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Gut microbiome could make weight loss easier for some
Researchers found that the gut microbiome – the bacteria that help digest food and absorb nutrients in the intestines – can influence attempts at weight loss.
They identified genes within these bacteria that determine how quickly the bacteria grow, how well people can take advantage of nutrients in food, and whether starches and fiber, in particular, get broken down into sugars too quickly to aid weight loss.
“Some people have a harder time losing weight than others,” study author Sean Gibbons, PhD, told this news organization. “For example, some people are able to control their weight through basic lifestyle interventions, while others may not.”
Furthermore, it is difficult to predict which individuals will respond to changes in diet or exercise and who might require more intense strategies.
The study, which was published online September 14 in mSystems, a journal of the American Society for Microbiology, could bring us closer to an answer.
“We’ve identified specific genetic signatures in the gut microbiome that were predictive of weight loss response in a small cohort of patients following a healthy lifestyle intervention,” explained Dr. Gibbons, Washington Research Foundation distinguished investigator and assistant professor at the Institute for Systems Biology in Seattle.
Weight loss takes guts?
Differences in 31 functional genes emerged from the gut microbiome in 48 people who lost 1% or more of their weight each month compared with 57 others whose weight remained the same. These findings came from stool samples taken 6 to 12 months after people started a commercial weight loss coaching program.
In contrast, lead author Christian Diener, PhD, also of the Institute for Systems Biology, and colleagues found only one factor in the blood that differed between the weight loss and weight maintenance groups. (They specifically evaluated proteins associated with obesity in the blood and genetic data from stool samples in a subset of 25 participants.)
Their findings align with previous research showing different types of bacteria in the gut microbiome can affect the success of weight loss interventions, but they took it a step further to determine how this works.
“We know that the gut microbiome plays an important role in weight management and can also influence a response to weight loss interventions. However, specific gut microbiome features that can explain this observation in more detail are still to be discovered,” Hana Kahleova, MD, PhD, MBA, director of clinical research at the Physicians Committee for Responsible Medicine in Washington, D.C., told this news organization when asked for comment.
Good versus bad players
On the plus side, genes that help bacteria grow more rapidly were associated with weight loss. These bacteria take more of the nutrients in food for themselves, leaving less to go toward human weight gain compared with slower growing bacteria.
In fact, prior evidence points to a particular gut bacteria, Prevotella, as being beneficial for weight loss. “In our study,” Dr. Gibbons said, “we found that some of the fastest-growing microbes in the weight-loss responder group were from the genus Prevotella.”
On the other hand, bacteria that produce more enzymes to breakdown starches or fiber quickly into sugars, for example, were linked with making people more resistant to weight loss.
“By understanding these functional patterns, we may one day be able to engineer resistant microbiomes to be more permissive to weight loss,” Dr. Gibbons said.
Dr. Kahleova agreed. “These findings expand our understanding of the specific features of the gut microbiome that play a role in weight loss,” she said.
Moving beyond BMI
Interestingly, the researchers controlled for baseline body mass index (BMI) and other factors that could affect weight loss. People who start off with a higher BMI tend to lose more weight than others, a phenomenon known as ‘regression to the mean.” This factor confounded some earlier research, they noted.
“The vast majority of features associated with weight loss, independent of BMI, were functional genes within the gut metagenome,” Dr. Gibbons said.
“This tells us that the gut microbiome is an important modulator of weight loss, independent of your underlying metabolic health state, baseline diet, or BMI status.”
“This study described several metagenomic functional features that were associated with weight loss after controlling for potential confounders, such as age, sex, and baseline BMI,” Dr. Kahleova said. “These findings ... may help optimize the weight-loss protocols in future studies.”
Fecal microbiota transplants?
What do the findings mean for people willing to adjust their diet – or undergo a fecal transplant – to include more of the gut bacteria that facilitate weight loss?
It could be too soon for such interventions, Dr. Gibbons said. “It is still very difficult to rationally engineer your gut microbiome.”
“Interestingly, a recent study suggests that fecal transplants from a high-Prevotella donor may be able to flip low-Prevotella recipients to high-Prevotella,” Dr. Gibbons said.
More research is required, however, to understand whether or not these fecal microbial transplant-flipped individuals are also more capable of weight loss, he added.
Beyond that, “I can’t give any specific recommendations, other than that [people] should eat more fiber-rich, plant-based, whole foods and reduce their consumption of red meat. That’s well-supported.”
“Also, prepare your own meals, rather than relying on sugar and sodium-rich processed foods,” Dr. Gibbons said.
Dr. Gibbons and his team hope to validate their work in larger human studies “and perhaps develop clinical diagnostics or interventions for people trying to lose weight.”
A version of this article first appeared on Medscape.com.
