for the treatment of polyneuropathy of hereditary ATTR amyloidosis in adults.
A version of this article first appeared on Medscape.com.
the company has announced.
ATTR amyloidosis is an underdiagnosed, rapidly progressive, debilitating, fatal disease caused by misfolded TTR proteins, which accumulate as amyloid deposits in various parts of the body, including the heart.
In September, the FDA Cardiovascular and Renal Drugs Advisory Committee voted 9 to 3 that the benefits of patisiran outweigh the risks for the treatment of ATTR amyloidosis cardiomyopathy on the basis of the results of the APOLLO-B phase 3 study.
However, many panel members questioned whether the benefits are clinically meaningful – a view shared by the FDA in a complete response letter (CRL) the FDA sent to Alnylam.
According to the company, the FDA indicated in the letter that the clinical meaningfulness of patisiran’s treatment effects for the cardiomyopathy of ATTR amyloidosis have “not been established,” and therefore, the supplemental new drug application for patisiran “could not be approved in its present form.”
The FDA did not identify any issues with respect to clinical safety, study conduct, drug quality, or manufacturing.
Nonetheless, as a result of the CRL, the company said it will no longer pursue an expanded indication for patisiran in cardiomyopathy of ATTR amyloidosis in the United States.
The company said it will continue to make patisiran available for patients with cardiomyopathy of ATTR amyloidosis who are enrolled in the open-label extension period of the APOLLO-B study and the patisiran expanded access protocol.
The company also said it will continue to focus on the HELIOS-B phase 3 study of vutrisiran, an investigational RNAi therapeutic in development for the treatment of cardiomyopathy of ATTR amyloidosis.
“We remain confident in the HELIOS-B phase 3 study of vutrisiran and look forward to sharing topline results in early 2024. If successful, we believe vutrisiran will offer convenient, quarterly subcutaneous dosing with a therapeutic profile that may potentially include cardiovascular outcome benefits,” Alnylam CEO Yvonne Greenstreet, MBChB, said in the statement.
Intravenously administered patisiran is already approved in the United States and Canada for the treatment of polyneuropathy of hereditary ATTR amyloidosis in adults.
A version of this article first appeared on Medscape.com.
Another day in the ED: Walking the line between empathy and desensitization
Patient after patient, emergency medicine physicians experience highs and lows, sometimes minutes apart. “It might be another Tuesday for us, but for the patient in that dramatic life moment on that day, it’s everything,” said Charissa Pacella, MD, chief of emergency medicine at UPMC Presbyterian in Pittsburgh.
Emergency department (ED) physicians frequently encounter fatal situations, feel frustration when they can’t save a person, and constantly see patients in distress. How do physicians weather the emotional storm of life in the ED with both their mental health and empathy intact?
Reserve time for emotions
Dr. Pacella, who has been practicing emergency medicine for 22 years, also serves in a leadership role for Physicians for Physicians, a confidential peer support program at UPMC for doctors struggling with the impact of adverse events and the stress they face. She said it’s essential to know how to compartmentalize and focus on the task at hand, but later revisit emotions from a personal perspective.
“We all separate our cognitive and leadership roles from our emotional response in the moment,” she said. “Everybody is just focused on doing the next right thing. And often it’s not until sometime later when you sit down or go home or maybe even going in for your next shift that it really hits you in a more emotional way.”
If you try to avoid or skip over this part of the process by shoving the emotions down and ignoring them, Dr. Pacella said, you leave out a crucial part of the care process. And over the course of a career, you’ll risk losing empathy and the human connection that most doctors went into medicine for, she told this news organization.
Connect with your colleagues
Physicians supporting each other is crucial, said Dr Pacella. And luckily, she added, connection tends to be a strength of the specialty.
“As emergency medicine physicians, we share a lot in common, and part of it is what brought us to choose this specialty in the first place. You picked it because there’s something appealing to you about the unknown. It’s a unique role, a unique environment, and a unique relationship you have with patients and being able to connect with colleagues,” she said.
Lisa Williford, MD, emergency medicine specialist at Texas Health Harris Methodist Hospital in Fort Worth, said her 14-year career has taught her that no matter how focused a medical professional can stay in the moment, emotions are happening at some level.
“During a level 1 trauma, there are a lot of people in the room – trauma surgeons, residents, nurses, x-ray techs, respiratory therapy, anesthesia – and every one of us is having emotions. It’s not realistic to think anyone is avoiding it.”
But beyond simply recognizing a shared experience, it’s important to talk to each other. It’s not just about how you’re feeling, but also what you do to help manage that emotional load.
“I’d say that more of us, especially since COVID, are learning that actually getting a therapist is a good thing, having a life coach is a good thing,” said Dr. Williford. Accepting mental health care and learning how to manage it is also a good thing.
Accept unpredictability
You may think you know how a difficult situation will affect you, but that assumption can put you in a vulnerable position. Dr. Pacella said she’s learned that for most physicians, a stress response to a critical incident often has less to do with the type of event and more about who is involved or your past experiences.
“I have reacted in a very emotional way at moments that I would never have expected or predicted,” said Dr. Pacella. “And it’s not always because of some awful event. It’s usually because of some emotional connection or trigger embedded in that encounter.”
For example, she said, you may have had a past case as an emergency physician where the outcome was not favorable, or the patient involved may remind you of yourself or someone you love.
“It might not necessarily be a horrible thing happening to a young, healthy person that triggers someone; it might be a minor problem involving a patient you, for whatever reason, identify with,” she said. “Or you may have had a similar patient where things didn’t go well for them. It’s just highly variable, even for an individual.”
Just as you can’t know what medical issues you’ll face in a day, you can’t predict how you’ll react. Approach each scenario with the knowledge that you may veer off emotional course – and prepare accordingly.
Bring mental wellness to the forefront of training
Dr. Williford, who also serves as regional director for ScribeNest, a doctor-operated company that trains medical scribes who are on the path to becoming medical professionals, said she feels strongly about bringing this conversation to the younger generation.
“For me, nobody at the med school level or residency level taught or talked about how to compartmentalize and cope with the traumatic experiences that we saw,” she said. “Only in the last decade have we started teaching our residents and medical students about burnout and resilience.
“I say things like, ‘Hey, we just witnessed an 18-year-old in cardiac arrest. We did CPR for an hour and didn’t get him back. And then you witnessed me tell his mom, who wailed. And then we turned around and treated an ankle sprain. Let’s sit down and talk about how jarring that all is and how nobody else experiences these things.’
“We have this expectation that our physicians know how to move on and connect with each new patient with care and empathy, but we have to tell our future doctors the actual steps we take to be able to do that.”
Seasoned physicians can lead the way for the next generation and turn the tide toward the normalization of talking about these struggles. By making it part of training, it becomes part of a physician’s skill set.
“With a happy, healthy career, we can pay it forward to the next generation and teach them how to be better than we were,” said Dr. Williford.
A version of this article appeared on Medscape.com.
Patient after patient, emergency medicine physicians experience highs and lows, sometimes minutes apart. “It might be another Tuesday for us, but for the patient in that dramatic life moment on that day, it’s everything,” said Charissa Pacella, MD, chief of emergency medicine at UPMC Presbyterian in Pittsburgh.
Emergency department (ED) physicians frequently encounter fatal situations, feel frustration when they can’t save a person, and constantly see patients in distress. How do physicians weather the emotional storm of life in the ED with both their mental health and empathy intact?
Reserve time for emotions
Dr. Pacella, who has been practicing emergency medicine for 22 years, also serves in a leadership role for Physicians for Physicians, a confidential peer support program at UPMC for doctors struggling with the impact of adverse events and the stress they face. She said it’s essential to know how to compartmentalize and focus on the task at hand, but later revisit emotions from a personal perspective.
“We all separate our cognitive and leadership roles from our emotional response in the moment,” she said. “Everybody is just focused on doing the next right thing. And often it’s not until sometime later when you sit down or go home or maybe even going in for your next shift that it really hits you in a more emotional way.”
If you try to avoid or skip over this part of the process by shoving the emotions down and ignoring them, Dr. Pacella said, you leave out a crucial part of the care process. And over the course of a career, you’ll risk losing empathy and the human connection that most doctors went into medicine for, she told this news organization.
Connect with your colleagues
Physicians supporting each other is crucial, said Dr Pacella. And luckily, she added, connection tends to be a strength of the specialty.
“As emergency medicine physicians, we share a lot in common, and part of it is what brought us to choose this specialty in the first place. You picked it because there’s something appealing to you about the unknown. It’s a unique role, a unique environment, and a unique relationship you have with patients and being able to connect with colleagues,” she said.
Lisa Williford, MD, emergency medicine specialist at Texas Health Harris Methodist Hospital in Fort Worth, said her 14-year career has taught her that no matter how focused a medical professional can stay in the moment, emotions are happening at some level.
“During a level 1 trauma, there are a lot of people in the room – trauma surgeons, residents, nurses, x-ray techs, respiratory therapy, anesthesia – and every one of us is having emotions. It’s not realistic to think anyone is avoiding it.”
But beyond simply recognizing a shared experience, it’s important to talk to each other. It’s not just about how you’re feeling, but also what you do to help manage that emotional load.
“I’d say that more of us, especially since COVID, are learning that actually getting a therapist is a good thing, having a life coach is a good thing,” said Dr. Williford. Accepting mental health care and learning how to manage it is also a good thing.
Accept unpredictability
You may think you know how a difficult situation will affect you, but that assumption can put you in a vulnerable position. Dr. Pacella said she’s learned that for most physicians, a stress response to a critical incident often has less to do with the type of event and more about who is involved or your past experiences.
“I have reacted in a very emotional way at moments that I would never have expected or predicted,” said Dr. Pacella. “And it’s not always because of some awful event. It’s usually because of some emotional connection or trigger embedded in that encounter.”
For example, she said, you may have had a past case as an emergency physician where the outcome was not favorable, or the patient involved may remind you of yourself or someone you love.
“It might not necessarily be a horrible thing happening to a young, healthy person that triggers someone; it might be a minor problem involving a patient you, for whatever reason, identify with,” she said. “Or you may have had a similar patient where things didn’t go well for them. It’s just highly variable, even for an individual.”
Just as you can’t know what medical issues you’ll face in a day, you can’t predict how you’ll react. Approach each scenario with the knowledge that you may veer off emotional course – and prepare accordingly.
Bring mental wellness to the forefront of training
Dr. Williford, who also serves as regional director for ScribeNest, a doctor-operated company that trains medical scribes who are on the path to becoming medical professionals, said she feels strongly about bringing this conversation to the younger generation.
“For me, nobody at the med school level or residency level taught or talked about how to compartmentalize and cope with the traumatic experiences that we saw,” she said. “Only in the last decade have we started teaching our residents and medical students about burnout and resilience.
“I say things like, ‘Hey, we just witnessed an 18-year-old in cardiac arrest. We did CPR for an hour and didn’t get him back. And then you witnessed me tell his mom, who wailed. And then we turned around and treated an ankle sprain. Let’s sit down and talk about how jarring that all is and how nobody else experiences these things.’
“We have this expectation that our physicians know how to move on and connect with each new patient with care and empathy, but we have to tell our future doctors the actual steps we take to be able to do that.”
Seasoned physicians can lead the way for the next generation and turn the tide toward the normalization of talking about these struggles. By making it part of training, it becomes part of a physician’s skill set.
“With a happy, healthy career, we can pay it forward to the next generation and teach them how to be better than we were,” said Dr. Williford.
A version of this article appeared on Medscape.com.
Patient after patient, emergency medicine physicians experience highs and lows, sometimes minutes apart. “It might be another Tuesday for us, but for the patient in that dramatic life moment on that day, it’s everything,” said Charissa Pacella, MD, chief of emergency medicine at UPMC Presbyterian in Pittsburgh.
Emergency department (ED) physicians frequently encounter fatal situations, feel frustration when they can’t save a person, and constantly see patients in distress. How do physicians weather the emotional storm of life in the ED with both their mental health and empathy intact?
Reserve time for emotions
Dr. Pacella, who has been practicing emergency medicine for 22 years, also serves in a leadership role for Physicians for Physicians, a confidential peer support program at UPMC for doctors struggling with the impact of adverse events and the stress they face. She said it’s essential to know how to compartmentalize and focus on the task at hand, but later revisit emotions from a personal perspective.
“We all separate our cognitive and leadership roles from our emotional response in the moment,” she said. “Everybody is just focused on doing the next right thing. And often it’s not until sometime later when you sit down or go home or maybe even going in for your next shift that it really hits you in a more emotional way.”
If you try to avoid or skip over this part of the process by shoving the emotions down and ignoring them, Dr. Pacella said, you leave out a crucial part of the care process. And over the course of a career, you’ll risk losing empathy and the human connection that most doctors went into medicine for, she told this news organization.
Connect with your colleagues
Physicians supporting each other is crucial, said Dr Pacella. And luckily, she added, connection tends to be a strength of the specialty.
“As emergency medicine physicians, we share a lot in common, and part of it is what brought us to choose this specialty in the first place. You picked it because there’s something appealing to you about the unknown. It’s a unique role, a unique environment, and a unique relationship you have with patients and being able to connect with colleagues,” she said.
Lisa Williford, MD, emergency medicine specialist at Texas Health Harris Methodist Hospital in Fort Worth, said her 14-year career has taught her that no matter how focused a medical professional can stay in the moment, emotions are happening at some level.
“During a level 1 trauma, there are a lot of people in the room – trauma surgeons, residents, nurses, x-ray techs, respiratory therapy, anesthesia – and every one of us is having emotions. It’s not realistic to think anyone is avoiding it.”
But beyond simply recognizing a shared experience, it’s important to talk to each other. It’s not just about how you’re feeling, but also what you do to help manage that emotional load.
“I’d say that more of us, especially since COVID, are learning that actually getting a therapist is a good thing, having a life coach is a good thing,” said Dr. Williford. Accepting mental health care and learning how to manage it is also a good thing.
Accept unpredictability
You may think you know how a difficult situation will affect you, but that assumption can put you in a vulnerable position. Dr. Pacella said she’s learned that for most physicians, a stress response to a critical incident often has less to do with the type of event and more about who is involved or your past experiences.
“I have reacted in a very emotional way at moments that I would never have expected or predicted,” said Dr. Pacella. “And it’s not always because of some awful event. It’s usually because of some emotional connection or trigger embedded in that encounter.”
For example, she said, you may have had a past case as an emergency physician where the outcome was not favorable, or the patient involved may remind you of yourself or someone you love.
“It might not necessarily be a horrible thing happening to a young, healthy person that triggers someone; it might be a minor problem involving a patient you, for whatever reason, identify with,” she said. “Or you may have had a similar patient where things didn’t go well for them. It’s just highly variable, even for an individual.”
Just as you can’t know what medical issues you’ll face in a day, you can’t predict how you’ll react. Approach each scenario with the knowledge that you may veer off emotional course – and prepare accordingly.
Bring mental wellness to the forefront of training
Dr. Williford, who also serves as regional director for ScribeNest, a doctor-operated company that trains medical scribes who are on the path to becoming medical professionals, said she feels strongly about bringing this conversation to the younger generation.
“For me, nobody at the med school level or residency level taught or talked about how to compartmentalize and cope with the traumatic experiences that we saw,” she said. “Only in the last decade have we started teaching our residents and medical students about burnout and resilience.
“I say things like, ‘Hey, we just witnessed an 18-year-old in cardiac arrest. We did CPR for an hour and didn’t get him back. And then you witnessed me tell his mom, who wailed. And then we turned around and treated an ankle sprain. Let’s sit down and talk about how jarring that all is and how nobody else experiences these things.’
“We have this expectation that our physicians know how to move on and connect with each new patient with care and empathy, but we have to tell our future doctors the actual steps we take to be able to do that.”
Seasoned physicians can lead the way for the next generation and turn the tide toward the normalization of talking about these struggles. By making it part of training, it becomes part of a physician’s skill set.
“With a happy, healthy career, we can pay it forward to the next generation and teach them how to be better than we were,” said Dr. Williford.
A version of this article appeared on Medscape.com.
Don’t fear POTS: Tips for diagnosis and treatment
This transcript has been edited for clarity.
Michelle L. O’Donoghue, MD, MPH: I’m here in Amsterdam at the European Society of Cardiology (ESC) Congress 2023. Joining me for a great discussion is my friend Dr. Pam Taub, who is a cardiologist and a professor of medicine at UC San Diego. She has a particular interest in postural orthostatic tachycardia syndrome (POTS), so that’s what we’ll be talking about today.
Thanks for joining me, Pam. When we think about POTS, for those who are not familiar with the term, what does it actually mean and how do you diagnose it?
No tilt table required
Pam R. Taub, MD: That’s typically associated with symptoms such as lightheadedness, dizziness, and cognitive difficulties such as brain fog. The diagnosis can be made by tilt-table testing, but it can also be made in the office with simple orthostats.
In my clinic, I have people lie down for 3-5 minutes. At the end of that period, you get a heart rate and blood pressure. Then you have them stand up for 3-5 minutes and then get heart rate and blood pressure, and you look at the differences. If the heart rate goes up by 30 points – so maybe they’re 80 beats/min when they’re lying down and when they stand up, it goes to 110 beats/min – that’s POTS, so very objective criteria. Typically, these people don’t have what we call orthostatic hypotension, where there is a significant decrease in the blood pressure. It’s more a heart rate issue.
Dr. O’Donoghue: How symptomatically do they usually present?
Dr. Taub: It’s a spectrum. Some people have mild symptoms. After they’re in the upright position for maybe 10 minutes, they get symptoms. There are some people who, when they go from a lying to standing position, they’re extremely symptomatic and can’t really do any activities. There are some people that are even wheelchair-bound because the symptoms are so debilitating. There’s a wide spectrum.
Dr. O’Donoghue: There has been more discussion, I feel like, about the rising prevalence of POTS as a diagnosis, and in particular since the COVID pandemic. What’s our understanding of the relationship between COVID and POTS and what the mechanism might be?
Dr. Taub: We’ve known that POTS can be triggered by a viral infection. Before COVID, we knew that in certain individuals that we think have an underlying genetic predisposition, usually some autoimmune substrate, when they get certain types of infections, whether it’s influenza or mononucleosis, they get POTS.
Typically, when they get an infection, they start getting deconditioned. They don’t feel well, so they’re on bed rest. When they get long periods of bed rest, when they start to become active, they start to have overactivation of their sympathetic nervous system, and they have a large amount of cardiovascular deconditioning. It’s a cycle that is often triggered after an infection.
A huge increase of POTS has been seen after COVID-19 because we had so many people exposed to this virus. With COVID-19, there is a period where people don’t feel great and they are getting bed rest, so they’re getting deconditioned. We’ve seen so many patients referred for post-COVID POTS and also long COVID or the post-acute sequelae of COVID-19, where POTS is a part of that presentation.
Female sex and autoimmune conditions
Dr. O’Donoghue: We know that POTS seems to disproportionately affect women. Is that understood? Is it thought that that’s related to the perhaps the autoimmune component of that illness?
Dr. Taub: Yes. The theory is because women tend to have more autoimmune conditions, that’s why they’re more predisposed. There’s a large amount of genetic susceptibility. For instance, we know that there’s an association between POTS and conditions like Ehlers-Danlos syndrome and between POTS and mast cell activation. Some of those conditions are more prevalent in women as well.
Dr. O’Donoghue: I feel like many physicians don’t know how to manage POTS, and they’re actually a little fearful perhaps to take it on. Fortunately, there have been a growing number of POTS clinics with specialists that focus on that area. For the average practitioner who maybe can’t refer to a POTS clinic, how should they approach that?
Dr. Taub: The first thing is its diagnosis. When someone tells you that they have symptoms of orthostatic intolerance – so, activities that involve standing – you need to first have that on your differential diagnosis. You can make the diagnosis in the office with orthostats. You don’t need a tilt table. It’s sometimes helpful if you’re unsure about the diagnosis, but you can make the diagnosis.
Many times, you’re finding people that have very mild symptoms. You can treat that with some good lifestyle recommendations, such as increased hydration, increasing salt in their diet, and compression. And the exercise component is really important.
Many people with POTS are told to go exercise, go for a run, or go for a walk. That’s incorrect, because these people have symptoms when they’re in the upright position. The type of exercise they need to do initially is exercise in the lying or seated position – so exercises like rowing or a seated bike, and strength training. As they start to feel better, then they can do upright exercise.
You should never tell a person that has POTS to just initially start with upright exercise, because they’re going to feel so much worse and then they’re never going to want to exercise. It’s really important to give them the right exercise recommendations. I find that for many of these mild cases, if they do the right exercise and engage in the right lifestyle strategies, they get better.
Compression wear and drug therapy
Dr. O’Donoghue: When it comes to compression stockings, do you usually start with a particular length?
Dr. Taub: It’s interesting. There are many different compression stockings, medical grade. Through patients with POTS, I’ve gotten feedback on certain types of athletic wear that have built-in compression, and that’s a little bit easier for people to wear every day because they can do their errands and it doesn’t look like they’re wearing medical-grade compression stockings.
Basically, I’ve collected all the different recommendations that patients say help, and I give them a list. The medical-grade compression stockings sometimes are very challenging to put on, and sometimes people just need light compression or even just socks. Any kind of compression is going to help.
Dr. O’Donoghue: That’s a great tip, because I know there are many patients who refuse to wear the compression stockings. If there’s a fashionable alternative, that’s always good to reach for.
Dr. Taub: Another thing that patients have told me is that abdominal compression is also very helpful. There are many commercially available abdominal compression options, like shapewear. Many patients with POTS use that and that helps, too.
Dr. O’Donoghue: Good. For those patients with POTS that is refractory to the measures you’ve already discussed, what are the next steps after that?
Dr. Taub: Pharmacotherapy is very synergistic with lifestyle, and there are many different pharmacotherapy options. One of the first things that you want to think about is lowering that heart rate. The reason people feel horrible is because their heart rate is usually very high when they’re upright. If they’re upright for long periods of time and they’re having very high heart rates, they’re going to get really tired because it’s like they’re exercising for hours when they’re upright.
Heart rate lowering is the cornerstone of therapy. Traditionally, we’ve used beta-blockers for heart rate lowering. The problem is they also lower blood pressure. They can also cause fatigue, so not the ideal agent for patients with POTS.
One of the clinical trials that I led was with a drug called ivabradine, which selectively works on the SA node and decreases heart rate without affecting blood pressure. What’s really elegant about ivabradine is it has a more potent effect when the heart rate is higher. When the patient is standing, it’s going to have a more potent effect on heart rate lowering. It’s really well tolerated in patients with POTS. In our study, we showed an improvement in quality of life metrics. That’s one of the first-line drugs that I use for patients with POTS.
The other thing is some of them will also have a concomitant lowering of blood pressure. You can think about medications that increase blood pressure, like midodrine, fludrocortisone, and droxidopa. Sometimes that combination of a heart rate-lowering medication and a medication that increases blood pressure really works well.
Dr. O’Donoghue: That’s very helpful. I think that those kinds of practical tips are the ones that practitioners really want to reach for, because they need to have that algorithm in their mind to take on this condition. Thanks again for walking us through that.
I think it’s a very interesting space, and there’s more that we’re going to be learning over the next few years as we further flesh out these post-COVID cases and what we learn from that as well.
Dr. Taub: There are many clinical trials now starting in POTS, so it’s exciting.
Dr. O’Donoghue: Absolutely. Thank you again for joining me today. Signing off, this is Dr Michelle O’Donoghue.
Dr. O’Donoghue is a cardiologist at Brigham and Women’s Hospital and senior investigator with the TIMI Study Group. A strong believer in evidence-based medicine, she relishes discussions about the published literature. A native Canadian, Dr. O’Donoghue loves spending time outdoors with her family but admits with shame that she’s never strapped on hockey skates. She disclosed ties with Amgen, AstraZeneca Pharmaceuticals LP, CVS Minute Clinic, Eisai, GlaxoSmithKline, Janssen Pharmaceuticals, Merck, Novartis, and The Medicines Company. Dr. Taub is professor of Medicine, University of California San Diego Health, La Jolla. She disclosed ties with Amgen, Bayer, Boehringer Ingelheim, Medtronic, Merck, Novartis, Novo Nordisk, and Sanofi.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
Michelle L. O’Donoghue, MD, MPH: I’m here in Amsterdam at the European Society of Cardiology (ESC) Congress 2023. Joining me for a great discussion is my friend Dr. Pam Taub, who is a cardiologist and a professor of medicine at UC San Diego. She has a particular interest in postural orthostatic tachycardia syndrome (POTS), so that’s what we’ll be talking about today.
Thanks for joining me, Pam. When we think about POTS, for those who are not familiar with the term, what does it actually mean and how do you diagnose it?
No tilt table required
Pam R. Taub, MD: That’s typically associated with symptoms such as lightheadedness, dizziness, and cognitive difficulties such as brain fog. The diagnosis can be made by tilt-table testing, but it can also be made in the office with simple orthostats.
In my clinic, I have people lie down for 3-5 minutes. At the end of that period, you get a heart rate and blood pressure. Then you have them stand up for 3-5 minutes and then get heart rate and blood pressure, and you look at the differences. If the heart rate goes up by 30 points – so maybe they’re 80 beats/min when they’re lying down and when they stand up, it goes to 110 beats/min – that’s POTS, so very objective criteria. Typically, these people don’t have what we call orthostatic hypotension, where there is a significant decrease in the blood pressure. It’s more a heart rate issue.
Dr. O’Donoghue: How symptomatically do they usually present?
Dr. Taub: It’s a spectrum. Some people have mild symptoms. After they’re in the upright position for maybe 10 minutes, they get symptoms. There are some people who, when they go from a lying to standing position, they’re extremely symptomatic and can’t really do any activities. There are some people that are even wheelchair-bound because the symptoms are so debilitating. There’s a wide spectrum.
Dr. O’Donoghue: There has been more discussion, I feel like, about the rising prevalence of POTS as a diagnosis, and in particular since the COVID pandemic. What’s our understanding of the relationship between COVID and POTS and what the mechanism might be?
Dr. Taub: We’ve known that POTS can be triggered by a viral infection. Before COVID, we knew that in certain individuals that we think have an underlying genetic predisposition, usually some autoimmune substrate, when they get certain types of infections, whether it’s influenza or mononucleosis, they get POTS.
Typically, when they get an infection, they start getting deconditioned. They don’t feel well, so they’re on bed rest. When they get long periods of bed rest, when they start to become active, they start to have overactivation of their sympathetic nervous system, and they have a large amount of cardiovascular deconditioning. It’s a cycle that is often triggered after an infection.
A huge increase of POTS has been seen after COVID-19 because we had so many people exposed to this virus. With COVID-19, there is a period where people don’t feel great and they are getting bed rest, so they’re getting deconditioned. We’ve seen so many patients referred for post-COVID POTS and also long COVID or the post-acute sequelae of COVID-19, where POTS is a part of that presentation.
Female sex and autoimmune conditions
Dr. O’Donoghue: We know that POTS seems to disproportionately affect women. Is that understood? Is it thought that that’s related to the perhaps the autoimmune component of that illness?
Dr. Taub: Yes. The theory is because women tend to have more autoimmune conditions, that’s why they’re more predisposed. There’s a large amount of genetic susceptibility. For instance, we know that there’s an association between POTS and conditions like Ehlers-Danlos syndrome and between POTS and mast cell activation. Some of those conditions are more prevalent in women as well.
Dr. O’Donoghue: I feel like many physicians don’t know how to manage POTS, and they’re actually a little fearful perhaps to take it on. Fortunately, there have been a growing number of POTS clinics with specialists that focus on that area. For the average practitioner who maybe can’t refer to a POTS clinic, how should they approach that?
Dr. Taub: The first thing is its diagnosis. When someone tells you that they have symptoms of orthostatic intolerance – so, activities that involve standing – you need to first have that on your differential diagnosis. You can make the diagnosis in the office with orthostats. You don’t need a tilt table. It’s sometimes helpful if you’re unsure about the diagnosis, but you can make the diagnosis.
Many times, you’re finding people that have very mild symptoms. You can treat that with some good lifestyle recommendations, such as increased hydration, increasing salt in their diet, and compression. And the exercise component is really important.
Many people with POTS are told to go exercise, go for a run, or go for a walk. That’s incorrect, because these people have symptoms when they’re in the upright position. The type of exercise they need to do initially is exercise in the lying or seated position – so exercises like rowing or a seated bike, and strength training. As they start to feel better, then they can do upright exercise.
You should never tell a person that has POTS to just initially start with upright exercise, because they’re going to feel so much worse and then they’re never going to want to exercise. It’s really important to give them the right exercise recommendations. I find that for many of these mild cases, if they do the right exercise and engage in the right lifestyle strategies, they get better.
Compression wear and drug therapy
Dr. O’Donoghue: When it comes to compression stockings, do you usually start with a particular length?
Dr. Taub: It’s interesting. There are many different compression stockings, medical grade. Through patients with POTS, I’ve gotten feedback on certain types of athletic wear that have built-in compression, and that’s a little bit easier for people to wear every day because they can do their errands and it doesn’t look like they’re wearing medical-grade compression stockings.
Basically, I’ve collected all the different recommendations that patients say help, and I give them a list. The medical-grade compression stockings sometimes are very challenging to put on, and sometimes people just need light compression or even just socks. Any kind of compression is going to help.
Dr. O’Donoghue: That’s a great tip, because I know there are many patients who refuse to wear the compression stockings. If there’s a fashionable alternative, that’s always good to reach for.
Dr. Taub: Another thing that patients have told me is that abdominal compression is also very helpful. There are many commercially available abdominal compression options, like shapewear. Many patients with POTS use that and that helps, too.
Dr. O’Donoghue: Good. For those patients with POTS that is refractory to the measures you’ve already discussed, what are the next steps after that?
Dr. Taub: Pharmacotherapy is very synergistic with lifestyle, and there are many different pharmacotherapy options. One of the first things that you want to think about is lowering that heart rate. The reason people feel horrible is because their heart rate is usually very high when they’re upright. If they’re upright for long periods of time and they’re having very high heart rates, they’re going to get really tired because it’s like they’re exercising for hours when they’re upright.
Heart rate lowering is the cornerstone of therapy. Traditionally, we’ve used beta-blockers for heart rate lowering. The problem is they also lower blood pressure. They can also cause fatigue, so not the ideal agent for patients with POTS.
One of the clinical trials that I led was with a drug called ivabradine, which selectively works on the SA node and decreases heart rate without affecting blood pressure. What’s really elegant about ivabradine is it has a more potent effect when the heart rate is higher. When the patient is standing, it’s going to have a more potent effect on heart rate lowering. It’s really well tolerated in patients with POTS. In our study, we showed an improvement in quality of life metrics. That’s one of the first-line drugs that I use for patients with POTS.
The other thing is some of them will also have a concomitant lowering of blood pressure. You can think about medications that increase blood pressure, like midodrine, fludrocortisone, and droxidopa. Sometimes that combination of a heart rate-lowering medication and a medication that increases blood pressure really works well.
Dr. O’Donoghue: That’s very helpful. I think that those kinds of practical tips are the ones that practitioners really want to reach for, because they need to have that algorithm in their mind to take on this condition. Thanks again for walking us through that.
I think it’s a very interesting space, and there’s more that we’re going to be learning over the next few years as we further flesh out these post-COVID cases and what we learn from that as well.
Dr. Taub: There are many clinical trials now starting in POTS, so it’s exciting.
Dr. O’Donoghue: Absolutely. Thank you again for joining me today. Signing off, this is Dr Michelle O’Donoghue.
Dr. O’Donoghue is a cardiologist at Brigham and Women’s Hospital and senior investigator with the TIMI Study Group. A strong believer in evidence-based medicine, she relishes discussions about the published literature. A native Canadian, Dr. O’Donoghue loves spending time outdoors with her family but admits with shame that she’s never strapped on hockey skates. She disclosed ties with Amgen, AstraZeneca Pharmaceuticals LP, CVS Minute Clinic, Eisai, GlaxoSmithKline, Janssen Pharmaceuticals, Merck, Novartis, and The Medicines Company. Dr. Taub is professor of Medicine, University of California San Diego Health, La Jolla. She disclosed ties with Amgen, Bayer, Boehringer Ingelheim, Medtronic, Merck, Novartis, Novo Nordisk, and Sanofi.
A version of this article appeared on Medscape.com.
This transcript has been edited for clarity.
Michelle L. O’Donoghue, MD, MPH: I’m here in Amsterdam at the European Society of Cardiology (ESC) Congress 2023. Joining me for a great discussion is my friend Dr. Pam Taub, who is a cardiologist and a professor of medicine at UC San Diego. She has a particular interest in postural orthostatic tachycardia syndrome (POTS), so that’s what we’ll be talking about today.
Thanks for joining me, Pam. When we think about POTS, for those who are not familiar with the term, what does it actually mean and how do you diagnose it?
No tilt table required
Pam R. Taub, MD: That’s typically associated with symptoms such as lightheadedness, dizziness, and cognitive difficulties such as brain fog. The diagnosis can be made by tilt-table testing, but it can also be made in the office with simple orthostats.
In my clinic, I have people lie down for 3-5 minutes. At the end of that period, you get a heart rate and blood pressure. Then you have them stand up for 3-5 minutes and then get heart rate and blood pressure, and you look at the differences. If the heart rate goes up by 30 points – so maybe they’re 80 beats/min when they’re lying down and when they stand up, it goes to 110 beats/min – that’s POTS, so very objective criteria. Typically, these people don’t have what we call orthostatic hypotension, where there is a significant decrease in the blood pressure. It’s more a heart rate issue.
Dr. O’Donoghue: How symptomatically do they usually present?
Dr. Taub: It’s a spectrum. Some people have mild symptoms. After they’re in the upright position for maybe 10 minutes, they get symptoms. There are some people who, when they go from a lying to standing position, they’re extremely symptomatic and can’t really do any activities. There are some people that are even wheelchair-bound because the symptoms are so debilitating. There’s a wide spectrum.
Dr. O’Donoghue: There has been more discussion, I feel like, about the rising prevalence of POTS as a diagnosis, and in particular since the COVID pandemic. What’s our understanding of the relationship between COVID and POTS and what the mechanism might be?
Dr. Taub: We’ve known that POTS can be triggered by a viral infection. Before COVID, we knew that in certain individuals that we think have an underlying genetic predisposition, usually some autoimmune substrate, when they get certain types of infections, whether it’s influenza or mononucleosis, they get POTS.
Typically, when they get an infection, they start getting deconditioned. They don’t feel well, so they’re on bed rest. When they get long periods of bed rest, when they start to become active, they start to have overactivation of their sympathetic nervous system, and they have a large amount of cardiovascular deconditioning. It’s a cycle that is often triggered after an infection.
A huge increase of POTS has been seen after COVID-19 because we had so many people exposed to this virus. With COVID-19, there is a period where people don’t feel great and they are getting bed rest, so they’re getting deconditioned. We’ve seen so many patients referred for post-COVID POTS and also long COVID or the post-acute sequelae of COVID-19, where POTS is a part of that presentation.
Female sex and autoimmune conditions
Dr. O’Donoghue: We know that POTS seems to disproportionately affect women. Is that understood? Is it thought that that’s related to the perhaps the autoimmune component of that illness?
Dr. Taub: Yes. The theory is because women tend to have more autoimmune conditions, that’s why they’re more predisposed. There’s a large amount of genetic susceptibility. For instance, we know that there’s an association between POTS and conditions like Ehlers-Danlos syndrome and between POTS and mast cell activation. Some of those conditions are more prevalent in women as well.
Dr. O’Donoghue: I feel like many physicians don’t know how to manage POTS, and they’re actually a little fearful perhaps to take it on. Fortunately, there have been a growing number of POTS clinics with specialists that focus on that area. For the average practitioner who maybe can’t refer to a POTS clinic, how should they approach that?
Dr. Taub: The first thing is its diagnosis. When someone tells you that they have symptoms of orthostatic intolerance – so, activities that involve standing – you need to first have that on your differential diagnosis. You can make the diagnosis in the office with orthostats. You don’t need a tilt table. It’s sometimes helpful if you’re unsure about the diagnosis, but you can make the diagnosis.
Many times, you’re finding people that have very mild symptoms. You can treat that with some good lifestyle recommendations, such as increased hydration, increasing salt in their diet, and compression. And the exercise component is really important.
Many people with POTS are told to go exercise, go for a run, or go for a walk. That’s incorrect, because these people have symptoms when they’re in the upright position. The type of exercise they need to do initially is exercise in the lying or seated position – so exercises like rowing or a seated bike, and strength training. As they start to feel better, then they can do upright exercise.
You should never tell a person that has POTS to just initially start with upright exercise, because they’re going to feel so much worse and then they’re never going to want to exercise. It’s really important to give them the right exercise recommendations. I find that for many of these mild cases, if they do the right exercise and engage in the right lifestyle strategies, they get better.
Compression wear and drug therapy
Dr. O’Donoghue: When it comes to compression stockings, do you usually start with a particular length?
Dr. Taub: It’s interesting. There are many different compression stockings, medical grade. Through patients with POTS, I’ve gotten feedback on certain types of athletic wear that have built-in compression, and that’s a little bit easier for people to wear every day because they can do their errands and it doesn’t look like they’re wearing medical-grade compression stockings.
Basically, I’ve collected all the different recommendations that patients say help, and I give them a list. The medical-grade compression stockings sometimes are very challenging to put on, and sometimes people just need light compression or even just socks. Any kind of compression is going to help.
Dr. O’Donoghue: That’s a great tip, because I know there are many patients who refuse to wear the compression stockings. If there’s a fashionable alternative, that’s always good to reach for.
Dr. Taub: Another thing that patients have told me is that abdominal compression is also very helpful. There are many commercially available abdominal compression options, like shapewear. Many patients with POTS use that and that helps, too.
Dr. O’Donoghue: Good. For those patients with POTS that is refractory to the measures you’ve already discussed, what are the next steps after that?
Dr. Taub: Pharmacotherapy is very synergistic with lifestyle, and there are many different pharmacotherapy options. One of the first things that you want to think about is lowering that heart rate. The reason people feel horrible is because their heart rate is usually very high when they’re upright. If they’re upright for long periods of time and they’re having very high heart rates, they’re going to get really tired because it’s like they’re exercising for hours when they’re upright.
Heart rate lowering is the cornerstone of therapy. Traditionally, we’ve used beta-blockers for heart rate lowering. The problem is they also lower blood pressure. They can also cause fatigue, so not the ideal agent for patients with POTS.
One of the clinical trials that I led was with a drug called ivabradine, which selectively works on the SA node and decreases heart rate without affecting blood pressure. What’s really elegant about ivabradine is it has a more potent effect when the heart rate is higher. When the patient is standing, it’s going to have a more potent effect on heart rate lowering. It’s really well tolerated in patients with POTS. In our study, we showed an improvement in quality of life metrics. That’s one of the first-line drugs that I use for patients with POTS.
The other thing is some of them will also have a concomitant lowering of blood pressure. You can think about medications that increase blood pressure, like midodrine, fludrocortisone, and droxidopa. Sometimes that combination of a heart rate-lowering medication and a medication that increases blood pressure really works well.
Dr. O’Donoghue: That’s very helpful. I think that those kinds of practical tips are the ones that practitioners really want to reach for, because they need to have that algorithm in their mind to take on this condition. Thanks again for walking us through that.
I think it’s a very interesting space, and there’s more that we’re going to be learning over the next few years as we further flesh out these post-COVID cases and what we learn from that as well.
Dr. Taub: There are many clinical trials now starting in POTS, so it’s exciting.
Dr. O’Donoghue: Absolutely. Thank you again for joining me today. Signing off, this is Dr Michelle O’Donoghue.
Dr. O’Donoghue is a cardiologist at Brigham and Women’s Hospital and senior investigator with the TIMI Study Group. A strong believer in evidence-based medicine, she relishes discussions about the published literature. A native Canadian, Dr. O’Donoghue loves spending time outdoors with her family but admits with shame that she’s never strapped on hockey skates. She disclosed ties with Amgen, AstraZeneca Pharmaceuticals LP, CVS Minute Clinic, Eisai, GlaxoSmithKline, Janssen Pharmaceuticals, Merck, Novartis, and The Medicines Company. Dr. Taub is professor of Medicine, University of California San Diego Health, La Jolla. She disclosed ties with Amgen, Bayer, Boehringer Ingelheim, Medtronic, Merck, Novartis, Novo Nordisk, and Sanofi.
A version of this article appeared on Medscape.com.
Lead pollutants as harmful to health as particulate matter
in a presentation to the World Bank. Their work was published in The Lancet Planetary Health.
As Mr. Larsen and Mr. Sánchez-Triana report, the economic consequences of increased exposure to lead are already immense, especially in low- and middle-income countries (LMICs). The study was financed by the Korea Green Growth Trust Fund and the World Bank’s Pollution Management and Environmental Health Program.
Intellectual, cardiovascular effects
“It is a very important publication that affects all of us,” pediatrician Stephan Böse-O’Reilly, MD, of the Institute and Polyclinic for Occupational, Social, and Environmental Health at Ludwig Maximilian University Hospital in Munich, Germany, said in an interview. “The study, the results of which I think are very reliable, shows that elevated levels of lead in the blood have a much more drastic effect on children’s intelligence than we previously thought.”
It is well known that lead affects the antenatal and postnatal cognitive development of children, Dr. Böse-O’Reilly explained. But the extent of this effect has quite clearly been underestimated before now.
On the other hand, Mr. Larsen and Mr. Sánchez-Triana’s work could prove that lead may lead to more cardiovascular diseases in adulthood. “We already knew that increased exposure to lead increased the risk of high blood pressure and, as a result, mortality,” said Dr. Böse-O’Reilly. “This study now very clearly shows that the risk of arteriosclerosis, for example, also increases through lead exposure.”
Figures from 2019
“For the first time, to our knowledge, we aimed to estimate the global burden and cost of IQ loss and cardiovascular disease mortality from lead exposure,” wrote Mr. Larsen and Mr. Sánchez-Triana. For their calculations, the scientists used blood lead level estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019.
They estimated IQ loss in children younger than 5 years using the internationally recognized blood lead level–IQ loss function. The researchers subsequently estimated the cost of this IQ loss based on the loss in lifetime income, presented as cost in U.S. dollars and percentage of gross domestic product (GDP).
Mr. Larsen and Mr. Sánchez-Triana estimated cardiovascular deaths caused by lead exposure in adults aged 25 years or older using a model that captures the effects of lead exposure on cardiovascular disease mortality that is mediated through mechanisms other than hypertension.
Finally, they used the statistical life expectancy to estimate the welfare cost of premature mortality, also presented as cost in U.S. dollars and percentage of GDP. All estimates were calculated according to the World Bank income classification for 2019.
Millions of deaths
As reported by Mr. Larsen and Mr. Sánchez-Triana, children younger than 5 years lost an estimated 765 million IQ points worldwide because of lead exposure in this period. In 2019, 5,545,000 adults died from cardiovascular diseases caused by lead exposure. The scientists recorded 729 million of the IQ points lost (95.3%) and 5,004,000 (90.2%) of the deaths as occurring in LMICs.
The IQ loss here was nearly 80% higher than a previous estimate, wrote Mr. Larsen and Mr. Sánchez-Triana. The number of cardiovascular disease deaths they determined was six times higher than the GBD 2019 estimate.
“These are results with which the expert societies, especially the German Society of Pediatrics and Adolescent Medicine and the German Cardiac Society, and the corresponding professional associations need to concern themselves,” said Dr. Böse-O’Reilly.
Although blood lead concentrations have declined substantially since the phase-out of leaded gasoline, especially in Western countries, lead still represents a major health issue because it stays in the bones for decades.
European situation moderate
“We need a broad discussion on questions such as whether lead levels should be included in prophylactic assessments in certain age groups, what blood level is even tolerable, and in what situation medicinal therapy with chelating agents would possibly be appropriate,” said Dr. Böse-O’Reilly.
“Of course, we cannot answer these questions on the basis of one individual study,” he added. “However, the work in question definitely illustrates how dangerous lead can be and that we need further research into the actual burden and the best preventive measures.”
In this respect, the situation in Europe is still comparatively moderate. “Globally, lead exposure has risen in recent years,” said Dr. Böse-O’Reilly. According to an investigation by the Planet Earth Foundation, outside of the European Union, lead can increasingly be found in toys, spices, and cooking utensils, for example.
“Especially in lower-income countries, there is a lack of consumer protection or a good monitoring program like we have here in the EU,” said Dr. Böse-O’Reilly. In these countries, lead is sometimes added to spices by unscrupulous retailers to make the color more intense or to simply add to its weight to gain more profit.
Recycling lead-acid batteries or other electrical waste, often transferred to poorer countries, constitutes a large problem. “In general, children in Germany have a blood lead level of less than 1 mcg/dL,” explained Dr. Böse-O’Reilly. “In some regions of Indonesia, where these recycling factories are located, more than 50% of children have levels of more than 20 mcg/dL.”
Particulate matter
According to Mr. Larsen and Mr. Sánchez-Triana, the global cost of increased lead exposure was around $6 trillion USD in 2019, which was equivalent to 6.9% of global GDP. About 77% of the cost ($4.62 trillion USD) comprised the welfare costs of cardiovascular disease mortality, and 23% ($1.38 trillion USD) comprised the present value of future income losses because of IQ loss in children.
“Our findings suggest that global lead exposure has health and economic costs on par with PM2.5 air pollution,” wrote the authors. This places lead as an environmental risk factor on par with particulate matter and above that of air pollution from solid fuels, ahead of unsafe drinking water, unhygienic sanitation, or insufficient handwashing.