Researchers found that the gut microbiome – the bacteria that help digest food and absorb nutrients in the intestines – can influence attempts at weight loss.
They identified genes within these bacteria that determine how quickly the bacteria grow, how well people can take advantage of nutrients in food, and whether starches and fiber, in particular, get broken down into sugars too quickly to aid weight loss.
“Some people have a harder time losing weight than others,” study author Sean Gibbons, PhD, told this news organization. “For example, some people are able to control their weight through basic lifestyle interventions, while others may not.”
Furthermore, it is difficult to predict which individuals will respond to changes in diet or exercise and who might require more intense strategies.
The study, which was published online September 14 in mSystems, a journal of the American Society for Microbiology, could bring us closer to an answer.
“We’ve identified specific genetic signatures in the gut microbiome that were predictive of weight loss response in a small cohort of patients following a healthy lifestyle intervention,” explained Dr. Gibbons, Washington Research Foundation distinguished investigator and assistant professor at the Institute for Systems Biology in Seattle.
Weight loss takes guts?
Differences in 31 functional genes emerged from the gut microbiome in 48 people who lost 1% or more of their weight each month compared with 57 others whose weight remained the same. These findings came from stool samples taken 6 to 12 months after people started a commercial weight loss coaching program.
In contrast, lead author Christian Diener, PhD, also of the Institute for Systems Biology, and colleagues found only one factor in the blood that differed between the weight loss and weight maintenance groups. (They specifically evaluated proteins associated with obesity in the blood and genetic data from stool samples in a subset of 25 participants.)
Their findings align with previous research showing different types of bacteria in the gut microbiome can affect the success of weight loss interventions, but they took it a step further to determine how this works.
“We know that the gut microbiome plays an important role in weight management and can also influence a response to weight loss interventions. However, specific gut microbiome features that can explain this observation in more detail are still to be discovered,” Hana Kahleova, MD, PhD, MBA, director of clinical research at the Physicians Committee for Responsible Medicine in Washington, D.C., told this news organization when asked for comment.
Good versus bad players
On the plus side, genes that help bacteria grow more rapidly were associated with weight loss. These bacteria take more of the nutrients in food for themselves, leaving less to go toward human weight gain compared with slower growing bacteria.
In fact, prior evidence points to a particular gut bacteria, Prevotella, as being beneficial for weight loss. “In our study,” Dr. Gibbons said, “we found that some of the fastest-growing microbes in the weight-loss responder group were from the genus Prevotella.”
On the other hand, bacteria that produce more enzymes to breakdown starches or fiber quickly into sugars, for example, were linked with making people more resistant to weight loss.
“By understanding these functional patterns, we may one day be able to engineer resistant microbiomes to be more permissive to weight loss,” Dr. Gibbons said.
Dr. Kahleova agreed. “These findings expand our understanding of the specific features of the gut microbiome that play a role in weight loss,” she said.
Moving beyond BMI
Interestingly, the researchers controlled for baseline body mass index (BMI) and other factors that could affect weight loss. People who start off with a higher BMI tend to lose more weight than others, a phenomenon known as ‘regression to the mean.” This factor confounded some earlier research, they noted.
“The vast majority of features associated with weight loss, independent of BMI, were functional genes within the gut metagenome,” Dr. Gibbons said.
“This tells us that the gut microbiome is an important modulator of weight loss, independent of your underlying metabolic health state, baseline diet, or BMI status.”
“This study described several metagenomic functional features that were associated with weight loss after controlling for potential confounders, such as age, sex, and baseline BMI,” Dr. Kahleova said. “These findings ... may help optimize the weight-loss protocols in future studies.”
Fecal microbiota transplants?
What do the findings mean for people willing to adjust their diet – or undergo a fecal transplant – to include more of the gut bacteria that facilitate weight loss?
It could be too soon for such interventions, Dr. Gibbons said. “It is still very difficult to rationally engineer your gut microbiome.”
“Interestingly, a recent study suggests that fecal transplants from a high-Prevotella donor may be able to flip low-Prevotella recipients to high-Prevotella,” Dr. Gibbons said.
More research is required, however, to understand whether or not these fecal microbial transplant-flipped individuals are also more capable of weight loss, he added.
Beyond that, “I can’t give any specific recommendations, other than that [people] should eat more fiber-rich, plant-based, whole foods and reduce their consumption of red meat. That’s well-supported.”
“Also, prepare your own meals, rather than relying on sugar and sodium-rich processed foods,” Dr. Gibbons said.
Dr. Gibbons and his team hope to validate their work in larger human studies “and perhaps develop clinical diagnostics or interventions for people trying to lose weight.”
A version of this article first appeared on Medscape.com.