“This finding is in contrast to that of GBD 2019, which ranked lead exposure as a distant fourth environmental risk factor, due to not accounting for IQ loss in children – other than idiopathic developmental intellectual disability in a small subset of children – and reporting a substantially lower estimate of adult cardiovascular disease mortality,” wrote Mr. Larsen and Mr. Sánchez-Triana.
“A central implication for future research and policy is that LMICs bear an extraordinarily large share of the health and cost burden of lead exposure,” wrote the authors. Consequently, improved quality of blood lead level measurements and identification of sources containing lead are urgently needed there.
Improved recycling methods
Dr. Böse-O’Reilly would like an increased focus on children. “If children’s cognitive skills are lost, this of course has a long-term effect on a country’s economic position,” he said. “Precisely that which LMICs actually need for their development is being stripped from them.
“We should think long and hard about whether we really need to send so much of our electrical waste and so many old cars to poorer countries, where they are incorrectly recycled,” he warned. “We should at least give the LMICs the support necessary for them to be able to process lead-containing products in the future so that less lead makes it into the environment.
“Through these global cycles, we all contribute a lot toward the worldwide lead burden,” Dr. Böse-O’Reilly said. “In my opinion, the German Supply Chain Act is therefore definitely sensible. Not only does it protect our own economy, but it also protects the health of people in other countries.”
This article was translated from Medscape’s German Edition. A version of this article appeared on Medscape.com.
in a presentation to the World Bank. Their work was published in The Lancet Planetary Health.
As Mr. Larsen and Mr. Sánchez-Triana report, the economic consequences of increased exposure to lead are already immense, especially in low- and middle-income countries (LMICs). The study was financed by the Korea Green Growth Trust Fund and the World Bank’s Pollution Management and Environmental Health Program.
Intellectual, cardiovascular effects
“It is a very important publication that affects all of us,” pediatrician Stephan Böse-O’Reilly, MD, of the Institute and Polyclinic for Occupational, Social, and Environmental Health at Ludwig Maximilian University Hospital in Munich, Germany, said in an interview. “The study, the results of which I think are very reliable, shows that elevated levels of lead in the blood have a much more drastic effect on children’s intelligence than we previously thought.”
It is well known that lead affects the antenatal and postnatal cognitive development of children, Dr. Böse-O’Reilly explained. But the extent of this effect has quite clearly been underestimated before now.
On the other hand, Mr. Larsen and Mr. Sánchez-Triana’s work could prove that lead may lead to more cardiovascular diseases in adulthood. “We already knew that increased exposure to lead increased the risk of high blood pressure and, as a result, mortality,” said Dr. Böse-O’Reilly. “This study now very clearly shows that the risk of arteriosclerosis, for example, also increases through lead exposure.”
Figures from 2019
“For the first time, to our knowledge, we aimed to estimate the global burden and cost of IQ loss and cardiovascular disease mortality from lead exposure,” wrote Mr. Larsen and Mr. Sánchez-Triana. For their calculations, the scientists used blood lead level estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019.
They estimated IQ loss in children younger than 5 years using the internationally recognized blood lead level–IQ loss function. The researchers subsequently estimated the cost of this IQ loss based on the loss in lifetime income, presented as cost in U.S. dollars and percentage of gross domestic product (GDP).
Mr. Larsen and Mr. Sánchez-Triana estimated cardiovascular deaths caused by lead exposure in adults aged 25 years or older using a model that captures the effects of lead exposure on cardiovascular disease mortality that is mediated through mechanisms other than hypertension.
Finally, they used the statistical life expectancy to estimate the welfare cost of premature mortality, also presented as cost in U.S. dollars and percentage of GDP. All estimates were calculated according to the World Bank income classification for 2019.
Millions of deaths
As reported by Mr. Larsen and Mr. Sánchez-Triana, children younger than 5 years lost an estimated 765 million IQ points worldwide because of lead exposure in this period. In 2019, 5,545,000 adults died from cardiovascular diseases caused by lead exposure. The scientists recorded 729 million of the IQ points lost (95.3%) and 5,004,000 (90.2%) of the deaths as occurring in LMICs.
The IQ loss here was nearly 80% higher than a previous estimate, wrote Mr. Larsen and Mr. Sánchez-Triana. The number of cardiovascular disease deaths they determined was six times higher than the GBD 2019 estimate.
“These are results with which the expert societies, especially the German Society of Pediatrics and Adolescent Medicine and the German Cardiac Society, and the corresponding professional associations need to concern themselves,” said Dr. Böse-O’Reilly.
Although blood lead concentrations have declined substantially since the phase-out of leaded gasoline, especially in Western countries, lead still represents a major health issue because it stays in the bones for decades.
European situation moderate
“We need a broad discussion on questions such as whether lead levels should be included in prophylactic assessments in certain age groups, what blood level is even tolerable, and in what situation medicinal therapy with chelating agents would possibly be appropriate,” said Dr. Böse-O’Reilly.
“Of course, we cannot answer these questions on the basis of one individual study,” he added. “However, the work in question definitely illustrates how dangerous lead can be and that we need further research into the actual burden and the best preventive measures.”
In this respect, the situation in Europe is still comparatively moderate. “Globally, lead exposure has risen in recent years,” said Dr. Böse-O’Reilly. According to an investigation by the Planet Earth Foundation, outside of the European Union, lead can increasingly be found in toys, spices, and cooking utensils, for example.
“Especially in lower-income countries, there is a lack of consumer protection or a good monitoring program like we have here in the EU,” said Dr. Böse-O’Reilly. In these countries, lead is sometimes added to spices by unscrupulous retailers to make the color more intense or to simply add to its weight to gain more profit.
Recycling lead-acid batteries or other electrical waste, often transferred to poorer countries, constitutes a large problem. “In general, children in Germany have a blood lead level of less than 1 mcg/dL,” explained Dr. Böse-O’Reilly. “In some regions of Indonesia, where these recycling factories are located, more than 50% of children have levels of more than 20 mcg/dL.”
Particulate matter
According to Mr. Larsen and Mr. Sánchez-Triana, the global cost of increased lead exposure was around $6 trillion USD in 2019, which was equivalent to 6.9% of global GDP. About 77% of the cost ($4.62 trillion USD) comprised the welfare costs of cardiovascular disease mortality, and 23% ($1.38 trillion USD) comprised the present value of future income losses because of IQ loss in children.
“Our findings suggest that global lead exposure has health and economic costs on par with PM2.5 air pollution,” wrote the authors. This places lead as an environmental risk factor on par with particulate matter and above that of air pollution from solid fuels, ahead of unsafe drinking water, unhygienic sanitation, or insufficient handwashing.
“This finding is in contrast to that of GBD 2019, which ranked lead exposure as a distant fourth environmental risk factor, due to not accounting for IQ loss in children – other than idiopathic developmental intellectual disability in a small subset of children – and reporting a substantially lower estimate of adult cardiovascular disease mortality,” wrote Mr. Larsen and Mr. Sánchez-Triana.
“A central implication for future research and policy is that LMICs bear an extraordinarily large share of the health and cost burden of lead exposure,” wrote the authors. Consequently, improved quality of blood lead level measurements and identification of sources containing lead are urgently needed there.
Improved recycling methods
Dr. Böse-O’Reilly would like an increased focus on children. “If children’s cognitive skills are lost, this of course has a long-term effect on a country’s economic position,” he said. “Precisely that which LMICs actually need for their development is being stripped from them.
“We should think long and hard about whether we really need to send so much of our electrical waste and so many old cars to poorer countries, where they are incorrectly recycled,” he warned. “We should at least give the LMICs the support necessary for them to be able to process lead-containing products in the future so that less lead makes it into the environment.
“Through these global cycles, we all contribute a lot toward the worldwide lead burden,” Dr. Böse-O’Reilly said. “In my opinion, the German Supply Chain Act is therefore definitely sensible. Not only does it protect our own economy, but it also protects the health of people in other countries.”
This article was translated from Medscape’s German Edition. A version of this article appeared on Medscape.com.
in a presentation to the World Bank. Their work was published in The Lancet Planetary Health.
As Mr. Larsen and Mr. Sánchez-Triana report, the economic consequences of increased exposure to lead are already immense, especially in low- and middle-income countries (LMICs). The study was financed by the Korea Green Growth Trust Fund and the World Bank’s Pollution Management and Environmental Health Program.
Intellectual, cardiovascular effects
“It is a very important publication that affects all of us,” pediatrician Stephan Böse-O’Reilly, MD, of the Institute and Polyclinic for Occupational, Social, and Environmental Health at Ludwig Maximilian University Hospital in Munich, Germany, said in an interview. “The study, the results of which I think are very reliable, shows that elevated levels of lead in the blood have a much more drastic effect on children’s intelligence than we previously thought.”
It is well known that lead affects the antenatal and postnatal cognitive development of children, Dr. Böse-O’Reilly explained. But the extent of this effect has quite clearly been underestimated before now.
On the other hand, Mr. Larsen and Mr. Sánchez-Triana’s work could prove that lead may lead to more cardiovascular diseases in adulthood. “We already knew that increased exposure to lead increased the risk of high blood pressure and, as a result, mortality,” said Dr. Böse-O’Reilly. “This study now very clearly shows that the risk of arteriosclerosis, for example, also increases through lead exposure.”
Figures from 2019
“For the first time, to our knowledge, we aimed to estimate the global burden and cost of IQ loss and cardiovascular disease mortality from lead exposure,” wrote Mr. Larsen and Mr. Sánchez-Triana. For their calculations, the scientists used blood lead level estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019.
They estimated IQ loss in children younger than 5 years using the internationally recognized blood lead level–IQ loss function. The researchers subsequently estimated the cost of this IQ loss based on the loss in lifetime income, presented as cost in U.S. dollars and percentage of gross domestic product (GDP).
Mr. Larsen and Mr. Sánchez-Triana estimated cardiovascular deaths caused by lead exposure in adults aged 25 years or older using a model that captures the effects of lead exposure on cardiovascular disease mortality that is mediated through mechanisms other than hypertension.
Finally, they used the statistical life expectancy to estimate the welfare cost of premature mortality, also presented as cost in U.S. dollars and percentage of GDP. All estimates were calculated according to the World Bank income classification for 2019.
Millions of deaths
As reported by Mr. Larsen and Mr. Sánchez-Triana, children younger than 5 years lost an estimated 765 million IQ points worldwide because of lead exposure in this period. In 2019, 5,545,000 adults died from cardiovascular diseases caused by lead exposure. The scientists recorded 729 million of the IQ points lost (95.3%) and 5,004,000 (90.2%) of the deaths as occurring in LMICs.
The IQ loss here was nearly 80% higher than a previous estimate, wrote Mr. Larsen and Mr. Sánchez-Triana. The number of cardiovascular disease deaths they determined was six times higher than the GBD 2019 estimate.
“These are results with which the expert societies, especially the German Society of Pediatrics and Adolescent Medicine and the German Cardiac Society, and the corresponding professional associations need to concern themselves,” said Dr. Böse-O’Reilly.
Although blood lead concentrations have declined substantially since the phase-out of leaded gasoline, especially in Western countries, lead still represents a major health issue because it stays in the bones for decades.
European situation moderate
“We need a broad discussion on questions such as whether lead levels should be included in prophylactic assessments in certain age groups, what blood level is even tolerable, and in what situation medicinal therapy with chelating agents would possibly be appropriate,” said Dr. Böse-O’Reilly.
“Of course, we cannot answer these questions on the basis of one individual study,” he added. “However, the work in question definitely illustrates how dangerous lead can be and that we need further research into the actual burden and the best preventive measures.”
In this respect, the situation in Europe is still comparatively moderate. “Globally, lead exposure has risen in recent years,” said Dr. Böse-O’Reilly. According to an investigation by the Planet Earth Foundation, outside of the European Union, lead can increasingly be found in toys, spices, and cooking utensils, for example.
“Especially in lower-income countries, there is a lack of consumer protection or a good monitoring program like we have here in the EU,” said Dr. Böse-O’Reilly. In these countries, lead is sometimes added to spices by unscrupulous retailers to make the color more intense or to simply add to its weight to gain more profit.
Recycling lead-acid batteries or other electrical waste, often transferred to poorer countries, constitutes a large problem. “In general, children in Germany have a blood lead level of less than 1 mcg/dL,” explained Dr. Böse-O’Reilly. “In some regions of Indonesia, where these recycling factories are located, more than 50% of children have levels of more than 20 mcg/dL.”
Particulate matter
According to Mr. Larsen and Mr. Sánchez-Triana, the global cost of increased lead exposure was around $6 trillion USD in 2019, which was equivalent to 6.9% of global GDP. About 77% of the cost ($4.62 trillion USD) comprised the welfare costs of cardiovascular disease mortality, and 23% ($1.38 trillion USD) comprised the present value of future income losses because of IQ loss in children.
“Our findings suggest that global lead exposure has health and economic costs on par with PM2.5 air pollution,” wrote the authors. This places lead as an environmental risk factor on par with particulate matter and above that of air pollution from solid fuels, ahead of unsafe drinking water, unhygienic sanitation, or insufficient handwashing.
“This finding is in contrast to that of GBD 2019, which ranked lead exposure as a distant fourth environmental risk factor, due to not accounting for IQ loss in children – other than idiopathic developmental intellectual disability in a small subset of children – and reporting a substantially lower estimate of adult cardiovascular disease mortality,” wrote Mr. Larsen and Mr. Sánchez-Triana.
“A central implication for future research and policy is that LMICs bear an extraordinarily large share of the health and cost burden of lead exposure,” wrote the authors. Consequently, improved quality of blood lead level measurements and identification of sources containing lead are urgently needed there.
Improved recycling methods
Dr. Böse-O’Reilly would like an increased focus on children. “If children’s cognitive skills are lost, this of course has a long-term effect on a country’s economic position,” he said. “Precisely that which LMICs actually need for their development is being stripped from them.
“We should think long and hard about whether we really need to send so much of our electrical waste and so many old cars to poorer countries, where they are incorrectly recycled,” he warned. “We should at least give the LMICs the support necessary for them to be able to process lead-containing products in the future so that less lead makes it into the environment.
“Through these global cycles, we all contribute a lot toward the worldwide lead burden,” Dr. Böse-O’Reilly said. “In my opinion, the German Supply Chain Act is therefore definitely sensible. Not only does it protect our own economy, but it also protects the health of people in other countries.”
This article was translated from Medscape’s German Edition. A version of this article appeared on Medscape.com.
FROM THE LANCET PLANETARY HEALTH
Syracuse Hemoglobinopathy Presenting With Tophaceous Gout: A Case Report
Hemoglobinopathies are inherited disorders of hemoglobin that alter oxygen binding capacity by affecting the production of a specific subset of globin chains or their structure.1 A lesser-known subtype, Syracuse hemoglobinopathy (SH), was first identified in 4 generations of a family in the 1970s.2 As with other disorders of hemoglobin structure, there is an inherent risk of increased cell breakdown and turnover. This case discusses the presentation of gout in a patient with a history of SH.
Case presentation
A 44-year-old man with known SH, tobacco use disorder, and shoulder osteoarthritis presented with pain and palpable nodular masses on bilateral elbows, metacarpophalangeal joints, and feet progressively over 5 years. Of note, he was initially misdiagnosed with polycythemia vera after an incidental finding of elevated hematocrit more than 10 years prior. His mother, maternal aunt, and maternal grandmother have all been treated for polycythemia vera.
On examination, there were irregular palpable masses of varying sizes, erythema, and tenderness over the second metacarpophalangeal joint of the left hand, bilateral elbows, and bilateral metatarsophalangeal joints. Laboratory studies were remarkable for 19.8 g/dL hemoglobin (reference range, 12.0-16.0 g/dL); 63.4% hematocrit (reference range, 37.0%-47.0%); 219 × 103 µL platelets (reference range, 150-450 × 103 µL); 79.3 fL mean corpuscular volume (reference range, 81.0-99.0 fL); 14 mg/dL blood urea nitrogen (reference range, 8-27 mg/dL); 1.18 mg/dL creatinine (reference range, 0.60-1.60 mg/dL); 3 mmol/h erythrocyte sedimentation rate (reference range, 0-30 mmol/h); 88 IU/L alkaline phosphatase (reference range, 34-130 IU/L); and 11.3 mg/dL uric acid (reference range, 2.4-7.9 mg/dL). Hemoglobin electrophoresis studies showed a 49% hemoglobin A1 (reference range, 95%-98%); 3.0% hemoglobin A2 (reference range, 2%-3%); 3.1% hemoglobin F (reference range, < 0.6%); and 44.9% hemoglobin Syracuse (reference range, absent). It was negative for JAK2 V617F mutation. An X-ray of the bilateral feet showed irregularity/erosion involving the medial border of the great toe metatarsal head, joint effusions, and sclerotic margins (Figure 1). A prominent plantar calcaneal spur was present (Figure 2). Synovial fluid analysis detected the presence of negatively birefringent needle-shaped urate crystals.
Per the Clinical Gout Diagnosis tool, which has a sensitivity of 97%, this patient scored high given the findings of greater than one attack of acute arthritis, mono/oligoarthritic attacks, podagra, erythema, probable tophi, and hyperuricemia. This raised the likelihood of his presentation being an acute flare of tophaceous gout.3 He was treated with colchicine and prednisone for acute exacerbation. Once the exacerbation subsided, the colchicine was discontinued, and allopurinol was added. The uric acid goal was < 6 mg/dL and was consistently maintained. Over the subsequent months, he reported mild joint pain if he stopped taking allopurinol but did not report a recurrence in disease exacerbation.
Discussion
Hemoglobin Syracuse was first identified in the early 1970s after the discovery of similar familial hemoglobinopathies unique for their high oxygen affinity hemoglobin.1 High oxygen affinity hemoglobin functions by causing a leftward shift in the hemoglobin dissociation curve and therefore slower off-loading of oxygen into tissues.4 The hypoxic state at the tissue level created by the hemoglobin binding tightly to oxygen promotes the production of erythropoietin, increasing red blood cell and hemoglobin production.5 A study looking at uric acid levels in patients living at high altitudes (which can imitate the low-oxygen state seen in high affinity hemoglobinopathy) theorized that increased erythroblast turnover in the setting of polycythemia involves increased purine metabolism and consequently, uric acid as a breakdown product.6 Uric acid levels have also been used as a marker for hypoxia in studies regarding sleep apnea. Tissue hypoxia can increase adenosine triphosphate breakdown. One byproduct of this breakdown is hypoxanthine, which is further metabolized by xanthine oxidase, which, in turn, produces uric acid.7
The relationship between elevated uric acid and gout was first studied in the mid-nineteenth century after Alfred Barring Garrod identified urate deposits in the articular cartilage of patients with gout.1 These urate deposits garner a proinflammatory response with the activation of the complement cascade, resulting in the recruitment of neutrophils, macrophages, and lymphocytes. Recurrent gout flares eventually result in a chronic granulomatous inflammatory response to the deposited crystals resulting in the classic tophi.8 A study looking at patients with thalassemia showed that while elevated serum uric acid levels were common in these patients, only 6% developed gout. Significant risk factors were noted to be intact spleen and inefficient urinary excretion of urea due to chronic kidney disease.9
Current treatment of gout flares consistsof pain control in the acute phase and prevention in the long-term setting. The first-line treatment for acute gout attack is colchicine, prednisone, or nonsteroidal anti-inflammatory drugs. Clinicians can consider switching or combining these therapies if ineffective or in the event of severe exacerbation. Prophylactic therapy involves urate-lowering agents, such as allopurinol and febuxostat.10
Conclusions
This case illustrates how a rare disorder of high oxygen affinity hemoglobin, SH, can present itself with findings of elevated serum uric acid and tophaceous gout. Most patients with hyperuricemia never develop gout, but having a condition that increases their serum levels of uric acid can increase their chances.11 It is important for clinicians to consider this increased risk when a patient with hemoglobinopathy presents with joint pain.
1. Garrod AB. The Nature and Treatment of Gout and Rheumatic Gout. 2nd ed. Walton and Maberly; 1859.
2. Jensen M, Oski FA, Nathan DG, Bunn HF. Hemoglobin Syracuse (alpha2beta2-143(H21)His leads to Pro), a new high-affinity variant detected by special electrophoretic methods. Observations on the auto-oxidation of normal and variant hemoglobins. J Clin Invest. 1975;55(3):469-477. doi:10.1172/JCI107953
3. Vázquez-Mellado J, Hernández-Cuevas CB, Alvarez-Hernández E, et al. The diagnostic value of the proposal for clinical gout diagnosis (CGD). Clin Rheumatol. 2012;31(3):429-434. doi:10.1007/s10067-011-1873-4
4. Kaufman DP, Kandle PF, Murray IV, et al. Physiology, Oxyhemoglobin Dissociation Curve. [Updated 2023 Jul 31]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK499818/
5. Yudin J, Verhovsek M. How we diagnose and manage altered oxygen affinity hemoglobin variants. Am J Hematol. 2019;94(5):597-603. doi:10.1002/ajh.25425
6. Jefferson JA, Escudero E, Hurtado ME, et al. Hyperuricemia, hypertension, and proteinuria associated with high-altitude polycythemia. Am J Kidney Dis. 2002;39(6):1135-1142. doi:10.1053/ajkd.2002.33380
7. Hirotsu C, Tufik S, Guindalini C, Mazzotti DR, Bittencourt LR, Andersen ML. Association between uric acid levels and obstructive sleep apnea syndrome in a large epidemiological sample. PLoS One. 2013;8(6):e66891. Published 2013 Jun 24. doi:10.1371/journal.pone.0066891
8. Dalbeth N, Phipps-Green A, Frampton C, Neogi T, Taylor WJ, Merriman TR. Relationship between serum urate concentration and clinically evident incident gout: an individual participant data analysis. Ann Rheum Dis. 2018;77(7):1048-1052. doi:10.1136/annrheumdis-2017-212288
9. Ballou SP, Khan MA, Kushner I, Harris JW. Secondary gout in hemoglobinopathies: report of two cases and review of the literature. Am J Hematol. 1977;2(4):397-402. doi:10.1002/ajh.2830020410
10. Khanna D, Khanna PP, Fitzgerald JD, et al. 2012 American College of Rheumatology guidelines for management of gout. Part 2: therapy and antiinflammatory prophylaxis of acute gouty arthritis. Arthritis Care Res (Hoboken). 2012;64(10):1447-1461. doi:10.1002/acr.21773
11. Dalbeth N, Choi HK, Joosten LAB, et al. Gout. Nat Rev Dis Primers. 2019;5(1):69. Published 2019 Sep 26. doi:10.1038/s41572-019-0115-y
Hemoglobinopathies are inherited disorders of hemoglobin that alter oxygen binding capacity by affecting the production of a specific subset of globin chains or their structure.1 A lesser-known subtype, Syracuse hemoglobinopathy (SH), was first identified in 4 generations of a family in the 1970s.2 As with other disorders of hemoglobin structure, there is an inherent risk of increased cell breakdown and turnover. This case discusses the presentation of gout in a patient with a history of SH.