Researchers found that the gut microbiome – the bacteria that help digest food and absorb nutrients in the intestines – can influence attempts at weight loss.
They identified genes within these bacteria that determine how quickly the bacteria grow, how well people can take advantage of nutrients in food, and whether starches and fiber, in particular, get broken down into sugars too quickly to aid weight loss.
“Some people have a harder time losing weight than others,” study author Sean Gibbons, PhD, told this news organization. “For example, some people are able to control their weight through basic lifestyle interventions, while others may not.”
Furthermore, it is difficult to predict which individuals will respond to changes in diet or exercise and who might require more intense strategies.
The study, which was published online September 14 in mSystems, a journal of the American Society for Microbiology, could bring us closer to an answer.
“We’ve identified specific genetic signatures in the gut microbiome that were predictive of weight loss response in a small cohort of patients following a healthy lifestyle intervention,” explained Dr. Gibbons, Washington Research Foundation distinguished investigator and assistant professor at the Institute for Systems Biology in Seattle.
Weight loss takes guts?
Differences in 31 functional genes emerged from the gut microbiome in 48 people who lost 1% or more of their weight each month compared with 57 others whose weight remained the same. These findings came from stool samples taken 6 to 12 months after people started a commercial weight loss coaching program.
In contrast, lead author Christian Diener, PhD, also of the Institute for Systems Biology, and colleagues found only one factor in the blood that differed between the weight loss and weight maintenance groups. (They specifically evaluated proteins associated with obesity in the blood and genetic data from stool samples in a subset of 25 participants.)
Their findings align with previous research showing different types of bacteria in the gut microbiome can affect the success of weight loss interventions, but they took it a step further to determine how this works.
“We know that the gut microbiome plays an important role in weight management and can also influence a response to weight loss interventions. However, specific gut microbiome features that can explain this observation in more detail are still to be discovered,” Hana Kahleova, MD, PhD, MBA, director of clinical research at the Physicians Committee for Responsible Medicine in Washington, D.C., told this news organization when asked for comment.
Good versus bad players
On the plus side, genes that help bacteria grow more rapidly were associated with weight loss. These bacteria take more of the nutrients in food for themselves, leaving less to go toward human weight gain compared with slower growing bacteria.
In fact, prior evidence points to a particular gut bacteria, Prevotella, as being beneficial for weight loss. “In our study,” Dr. Gibbons said, “we found that some of the fastest-growing microbes in the weight-loss responder group were from the genus Prevotella.”
On the other hand, bacteria that produce more enzymes to breakdown starches or fiber quickly into sugars, for example, were linked with making people more resistant to weight loss.
“By understanding these functional patterns, we may one day be able to engineer resistant microbiomes to be more permissive to weight loss,” Dr. Gibbons said.
Dr. Kahleova agreed. “These findings expand our understanding of the specific features of the gut microbiome that play a role in weight loss,” she said.
Moving beyond BMI
Interestingly, the researchers controlled for baseline body mass index (BMI) and other factors that could affect weight loss. People who start off with a higher BMI tend to lose more weight than others, a phenomenon known as ‘regression to the mean.” This factor confounded some earlier research, they noted.
“The vast majority of features associated with weight loss, independent of BMI, were functional genes within the gut metagenome,” Dr. Gibbons said.
“This tells us that the gut microbiome is an important modulator of weight loss, independent of your underlying metabolic health state, baseline diet, or BMI status.”
“This study described several metagenomic functional features that were associated with weight loss after controlling for potential confounders, such as age, sex, and baseline BMI,” Dr. Kahleova said. “These findings ... may help optimize the weight-loss protocols in future studies.”
Fecal microbiota transplants?
What do the findings mean for people willing to adjust their diet – or undergo a fecal transplant – to include more of the gut bacteria that facilitate weight loss?
It could be too soon for such interventions, Dr. Gibbons said. “It is still very difficult to rationally engineer your gut microbiome.”
“Interestingly, a recent study suggests that fecal transplants from a high-Prevotella donor may be able to flip low-Prevotella recipients to high-Prevotella,” Dr. Gibbons said.
More research is required, however, to understand whether or not these fecal microbial transplant-flipped individuals are also more capable of weight loss, he added.
Beyond that, “I can’t give any specific recommendations, other than that [people] should eat more fiber-rich, plant-based, whole foods and reduce their consumption of red meat. That’s well-supported.”
“Also, prepare your own meals, rather than relying on sugar and sodium-rich processed foods,” Dr. Gibbons said.
Dr. Gibbons and his team hope to validate their work in larger human studies “and perhaps develop clinical diagnostics or interventions for people trying to lose weight.”
A version of this article first appeared on Medscape.com.