Case presentation
A 44-year-old man with known SH, tobacco use disorder, and shoulder osteoarthritis presented with pain and palpable nodular masses on bilateral elbows, metacarpophalangeal joints, and feet progressively over 5 years. Of note, he was initially misdiagnosed with polycythemia vera after an incidental finding of elevated hematocrit more than 10 years prior. His mother, maternal aunt, and maternal grandmother have all been treated for polycythemia vera.
On examination, there were irregular palpable masses of varying sizes, erythema, and tenderness over the second metacarpophalangeal joint of the left hand, bilateral elbows, and bilateral metatarsophalangeal joints. Laboratory studies were remarkable for 19.8 g/dL hemoglobin (reference range, 12.0-16.0 g/dL); 63.4% hematocrit (reference range, 37.0%-47.0%); 219 × 103 µL platelets (reference range, 150-450 × 103 µL); 79.3 fL mean corpuscular volume (reference range, 81.0-99.0 fL); 14 mg/dL blood urea nitrogen (reference range, 8-27 mg/dL); 1.18 mg/dL creatinine (reference range, 0.60-1.60 mg/dL); 3 mmol/h erythrocyte sedimentation rate (reference range, 0-30 mmol/h); 88 IU/L alkaline phosphatase (reference range, 34-130 IU/L); and 11.3 mg/dL uric acid (reference range, 2.4-7.9 mg/dL). Hemoglobin electrophoresis studies showed a 49% hemoglobin A1 (reference range, 95%-98%); 3.0% hemoglobin A2 (reference range, 2%-3%); 3.1% hemoglobin F (reference range, < 0.6%); and 44.9% hemoglobin Syracuse (reference range, absent). It was negative for JAK2 V617F mutation. An X-ray of the bilateral feet showed irregularity/erosion involving the medial border of the great toe metatarsal head, joint effusions, and sclerotic margins (Figure 1). A prominent plantar calcaneal spur was present (Figure 2). Synovial fluid analysis detected the presence of negatively birefringent needle-shaped urate crystals.
Per the Clinical Gout Diagnosis tool, which has a sensitivity of 97%, this patient scored high given the findings of greater than one attack of acute arthritis, mono/oligoarthritic attacks, podagra, erythema, probable tophi, and hyperuricemia. This raised the likelihood of his presentation being an acute flare of tophaceous gout.3 He was treated with colchicine and prednisone for acute exacerbation. Once the exacerbation subsided, the colchicine was discontinued, and allopurinol was added. The uric acid goal was < 6 mg/dL and was consistently maintained. Over the subsequent months, he reported mild joint pain if he stopped taking allopurinol but did not report a recurrence in disease exacerbation.
Discussion
Hemoglobin Syracuse was first identified in the early 1970s after the discovery of similar familial hemoglobinopathies unique for their high oxygen affinity hemoglobin.1 High oxygen affinity hemoglobin functions by causing a leftward shift in the hemoglobin dissociation curve and therefore slower off-loading of oxygen into tissues.4 The hypoxic state at the tissue level created by the hemoglobin binding tightly to oxygen promotes the production of erythropoietin, increasing red blood cell and hemoglobin production.5 A study looking at uric acid levels in patients living at high altitudes (which can imitate the low-oxygen state seen in high affinity hemoglobinopathy) theorized that increased erythroblast turnover in the setting of polycythemia involves increased purine metabolism and consequently, uric acid as a breakdown product.6 Uric acid levels have also been used as a marker for hypoxia in studies regarding sleep apnea. Tissue hypoxia can increase adenosine triphosphate breakdown. One byproduct of this breakdown is hypoxanthine, which is further metabolized by xanthine oxidase, which, in turn, produces uric acid.7
The relationship between elevated uric acid and gout was first studied in the mid-nineteenth century after Alfred Barring Garrod identified urate deposits in the articular cartilage of patients with gout.1 These urate deposits garner a proinflammatory response with the activation of the complement cascade, resulting in the recruitment of neutrophils, macrophages, and lymphocytes. Recurrent gout flares eventually result in a chronic granulomatous inflammatory response to the deposited crystals resulting in the classic tophi.8 A study looking at patients with thalassemia showed that while elevated serum uric acid levels were common in these patients, only 6% developed gout. Significant risk factors were noted to be intact spleen and inefficient urinary excretion of urea due to chronic kidney disease.9
Current treatment of gout flares consistsof pain control in the acute phase and prevention in the long-term setting. The first-line treatment for acute gout attack is colchicine, prednisone, or nonsteroidal anti-inflammatory drugs. Clinicians can consider switching or combining these therapies if ineffective or in the event of severe exacerbation. Prophylactic therapy involves urate-lowering agents, such as allopurinol and febuxostat.10
Conclusions
This case illustrates how a rare disorder of high oxygen affinity hemoglobin, SH, can present itself with findings of elevated serum uric acid and tophaceous gout. Most patients with hyperuricemia never develop gout, but having a condition that increases their serum levels of uric acid can increase their chances.11 It is important for clinicians to consider this increased risk when a patient with hemoglobinopathy presents with joint pain.
Hemoglobinopathies are inherited disorders of hemoglobin that alter oxygen binding capacity by affecting the production of a specific subset of globin chains or their structure.1 A lesser-known subtype, Syracuse hemoglobinopathy (SH), was first identified in 4 generations of a family in the 1970s.2 As with other disorders of hemoglobin structure, there is an inherent risk of increased cell breakdown and turnover. This case discusses the presentation of gout in a patient with a history of SH.
Case presentation
A 44-year-old man with known SH, tobacco use disorder, and shoulder osteoarthritis presented with pain and palpable nodular masses on bilateral elbows, metacarpophalangeal joints, and feet progressively over 5 years. Of note, he was initially misdiagnosed with polycythemia vera after an incidental finding of elevated hematocrit more than 10 years prior. His mother, maternal aunt, and maternal grandmother have all been treated for polycythemia vera.
On examination, there were irregular palpable masses of varying sizes, erythema, and tenderness over the second metacarpophalangeal joint of the left hand, bilateral elbows, and bilateral metatarsophalangeal joints. Laboratory studies were remarkable for 19.8 g/dL hemoglobin (reference range, 12.0-16.0 g/dL); 63.4% hematocrit (reference range, 37.0%-47.0%); 219 × 103 µL platelets (reference range, 150-450 × 103 µL); 79.3 fL mean corpuscular volume (reference range, 81.0-99.0 fL); 14 mg/dL blood urea nitrogen (reference range, 8-27 mg/dL); 1.18 mg/dL creatinine (reference range, 0.60-1.60 mg/dL); 3 mmol/h erythrocyte sedimentation rate (reference range, 0-30 mmol/h); 88 IU/L alkaline phosphatase (reference range, 34-130 IU/L); and 11.3 mg/dL uric acid (reference range, 2.4-7.9 mg/dL). Hemoglobin electrophoresis studies showed a 49% hemoglobin A1 (reference range, 95%-98%); 3.0% hemoglobin A2 (reference range, 2%-3%); 3.1% hemoglobin F (reference range, < 0.6%); and 44.9% hemoglobin Syracuse (reference range, absent). It was negative for JAK2 V617F mutation. An X-ray of the bilateral feet showed irregularity/erosion involving the medial border of the great toe metatarsal head, joint effusions, and sclerotic margins (Figure 1). A prominent plantar calcaneal spur was present (Figure 2). Synovial fluid analysis detected the presence of negatively birefringent needle-shaped urate crystals.
Per the Clinical Gout Diagnosis tool, which has a sensitivity of 97%, this patient scored high given the findings of greater than one attack of acute arthritis, mono/oligoarthritic attacks, podagra, erythema, probable tophi, and hyperuricemia. This raised the likelihood of his presentation being an acute flare of tophaceous gout.3 He was treated with colchicine and prednisone for acute exacerbation. Once the exacerbation subsided, the colchicine was discontinued, and allopurinol was added. The uric acid goal was < 6 mg/dL and was consistently maintained. Over the subsequent months, he reported mild joint pain if he stopped taking allopurinol but did not report a recurrence in disease exacerbation.
Discussion
Hemoglobin Syracuse was first identified in the early 1970s after the discovery of similar familial hemoglobinopathies unique for their high oxygen affinity hemoglobin.1 High oxygen affinity hemoglobin functions by causing a leftward shift in the hemoglobin dissociation curve and therefore slower off-loading of oxygen into tissues.4 The hypoxic state at the tissue level created by the hemoglobin binding tightly to oxygen promotes the production of erythropoietin, increasing red blood cell and hemoglobin production.5 A study looking at uric acid levels in patients living at high altitudes (which can imitate the low-oxygen state seen in high affinity hemoglobinopathy) theorized that increased erythroblast turnover in the setting of polycythemia involves increased purine metabolism and consequently, uric acid as a breakdown product.6 Uric acid levels have also been used as a marker for hypoxia in studies regarding sleep apnea. Tissue hypoxia can increase adenosine triphosphate breakdown. One byproduct of this breakdown is hypoxanthine, which is further metabolized by xanthine oxidase, which, in turn, produces uric acid.7
The relationship between elevated uric acid and gout was first studied in the mid-nineteenth century after Alfred Barring Garrod identified urate deposits in the articular cartilage of patients with gout.1 These urate deposits garner a proinflammatory response with the activation of the complement cascade, resulting in the recruitment of neutrophils, macrophages, and lymphocytes. Recurrent gout flares eventually result in a chronic granulomatous inflammatory response to the deposited crystals resulting in the classic tophi.8 A study looking at patients with thalassemia showed that while elevated serum uric acid levels were common in these patients, only 6% developed gout. Significant risk factors were noted to be intact spleen and inefficient urinary excretion of urea due to chronic kidney disease.9
Current treatment of gout flares consistsof pain control in the acute phase and prevention in the long-term setting. The first-line treatment for acute gout attack is colchicine, prednisone, or nonsteroidal anti-inflammatory drugs. Clinicians can consider switching or combining these therapies if ineffective or in the event of severe exacerbation. Prophylactic therapy involves urate-lowering agents, such as allopurinol and febuxostat.10
Conclusions
This case illustrates how a rare disorder of high oxygen affinity hemoglobin, SH, can present itself with findings of elevated serum uric acid and tophaceous gout. Most patients with hyperuricemia never develop gout, but having a condition that increases their serum levels of uric acid can increase their chances.11 It is important for clinicians to consider this increased risk when a patient with hemoglobinopathy presents with joint pain.
1. Garrod AB. The Nature and Treatment of Gout and Rheumatic Gout. 2nd ed. Walton and Maberly; 1859.
2. Jensen M, Oski FA, Nathan DG, Bunn HF. Hemoglobin Syracuse (alpha2beta2-143(H21)His leads to Pro), a new high-affinity variant detected by special electrophoretic methods. Observations on the auto-oxidation of normal and variant hemoglobins. J Clin Invest. 1975;55(3):469-477. doi:10.1172/JCI107953
3. Vázquez-Mellado J, Hernández-Cuevas CB, Alvarez-Hernández E, et al. The diagnostic value of the proposal for clinical gout diagnosis (CGD). Clin Rheumatol. 2012;31(3):429-434. doi:10.1007/s10067-011-1873-4
4. Kaufman DP, Kandle PF, Murray IV, et al. Physiology, Oxyhemoglobin Dissociation Curve. [Updated 2023 Jul 31]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK499818/
5. Yudin J, Verhovsek M. How we diagnose and manage altered oxygen affinity hemoglobin variants. Am J Hematol. 2019;94(5):597-603. doi:10.1002/ajh.25425
6. Jefferson JA, Escudero E, Hurtado ME, et al. Hyperuricemia, hypertension, and proteinuria associated with high-altitude polycythemia. Am J Kidney Dis. 2002;39(6):1135-1142. doi:10.1053/ajkd.2002.33380
7. Hirotsu C, Tufik S, Guindalini C, Mazzotti DR, Bittencourt LR, Andersen ML. Association between uric acid levels and obstructive sleep apnea syndrome in a large epidemiological sample. PLoS One. 2013;8(6):e66891. Published 2013 Jun 24. doi:10.1371/journal.pone.0066891
8. Dalbeth N, Phipps-Green A, Frampton C, Neogi T, Taylor WJ, Merriman TR. Relationship between serum urate concentration and clinically evident incident gout: an individual participant data analysis. Ann Rheum Dis. 2018;77(7):1048-1052. doi:10.1136/annrheumdis-2017-212288
9. Ballou SP, Khan MA, Kushner I, Harris JW. Secondary gout in hemoglobinopathies: report of two cases and review of the literature. Am J Hematol. 1977;2(4):397-402. doi:10.1002/ajh.2830020410
10. Khanna D, Khanna PP, Fitzgerald JD, et al. 2012 American College of Rheumatology guidelines for management of gout. Part 2: therapy and antiinflammatory prophylaxis of acute gouty arthritis. Arthritis Care Res (Hoboken). 2012;64(10):1447-1461. doi:10.1002/acr.21773
11. Dalbeth N, Choi HK, Joosten LAB, et al. Gout. Nat Rev Dis Primers. 2019;5(1):69. Published 2019 Sep 26. doi:10.1038/s41572-019-0115-y
1. Garrod AB. The Nature and Treatment of Gout and Rheumatic Gout. 2nd ed. Walton and Maberly; 1859.
2. Jensen M, Oski FA, Nathan DG, Bunn HF. Hemoglobin Syracuse (alpha2beta2-143(H21)His leads to Pro), a new high-affinity variant detected by special electrophoretic methods. Observations on the auto-oxidation of normal and variant hemoglobins. J Clin Invest. 1975;55(3):469-477. doi:10.1172/JCI107953
3. Vázquez-Mellado J, Hernández-Cuevas CB, Alvarez-Hernández E, et al. The diagnostic value of the proposal for clinical gout diagnosis (CGD). Clin Rheumatol. 2012;31(3):429-434. doi:10.1007/s10067-011-1873-4
4. Kaufman DP, Kandle PF, Murray IV, et al. Physiology, Oxyhemoglobin Dissociation Curve. [Updated 2023 Jul 31]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK499818/
5. Yudin J, Verhovsek M. How we diagnose and manage altered oxygen affinity hemoglobin variants. Am J Hematol. 2019;94(5):597-603. doi:10.1002/ajh.25425
6. Jefferson JA, Escudero E, Hurtado ME, et al. Hyperuricemia, hypertension, and proteinuria associated with high-altitude polycythemia. Am J Kidney Dis. 2002;39(6):1135-1142. doi:10.1053/ajkd.2002.33380
7. Hirotsu C, Tufik S, Guindalini C, Mazzotti DR, Bittencourt LR, Andersen ML. Association between uric acid levels and obstructive sleep apnea syndrome in a large epidemiological sample. PLoS One. 2013;8(6):e66891. Published 2013 Jun 24. doi:10.1371/journal.pone.0066891
8. Dalbeth N, Phipps-Green A, Frampton C, Neogi T, Taylor WJ, Merriman TR. Relationship between serum urate concentration and clinically evident incident gout: an individual participant data analysis. Ann Rheum Dis. 2018;77(7):1048-1052. doi:10.1136/annrheumdis-2017-212288
9. Ballou SP, Khan MA, Kushner I, Harris JW. Secondary gout in hemoglobinopathies: report of two cases and review of the literature. Am J Hematol. 1977;2(4):397-402. doi:10.1002/ajh.2830020410
10. Khanna D, Khanna PP, Fitzgerald JD, et al. 2012 American College of Rheumatology guidelines for management of gout. Part 2: therapy and antiinflammatory prophylaxis of acute gouty arthritis. Arthritis Care Res (Hoboken). 2012;64(10):1447-1461. doi:10.1002/acr.21773
11. Dalbeth N, Choi HK, Joosten LAB, et al. Gout. Nat Rev Dis Primers. 2019;5(1):69. Published 2019 Sep 26. doi:10.1038/s41572-019-0115-y
Are Text Pages an Effective Nudge to Increase Attendance at Internal Medicine Morning Report Conferences? A Cluster Randomized Controlled Trial
Regularly scheduled educational conferences, such as case-based morning reports, have been a standard part of internal medicine residencies for decades.1-4 In addition to better patient care from the knowledge gained at educational conferences, attendance by interns and residents (collectively called house staff) may be associated with higher in-service examination scores.5 Unfortunately, competing priorities, including patient care and trainee supervision, may contribute to an action-intention gap among house staff that reduces attendance.6-8 Low attendance at morning reports represents wasted effort and lost educational opportunities; therefore, strategies to increase attendance are needed. Of several methods studied, more resource-intensive interventions (eg, providing food) were the most successful.6,9-12
Using the behavioral economics framework of nudge strategies, we hypothesized that a less intensive intervention of a daily reminder text page would encourage medical students, interns, and residents (collectively called learners) to attend the morning report conference.8,13 However, given the high cognitive load created by frequent task switching, a reminder text page could disrupt workflow and patient care without promoting the intended behavior change.14-17 Because of this uncertainty, our objective was to determine whether a preconference text page increased learner attendance at morning report conferences.
Methods
This study was a single-center, multiple-crossover cluster randomized controlled trial conducted at the Veteran Affairs Boston Healthcare System (VABHS) in Massachusetts. Study participants included house staff rotating on daytime inpatient rotations from 4 residency programs and students from 2 medical schools. The setting was the morning report, an in-person, interactive, case-based conference held Monday through Thursday, from 8:00
Learners assigned to rotate on the inpatient medicine, cardiology, medicine consultation, and patient safety rotations were eligible to attend these conferences and for inclusion in the study. Learners rotating in the medical intensive care unit, on night float, or on day float (an admitting shift for which residents are not on-site until late afternoon) were excluded. Additional details of the study population are available in the supplement (eAppendix). The study period was originally planned for September 30, 2019, to March 31, 2020, but data collection was stopped on March 12, 2020, due to the COVID-19 pandemic and suspension of in-person conferences. We chose the study period, which determined our sample size, to exclude the first 3 months of the academic year (July-September) because during that time learners acclimate to the inpatient workflow. We also chose not to include the last 3 months of the academic year to provide time for data analysis and preparation of the manuscript within the academic year.
Intervention and Outcome Assessment
Each intervention and control period was 3 weeks long; the first period was randomly determined by coin flip and alternated thereafter. Additional details of randomization are available in the supplement (Appendix 1). During intervention periods, all house staff received a page at 7:55
A daily facesheet (a roster of house staff names and photos) was used to identify learners for conference attendance. This facesheet was already used for other purposes at VABHS. At 8:00
During control periods, no text page reminder of upcoming conferences was sent, but the attendance of total learners at 8:00
Statistical Analysis
The primary outcome was the proportion of eligible learners present at 8:10
To estimate the primary outcome, we modeled the risk difference adjusted for covariates using a generalized estimating equation accounting for the clustering of attendance behavior within individuals and controlling for date and team. Secondary outcomes were estimated similarly. To evaluate the robustness of the primary outcome, we performed a sensitivity analysis using a multilevel generalized linear model with clustering by individual learner and team. Additional details on our statistical analysis plan, including accessing our raw data and analysis code, are available in Appendices 2 and 3. Categorical variables were compared using the χ2 or Fisher exact test. Continuous variables were compared using the t test or Wilcoxon rank-sum tests. All P values were 2-sided, and a significance level of ≤ .05 was considered statistically significant. Analysis was performed in Stata v16.1. Our study was deemed exempt by the VABHS Institutional Review Board, and this article was prepared following the CONSORT reporting guidelines. The trial protocol has been registered with the International Standard Randomized Controlled Trial Number registry
Results
Over the study period, 329 unique learners rotated on inpatient medical services at the VABHS and 211 were eligible to attend 85 morning report conferences and 22 Jeopardy conferences (Figure). Outcomes data were available for 100% of eligible participants. Forty-seven (55%) of the morning report conferences occurred during the intervention period (Table 1).
Morning report attendance observed at 8:10
On-time attendance was lower than at 8:10
To estimate the impact of rotating on teams with lighter clinical workloads on the association between receipt of a reminder page and conference attendance, we repeated our primary analysis with a test of interaction between team assignment and the intervention, which was not significant (P = .90). To estimate the impact of morning workload on the association between receipt of a reminder page and conference attendance, we performed a subgroup analysis limited to learners rotating on teams eligible to receive overnight admissions and included the number of overnight admissions as a covariate in our regression model. A test of interaction between the intervention and the number of overnight admissions on conference attendance was not significant (P = .73).
In a subgroup analysis limited to learners on teams eligible to receive overnight admissions and controlling for the number of overnight admissions (a proxy for morning workload), no significant interaction between the intervention and admissions was observed. We also assessed for interaction between learner type and receipt of a reminder page on conference attendance and found no evidence of such an effect.
Discussion
Among a diverse population of learners from multiple academic institutions rotating at a single, large, urban VA medical center, a nudge strategy of sending a reminder text page before morning report conferences was associated with a 4.0% absolute increase in attendance measured 10 minutes after the conference started compared with not sending a reminder page. Overall, only one-quarter of learners attended the morning report at the start at 8:00
We designed our analysis to overcome several limitations of prior studies on the effect of reminder text pages on conference attendance. First, to account for differences in conference attendance behavior of individual learners, we used a generalized estimating equation model that allowed clustering of outcomes by individual. Second, we controlled for the date to account for secular trends in conference attendance over the academic year. Finally, we controlled for the team to account for the possibility that the conference attendance behavior of one learner on a team influences the behavior of other learners on the same team.
We also evaluated the effect of a reminder page on attendance at a weekly Jeopardy conference. Interestingly, reminder pages seemed to increase on-time Jeopardy attendance, although this effect was no longer statistically significant at 8:10
We also assessed the interaction between sending a reminder page and learner type and its effect on conference attendance and found no evidence to support such an effect. Because medical students do not receive reminder pages, their conference attendance behavior can be thought of as indicative of clustering within teams. Though there was no evidence of a significant interaction, given the small number of students, our study may be underpowered to find a benefit for this group.
The results of this study differ from Smith and colleagues, who found that reminder pages had no overall effect on conference attendance for fellows; however, no sample size justification was provided in that study, making it difficult to evaluate the likelihood of a false-negative finding.7 Our study differs in several ways: the timing of the reminder page (5 minutes vs 30 minutes prior to the conference), the method by which attendance was recorded (by an independent observer vs learner sign-in), and the time that attendance was recorded (2 prespecified times vs continuously). As far as we know, our study is the first to evaluate the nudge effect of reminder text pages on internal medicine resident attendance at conferences, with attendance taken by an observer.
Limitations
This study has some limitations. First, it was conducted at a single VA medical center. An additional limitation was our decision to classify learners who arrived after 8:10
Unfortunately, due to the COVID-19 pandemic and the suspension of in-person conferences, our study ended earlier than anticipated. This resulted in an imbalance of morning report conferences that occurred during each period: 55% during the intervention period, and 45% during the control period. However, because we accounted for the clustering of conference attendance behavior within individuals in our model, this imbalance is unlikely to introduce bias in our estimation of the effect of the intervention.
Another limitation relates to the evolving landscape of educational conferences in the postpandemic era.18 Whether our results can be generalized to increase virtual conference attendance is unknown. Finally, it is not clear whether a 4% absolute increase in conference attendance is educationally meaningful or justifies the effort of sending a reminder page.
Conclusions
In this cluster randomized controlled trial conducted at a single VA medical center, reminder pages sent 5 minutes before the start of morning report conferences resulted in a 4% increase in conference attendance. Our results suggest that reminder pages are one strategy that may result in a small increase in conference attendance, but whether this small increase is educationally significant will vary across training programs applying this strategy.
Acknowledgments
The authors are indebted to Kenneth J. Mukamal and Katharine A. Robb, who provided invaluable guidance in data analysis. Todd Reese assisted in data organization and presentation of data, and Mark Tuttle designed the facesheet. None of these individuals received compensation for their assistance.
1. Daniels VJ, Goldstein CE. Changing morning report: an educational intervention to address curricular needs. J Biomed Educ. 2014;2014:1-5. doi:10.1155/2014/830701
2. Parrino TA, Villanueva AG. The principles and practice of morning report. JAMA. 1986;256(6):730-733. doi:10.1001/jama.1986.03380060056025
3. Wenger NS, Shpiner RB. An analysis of morning report: implications for internal medicine education. Ann Intern Med. 1993;119(5):395-399. doi:10.7326/0003-4819-119-5-199309010-00008
4. Ways M, Kroenke K, Umali J, Buchwald D. Morning report. A survey of resident attitudes. Arch Intern Med. 1995;155(13):1433-1437. doi:10.1001/archinte.155.13.1433
5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83(4):449-453. doi:10.4065/83.4.449
6. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores? Acad Med. 2003;78(1):84-89. doi:10.1097/00001888-200301000-00015
7. Smith J, Zaffiri L, Clary J, Davis T, Bosslet GT. The effect of paging reminders on fellowship conference attendance: a multi-program randomized crossover study. J Grad Med Educ. 2016;8(3):372-377. doi:10.4300/JGME-D-15-00487.1
8. Sheeran P, Webb TL. The intention-behavior gap. Soc Personal Psychol Compass. 2016;10(9):503-518. doi:10.1111/spc3.12265
9. McDonald RJ, Luetmer PH, Kallmes DF. If you starve them, will they still come? Do complementary food provisions affect faculty meeting attendance in academic radiology? J Am Coll Radiol. 2011;8(11):809-810. doi:10.1016/j.jacr.2011.06.003
10. Segovis CM, Mueller PS, Rethlefsen ML, et al. If you feed them, they will come: a prospective study of the effects of complimentary food on attendance and physician attitudes at medical grand rounds at an academic medical center. BMC Med Educ. 2007;7:22. Published 2007 Jul 12. doi:10.1186/1472-6920-7-22
11. Mueller PS, Litin SC, Sowden ML, Habermann TM, LaRusso NF. Strategies for improving attendance at medical grand rounds at an academic medical center. Mayo Clin Proc. 2003;78(5):549-553. doi:10.4065/78.5.549
12. Tarabichi S, DeLeon M, Krumrei N, Hanna J, Maloney Patel N. Competition as a means for improving academic scores and attendance at education conference. J Surg Educ. 2018;75(6):1437-1440. doi:10.1016/j.jsurg.2018.04.020
13. Thaler RH, Sunstein CR. Nudge: Improving Decisions About Health, Wealth, and Happiness. Rev. and Expanded Ed. Penguin Books; 2009.
14. Weijers RJ, de Koning BB, Paas F. Nudging in education: from theory towards guidelines for successful implementation. Eur J Psychol Educ. 2021;36:883-902. Published 2020 Aug 24. doi:10.1007/s10212-020-00495-0
15. Wieland ML, Loertscher LL, Nelson DR, Szostek JH, Ficalora RD. A strategy to reduce interruptions at hospital morning report. J Grad Med Educ. 2010;2(1):83-84. doi:10.4300/JGME-D-09-00084.1
16. Witherspoon L, Nham E, Abdi H, et al. Is it time to rethink how we page physicians? Understanding paging patterns in a tertiary care hospital. BMC Health Serv Res. 2019;19(1):992. Published 2019 Dec 23. doi:10.1186/s12913-019-4844-0
17. Fargen KM, O’Connor T, Raymond S, Sporrer JM, Friedman WA. An observational study of hospital paging practices and workflow interruption among on-call junior neurological surgery residents. J Grad Med Educ. 2012;4(4):467-471. doi:10.4300/JGME-D-11-00306.1
18. Chick RC, Clifton GT, Peace KM, et al. Using technology to maintain the education of residents during the COVID-19 pandemic. J Surg Educ. 2020;77(4):729-732. doi:10.1016/j.jsurg.2020.03.018
Regularly scheduled educational conferences, such as case-based morning reports, have been a standard part of internal medicine residencies for decades.1-4 In addition to better patient care from the knowledge gained at educational conferences, attendance by interns and residents (collectively called house staff) may be associated with higher in-service examination scores.5 Unfortunately, competing priorities, including patient care and trainee supervision, may contribute to an action-intention gap among house staff that reduces attendance.6-8 Low attendance at morning reports represents wasted effort and lost educational opportunities; therefore, strategies to increase attendance are needed. Of several methods studied, more resource-intensive interventions (eg, providing food) were the most successful.6,9-12
Using the behavioral economics framework of nudge strategies, we hypothesized that a less intensive intervention of a daily reminder text page would encourage medical students, interns, and residents (collectively called learners) to attend the morning report conference.8,13 However, given the high cognitive load created by frequent task switching, a reminder text page could disrupt workflow and patient care without promoting the intended behavior change.14-17 Because of this uncertainty, our objective was to determine whether a preconference text page increased learner attendance at morning report conferences.
Methods
This study was a single-center, multiple-crossover cluster randomized controlled trial conducted at the Veteran Affairs Boston Healthcare System (VABHS) in Massachusetts. Study participants included house staff rotating on daytime inpatient rotations from 4 residency programs and students from 2 medical schools. The setting was the morning report, an in-person, interactive, case-based conference held Monday through Thursday, from 8:00
Learners assigned to rotate on the inpatient medicine, cardiology, medicine consultation, and patient safety rotations were eligible to attend these conferences and for inclusion in the study. Learners rotating in the medical intensive care unit, on night float, or on day float (an admitting shift for which residents are not on-site until late afternoon) were excluded. Additional details of the study population are available in the supplement (eAppendix). The study period was originally planned for September 30, 2019, to March 31, 2020, but data collection was stopped on March 12, 2020, due to the COVID-19 pandemic and suspension of in-person conferences. We chose the study period, which determined our sample size, to exclude the first 3 months of the academic year (July-September) because during that time learners acclimate to the inpatient workflow. We also chose not to include the last 3 months of the academic year to provide time for data analysis and preparation of the manuscript within the academic year.
Intervention and Outcome Assessment
Each intervention and control period was 3 weeks long; the first period was randomly determined by coin flip and alternated thereafter. Additional details of randomization are available in the supplement (Appendix 1). During intervention periods, all house staff received a page at 7:55
A daily facesheet (a roster of house staff names and photos) was used to identify learners for conference attendance. This facesheet was already used for other purposes at VABHS. At 8:00
During control periods, no text page reminder of upcoming conferences was sent, but the attendance of total learners at 8:00
Statistical Analysis
The primary outcome was the proportion of eligible learners present at 8:10
To estimate the primary outcome, we modeled the risk difference adjusted for covariates using a generalized estimating equation accounting for the clustering of attendance behavior within individuals and controlling for date and team. Secondary outcomes were estimated similarly. To evaluate the robustness of the primary outcome, we performed a sensitivity analysis using a multilevel generalized linear model with clustering by individual learner and team. Additional details on our statistical analysis plan, including accessing our raw data and analysis code, are available in Appendices 2 and 3. Categorical variables were compared using the χ2 or Fisher exact test. Continuous variables were compared using the t test or Wilcoxon rank-sum tests. All P values were 2-sided, and a significance level of ≤ .05 was considered statistically significant. Analysis was performed in Stata v16.1. Our study was deemed exempt by the VABHS Institutional Review Board, and this article was prepared following the CONSORT reporting guidelines. The trial protocol has been registered with the International Standard Randomized Controlled Trial Number registry
Results
Over the study period, 329 unique learners rotated on inpatient medical services at the VABHS and 211 were eligible to attend 85 morning report conferences and 22 Jeopardy conferences (Figure). Outcomes data were available for 100% of eligible participants. Forty-seven (55%) of the morning report conferences occurred during the intervention period (Table 1).
Morning report attendance observed at 8:10
On-time attendance was lower than at 8:10
To estimate the impact of rotating on teams with lighter clinical workloads on the association between receipt of a reminder page and conference attendance, we repeated our primary analysis with a test of interaction between team assignment and the intervention, which was not significant (P = .90). To estimate the impact of morning workload on the association between receipt of a reminder page and conference attendance, we performed a subgroup analysis limited to learners rotating on teams eligible to receive overnight admissions and included the number of overnight admissions as a covariate in our regression model. A test of interaction between the intervention and the number of overnight admissions on conference attendance was not significant (P = .73).
In a subgroup analysis limited to learners on teams eligible to receive overnight admissions and controlling for the number of overnight admissions (a proxy for morning workload), no significant interaction between the intervention and admissions was observed. We also assessed for interaction between learner type and receipt of a reminder page on conference attendance and found no evidence of such an effect.
Discussion
Among a diverse population of learners from multiple academic institutions rotating at a single, large, urban VA medical center, a nudge strategy of sending a reminder text page before morning report conferences was associated with a 4.0% absolute increase in attendance measured 10 minutes after the conference started compared with not sending a reminder page. Overall, only one-quarter of learners attended the morning report at the start at 8:00
We designed our analysis to overcome several limitations of prior studies on the effect of reminder text pages on conference attendance. First, to account for differences in conference attendance behavior of individual learners, we used a generalized estimating equation model that allowed clustering of outcomes by individual. Second, we controlled for the date to account for secular trends in conference attendance over the academic year. Finally, we controlled for the team to account for the possibility that the conference attendance behavior of one learner on a team influences the behavior of other learners on the same team.
We also evaluated the effect of a reminder page on attendance at a weekly Jeopardy conference. Interestingly, reminder pages seemed to increase on-time Jeopardy attendance, although this effect was no longer statistically significant at 8:10
We also assessed the interaction between sending a reminder page and learner type and its effect on conference attendance and found no evidence to support such an effect. Because medical students do not receive reminder pages, their conference attendance behavior can be thought of as indicative of clustering within teams. Though there was no evidence of a significant interaction, given the small number of students, our study may be underpowered to find a benefit for this group.
The results of this study differ from Smith and colleagues, who found that reminder pages had no overall effect on conference attendance for fellows; however, no sample size justification was provided in that study, making it difficult to evaluate the likelihood of a false-negative finding.7 Our study differs in several ways: the timing of the reminder page (5 minutes vs 30 minutes prior to the conference), the method by which attendance was recorded (by an independent observer vs learner sign-in), and the time that attendance was recorded (2 prespecified times vs continuously). As far as we know, our study is the first to evaluate the nudge effect of reminder text pages on internal medicine resident attendance at conferences, with attendance taken by an observer.
Limitations
This study has some limitations. First, it was conducted at a single VA medical center. An additional limitation was our decision to classify learners who arrived after 8:10
Unfortunately, due to the COVID-19 pandemic and the suspension of in-person conferences, our study ended earlier than anticipated. This resulted in an imbalance of morning report conferences that occurred during each period: 55% during the intervention period, and 45% during the control period. However, because we accounted for the clustering of conference attendance behavior within individuals in our model, this imbalance is unlikely to introduce bias in our estimation of the effect of the intervention.
Another limitation relates to the evolving landscape of educational conferences in the postpandemic era.18 Whether our results can be generalized to increase virtual conference attendance is unknown. Finally, it is not clear whether a 4% absolute increase in conference attendance is educationally meaningful or justifies the effort of sending a reminder page.
Conclusions
In this cluster randomized controlled trial conducted at a single VA medical center, reminder pages sent 5 minutes before the start of morning report conferences resulted in a 4% increase in conference attendance. Our results suggest that reminder pages are one strategy that may result in a small increase in conference attendance, but whether this small increase is educationally significant will vary across training programs applying this strategy.
Acknowledgments
The authors are indebted to Kenneth J. Mukamal and Katharine A. Robb, who provided invaluable guidance in data analysis. Todd Reese assisted in data organization and presentation of data, and Mark Tuttle designed the facesheet. None of these individuals received compensation for their assistance.
Regularly scheduled educational conferences, such as case-based morning reports, have been a standard part of internal medicine residencies for decades.1-4 In addition to better patient care from the knowledge gained at educational conferences, attendance by interns and residents (collectively called house staff) may be associated with higher in-service examination scores.5 Unfortunately, competing priorities, including patient care and trainee supervision, may contribute to an action-intention gap among house staff that reduces attendance.6-8 Low attendance at morning reports represents wasted effort and lost educational opportunities; therefore, strategies to increase attendance are needed. Of several methods studied, more resource-intensive interventions (eg, providing food) were the most successful.6,9-12
Using the behavioral economics framework of nudge strategies, we hypothesized that a less intensive intervention of a daily reminder text page would encourage medical students, interns, and residents (collectively called learners) to attend the morning report conference.8,13 However, given the high cognitive load created by frequent task switching, a reminder text page could disrupt workflow and patient care without promoting the intended behavior change.14-17 Because of this uncertainty, our objective was to determine whether a preconference text page increased learner attendance at morning report conferences.
Methods
This study was a single-center, multiple-crossover cluster randomized controlled trial conducted at the Veteran Affairs Boston Healthcare System (VABHS) in Massachusetts. Study participants included house staff rotating on daytime inpatient rotations from 4 residency programs and students from 2 medical schools. The setting was the morning report, an in-person, interactive, case-based conference held Monday through Thursday, from 8:00
Learners assigned to rotate on the inpatient medicine, cardiology, medicine consultation, and patient safety rotations were eligible to attend these conferences and for inclusion in the study. Learners rotating in the medical intensive care unit, on night float, or on day float (an admitting shift for which residents are not on-site until late afternoon) were excluded. Additional details of the study population are available in the supplement (eAppendix). The study period was originally planned for September 30, 2019, to March 31, 2020, but data collection was stopped on March 12, 2020, due to the COVID-19 pandemic and suspension of in-person conferences. We chose the study period, which determined our sample size, to exclude the first 3 months of the academic year (July-September) because during that time learners acclimate to the inpatient workflow. We also chose not to include the last 3 months of the academic year to provide time for data analysis and preparation of the manuscript within the academic year.
Intervention and Outcome Assessment
Each intervention and control period was 3 weeks long; the first period was randomly determined by coin flip and alternated thereafter. Additional details of randomization are available in the supplement (Appendix 1). During intervention periods, all house staff received a page at 7:55
A daily facesheet (a roster of house staff names and photos) was used to identify learners for conference attendance. This facesheet was already used for other purposes at VABHS. At 8:00
During control periods, no text page reminder of upcoming conferences was sent, but the attendance of total learners at 8:00
Statistical Analysis
The primary outcome was the proportion of eligible learners present at 8:10
To estimate the primary outcome, we modeled the risk difference adjusted for covariates using a generalized estimating equation accounting for the clustering of attendance behavior within individuals and controlling for date and team. Secondary outcomes were estimated similarly. To evaluate the robustness of the primary outcome, we performed a sensitivity analysis using a multilevel generalized linear model with clustering by individual learner and team. Additional details on our statistical analysis plan, including accessing our raw data and analysis code, are available in Appendices 2 and 3. Categorical variables were compared using the χ2 or Fisher exact test. Continuous variables were compared using the t test or Wilcoxon rank-sum tests. All P values were 2-sided, and a significance level of ≤ .05 was considered statistically significant. Analysis was performed in Stata v16.1. Our study was deemed exempt by the VABHS Institutional Review Board, and this article was prepared following the CONSORT reporting guidelines. The trial protocol has been registered with the International Standard Randomized Controlled Trial Number registry
Results
Over the study period, 329 unique learners rotated on inpatient medical services at the VABHS and 211 were eligible to attend 85 morning report conferences and 22 Jeopardy conferences (Figure). Outcomes data were available for 100% of eligible participants. Forty-seven (55%) of the morning report conferences occurred during the intervention period (Table 1).
Morning report attendance observed at 8:10
On-time attendance was lower than at 8:10
To estimate the impact of rotating on teams with lighter clinical workloads on the association between receipt of a reminder page and conference attendance, we repeated our primary analysis with a test of interaction between team assignment and the intervention, which was not significant (P = .90). To estimate the impact of morning workload on the association between receipt of a reminder page and conference attendance, we performed a subgroup analysis limited to learners rotating on teams eligible to receive overnight admissions and included the number of overnight admissions as a covariate in our regression model. A test of interaction between the intervention and the number of overnight admissions on conference attendance was not significant (P = .73).
In a subgroup analysis limited to learners on teams eligible to receive overnight admissions and controlling for the number of overnight admissions (a proxy for morning workload), no significant interaction between the intervention and admissions was observed. We also assessed for interaction between learner type and receipt of a reminder page on conference attendance and found no evidence of such an effect.
Discussion
Among a diverse population of learners from multiple academic institutions rotating at a single, large, urban VA medical center, a nudge strategy of sending a reminder text page before morning report conferences was associated with a 4.0% absolute increase in attendance measured 10 minutes after the conference started compared with not sending a reminder page. Overall, only one-quarter of learners attended the morning report at the start at 8:00
We designed our analysis to overcome several limitations of prior studies on the effect of reminder text pages on conference attendance. First, to account for differences in conference attendance behavior of individual learners, we used a generalized estimating equation model that allowed clustering of outcomes by individual. Second, we controlled for the date to account for secular trends in conference attendance over the academic year. Finally, we controlled for the team to account for the possibility that the conference attendance behavior of one learner on a team influences the behavior of other learners on the same team.
We also evaluated the effect of a reminder page on attendance at a weekly Jeopardy conference. Interestingly, reminder pages seemed to increase on-time Jeopardy attendance, although this effect was no longer statistically significant at 8:10
We also assessed the interaction between sending a reminder page and learner type and its effect on conference attendance and found no evidence to support such an effect. Because medical students do not receive reminder pages, their conference attendance behavior can be thought of as indicative of clustering within teams. Though there was no evidence of a significant interaction, given the small number of students, our study may be underpowered to find a benefit for this group.
The results of this study differ from Smith and colleagues, who found that reminder pages had no overall effect on conference attendance for fellows; however, no sample size justification was provided in that study, making it difficult to evaluate the likelihood of a false-negative finding.7 Our study differs in several ways: the timing of the reminder page (5 minutes vs 30 minutes prior to the conference), the method by which attendance was recorded (by an independent observer vs learner sign-in), and the time that attendance was recorded (2 prespecified times vs continuously). As far as we know, our study is the first to evaluate the nudge effect of reminder text pages on internal medicine resident attendance at conferences, with attendance taken by an observer.
Limitations
This study has some limitations. First, it was conducted at a single VA medical center. An additional limitation was our decision to classify learners who arrived after 8:10
Unfortunately, due to the COVID-19 pandemic and the suspension of in-person conferences, our study ended earlier than anticipated. This resulted in an imbalance of morning report conferences that occurred during each period: 55% during the intervention period, and 45% during the control period. However, because we accounted for the clustering of conference attendance behavior within individuals in our model, this imbalance is unlikely to introduce bias in our estimation of the effect of the intervention.
Another limitation relates to the evolving landscape of educational conferences in the postpandemic era.18 Whether our results can be generalized to increase virtual conference attendance is unknown. Finally, it is not clear whether a 4% absolute increase in conference attendance is educationally meaningful or justifies the effort of sending a reminder page.
Conclusions
In this cluster randomized controlled trial conducted at a single VA medical center, reminder pages sent 5 minutes before the start of morning report conferences resulted in a 4% increase in conference attendance. Our results suggest that reminder pages are one strategy that may result in a small increase in conference attendance, but whether this small increase is educationally significant will vary across training programs applying this strategy.
Acknowledgments
The authors are indebted to Kenneth J. Mukamal and Katharine A. Robb, who provided invaluable guidance in data analysis. Todd Reese assisted in data organization and presentation of data, and Mark Tuttle designed the facesheet. None of these individuals received compensation for their assistance.
1. Daniels VJ, Goldstein CE. Changing morning report: an educational intervention to address curricular needs. J Biomed Educ. 2014;2014:1-5. doi:10.1155/2014/830701
2. Parrino TA, Villanueva AG. The principles and practice of morning report. JAMA. 1986;256(6):730-733. doi:10.1001/jama.1986.03380060056025
3. Wenger NS, Shpiner RB. An analysis of morning report: implications for internal medicine education. Ann Intern Med. 1993;119(5):395-399. doi:10.7326/0003-4819-119-5-199309010-00008
4. Ways M, Kroenke K, Umali J, Buchwald D. Morning report. A survey of resident attitudes. Arch Intern Med. 1995;155(13):1433-1437. doi:10.1001/archinte.155.13.1433
5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83(4):449-453. doi:10.4065/83.4.449
6. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores? Acad Med. 2003;78(1):84-89. doi:10.1097/00001888-200301000-00015
7. Smith J, Zaffiri L, Clary J, Davis T, Bosslet GT. The effect of paging reminders on fellowship conference attendance: a multi-program randomized crossover study. J Grad Med Educ. 2016;8(3):372-377. doi:10.4300/JGME-D-15-00487.1
8. Sheeran P, Webb TL. The intention-behavior gap. Soc Personal Psychol Compass. 2016;10(9):503-518. doi:10.1111/spc3.12265
9. McDonald RJ, Luetmer PH, Kallmes DF. If you starve them, will they still come? Do complementary food provisions affect faculty meeting attendance in academic radiology? J Am Coll Radiol. 2011;8(11):809-810. doi:10.1016/j.jacr.2011.06.003
10. Segovis CM, Mueller PS, Rethlefsen ML, et al. If you feed them, they will come: a prospective study of the effects of complimentary food on attendance and physician attitudes at medical grand rounds at an academic medical center. BMC Med Educ. 2007;7:22. Published 2007 Jul 12. doi:10.1186/1472-6920-7-22
11. Mueller PS, Litin SC, Sowden ML, Habermann TM, LaRusso NF. Strategies for improving attendance at medical grand rounds at an academic medical center. Mayo Clin Proc. 2003;78(5):549-553. doi:10.4065/78.5.549
12. Tarabichi S, DeLeon M, Krumrei N, Hanna J, Maloney Patel N. Competition as a means for improving academic scores and attendance at education conference. J Surg Educ. 2018;75(6):1437-1440. doi:10.1016/j.jsurg.2018.04.020
13. Thaler RH, Sunstein CR. Nudge: Improving Decisions About Health, Wealth, and Happiness. Rev. and Expanded Ed. Penguin Books; 2009.