Researchers warn young adults are at highest risk of obesity
Individuals aged 18-24 years are at the highest risk of weight gain and developing overweight or obesity over the next 10 years, compared with all other adults, and should be a target for obesity prevention policies, say U.K. researchers.
The research, published online Sept. 2, 2021, in The Lancet Diabetes and Endocrinology, showed that factors more traditionally associated with obesity – such as socioeconomic status and ethnicity – play less of a role than age.
“Our results show clearly that age is the most important sociodemographic factor for BMI [body mass index] change,” lead author Michail Katsoulis, PhD, Institute of Health Informatics, University College London, said in a press release.
Cosenior author Claudia Langenberg, PhD, agreed, adding young people “go through big life changes. They may start work, go to university, or leave home for the first time,” and the habits formed during these years “may stick through adulthood.”
Current obesity prevention guidelines are mainly directed at individuals who already have obesity, the researchers said in their article.
“As the evidence presented in our study suggests, the opportunity to modify weight gain is greatest in individuals who are young and do not yet have obesity,” they observed.
“If we are serious about preventing obesity, then we should develop interventions that can be targeted and are relevant for young adults,” added Dr. Langenberg, of the MRC Epidemiology Unit, University of Cambridge, (England), and Berlin Institute of Health.
Risks for higher BMI substantially greater in the youngest adults
The researchers gathered data on more than 2 million adults aged 18-74 years registered with general practitioners in England. Participants had BMI and weight measurements recorded between Jan. 1, 1998, and June 30, 2016, with at least 1 year of follow-up. Overall, 58% were women, 76% were White, 9% had prevalent cardiovascular disease, and 4% had prevalent cancer.
Changes in BMI were assessed at 1 year, 5 years, and 10 years.
At 10 years, adults aged 18-24 years had the highest risk of transitioning from normal weight to overweight or obesity, compared with adults aged 65-74 years, at a greatest absolute risk of 37% versus 24% (odds ratio, 4.22).
Moreover, the results showed that adults aged 18-24 years who were already overweight or obese had a greater risk of transitioning to a higher BMI category during follow-up versus the oldest participants.
They had an absolute risk of 42% versus 18% of transitioning from overweight to class 1 and 2 obesity (OR, 4.60), and an absolute risk of transitioning from class 1 and 2 obesity to class 3 obesity of 22% versus 5% (OR, 5.87).
Online risk calculator and YouTube video help explain findings
While factors other than age were associated with transitioning to a higher BMI category, the association was less pronounced.
For example, the OR of transitioning from normal weight to overweight or obesity in the most socially deprived versus the least deprived areas was 1.23 in men and 1.12 in women. The OR for making the same transition in Black versus White individuals was 1.13.
The findings allowed the researchers to develop a series of nomograms to determine an individual’s absolute risk of transitioning to a higher BMI category over 10 years based on their baseline BMI category, age, sex, and Index of Multiple Deprivation quintile.
“We show that, within each stratum, the risks for transitioning to higher BMI categories were substantially higher in the youngest adult age group than in older age groups,” the team writes.
From this, they developed an open-access online risk calculator to help individuals calculate their risk of weight change over the next 1, 5, and 10 years. The calculator takes into account current weight, height, age, sex, ethnicity, and socioeconomic-area characteristics.
They have also posted a video on YouTube to help explain their findings.
COVID and obesity pandemics collide
Cosenior author Harry Hemingway, MD, PhD, also of University College London, believes that focusing on this young age group is especially critical now because of the COVID-19 pandemic.
“Calculating personal risk of transitioning to a higher weight category is important” as COVID-19 “collides with the obesity pandemic,” he said, noting that “people are exercising less and finding it harder to eat healthy diets during lockdowns.
“Health systems like the NHS [National Health Service] need to identify new ways to prevent obesity and its consequences,” he continued. “This study demonstrates that NHS data collected over time in primary care holds an important key to unlocking new insights for public health action.”
The study was funded by the British Heart Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research. The authors reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Individuals aged 18-24 years are at the highest risk of weight gain and developing overweight or obesity over the next 10 years, compared with all other adults, and should be a target for obesity prevention policies, say U.K. researchers.
The research, published online Sept. 2, 2021, in The Lancet Diabetes and Endocrinology, showed that factors more traditionally associated with obesity – such as socioeconomic status and ethnicity – play less of a role than age.
“Our results show clearly that age is the most important sociodemographic factor for BMI [body mass index] change,” lead author Michail Katsoulis, PhD, Institute of Health Informatics, University College London, said in a press release.
Cosenior author Claudia Langenberg, PhD, agreed, adding young people “go through big life changes. They may start work, go to university, or leave home for the first time,” and the habits formed during these years “may stick through adulthood.”
Current obesity prevention guidelines are mainly directed at individuals who already have obesity, the researchers said in their article.