14. Weijers RJ, de Koning BB, Paas F. Nudging in education: from theory towards guidelines for successful implementation. Eur J Psychol Educ. 2021;36:883-902. Published 2020 Aug 24. doi:10.1007/s10212-020-00495-0
15. Wieland ML, Loertscher LL, Nelson DR, Szostek JH, Ficalora RD. A strategy to reduce interruptions at hospital morning report. J Grad Med Educ. 2010;2(1):83-84. doi:10.4300/JGME-D-09-00084.1
16. Witherspoon L, Nham E, Abdi H, et al. Is it time to rethink how we page physicians? Understanding paging patterns in a tertiary care hospital. BMC Health Serv Res. 2019;19(1):992. Published 2019 Dec 23. doi:10.1186/s12913-019-4844-0
17. Fargen KM, O’Connor T, Raymond S, Sporrer JM, Friedman WA. An observational study of hospital paging practices and workflow interruption among on-call junior neurological surgery residents. J Grad Med Educ. 2012;4(4):467-471. doi:10.4300/JGME-D-11-00306.1
18. Chick RC, Clifton GT, Peace KM, et al. Using technology to maintain the education of residents during the COVID-19 pandemic. J Surg Educ. 2020;77(4):729-732. doi:10.1016/j.jsurg.2020.03.018
1. Daniels VJ, Goldstein CE. Changing morning report: an educational intervention to address curricular needs. J Biomed Educ. 2014;2014:1-5. doi:10.1155/2014/830701
2. Parrino TA, Villanueva AG. The principles and practice of morning report. JAMA. 1986;256(6):730-733. doi:10.1001/jama.1986.03380060056025
3. Wenger NS, Shpiner RB. An analysis of morning report: implications for internal medicine education. Ann Intern Med. 1993;119(5):395-399. doi:10.7326/0003-4819-119-5-199309010-00008
4. Ways M, Kroenke K, Umali J, Buchwald D. Morning report. A survey of resident attitudes. Arch Intern Med. 1995;155(13):1433-1437. doi:10.1001/archinte.155.13.1433
5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83(4):449-453. doi:10.4065/83.4.449
6. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores? Acad Med. 2003;78(1):84-89. doi:10.1097/00001888-200301000-00015
7. Smith J, Zaffiri L, Clary J, Davis T, Bosslet GT. The effect of paging reminders on fellowship conference attendance: a multi-program randomized crossover study. J Grad Med Educ. 2016;8(3):372-377. doi:10.4300/JGME-D-15-00487.1
8. Sheeran P, Webb TL. The intention-behavior gap. Soc Personal Psychol Compass. 2016;10(9):503-518. doi:10.1111/spc3.12265
9. McDonald RJ, Luetmer PH, Kallmes DF. If you starve them, will they still come? Do complementary food provisions affect faculty meeting attendance in academic radiology? J Am Coll Radiol. 2011;8(11):809-810. doi:10.1016/j.jacr.2011.06.003
10. Segovis CM, Mueller PS, Rethlefsen ML, et al. If you feed them, they will come: a prospective study of the effects of complimentary food on attendance and physician attitudes at medical grand rounds at an academic medical center. BMC Med Educ. 2007;7:22. Published 2007 Jul 12. doi:10.1186/1472-6920-7-22
11. Mueller PS, Litin SC, Sowden ML, Habermann TM, LaRusso NF. Strategies for improving attendance at medical grand rounds at an academic medical center. Mayo Clin Proc. 2003;78(5):549-553. doi:10.4065/78.5.549
12. Tarabichi S, DeLeon M, Krumrei N, Hanna J, Maloney Patel N. Competition as a means for improving academic scores and attendance at education conference. J Surg Educ. 2018;75(6):1437-1440. doi:10.1016/j.jsurg.2018.04.020
13. Thaler RH, Sunstein CR. Nudge: Improving Decisions About Health, Wealth, and Happiness. Rev. and Expanded Ed. Penguin Books; 2009.
14. Weijers RJ, de Koning BB, Paas F. Nudging in education: from theory towards guidelines for successful implementation. Eur J Psychol Educ. 2021;36:883-902. Published 2020 Aug 24. doi:10.1007/s10212-020-00495-0
15. Wieland ML, Loertscher LL, Nelson DR, Szostek JH, Ficalora RD. A strategy to reduce interruptions at hospital morning report. J Grad Med Educ. 2010;2(1):83-84. doi:10.4300/JGME-D-09-00084.1
16. Witherspoon L, Nham E, Abdi H, et al. Is it time to rethink how we page physicians? Understanding paging patterns in a tertiary care hospital. BMC Health Serv Res. 2019;19(1):992. Published 2019 Dec 23. doi:10.1186/s12913-019-4844-0
17. Fargen KM, O’Connor T, Raymond S, Sporrer JM, Friedman WA. An observational study of hospital paging practices and workflow interruption among on-call junior neurological surgery residents. J Grad Med Educ. 2012;4(4):467-471. doi:10.4300/JGME-D-11-00306.1
18. Chick RC, Clifton GT, Peace KM, et al. Using technology to maintain the education of residents during the COVID-19 pandemic. J Surg Educ. 2020;77(4):729-732. doi:10.1016/j.jsurg.2020.03.018
Nephrology–Palliative Care Collaboration to Promote Outpatient Hemodialysis Goals of Care Conversations
Estimates of chronic kidney disease (CKD) among veterans range between 34% and 47% higher than in the general population.1 As patients progress to end-stage kidney disease and begin chronic dialysis, they often experience further functional and cognitive decline and a high symptom burden, leading to poor quality of life.2 Clinicians should initiate goals of care conversations (GOCCs) to support high-risk patients on dialysis to ensure that the interventions they receive align with their goals and preferences, since many patients on dialysis prefer measures focused on pain relief and discomfort.3,4 While proactive GOCCs are supported among nephrology associations, few such conversations take place.5,6 In one study, more than half of patients on dialysis stated they had not discussed end-of-life preferences in the past 12 months.4 As a result, patients may not consider the larger implications of receiving dialysis indefinitely as a life-sustaining treatment (LST).
In May 2018, the US Department of Veterans Affairs (VA) National Center for Ethics in Health Care rolled out the Life-Sustaining Treatment Decisions Initiative to proactively engage patients with serious illnesses, such as those with end-stage kidney disease, in GOCCs to clarify their preferences for LSTs.7 After comprehensive training, a preliminary audit at the Edward Hines, Jr. VA Hospital (EHJVAH) in Hines, Illinois, revealed that only 27% of patients on dialysis had LST preferences documented in a standardized LST note.
Nephrologists cite multiple barriers to proactively addressing goals of care with patients with advanced CKD, including clinician discomfort, perceived lack of time, infrastructure, and training.8,9 Similarly, the absence of a multidisciplinary advance care planning approach—specifically bringing together palliative care (PC) clinicians with nephrologists—has been highlighted but not as well studied.10,11
In this quality improvement (QI) project, we aimed to establish a workflow to enhance collaboration between nephrology and PC and to increase the percentage of VA patients on outpatient hemodialysis who engaged in GOCCs, as documented by completion of an LST progress note in the VA’s electronic health record (EHR). We developed a collaboration among PC, nephrology, and social work to improve the rates of documented GOCCs and LST patients on dialysis.
Implementation
EHJVAH is a 1A facility with > 80 patients who receive outpatient hemodialysis on campus. At the time of this collaboration in the fall of 2019, the collaborative dialysis team comprised 2 social workers and a nephrologist. The PC team included a coordinator, 2 nurse practitioners, and 3 physicians. A QI nurse was involved in the initial data gathering for this project.
The PC and nephrology medical directors developed a workflow process that reflected organizational and clinical steps in planning, initiating, and completing GOCCs with patients on outpatient dialysis (Table 1). The proposed process engaged an interdisciplinary PC and nephrology group and was revised to incorporate staff suggestions.
A prospective review of 85 EHJVAH hemodialysis unit patient records was conducted between September 1, 2019, and September 30, 2020 (Table 2). We reviewed LST completion rates for all patients receiving dialysis within this timeframe. During the intervention period, the PC team approached 40 patients without LST notes to engage in GOCCs.
Discussion
Over the 13-month collaboration, LST note completion rates increased from 27% to 81%, with 69 of 85 patients having a documented LST progress note in the EHR. PC approached nearly half of all patients on dialysis. Most patients agreed to be seen by the PC team, with 72% of those approached agreeing to a PC consultation. Previous research has suggested that having a trusted dialysis staff member included in GOCCs contributes to high acceptance rates.12
PC is a relatively uncommon partnership for nephrologists, and PC and hospice services are underutilized in patients on dialysis both nationally and within the VA.13-15 Our outcomes could be replicated, as PC is required at all VA sites.
Conclusions
The innovation of an interdisciplinary nephrology–PC collaboration was an important step in increasing high-quality GOCCs and eliciting patient preferences for LSTs among patients on dialysis. PC integration for patients on dialysis is associated with improved symptom management, fewer aggressive health care measures, and a higher likelihood of dying in one’s preferred setting.16 While this partnership focused on patients already receiving dialysis, successful PC interventions are felt most keenly upstream, before dialysis initiation.
Acknowledgments
The authors acknowledge the contributions of their colleague, Mary McCabe, DNP, Quality Systems Improvement, Edward Hines, Jr. Veterans Affairs Hospital. The authors also acknowledge the clinical dedication of the dialysis social workers, Sarah Adam, LCSW, and Sarah Kraner, LCSW, without which this collaboration would not have been possible.
1. Patel N, Golzy M, Nainani N, et al. Prevalence of various comorbidities among veterans with chronic kidney disease and its comparison with other datasets. Ren Fail. 2016;38(2):204-208. doi:10.3109/0886022X.2015.1117924
2. Weisbord SD, Carmody SS, Bruns FJ, et al. Symptom burden, quality of life, advance care planning and the potential value of palliative care in severely ill haemodialysis patients. Nephrol Dial Transplant. 2003;18(7):1345-1352. doi:10.1093/ndt/gfg105
3. Wachterman MW, Marcantonio ER, Davis RB, et al. Relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists. JAMA Intern Med. 2013;173(13):1206-1214. doi:10.1001/jamainternmed.2013.6036
4. Davison SN. End-of-life care preferences and needs: perceptions of patients with chronic kidney disease. Clin J Am Soc Nephrol. 2010;5(2):195-204. doi:10.2215/CJN.05960809
5. Williams AW, Dwyer AC, Eddy AA, et al; American Society of Nephrology Quality, and Patient Safety Task Force. Critical and honest conversations: the evidence behind the “Choosing Wisely” campaign recommendations by the American Society of Nephrology. Clin J Am Soc Nephrol. 2012;7(10):1664-1672. doi:10.2215/CJN.04970512
6. Renal Physicians Association. Shared Decision-Making in the Appropriate Initiation of and Withdrawal from Dialysis. 2nd ed. Renal Physicians Association; 2010.
7. US Department of Veterans Affairs, National Center for Ethics in Health Care. Goals of care conversations training for nurses, social workers, psychologists, and chaplains. Updated October 9, 2018. Accessed August 31, 2023. https://www.ethics.va.gov/goalsofcaretraining/team.asp
8. Goff SL, Unruh ML, Klingensmith J, et al. Advance care planning with patients on hemodialysis: an implementation study. BMC Palliat Care. 2019;18(1):64. Published 2019 Jul 26. doi:10.1186/s12904-019-0437-2
9. O’Hare AM, Szarka J, McFarland LV, et al. Provider perspectives on advance care planning for patients with kidney disease: whose job is it anyway? Clin J Am Soc Nephrol. 2016;11(5):855-866. doi:10.2215/CJN.11351015
10. Koncicki HM, Schell JO. Communication skills and decision making for elderly patients with advanced kidney disease: a guide for nephrologists. Am J Kidney Dis. 2016;67(4):688-695. doi:10.1053/j.ajkd.2015.09.032
11. Holley JL, Davison SN. Advance care planning for patients with advanced CKD: a need to move forward. Clin J Am Soc Nephrol. 2015;10(3):344-346. doi:10.2215/CJN.00290115
12. Davison SN. Facilitating advance care planning for patients with end-stage renal disease: the patient perspective. Clin J Am Soc Nephrol. 2006;1(5):1023-1028. doi:10.2215/CJN.01050306
13. Murray AM, Arko C, Chen SC, Gilbertson DT, Moss AH. Use of hospice in the United States dialysis population. Clin J Am Soc Nephrol. 2006;1(6):1248-1255. doi:10.2215/CJN.00970306
14. Williams ME, Sandeep J, Catic A. Aging and ESRD demographics: consequences for the practice of dialysis. Semin Dial. 2012;25(6):617-622. doi:10.1111/sdi.12029
15. US Dept of Veterans Affairs. FY 2020 annual report. Palliative and hospice care.
16. Chandna SM, Da Silva-Gane M, Marshall C, Warwicker P, Greenwood RN, Farrington K. Survival of elderly patients with stage 5 CKD: comparison of conservative management and renal replacement therapy. Nephrol Dial Transplant. 2011;26(5):1608-1614. doi:10.1093/ndt/gfq630
17. Fadem SZ, Fadem J. HD mortality predictor. Accessed August 31, 2023. http://touchcalc.com/calculators/sq
18. National Center for Ethics in Health Care. Setting health care goals: a guide for people with hearth problems. Updated June 2016. Accessed August 31, 2023. https://www.ethics.va.gov/docs/GoCC/lst_booklet_for_patients_setting_health_care_goals_final.pdf
Estimates of chronic kidney disease (CKD) among veterans range between 34% and 47% higher than in the general population.1 As patients progress to end-stage kidney disease and begin chronic dialysis, they often experience further functional and cognitive decline and a high symptom burden, leading to poor quality of life.2 Clinicians should initiate goals of care conversations (GOCCs) to support high-risk patients on dialysis to ensure that the interventions they receive align with their goals and preferences, since many patients on dialysis prefer measures focused on pain relief and discomfort.3,4 While proactive GOCCs are supported among nephrology associations, few such conversations take place.5,6 In one study, more than half of patients on dialysis stated they had not discussed end-of-life preferences in the past 12 months.4 As a result, patients may not consider the larger implications of receiving dialysis indefinitely as a life-sustaining treatment (LST).
In May 2018, the US Department of Veterans Affairs (VA) National Center for Ethics in Health Care rolled out the Life-Sustaining Treatment Decisions Initiative to proactively engage patients with serious illnesses, such as those with end-stage kidney disease, in GOCCs to clarify their preferences for LSTs.7 After comprehensive training, a preliminary audit at the Edward Hines, Jr. VA Hospital (EHJVAH) in Hines, Illinois, revealed that only 27% of patients on dialysis had LST preferences documented in a standardized LST note.
Nephrologists cite multiple barriers to proactively addressing goals of care with patients with advanced CKD, including clinician discomfort, perceived lack of time, infrastructure, and training.8,9 Similarly, the absence of a multidisciplinary advance care planning approach—specifically bringing together palliative care (PC) clinicians with nephrologists—has been highlighted but not as well studied.10,11
In this quality improvement (QI) project, we aimed to establish a workflow to enhance collaboration between nephrology and PC and to increase the percentage of VA patients on outpatient hemodialysis who engaged in GOCCs, as documented by completion of an LST progress note in the VA’s electronic health record (EHR). We developed a collaboration among PC, nephrology, and social work to improve the rates of documented GOCCs and LST patients on dialysis.
Implementation
EHJVAH is a 1A facility with > 80 patients who receive outpatient hemodialysis on campus. At the time of this collaboration in the fall of 2019, the collaborative dialysis team comprised 2 social workers and a nephrologist. The PC team included a coordinator, 2 nurse practitioners, and 3 physicians. A QI nurse was involved in the initial data gathering for this project.
The PC and nephrology medical directors developed a workflow process that reflected organizational and clinical steps in planning, initiating, and completing GOCCs with patients on outpatient dialysis (Table 1). The proposed process engaged an interdisciplinary PC and nephrology group and was revised to incorporate staff suggestions.
A prospective review of 85 EHJVAH hemodialysis unit patient records was conducted between September 1, 2019, and September 30, 2020 (Table 2). We reviewed LST completion rates for all patients receiving dialysis within this timeframe. During the intervention period, the PC team approached 40 patients without LST notes to engage in GOCCs.
Discussion
Over the 13-month collaboration, LST note completion rates increased from 27% to 81%, with 69 of 85 patients having a documented LST progress note in the EHR. PC approached nearly half of all patients on dialysis. Most patients agreed to be seen by the PC team, with 72% of those approached agreeing to a PC consultation. Previous research has suggested that having a trusted dialysis staff member included in GOCCs contributes to high acceptance rates.12
PC is a relatively uncommon partnership for nephrologists, and PC and hospice services are underutilized in patients on dialysis both nationally and within the VA.13-15 Our outcomes could be replicated, as PC is required at all VA sites.
Conclusions
The innovation of an interdisciplinary nephrology–PC collaboration was an important step in increasing high-quality GOCCs and eliciting patient preferences for LSTs among patients on dialysis. PC integration for patients on dialysis is associated with improved symptom management, fewer aggressive health care measures, and a higher likelihood of dying in one’s preferred setting.16 While this partnership focused on patients already receiving dialysis, successful PC interventions are felt most keenly upstream, before dialysis initiation.
Acknowledgments
The authors acknowledge the contributions of their colleague, Mary McCabe, DNP, Quality Systems Improvement, Edward Hines, Jr. Veterans Affairs Hospital. The authors also acknowledge the clinical dedication of the dialysis social workers, Sarah Adam, LCSW, and Sarah Kraner, LCSW, without which this collaboration would not have been possible.
Estimates of chronic kidney disease (CKD) among veterans range between 34% and 47% higher than in the general population.1 As patients progress to end-stage kidney disease and begin chronic dialysis, they often experience further functional and cognitive decline and a high symptom burden, leading to poor quality of life.2 Clinicians should initiate goals of care conversations (GOCCs) to support high-risk patients on dialysis to ensure that the interventions they receive align with their goals and preferences, since many patients on dialysis prefer measures focused on pain relief and discomfort.3,4 While proactive GOCCs are supported among nephrology associations, few such conversations take place.5,6 In one study, more than half of patients on dialysis stated they had not discussed end-of-life preferences in the past 12 months.4 As a result, patients may not consider the larger implications of receiving dialysis indefinitely as a life-sustaining treatment (LST).
In May 2018, the US Department of Veterans Affairs (VA) National Center for Ethics in Health Care rolled out the Life-Sustaining Treatment Decisions Initiative to proactively engage patients with serious illnesses, such as those with end-stage kidney disease, in GOCCs to clarify their preferences for LSTs.7 After comprehensive training, a preliminary audit at the Edward Hines, Jr. VA Hospital (EHJVAH) in Hines, Illinois, revealed that only 27% of patients on dialysis had LST preferences documented in a standardized LST note.
Nephrologists cite multiple barriers to proactively addressing goals of care with patients with advanced CKD, including clinician discomfort, perceived lack of time, infrastructure, and training.8,9 Similarly, the absence of a multidisciplinary advance care planning approach—specifically bringing together palliative care (PC) clinicians with nephrologists—has been highlighted but not as well studied.10,11
In this quality improvement (QI) project, we aimed to establish a workflow to enhance collaboration between nephrology and PC and to increase the percentage of VA patients on outpatient hemodialysis who engaged in GOCCs, as documented by completion of an LST progress note in the VA’s electronic health record (EHR). We developed a collaboration among PC, nephrology, and social work to improve the rates of documented GOCCs and LST patients on dialysis.
Implementation
EHJVAH is a 1A facility with > 80 patients who receive outpatient hemodialysis on campus. At the time of this collaboration in the fall of 2019, the collaborative dialysis team comprised 2 social workers and a nephrologist. The PC team included a coordinator, 2 nurse practitioners, and 3 physicians. A QI nurse was involved in the initial data gathering for this project.
The PC and nephrology medical directors developed a workflow process that reflected organizational and clinical steps in planning, initiating, and completing GOCCs with patients on outpatient dialysis (Table 1). The proposed process engaged an interdisciplinary PC and nephrology group and was revised to incorporate staff suggestions.
A prospective review of 85 EHJVAH hemodialysis unit patient records was conducted between September 1, 2019, and September 30, 2020 (Table 2). We reviewed LST completion rates for all patients receiving dialysis within this timeframe. During the intervention period, the PC team approached 40 patients without LST notes to engage in GOCCs.
Discussion
Over the 13-month collaboration, LST note completion rates increased from 27% to 81%, with 69 of 85 patients having a documented LST progress note in the EHR. PC approached nearly half of all patients on dialysis. Most patients agreed to be seen by the PC team, with 72% of those approached agreeing to a PC consultation. Previous research has suggested that having a trusted dialysis staff member included in GOCCs contributes to high acceptance rates.12
PC is a relatively uncommon partnership for nephrologists, and PC and hospice services are underutilized in patients on dialysis both nationally and within the VA.13-15 Our outcomes could be replicated, as PC is required at all VA sites.
Conclusions
The innovation of an interdisciplinary nephrology–PC collaboration was an important step in increasing high-quality GOCCs and eliciting patient preferences for LSTs among patients on dialysis. PC integration for patients on dialysis is associated with improved symptom management, fewer aggressive health care measures, and a higher likelihood of dying in one’s preferred setting.16 While this partnership focused on patients already receiving dialysis, successful PC interventions are felt most keenly upstream, before dialysis initiation.
Acknowledgments
The authors acknowledge the contributions of their colleague, Mary McCabe, DNP, Quality Systems Improvement, Edward Hines, Jr. Veterans Affairs Hospital. The authors also acknowledge the clinical dedication of the dialysis social workers, Sarah Adam, LCSW, and Sarah Kraner, LCSW, without which this collaboration would not have been possible.
1. Patel N, Golzy M, Nainani N, et al. Prevalence of various comorbidities among veterans with chronic kidney disease and its comparison with other datasets. Ren Fail. 2016;38(2):204-208. doi:10.3109/0886022X.2015.1117924
2. Weisbord SD, Carmody SS, Bruns FJ, et al. Symptom burden, quality of life, advance care planning and the potential value of palliative care in severely ill haemodialysis patients. Nephrol Dial Transplant. 2003;18(7):1345-1352. doi:10.1093/ndt/gfg105
3. Wachterman MW, Marcantonio ER, Davis RB, et al. Relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists. JAMA Intern Med. 2013;173(13):1206-1214. doi:10.1001/jamainternmed.2013.6036
4. Davison SN. End-of-life care preferences and needs: perceptions of patients with chronic kidney disease. Clin J Am Soc Nephrol. 2010;5(2):195-204. doi:10.2215/CJN.05960809
5. Williams AW, Dwyer AC, Eddy AA, et al; American Society of Nephrology Quality, and Patient Safety Task Force. Critical and honest conversations: the evidence behind the “Choosing Wisely” campaign recommendations by the American Society of Nephrology. Clin J Am Soc Nephrol. 2012;7(10):1664-1672. doi:10.2215/CJN.04970512
6. Renal Physicians Association. Shared Decision-Making in the Appropriate Initiation of and Withdrawal from Dialysis. 2nd ed. Renal Physicians Association; 2010.