“As the evidence presented in our study suggests, the opportunity to modify weight gain is greatest in individuals who are young and do not yet have obesity,” they observed.
“If we are serious about preventing obesity, then we should develop interventions that can be targeted and are relevant for young adults,” added Dr. Langenberg, of the MRC Epidemiology Unit, University of Cambridge, (England), and Berlin Institute of Health.
Risks for higher BMI substantially greater in the youngest adults
The researchers gathered data on more than 2 million adults aged 18-74 years registered with general practitioners in England. Participants had BMI and weight measurements recorded between Jan. 1, 1998, and June 30, 2016, with at least 1 year of follow-up. Overall, 58% were women, 76% were White, 9% had prevalent cardiovascular disease, and 4% had prevalent cancer.
Changes in BMI were assessed at 1 year, 5 years, and 10 years.
At 10 years, adults aged 18-24 years had the highest risk of transitioning from normal weight to overweight or obesity, compared with adults aged 65-74 years, at a greatest absolute risk of 37% versus 24% (odds ratio, 4.22).
Moreover, the results showed that adults aged 18-24 years who were already overweight or obese had a greater risk of transitioning to a higher BMI category during follow-up versus the oldest participants.
They had an absolute risk of 42% versus 18% of transitioning from overweight to class 1 and 2 obesity (OR, 4.60), and an absolute risk of transitioning from class 1 and 2 obesity to class 3 obesity of 22% versus 5% (OR, 5.87).
Online risk calculator and YouTube video help explain findings
While factors other than age were associated with transitioning to a higher BMI category, the association was less pronounced.
For example, the OR of transitioning from normal weight to overweight or obesity in the most socially deprived versus the least deprived areas was 1.23 in men and 1.12 in women. The OR for making the same transition in Black versus White individuals was 1.13.
The findings allowed the researchers to develop a series of nomograms to determine an individual’s absolute risk of transitioning to a higher BMI category over 10 years based on their baseline BMI category, age, sex, and Index of Multiple Deprivation quintile.
“We show that, within each stratum, the risks for transitioning to higher BMI categories were substantially higher in the youngest adult age group than in older age groups,” the team writes.
From this, they developed an open-access online risk calculator to help individuals calculate their risk of weight change over the next 1, 5, and 10 years. The calculator takes into account current weight, height, age, sex, ethnicity, and socioeconomic-area characteristics.
They have also posted a video on YouTube to help explain their findings.
COVID and obesity pandemics collide
Cosenior author Harry Hemingway, MD, PhD, also of University College London, believes that focusing on this young age group is especially critical now because of the COVID-19 pandemic.
“Calculating personal risk of transitioning to a higher weight category is important” as COVID-19 “collides with the obesity pandemic,” he said, noting that “people are exercising less and finding it harder to eat healthy diets during lockdowns.
“Health systems like the NHS [National Health Service] need to identify new ways to prevent obesity and its consequences,” he continued. “This study demonstrates that NHS data collected over time in primary care holds an important key to unlocking new insights for public health action.”
The study was funded by the British Heart Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research. The authors reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Individuals aged 18-24 years are at the highest risk of weight gain and developing overweight or obesity over the next 10 years, compared with all other adults, and should be a target for obesity prevention policies, say U.K. researchers.
The research, published online Sept. 2, 2021, in The Lancet Diabetes and Endocrinology, showed that factors more traditionally associated with obesity – such as socioeconomic status and ethnicity – play less of a role than age.
“Our results show clearly that age is the most important sociodemographic factor for BMI [body mass index] change,” lead author Michail Katsoulis, PhD, Institute of Health Informatics, University College London, said in a press release.
Cosenior author Claudia Langenberg, PhD, agreed, adding young people “go through big life changes. They may start work, go to university, or leave home for the first time,” and the habits formed during these years “may stick through adulthood.”
Current obesity prevention guidelines are mainly directed at individuals who already have obesity, the researchers said in their article.
“As the evidence presented in our study suggests, the opportunity to modify weight gain is greatest in individuals who are young and do not yet have obesity,” they observed.
“If we are serious about preventing obesity, then we should develop interventions that can be targeted and are relevant for young adults,” added Dr. Langenberg, of the MRC Epidemiology Unit, University of Cambridge, (England), and Berlin Institute of Health.
Risks for higher BMI substantially greater in the youngest adults
The researchers gathered data on more than 2 million adults aged 18-74 years registered with general practitioners in England. Participants had BMI and weight measurements recorded between Jan. 1, 1998, and June 30, 2016, with at least 1 year of follow-up. Overall, 58% were women, 76% were White, 9% had prevalent cardiovascular disease, and 4% had prevalent cancer.
Changes in BMI were assessed at 1 year, 5 years, and 10 years.
At 10 years, adults aged 18-24 years had the highest risk of transitioning from normal weight to overweight or obesity, compared with adults aged 65-74 years, at a greatest absolute risk of 37% versus 24% (odds ratio, 4.22).
Moreover, the results showed that adults aged 18-24 years who were already overweight or obese had a greater risk of transitioning to a higher BMI category during follow-up versus the oldest participants.
They had an absolute risk of 42% versus 18% of transitioning from overweight to class 1 and 2 obesity (OR, 4.60), and an absolute risk of transitioning from class 1 and 2 obesity to class 3 obesity of 22% versus 5% (OR, 5.87).
Online risk calculator and YouTube video help explain findings
While factors other than age were associated with transitioning to a higher BMI category, the association was less pronounced.
For example, the OR of transitioning from normal weight to overweight or obesity in the most socially deprived versus the least deprived areas was 1.23 in men and 1.12 in women. The OR for making the same transition in Black versus White individuals was 1.13.
The findings allowed the researchers to develop a series of nomograms to determine an individual’s absolute risk of transitioning to a higher BMI category over 10 years based on their baseline BMI category, age, sex, and Index of Multiple Deprivation quintile.
“We show that, within each stratum, the risks for transitioning to higher BMI categories were substantially higher in the youngest adult age group than in older age groups,” the team writes.
From this, they developed an open-access online risk calculator to help individuals calculate their risk of weight change over the next 1, 5, and 10 years. The calculator takes into account current weight, height, age, sex, ethnicity, and socioeconomic-area characteristics.
They have also posted a video on YouTube to help explain their findings.
COVID and obesity pandemics collide
Cosenior author Harry Hemingway, MD, PhD, also of University College London, believes that focusing on this young age group is especially critical now because of the COVID-19 pandemic.
“Calculating personal risk of transitioning to a higher weight category is important” as COVID-19 “collides with the obesity pandemic,” he said, noting that “people are exercising less and finding it harder to eat healthy diets during lockdowns.
“Health systems like the NHS [National Health Service] need to identify new ways to prevent obesity and its consequences,” he continued. “This study demonstrates that NHS data collected over time in primary care holds an important key to unlocking new insights for public health action.”
The study was funded by the British Heart Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research. The authors reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Weight-loss surgery linked to fewer cardiovascular events, more so with RYGB
Those are the key findings of a retrospective analysis of a large group of patients who received care at the Cleveland Clinic between 1998 and 2017. MACE is defined as first occurrence of coronary artery events, cerebrovascular events, heart failure, nephropathy, atrial fibrillation, and all-cause mortality.
“I think what it tells us is that, in making these choices and in counseling patients about the potential advantages of undergoing bariatric surgery for their obesity and diabetes, that they should know that they’re more likely to be protected by a Roux-en-Y gastric bypass, although certainly sleeve gastrectomy is effective,” said study coauthor Steven E. Nissen, MD, who is the chief academic officer of the Heart and Vascular Institute at the Cleveland Clinic.
Previous studies have shown a benefit to metabolic surgery in patients with type 2 diabetes and obesity, improving diabetes control and altering cardiometabolic risk factors. Others have shown a link between surgery and reduced mortality. Most studies examined the impact of RYGB. SG is a newer procedure, but its relative simplicity and lower complication rate have helped it become the most commonly performed metabolic surgery in the world.
“There was no study to compare gastric bypass and sleeve gastrectomy head to head in terms of reduction in risk of cardiovascular disease. There are studies comparing these two procedures for diabetes control and weight loss, but not specifically in terms of effects on their risk of developing cardiovascular disease. That’s the unique feature of this study,” said lead author Ali Aminian, MD, who is director of the Bariatric and Metabolic Institute at the Cleveland Clinic.
The researchers included 2,287 adults with type 2 diabetes and a body mass index of at least 30 kg/m2, with no history of solid organ transplant, severe heart failure, or active cancer. 1,362 underwent RYGB, and 693 SG. Outcomes were compared with 11,435 matched nonsurgical patients.
At 5 years, 13.7% of the RYGB group experienced a MACE (95% confidence interval, 11.4-15.9), compared with 24.7% of the SG group for a relative reduction of 33% (95% CI, 19.0-30.0; adjusted hazard ratio, 0.77; P = .035). The nonsurgical group had a 5-year MACE incidence of 30.4% (95% CI, 29.4-31.5). Compared with usual care, the risk of MACE was lower in both the RYGB group (HR, 0.53; P < .001) and the SG group (HR, 0.69; P < .001). The researchers also analyzed the cumulative incidence of all-cause mortality, myocardial infarction, and ischemic stroke (three-component MACE) at 5 years. The cumulative incidence of three-component MACE at 5 years was 15.5% in the usual care group, 6.4% in the RYGB group (HR, 0.53 versus usual care; P < .001) and 11.8% in the SG group (HR vs. usual care, 0.65; P = .006).