7. US Department of Veterans Affairs, National Center for Ethics in Health Care. Goals of care conversations training for nurses, social workers, psychologists, and chaplains. Updated October 9, 2018. Accessed August 31, 2023. https://www.ethics.va.gov/goalsofcaretraining/team.asp
8. Goff SL, Unruh ML, Klingensmith J, et al. Advance care planning with patients on hemodialysis: an implementation study. BMC Palliat Care. 2019;18(1):64. Published 2019 Jul 26. doi:10.1186/s12904-019-0437-2
9. O’Hare AM, Szarka J, McFarland LV, et al. Provider perspectives on advance care planning for patients with kidney disease: whose job is it anyway? Clin J Am Soc Nephrol. 2016;11(5):855-866. doi:10.2215/CJN.11351015
10. Koncicki HM, Schell JO. Communication skills and decision making for elderly patients with advanced kidney disease: a guide for nephrologists. Am J Kidney Dis. 2016;67(4):688-695. doi:10.1053/j.ajkd.2015.09.032
11. Holley JL, Davison SN. Advance care planning for patients with advanced CKD: a need to move forward. Clin J Am Soc Nephrol. 2015;10(3):344-346. doi:10.2215/CJN.00290115
12. Davison SN. Facilitating advance care planning for patients with end-stage renal disease: the patient perspective. Clin J Am Soc Nephrol. 2006;1(5):1023-1028. doi:10.2215/CJN.01050306
13. Murray AM, Arko C, Chen SC, Gilbertson DT, Moss AH. Use of hospice in the United States dialysis population. Clin J Am Soc Nephrol. 2006;1(6):1248-1255. doi:10.2215/CJN.00970306
14. Williams ME, Sandeep J, Catic A. Aging and ESRD demographics: consequences for the practice of dialysis. Semin Dial. 2012;25(6):617-622. doi:10.1111/sdi.12029
15. US Dept of Veterans Affairs. FY 2020 annual report. Palliative and hospice care.
16. Chandna SM, Da Silva-Gane M, Marshall C, Warwicker P, Greenwood RN, Farrington K. Survival of elderly patients with stage 5 CKD: comparison of conservative management and renal replacement therapy. Nephrol Dial Transplant. 2011;26(5):1608-1614. doi:10.1093/ndt/gfq630
17. Fadem SZ, Fadem J. HD mortality predictor. Accessed August 31, 2023. http://touchcalc.com/calculators/sq
18. National Center for Ethics in Health Care. Setting health care goals: a guide for people with hearth problems. Updated June 2016. Accessed August 31, 2023. https://www.ethics.va.gov/docs/GoCC/lst_booklet_for_patients_setting_health_care_goals_final.pdf
1. Patel N, Golzy M, Nainani N, et al. Prevalence of various comorbidities among veterans with chronic kidney disease and its comparison with other datasets. Ren Fail. 2016;38(2):204-208. doi:10.3109/0886022X.2015.1117924
2. Weisbord SD, Carmody SS, Bruns FJ, et al. Symptom burden, quality of life, advance care planning and the potential value of palliative care in severely ill haemodialysis patients. Nephrol Dial Transplant. 2003;18(7):1345-1352. doi:10.1093/ndt/gfg105
3. Wachterman MW, Marcantonio ER, Davis RB, et al. Relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists. JAMA Intern Med. 2013;173(13):1206-1214. doi:10.1001/jamainternmed.2013.6036
4. Davison SN. End-of-life care preferences and needs: perceptions of patients with chronic kidney disease. Clin J Am Soc Nephrol. 2010;5(2):195-204. doi:10.2215/CJN.05960809
5. Williams AW, Dwyer AC, Eddy AA, et al; American Society of Nephrology Quality, and Patient Safety Task Force. Critical and honest conversations: the evidence behind the “Choosing Wisely” campaign recommendations by the American Society of Nephrology. Clin J Am Soc Nephrol. 2012;7(10):1664-1672. doi:10.2215/CJN.04970512
6. Renal Physicians Association. Shared Decision-Making in the Appropriate Initiation of and Withdrawal from Dialysis. 2nd ed. Renal Physicians Association; 2010.
7. US Department of Veterans Affairs, National Center for Ethics in Health Care. Goals of care conversations training for nurses, social workers, psychologists, and chaplains. Updated October 9, 2018. Accessed August 31, 2023. https://www.ethics.va.gov/goalsofcaretraining/team.asp
8. Goff SL, Unruh ML, Klingensmith J, et al. Advance care planning with patients on hemodialysis: an implementation study. BMC Palliat Care. 2019;18(1):64. Published 2019 Jul 26. doi:10.1186/s12904-019-0437-2
9. O’Hare AM, Szarka J, McFarland LV, et al. Provider perspectives on advance care planning for patients with kidney disease: whose job is it anyway? Clin J Am Soc Nephrol. 2016;11(5):855-866. doi:10.2215/CJN.11351015
10. Koncicki HM, Schell JO. Communication skills and decision making for elderly patients with advanced kidney disease: a guide for nephrologists. Am J Kidney Dis. 2016;67(4):688-695. doi:10.1053/j.ajkd.2015.09.032
11. Holley JL, Davison SN. Advance care planning for patients with advanced CKD: a need to move forward. Clin J Am Soc Nephrol. 2015;10(3):344-346. doi:10.2215/CJN.00290115
12. Davison SN. Facilitating advance care planning for patients with end-stage renal disease: the patient perspective. Clin J Am Soc Nephrol. 2006;1(5):1023-1028. doi:10.2215/CJN.01050306
13. Murray AM, Arko C, Chen SC, Gilbertson DT, Moss AH. Use of hospice in the United States dialysis population. Clin J Am Soc Nephrol. 2006;1(6):1248-1255. doi:10.2215/CJN.00970306
14. Williams ME, Sandeep J, Catic A. Aging and ESRD demographics: consequences for the practice of dialysis. Semin Dial. 2012;25(6):617-622. doi:10.1111/sdi.12029
15. US Dept of Veterans Affairs. FY 2020 annual report. Palliative and hospice care.
16. Chandna SM, Da Silva-Gane M, Marshall C, Warwicker P, Greenwood RN, Farrington K. Survival of elderly patients with stage 5 CKD: comparison of conservative management and renal replacement therapy. Nephrol Dial Transplant. 2011;26(5):1608-1614. doi:10.1093/ndt/gfq630
17. Fadem SZ, Fadem J. HD mortality predictor. Accessed August 31, 2023. http://touchcalc.com/calculators/sq
18. National Center for Ethics in Health Care. Setting health care goals: a guide for people with hearth problems. Updated June 2016. Accessed August 31, 2023. https://www.ethics.va.gov/docs/GoCC/lst_booklet_for_patients_setting_health_care_goals_final.pdf
Precision medicine takes individual approach to diabetes
HAMBURG, GERMANY –
“Diabetes recommendations often focus on what works well for the average person. However, because diabetes is an incredibly heterogeneous disease, few people are Mr. or Mrs. ‘average’ and one-size-fits-all approaches fail many people in need. Precision medicine seeks to address this major problem,” said Precision Medicine in Diabetes Initiative (PDMI) cochair Paul Franks, PhD, MPhil, head of the department of translational medicine at the Novo Nordisk Foundation in Denmark.
The report is the second from the joint American Diabetes Association/European Association for the Study of Diabetes PDMI, a consortium organized in 2018 with the aim of addressing “the untenable health and economic burdens of diabetes prevention and care.”
Based on findings from 15 systematic reviews and expert opinions, the new statement covers the key precision medicine pillars of prevention, diagnosis, treatment, and prognosis for each of four major recognized forms of diabetes: monogenic, gestational, type 1, and type 2. It addresses clinical translation of precision medicine research, including near-term actionable measures. Working groups were tasked with defining the key research questions that need to be addressed for precision diabetes medicine to be implemented into clinical practice by 2030.
Dr. Franks noted that “precision medicine seeks to improve diabetes prevention and care by combining data about a person’s health or disease state and response to medications. The aim is to tailor the advice given about diabetes prevention or treatment to the person in question, rather than having them make do with generic advice. Precision medicine very much focuses on treating the person and not the disease.”
A 90-minute symposium summarizing the report was presented at the annual meeting of the European Association for the Study of Diabetes. An executive summary was simultaneously published in the journal Nature Medicine. Four additional complementary papers, covering cardiometabolic disease precision medicine, diabetes heterogeneity, precision medicine of obesity, and precision cardiometabolic medicine in low- and middle-income countries, were published separately in The Lancet Diabetes & Endocrinology.
In a comment, Kamlesh Khunti, MD, professor of primary care diabetes and vascular medicine at the University of Leicester, England, called the new report “fantastic collaborative work.”
However, Dr. Khunti said, “I think at the moment we’re at the discovery stage of precision medicine. The clinical utility of that, we’ll have to see over the years.”
Dr. Khunti also pointed out: “A lot of the work done in precision medicine has been on specific diseases, like diabetes and cardiovascular disease. But, 30% of people don’t just have one disease, they have multiple long-term conditions. I think we need to start thinking about that now, rather than single conditions, because we want to look at drug targets that will hit multiple long-term conditions rather than one single condition.”
Currently, a dearth of data
Even just within diabetes, there is a dearth of quality data. In fact, Dr. Franks told this news organization, there has only been one precision medicine trial in diabetes, called TriMaster, comparing individual responses to three different second-line treatments for type 2 diabetes after metformin. “The problem with that trial is that the second-line medications it investigated aren’t widely prescribed now. The trial was designed back in 2014. It took a long time, then there was COVID, and by the time it was published too much time had elapsed and it was already out of date.”
Ideally, to make this effort current, Dr. Franks said, “is to get drug companies to implement these trials into their development pipelines. If you think about it, it’s far more efficient to implement precision medicine early in the drug development process than late, because when you do it late you end up having to do lots of comparisons of different possibilities. When you do it early you sort out those comparisons as part of the development process, so it really comes down to companies being willing to do that and regulators being willing to accept results from those trials. That’s another challenge, which is why we stress regulatory engagement as a key thing.”
In the future, he said, using the second-line type 2 diabetes drug as an example, when a person is diagnosed with type 2 diabetes they might automatically be given a companion diagnostic that’s more sophisticated and more precise than current ways of defining cardiovascular risk to better predict which individuals are more likely to experience a cardiovascular event.
This concept, referred to as “precision diagnostics,” is a “core driver of precision medicine,” Dr. Franks said. “If we can get a higher predictive accuracy on cardiovascular outcomes in people with diabetes, essentially treatment allocation is likely to be more precise too, because you’re not treating people you don’t need to treat and you’re not missing people you should have treated. I think that’s probably how it will work out.”
‘Studying diverse populations benefits everyone’
An important component emphasized in the report is the lack of “relevant, high-quality research in people of non-European ancestry, hindering the development and implementation of precision diabetes medicine in many of the most heavily burdened populations worldwide.”
That specific issue was addressed during the symposium by Shivani Misra, MBBS, PhD clinical senior lecturer in diabetes and endocrinology at Imperial College, London, and the lead author of the separate complementary paper on the topic.
Dr. Misra argued against the notion that precision medicine is only for wealthy countries, noting that diabetes and other noncommunicable diseases are becoming major health problems in low- and middle-income countries. “Resource-restricted settings may derive the greatest benefits from precision medicine,” she said. “Studying diverse populations benefits everyone.”
And worldwide, she noted, “the right drug for the right person will improve cost-effectiveness in the long-term.”
Dr. Franks is an employee of the Novo Nordisk Foundation, a “purely philanthropic enterprise-owning foundation” with a portfolio of 151 companies. He has received consultancy fees from Zoe Ltd., Eli Lilly, and Novo Nordisk, and research funding from multiple pharmaceutical companies. Dr. Khunti has acted as a consultant, speaker, or received grants for investigator-initiated studies from AstraZeneca, Novartis, Novo Nordisk, Sanofi-Aventis, Lilly and Merck Sharp & Dohme, Boehringer Ingelheim, Bayer, Berlin-Chemie/Menarini Group, Janssen, and Napp. Dr. Misra has received speaker fees from Sanofi and ABCD and an investigator-initiated research grant from Dexcom, and is a trustee for the Diabetes Research and Wellness Foundation.
A version of this article first appeared on Medscape.com.
HAMBURG, GERMANY –
“Diabetes recommendations often focus on what works well for the average person. However, because diabetes is an incredibly heterogeneous disease, few people are Mr. or Mrs. ‘average’ and one-size-fits-all approaches fail many people in need. Precision medicine seeks to address this major problem,” said Precision Medicine in Diabetes Initiative (PDMI) cochair Paul Franks, PhD, MPhil, head of the department of translational medicine at the Novo Nordisk Foundation in Denmark.
The report is the second from the joint American Diabetes Association/European Association for the Study of Diabetes PDMI, a consortium organized in 2018 with the aim of addressing “the untenable health and economic burdens of diabetes prevention and care.”
Based on findings from 15 systematic reviews and expert opinions, the new statement covers the key precision medicine pillars of prevention, diagnosis, treatment, and prognosis for each of four major recognized forms of diabetes: monogenic, gestational, type 1, and type 2. It addresses clinical translation of precision medicine research, including near-term actionable measures. Working groups were tasked with defining the key research questions that need to be addressed for precision diabetes medicine to be implemented into clinical practice by 2030.
Dr. Franks noted that “precision medicine seeks to improve diabetes prevention and care by combining data about a person’s health or disease state and response to medications. The aim is to tailor the advice given about diabetes prevention or treatment to the person in question, rather than having them make do with generic advice. Precision medicine very much focuses on treating the person and not the disease.”
A 90-minute symposium summarizing the report was presented at the annual meeting of the European Association for the Study of Diabetes. An executive summary was simultaneously published in the journal Nature Medicine. Four additional complementary papers, covering cardiometabolic disease precision medicine, diabetes heterogeneity, precision medicine of obesity, and precision cardiometabolic medicine in low- and middle-income countries, were published separately in The Lancet Diabetes & Endocrinology.
In a comment, Kamlesh Khunti, MD, professor of primary care diabetes and vascular medicine at the University of Leicester, England, called the new report “fantastic collaborative work.”
However, Dr. Khunti said, “I think at the moment we’re at the discovery stage of precision medicine. The clinical utility of that, we’ll have to see over the years.”
Dr. Khunti also pointed out: “A lot of the work done in precision medicine has been on specific diseases, like diabetes and cardiovascular disease. But, 30% of people don’t just have one disease, they have multiple long-term conditions. I think we need to start thinking about that now, rather than single conditions, because we want to look at drug targets that will hit multiple long-term conditions rather than one single condition.”
Currently, a dearth of data
Even just within diabetes, there is a dearth of quality data. In fact, Dr. Franks told this news organization, there has only been one precision medicine trial in diabetes, called TriMaster, comparing individual responses to three different second-line treatments for type 2 diabetes after metformin. “The problem with that trial is that the second-line medications it investigated aren’t widely prescribed now. The trial was designed back in 2014. It took a long time, then there was COVID, and by the time it was published too much time had elapsed and it was already out of date.”
Ideally, to make this effort current, Dr. Franks said, “is to get drug companies to implement these trials into their development pipelines. If you think about it, it’s far more efficient to implement precision medicine early in the drug development process than late, because when you do it late you end up having to do lots of comparisons of different possibilities. When you do it early you sort out those comparisons as part of the development process, so it really comes down to companies being willing to do that and regulators being willing to accept results from those trials. That’s another challenge, which is why we stress regulatory engagement as a key thing.”
In the future, he said, using the second-line type 2 diabetes drug as an example, when a person is diagnosed with type 2 diabetes they might automatically be given a companion diagnostic that’s more sophisticated and more precise than current ways of defining cardiovascular risk to better predict which individuals are more likely to experience a cardiovascular event.
This concept, referred to as “precision diagnostics,” is a “core driver of precision medicine,” Dr. Franks said. “If we can get a higher predictive accuracy on cardiovascular outcomes in people with diabetes, essentially treatment allocation is likely to be more precise too, because you’re not treating people you don’t need to treat and you’re not missing people you should have treated. I think that’s probably how it will work out.”
‘Studying diverse populations benefits everyone’
An important component emphasized in the report is the lack of “relevant, high-quality research in people of non-European ancestry, hindering the development and implementation of precision diabetes medicine in many of the most heavily burdened populations worldwide.”
That specific issue was addressed during the symposium by Shivani Misra, MBBS, PhD clinical senior lecturer in diabetes and endocrinology at Imperial College, London, and the lead author of the separate complementary paper on the topic.
Dr. Misra argued against the notion that precision medicine is only for wealthy countries, noting that diabetes and other noncommunicable diseases are becoming major health problems in low- and middle-income countries. “Resource-restricted settings may derive the greatest benefits from precision medicine,” she said. “Studying diverse populations benefits everyone.”
And worldwide, she noted, “the right drug for the right person will improve cost-effectiveness in the long-term.”
Dr. Franks is an employee of the Novo Nordisk Foundation, a “purely philanthropic enterprise-owning foundation” with a portfolio of 151 companies. He has received consultancy fees from Zoe Ltd., Eli Lilly, and Novo Nordisk, and research funding from multiple pharmaceutical companies. Dr. Khunti has acted as a consultant, speaker, or received grants for investigator-initiated studies from AstraZeneca, Novartis, Novo Nordisk, Sanofi-Aventis, Lilly and Merck Sharp & Dohme, Boehringer Ingelheim, Bayer, Berlin-Chemie/Menarini Group, Janssen, and Napp. Dr. Misra has received speaker fees from Sanofi and ABCD and an investigator-initiated research grant from Dexcom, and is a trustee for the Diabetes Research and Wellness Foundation.
A version of this article first appeared on Medscape.com.
HAMBURG, GERMANY –
“Diabetes recommendations often focus on what works well for the average person. However, because diabetes is an incredibly heterogeneous disease, few people are Mr. or Mrs. ‘average’ and one-size-fits-all approaches fail many people in need. Precision medicine seeks to address this major problem,” said Precision Medicine in Diabetes Initiative (PDMI) cochair Paul Franks, PhD, MPhil, head of the department of translational medicine at the Novo Nordisk Foundation in Denmark.
The report is the second from the joint American Diabetes Association/European Association for the Study of Diabetes PDMI, a consortium organized in 2018 with the aim of addressing “the untenable health and economic burdens of diabetes prevention and care.”
Based on findings from 15 systematic reviews and expert opinions, the new statement covers the key precision medicine pillars of prevention, diagnosis, treatment, and prognosis for each of four major recognized forms of diabetes: monogenic, gestational, type 1, and type 2. It addresses clinical translation of precision medicine research, including near-term actionable measures. Working groups were tasked with defining the key research questions that need to be addressed for precision diabetes medicine to be implemented into clinical practice by 2030.
Dr. Franks noted that “precision medicine seeks to improve diabetes prevention and care by combining data about a person’s health or disease state and response to medications. The aim is to tailor the advice given about diabetes prevention or treatment to the person in question, rather than having them make do with generic advice. Precision medicine very much focuses on treating the person and not the disease.”
A 90-minute symposium summarizing the report was presented at the annual meeting of the European Association for the Study of Diabetes. An executive summary was simultaneously published in the journal Nature Medicine. Four additional complementary papers, covering cardiometabolic disease precision medicine, diabetes heterogeneity, precision medicine of obesity, and precision cardiometabolic medicine in low- and middle-income countries, were published separately in The Lancet Diabetes & Endocrinology.
In a comment, Kamlesh Khunti, MD, professor of primary care diabetes and vascular medicine at the University of Leicester, England, called the new report “fantastic collaborative work.”
However, Dr. Khunti said, “I think at the moment we’re at the discovery stage of precision medicine. The clinical utility of that, we’ll have to see over the years.”
Dr. Khunti also pointed out: “A lot of the work done in precision medicine has been on specific diseases, like diabetes and cardiovascular disease. But, 30% of people don’t just have one disease, they have multiple long-term conditions. I think we need to start thinking about that now, rather than single conditions, because we want to look at drug targets that will hit multiple long-term conditions rather than one single condition.”
Currently, a dearth of data
Even just within diabetes, there is a dearth of quality data. In fact, Dr. Franks told this news organization, there has only been one precision medicine trial in diabetes, called TriMaster, comparing individual responses to three different second-line treatments for type 2 diabetes after metformin. “The problem with that trial is that the second-line medications it investigated aren’t widely prescribed now. The trial was designed back in 2014. It took a long time, then there was COVID, and by the time it was published too much time had elapsed and it was already out of date.”
Ideally, to make this effort current, Dr. Franks said, “is to get drug companies to implement these trials into their development pipelines. If you think about it, it’s far more efficient to implement precision medicine early in the drug development process than late, because when you do it late you end up having to do lots of comparisons of different possibilities. When you do it early you sort out those comparisons as part of the development process, so it really comes down to companies being willing to do that and regulators being willing to accept results from those trials. That’s another challenge, which is why we stress regulatory engagement as a key thing.”
In the future, he said, using the second-line type 2 diabetes drug as an example, when a person is diagnosed with type 2 diabetes they might automatically be given a companion diagnostic that’s more sophisticated and more precise than current ways of defining cardiovascular risk to better predict which individuals are more likely to experience a cardiovascular event.
This concept, referred to as “precision diagnostics,” is a “core driver of precision medicine,” Dr. Franks said. “If we can get a higher predictive accuracy on cardiovascular outcomes in people with diabetes, essentially treatment allocation is likely to be more precise too, because you’re not treating people you don’t need to treat and you’re not missing people you should have treated. I think that’s probably how it will work out.”
‘Studying diverse populations benefits everyone’
An important component emphasized in the report is the lack of “relevant, high-quality research in people of non-European ancestry, hindering the development and implementation of precision diabetes medicine in many of the most heavily burdened populations worldwide.”
That specific issue was addressed during the symposium by Shivani Misra, MBBS, PhD clinical senior lecturer in diabetes and endocrinology at Imperial College, London, and the lead author of the separate complementary paper on the topic.
Dr. Misra argued against the notion that precision medicine is only for wealthy countries, noting that diabetes and other noncommunicable diseases are becoming major health problems in low- and middle-income countries. “Resource-restricted settings may derive the greatest benefits from precision medicine,” she said. “Studying diverse populations benefits everyone.”
And worldwide, she noted, “the right drug for the right person will improve cost-effectiveness in the long-term.”