The RYGB group had less nephropathy at 5 years (2.8% vs. 8.3%; HR, 0.47; P = .005), and experienced a greater reduction in weight, glycated hemoglobin, and diabetes and cardiovascular medication use. At 5 years, RYGB was associated with a higher frequency of upper endoscopy (45.8% vs. 35.6%, P < .001) and abdominal surgical procedures (10.8% vs. 5.4%, P = .001), compared with SG.
“Both procedures are extremely safe and extremely effective,” said Dr. Aminian. He pointed out the need to consider multiple factors when choosing between the procedures, including overall health, weight, comorbidities, and the patient’s values and goals.
A few factors may be contraindicated for one procedure or another. The sleeve may worsen severe reflux disease, while the gastric bypass may interfere more with absorption of psychiatric medications. Some patients may have multiple comorbidities that could point to a less risky procedure. “Decision-making should not be solely based on findings of this study. All these conditions need to be considered when patients and surgeons make a final decision about the most appropriate procedure,” said Dr. Aminian.
Dr. Nissen noted that the associations were wide ranging, including classic outcomes like death, stroke, and heart failure, but also extending to heart failure, coronary events, cerebral vascular events, nephropathy, and atrial fibrillation. “I found the nephropathy results to be amongst the most striking, that Roux-en-Y really dramatically reduced the risk of neuropathy,” he added. That’s a particularly important point because end-stage renal disease is a common cause of diabetes mortality.
Dr. Nissen acknowledged the limitations of the retrospective nature of the study, though he feels confident that the relationships are causal. “Bariatric surgery desperately needs a randomized, controlled trial, where both groups get intensive dietary and lifestyle counseling, but one group gets metabolic surgery and the other doesn’t. Given the dramatic effects in diabetic patients of reducing their hemoglobin A1c in a sustained way, reducing their body weight. We think these are very strong data to suggest that we have a major reduction in all the endpoints. If we’re right about this, the randomized controlled trial will show that dramatic effect, and will convince even the skeptics that metabolic surgery is the best way to go.”
Those are the key findings of a retrospective analysis of a large group of patients who received care at the Cleveland Clinic between 1998 and 2017. MACE is defined as first occurrence of coronary artery events, cerebrovascular events, heart failure, nephropathy, atrial fibrillation, and all-cause mortality.
“I think what it tells us is that, in making these choices and in counseling patients about the potential advantages of undergoing bariatric surgery for their obesity and diabetes, that they should know that they’re more likely to be protected by a Roux-en-Y gastric bypass, although certainly sleeve gastrectomy is effective,” said study coauthor Steven E. Nissen, MD, who is the chief academic officer of the Heart and Vascular Institute at the Cleveland Clinic.
Previous studies have shown a benefit to metabolic surgery in patients with type 2 diabetes and obesity, improving diabetes control and altering cardiometabolic risk factors. Others have shown a link between surgery and reduced mortality. Most studies examined the impact of RYGB. SG is a newer procedure, but its relative simplicity and lower complication rate have helped it become the most commonly performed metabolic surgery in the world.
“There was no study to compare gastric bypass and sleeve gastrectomy head to head in terms of reduction in risk of cardiovascular disease. There are studies comparing these two procedures for diabetes control and weight loss, but not specifically in terms of effects on their risk of developing cardiovascular disease. That’s the unique feature of this study,” said lead author Ali Aminian, MD, who is director of the Bariatric and Metabolic Institute at the Cleveland Clinic.
The researchers included 2,287 adults with type 2 diabetes and a body mass index of at least 30 kg/m2, with no history of solid organ transplant, severe heart failure, or active cancer. 1,362 underwent RYGB, and 693 SG. Outcomes were compared with 11,435 matched nonsurgical patients.
At 5 years, 13.7% of the RYGB group experienced a MACE (95% confidence interval, 11.4-15.9), compared with 24.7% of the SG group for a relative reduction of 33% (95% CI, 19.0-30.0; adjusted hazard ratio, 0.77; P = .035). The nonsurgical group had a 5-year MACE incidence of 30.4% (95% CI, 29.4-31.5). Compared with usual care, the risk of MACE was lower in both the RYGB group (HR, 0.53; P < .001) and the SG group (HR, 0.69; P < .001). The researchers also analyzed the cumulative incidence of all-cause mortality, myocardial infarction, and ischemic stroke (three-component MACE) at 5 years. The cumulative incidence of three-component MACE at 5 years was 15.5% in the usual care group, 6.4% in the RYGB group (HR, 0.53 versus usual care; P < .001) and 11.8% in the SG group (HR vs. usual care, 0.65; P = .006).