Dr. Franks is an employee of the Novo Nordisk Foundation, a “purely philanthropic enterprise-owning foundation” with a portfolio of 151 companies. He has received consultancy fees from Zoe Ltd., Eli Lilly, and Novo Nordisk, and research funding from multiple pharmaceutical companies. Dr. Khunti has acted as a consultant, speaker, or received grants for investigator-initiated studies from AstraZeneca, Novartis, Novo Nordisk, Sanofi-Aventis, Lilly and Merck Sharp & Dohme, Boehringer Ingelheim, Bayer, Berlin-Chemie/Menarini Group, Janssen, and Napp. Dr. Misra has received speaker fees from Sanofi and ABCD and an investigator-initiated research grant from Dexcom, and is a trustee for the Diabetes Research and Wellness Foundation.
A version of this article first appeared on Medscape.com.
FROM EASD 2023
What is the future for multicancer early-detection tests?
Suzette Delaloge, MD, MSc, oncologist, breast cancer specialist, and director of the individualized cancer prevention program (Interception) at the Gustave Roussy Institute in Villejuif, France, looks into these “liquid biopsies” and shares her reservations about their potential marketing, especially to the organized care plans.
Question: What are the general principles underpinning these MCED tests?
Suzette Delaloge, MD, MSc: Despite their specificities, the general idea is to detect certain cancer markers in various body fluids (blood, urine, saliva, etc.), for example, molecules released by cancer cells (cytokines, inflammatory proteins, leptin, etc.) or distinctive features of the DNA in tumor cells. In blood, these molecules can be found in plasma or in serum. In urine, it’s more about detecting kidney, bladder, and urinary tract cancers.
Q: What sort of time frame are we looking at for these MCED tests to be used in routine practice?
Dr. Delaloge: They first appeared around 10 years ago. Development of these tests has intensified in recent years. There are numerous research laboratories, both public and private, that are developing different early-detection tests for cancer.
Some of these development processes are about to come to an end and are expected to be in regular, concrete use within 5-10 years. For the most advanced developments, the main biologic material researched and analyzed is DNA from cancer cells. We all have fragments of DNA from dead cells in our plasma (apoptosis), but cancer cells release more of these than others, and most importantly, their DNA has distinctive characteristics. The idea is to develop tests capable of detecting these characteristics.
Liquid biopsies based on genomic biomarkers could make MCED a reality, especially for cancers for which there is no standard screening process. But at this stage of the research, there are limitations, including low sensitivity for detecting stage I cancers in validation studies and an increased risk for overdiagnosis.
Q: What specific set of characteristics are the most advanced approaches based on?
Dr. Delaloge: They’re based on the analysis of DNA methylation, a biological process by which CH3 methyl groups are added to the DNA molecule and that determines gene expression. This phenomenon differs depending on whether the cell is cancerous. Among the tests currently under development making use of this specific characteristic is the Galleri test, which is the most advanced of them all.
A previous British National Health Service study, SYMPLIFY, which was published in 2023 by researchers at the University of Oxford, was conducted in symptomatic patients attending a health center. It offers promising results in a diagnostic situation. It has nothing at all to do with screening here. A large, randomized English study, NHS-Galleri, is underway, this time involving the general population, with the aim of assessing the potential benefit of the same test as screening in 140,000 people between ages 50 and 77 years.
In the SYMPLIFY study, which was carried out in symptomatic patients attending a health center, the Galleri MCED test had a positive predictive value of 75.5%, a negative predictive value of 97.6%, a sensitivity of 66.3%, and a specificity of 98.4%. Sensitivity increased with age and cancer stage from 24.2% at stage I to 95.3% at stage IV. For cases for which a cancer signal was detected in patients with cancer, the prediction of the original site of the cancer by the MCED test was accurate in 85.2% of cases. This large-scale prospective evaluation of an MCED diagnostic test confirms its feasibility in a symptomatic population but is not yet sufficiently accurate to “confirm or rule out the presence of cancer.” According to the authors, “in cases in which the MCED test detects a cancer signal in this context, the probability of a diagnosis of cancer being made is considerably higher and may identify cancers at sites other than those suspected during the initial referral phase, thus reducing delays in diagnosis.” A negative test means a lower likelihood of cancer but not so low that proper investigation can be ruled out. Further tests will be needed to optimize use of a negative predictive value.
Q: Does MCED testing concern all types of cancer?
Dr. Delaloge: The Galleri test is based on full profiling of DNA methylation. This allows for early diagnosis of cancer even before it can be seen on imaging tests. The issue with these tests is that they aren’t that good at early diagnosis of the most common types of cancer (breast, colorectal, cervical, etc.) for which we already have more efficient means such as the fecal immunochemical test for colorectal cancer, mammography, HPV testing, and so on.
These blood tests would thus not be aimed at replacing routine screening but rather at screening asymptomatic individuals or those with nonspecific signs for cancers for which we have few or no screening measures and which are on the rise, such as deep tumors and cancer diagnosed at a late stage, namely pancreas, bile duct, ovarian, esophageal, lung, stomach, etc.
The results from the studies published are promising, but others are underway to confirm the benefit of these MCEDs. The challenge is to identify cancer at an early stage, at a stage where it will be easier to cure the patient and control its growth using treatments that are less onerous for the patient and that have fewer aftereffects but not at the expense of a massive increase in overdiagnosis, as seen with prostate-specific antigen levels in prostate cancer a few years ago!
Q: What would be the focus of these MCED tests?
Dr. Delaloge: We must be alert to the risk for the market development of MCED tests. For now, they are mostly, especially the Galleri test, developed in the general population to screen for types of cancer that could not be detected in any other way but also because it’s the most financially beneficial situation. The designers want to position themselves in the general population, regardless of whether this means they’ll have to test hundreds of people to find one for whom the test is beneficial. What’s more, developing tests in isolation, without considering their place in ad hoc treatment pathways, is not realistic. It’s likely that some of these tests will be marketed within the next 10 years, but the health care systems destined to receive them are not remotely ready to do so.
Q: An even more recent publication, from late July 2023, is even more exciting in relation to early detection of lung cancer using circulating DNA sequencing. What are your thoughts on it?
Dr. Delaloge: Initially overtaken by other technologies in favor of MCED approaches, DNA sequencing as a technique to detect somatic mutations seems to have reentered the competition with this new-generation research. The authors published some very interesting results, especially for stage I lung cancer with a very high sensitivity of 75%. [Editor’s note: A machine-learning model using genome-wide mutational profiles combined with other features and followed by CT imaging detected more than 90% of patients with lung cancer, including those with stage I and II disease.]
This research illustrates the difficulty of providing high performance while covering a broad range of cancers. Here, the good results mainly concern lung cancer. Researchers and health care authorities must be alert to ensuring that MCED tests prove themselves in terms of sensitivity and specificity in responding to a medical need and in their impact on specific mortality. This craze for MCED tests must not hinder the development of “single-cancer” technologies that may be much better for detecting specific cancers. This recent publication is interesting in this respect, because this sequencing test seems to be particularly good at detecting lung cancer.
Q: Another approach used in MCED tests is based on analyzing the size of DNA fragments in the blood. Can you explain how this works?
Dr. Delaloge: When cancer is not present, the size of DNA fragments in cells is much more homogeneous. Here also, the benefit of MCED based on this technique rests on the very early detection of cancers that are less common than those for which we already have good screening methods available.
Other approaches, still at the experimental stage, detect certain proteins, certain inflammatory molecules, RNA, etc. But for many researchers, the future will involve pairing tests on the basis of circulating DNA in the blood with the detection of specific molecules indicating the presence of cancer to obtain early screening tests that are even more effective or that possibly even allow us to identify an appropriate treatment at an early stage.
The development of a simple test based on a blood draw that allows us to screen early for all cancers and that would replace all current screening measures is, therefore, not imminent, although it could potentially be on the horizon in years to come. Alongside this, an important issue is the benefit of cancer screening in the general population vs. in a targeted population with a specific risk. The latter option is in development but requires an individualized screening pathway based on blood testing and current screening methods: imaging, etc. It also depends on an individual’s cancer risk profile such as age, personal and family medical history, genetic predisposition, and so on.
According to recent modeling, these multicancer tests could theoretically prevent a minimum of 2,000 deaths from cancer per 100,000 people between ages 50 and 79 years screened per year (17% fewer deaths from cancer per year).
This article was translated from the Medscape French Edition. A version appeared on Medscape.com.
Suzette Delaloge, MD, MSc, oncologist, breast cancer specialist, and director of the individualized cancer prevention program (Interception) at the Gustave Roussy Institute in Villejuif, France, looks into these “liquid biopsies” and shares her reservations about their potential marketing, especially to the organized care plans.
Question: What are the general principles underpinning these MCED tests?
Suzette Delaloge, MD, MSc: Despite their specificities, the general idea is to detect certain cancer markers in various body fluids (blood, urine, saliva, etc.), for example, molecules released by cancer cells (cytokines, inflammatory proteins, leptin, etc.) or distinctive features of the DNA in tumor cells. In blood, these molecules can be found in plasma or in serum. In urine, it’s more about detecting kidney, bladder, and urinary tract cancers.
Q: What sort of time frame are we looking at for these MCED tests to be used in routine practice?
Dr. Delaloge: They first appeared around 10 years ago. Development of these tests has intensified in recent years. There are numerous research laboratories, both public and private, that are developing different early-detection tests for cancer.
Some of these development processes are about to come to an end and are expected to be in regular, concrete use within 5-10 years. For the most advanced developments, the main biologic material researched and analyzed is DNA from cancer cells. We all have fragments of DNA from dead cells in our plasma (apoptosis), but cancer cells release more of these than others, and most importantly, their DNA has distinctive characteristics. The idea is to develop tests capable of detecting these characteristics.
Liquid biopsies based on genomic biomarkers could make MCED a reality, especially for cancers for which there is no standard screening process. But at this stage of the research, there are limitations, including low sensitivity for detecting stage I cancers in validation studies and an increased risk for overdiagnosis.
Q: What specific set of characteristics are the most advanced approaches based on?
Dr. Delaloge: They’re based on the analysis of DNA methylation, a biological process by which CH3 methyl groups are added to the DNA molecule and that determines gene expression. This phenomenon differs depending on whether the cell is cancerous. Among the tests currently under development making use of this specific characteristic is the Galleri test, which is the most advanced of them all.
A previous British National Health Service study, SYMPLIFY, which was published in 2023 by researchers at the University of Oxford, was conducted in symptomatic patients attending a health center. It offers promising results in a diagnostic situation. It has nothing at all to do with screening here. A large, randomized English study, NHS-Galleri, is underway, this time involving the general population, with the aim of assessing the potential benefit of the same test as screening in 140,000 people between ages 50 and 77 years.
In the SYMPLIFY study, which was carried out in symptomatic patients attending a health center, the Galleri MCED test had a positive predictive value of 75.5%, a negative predictive value of 97.6%, a sensitivity of 66.3%, and a specificity of 98.4%. Sensitivity increased with age and cancer stage from 24.2% at stage I to 95.3% at stage IV. For cases for which a cancer signal was detected in patients with cancer, the prediction of the original site of the cancer by the MCED test was accurate in 85.2% of cases. This large-scale prospective evaluation of an MCED diagnostic test confirms its feasibility in a symptomatic population but is not yet sufficiently accurate to “confirm or rule out the presence of cancer.” According to the authors, “in cases in which the MCED test detects a cancer signal in this context, the probability of a diagnosis of cancer being made is considerably higher and may identify cancers at sites other than those suspected during the initial referral phase, thus reducing delays in diagnosis.” A negative test means a lower likelihood of cancer but not so low that proper investigation can be ruled out. Further tests will be needed to optimize use of a negative predictive value.
Q: Does MCED testing concern all types of cancer?
Dr. Delaloge: The Galleri test is based on full profiling of DNA methylation. This allows for early diagnosis of cancer even before it can be seen on imaging tests. The issue with these tests is that they aren’t that good at early diagnosis of the most common types of cancer (breast, colorectal, cervical, etc.) for which we already have more efficient means such as the fecal immunochemical test for colorectal cancer, mammography, HPV testing, and so on.
These blood tests would thus not be aimed at replacing routine screening but rather at screening asymptomatic individuals or those with nonspecific signs for cancers for which we have few or no screening measures and which are on the rise, such as deep tumors and cancer diagnosed at a late stage, namely pancreas, bile duct, ovarian, esophageal, lung, stomach, etc.
The results from the studies published are promising, but others are underway to confirm the benefit of these MCEDs. The challenge is to identify cancer at an early stage, at a stage where it will be easier to cure the patient and control its growth using treatments that are less onerous for the patient and that have fewer aftereffects but not at the expense of a massive increase in overdiagnosis, as seen with prostate-specific antigen levels in prostate cancer a few years ago!
Q: What would be the focus of these MCED tests?
Dr. Delaloge: We must be alert to the risk for the market development of MCED tests. For now, they are mostly, especially the Galleri test, developed in the general population to screen for types of cancer that could not be detected in any other way but also because it’s the most financially beneficial situation. The designers want to position themselves in the general population, regardless of whether this means they’ll have to test hundreds of people to find one for whom the test is beneficial. What’s more, developing tests in isolation, without considering their place in ad hoc treatment pathways, is not realistic. It’s likely that some of these tests will be marketed within the next 10 years, but the health care systems destined to receive them are not remotely ready to do so.
Q: An even more recent publication, from late July 2023, is even more exciting in relation to early detection of lung cancer using circulating DNA sequencing. What are your thoughts on it?
Dr. Delaloge: Initially overtaken by other technologies in favor of MCED approaches, DNA sequencing as a technique to detect somatic mutations seems to have reentered the competition with this new-generation research. The authors published some very interesting results, especially for stage I lung cancer with a very high sensitivity of 75%. [Editor’s note: A machine-learning model using genome-wide mutational profiles combined with other features and followed by CT imaging detected more than 90% of patients with lung cancer, including those with stage I and II disease.]
This research illustrates the difficulty of providing high performance while covering a broad range of cancers. Here, the good results mainly concern lung cancer. Researchers and health care authorities must be alert to ensuring that MCED tests prove themselves in terms of sensitivity and specificity in responding to a medical need and in their impact on specific mortality. This craze for MCED tests must not hinder the development of “single-cancer” technologies that may be much better for detecting specific cancers. This recent publication is interesting in this respect, because this sequencing test seems to be particularly good at detecting lung cancer.
Q: Another approach used in MCED tests is based on analyzing the size of DNA fragments in the blood. Can you explain how this works?
Dr. Delaloge: When cancer is not present, the size of DNA fragments in cells is much more homogeneous. Here also, the benefit of MCED based on this technique rests on the very early detection of cancers that are less common than those for which we already have good screening methods available.
Other approaches, still at the experimental stage, detect certain proteins, certain inflammatory molecules, RNA, etc. But for many researchers, the future will involve pairing tests on the basis of circulating DNA in the blood with the detection of specific molecules indicating the presence of cancer to obtain early screening tests that are even more effective or that possibly even allow us to identify an appropriate treatment at an early stage.
The development of a simple test based on a blood draw that allows us to screen early for all cancers and that would replace all current screening measures is, therefore, not imminent, although it could potentially be on the horizon in years to come. Alongside this, an important issue is the benefit of cancer screening in the general population vs. in a targeted population with a specific risk. The latter option is in development but requires an individualized screening pathway based on blood testing and current screening methods: imaging, etc. It also depends on an individual’s cancer risk profile such as age, personal and family medical history, genetic predisposition, and so on.
According to recent modeling, these multicancer tests could theoretically prevent a minimum of 2,000 deaths from cancer per 100,000 people between ages 50 and 79 years screened per year (17% fewer deaths from cancer per year).
This article was translated from the Medscape French Edition. A version appeared on Medscape.com.
Suzette Delaloge, MD, MSc, oncologist, breast cancer specialist, and director of the individualized cancer prevention program (Interception) at the Gustave Roussy Institute in Villejuif, France, looks into these “liquid biopsies” and shares her reservations about their potential marketing, especially to the organized care plans.
Question: What are the general principles underpinning these MCED tests?
Suzette Delaloge, MD, MSc: Despite their specificities, the general idea is to detect certain cancer markers in various body fluids (blood, urine, saliva, etc.), for example, molecules released by cancer cells (cytokines, inflammatory proteins, leptin, etc.) or distinctive features of the DNA in tumor cells. In blood, these molecules can be found in plasma or in serum. In urine, it’s more about detecting kidney, bladder, and urinary tract cancers.
Q: What sort of time frame are we looking at for these MCED tests to be used in routine practice?
Dr. Delaloge: They first appeared around 10 years ago. Development of these tests has intensified in recent years. There are numerous research laboratories, both public and private, that are developing different early-detection tests for cancer.
Some of these development processes are about to come to an end and are expected to be in regular, concrete use within 5-10 years. For the most advanced developments, the main biologic material researched and analyzed is DNA from cancer cells. We all have fragments of DNA from dead cells in our plasma (apoptosis), but cancer cells release more of these than others, and most importantly, their DNA has distinctive characteristics. The idea is to develop tests capable of detecting these characteristics.
Liquid biopsies based on genomic biomarkers could make MCED a reality, especially for cancers for which there is no standard screening process. But at this stage of the research, there are limitations, including low sensitivity for detecting stage I cancers in validation studies and an increased risk for overdiagnosis.
Q: What specific set of characteristics are the most advanced approaches based on?
Dr. Delaloge: They’re based on the analysis of DNA methylation, a biological process by which CH3 methyl groups are added to the DNA molecule and that determines gene expression. This phenomenon differs depending on whether the cell is cancerous. Among the tests currently under development making use of this specific characteristic is the Galleri test, which is the most advanced of them all.
A previous British National Health Service study, SYMPLIFY, which was published in 2023 by researchers at the University of Oxford, was conducted in symptomatic patients attending a health center. It offers promising results in a diagnostic situation. It has nothing at all to do with screening here. A large, randomized English study, NHS-Galleri, is underway, this time involving the general population, with the aim of assessing the potential benefit of the same test as screening in 140,000 people between ages 50 and 77 years.
In the SYMPLIFY study, which was carried out in symptomatic patients attending a health center, the Galleri MCED test had a positive predictive value of 75.5%, a negative predictive value of 97.6%, a sensitivity of 66.3%, and a specificity of 98.4%. Sensitivity increased with age and cancer stage from 24.2% at stage I to 95.3% at stage IV. For cases for which a cancer signal was detected in patients with cancer, the prediction of the original site of the cancer by the MCED test was accurate in 85.2% of cases. This large-scale prospective evaluation of an MCED diagnostic test confirms its feasibility in a symptomatic population but is not yet sufficiently accurate to “confirm or rule out the presence of cancer.” According to the authors, “in cases in which the MCED test detects a cancer signal in this context, the probability of a diagnosis of cancer being made is considerably higher and may identify cancers at sites other than those suspected during the initial referral phase, thus reducing delays in diagnosis.” A negative test means a lower likelihood of cancer but not so low that proper investigation can be ruled out. Further tests will be needed to optimize use of a negative predictive value.
Q: Does MCED testing concern all types of cancer?
Dr. Delaloge: The Galleri test is based on full profiling of DNA methylation. This allows for early diagnosis of cancer even before it can be seen on imaging tests. The issue with these tests is that they aren’t that good at early diagnosis of the most common types of cancer (breast, colorectal, cervical, etc.) for which we already have more efficient means such as the fecal immunochemical test for colorectal cancer, mammography, HPV testing, and so on.
These blood tests would thus not be aimed at replacing routine screening but rather at screening asymptomatic individuals or those with nonspecific signs for cancers for which we have few or no screening measures and which are on the rise, such as deep tumors and cancer diagnosed at a late stage, namely pancreas, bile duct, ovarian, esophageal, lung, stomach, etc.
The results from the studies published are promising, but others are underway to confirm the benefit of these MCEDs. The challenge is to identify cancer at an early stage, at a stage where it will be easier to cure the patient and control its growth using treatments that are less onerous for the patient and that have fewer aftereffects but not at the expense of a massive increase in overdiagnosis, as seen with prostate-specific antigen levels in prostate cancer a few years ago!
Q: What would be the focus of these MCED tests?
Dr. Delaloge: We must be alert to the risk for the market development of MCED tests. For now, they are mostly, especially the Galleri test, developed in the general population to screen for types of cancer that could not be detected in any other way but also because it’s the most financially beneficial situation. The designers want to position themselves in the general population, regardless of whether this means they’ll have to test hundreds of people to find one for whom the test is beneficial. What’s more, developing tests in isolation, without considering their place in ad hoc treatment pathways, is not realistic. It’s likely that some of these tests will be marketed within the next 10 years, but the health care systems destined to receive them are not remotely ready to do so.
Q: An even more recent publication, from late July 2023, is even more exciting in relation to early detection of lung cancer using circulating DNA sequencing. What are your thoughts on it?
Dr. Delaloge: Initially overtaken by other technologies in favor of MCED approaches, DNA sequencing as a technique to detect somatic mutations seems to have reentered the competition with this new-generation research. The authors published some very interesting results, especially for stage I lung cancer with a very high sensitivity of 75%. [Editor’s note: A machine-learning model using genome-wide mutational profiles combined with other features and followed by CT imaging detected more than 90% of patients with lung cancer, including those with stage I and II disease.]
This research illustrates the difficulty of providing high performance while covering a broad range of cancers. Here, the good results mainly concern lung cancer. Researchers and health care authorities must be alert to ensuring that MCED tests prove themselves in terms of sensitivity and specificity in responding to a medical need and in their impact on specific mortality. This craze for MCED tests must not hinder the development of “single-cancer” technologies that may be much better for detecting specific cancers. This recent publication is interesting in this respect, because this sequencing test seems to be particularly good at detecting lung cancer.
Q: Another approach used in MCED tests is based on analyzing the size of DNA fragments in the blood. Can you explain how this works?
Dr. Delaloge: When cancer is not present, the size of DNA fragments in cells is much more homogeneous. Here also, the benefit of MCED based on this technique rests on the very early detection of cancers that are less common than those for which we already have good screening methods available.
Other approaches, still at the experimental stage, detect certain proteins, certain inflammatory molecules, RNA, etc. But for many researchers, the future will involve pairing tests on the basis of circulating DNA in the blood with the detection of specific molecules indicating the presence of cancer to obtain early screening tests that are even more effective or that possibly even allow us to identify an appropriate treatment at an early stage.
The development of a simple test based on a blood draw that allows us to screen early for all cancers and that would replace all current screening measures is, therefore, not imminent, although it could potentially be on the horizon in years to come. Alongside this, an important issue is the benefit of cancer screening in the general population vs. in a targeted population with a specific risk. The latter option is in development but requires an individualized screening pathway based on blood testing and current screening methods: imaging, etc. It also depends on an individual’s cancer risk profile such as age, personal and family medical history, genetic predisposition, and so on.
According to recent modeling, these multicancer tests could theoretically prevent a minimum of 2,000 deaths from cancer per 100,000 people between ages 50 and 79 years screened per year (17% fewer deaths from cancer per year).
This article was translated from the Medscape French Edition. A version appeared on Medscape.com.