The RYGB group had less nephropathy at 5 years (2.8% vs. 8.3%; HR, 0.47; P = .005), and experienced a greater reduction in weight, glycated hemoglobin, and diabetes and cardiovascular medication use. At 5 years, RYGB was associated with a higher frequency of upper endoscopy (45.8% vs. 35.6%, P < .001) and abdominal surgical procedures (10.8% vs. 5.4%, P = .001), compared with SG.
“Both procedures are extremely safe and extremely effective,” said Dr. Aminian. He pointed out the need to consider multiple factors when choosing between the procedures, including overall health, weight, comorbidities, and the patient’s values and goals.
A few factors may be contraindicated for one procedure or another. The sleeve may worsen severe reflux disease, while the gastric bypass may interfere more with absorption of psychiatric medications. Some patients may have multiple comorbidities that could point to a less risky procedure. “Decision-making should not be solely based on findings of this study. All these conditions need to be considered when patients and surgeons make a final decision about the most appropriate procedure,” said Dr. Aminian.
Dr. Nissen noted that the associations were wide ranging, including classic outcomes like death, stroke, and heart failure, but also extending to heart failure, coronary events, cerebral vascular events, nephropathy, and atrial fibrillation. “I found the nephropathy results to be amongst the most striking, that Roux-en-Y really dramatically reduced the risk of neuropathy,” he added. That’s a particularly important point because end-stage renal disease is a common cause of diabetes mortality.
Dr. Nissen acknowledged the limitations of the retrospective nature of the study, though he feels confident that the relationships are causal. “Bariatric surgery desperately needs a randomized, controlled trial, where both groups get intensive dietary and lifestyle counseling, but one group gets metabolic surgery and the other doesn’t. Given the dramatic effects in diabetic patients of reducing their hemoglobin A1c in a sustained way, reducing their body weight. We think these are very strong data to suggest that we have a major reduction in all the endpoints. If we’re right about this, the randomized controlled trial will show that dramatic effect, and will convince even the skeptics that metabolic surgery is the best way to go.”
Those are the key findings of a retrospective analysis of a large group of patients who received care at the Cleveland Clinic between 1998 and 2017. MACE is defined as first occurrence of coronary artery events, cerebrovascular events, heart failure, nephropathy, atrial fibrillation, and all-cause mortality.
“I think what it tells us is that, in making these choices and in counseling patients about the potential advantages of undergoing bariatric surgery for their obesity and diabetes, that they should know that they’re more likely to be protected by a Roux-en-Y gastric bypass, although certainly sleeve gastrectomy is effective,” said study coauthor Steven E. Nissen, MD, who is the chief academic officer of the Heart and Vascular Institute at the Cleveland Clinic.
Previous studies have shown a benefit to metabolic surgery in patients with type 2 diabetes and obesity, improving diabetes control and altering cardiometabolic risk factors. Others have shown a link between surgery and reduced mortality. Most studies examined the impact of RYGB. SG is a newer procedure, but its relative simplicity and lower complication rate have helped it become the most commonly performed metabolic surgery in the world.
“There was no study to compare gastric bypass and sleeve gastrectomy head to head in terms of reduction in risk of cardiovascular disease. There are studies comparing these two procedures for diabetes control and weight loss, but not specifically in terms of effects on their risk of developing cardiovascular disease. That’s the unique feature of this study,” said lead author Ali Aminian, MD, who is director of the Bariatric and Metabolic Institute at the Cleveland Clinic.
The researchers included 2,287 adults with type 2 diabetes and a body mass index of at least 30 kg/m2, with no history of solid organ transplant, severe heart failure, or active cancer. 1,362 underwent RYGB, and 693 SG. Outcomes were compared with 11,435 matched nonsurgical patients.
At 5 years, 13.7% of the RYGB group experienced a MACE (95% confidence interval, 11.4-15.9), compared with 24.7% of the SG group for a relative reduction of 33% (95% CI, 19.0-30.0; adjusted hazard ratio, 0.77; P = .035). The nonsurgical group had a 5-year MACE incidence of 30.4% (95% CI, 29.4-31.5). Compared with usual care, the risk of MACE was lower in both the RYGB group (HR, 0.53; P < .001) and the SG group (HR, 0.69; P < .001). The researchers also analyzed the cumulative incidence of all-cause mortality, myocardial infarction, and ischemic stroke (three-component MACE) at 5 years. The cumulative incidence of three-component MACE at 5 years was 15.5% in the usual care group, 6.4% in the RYGB group (HR, 0.53 versus usual care; P < .001) and 11.8% in the SG group (HR vs. usual care, 0.65; P = .006).
The RYGB group had less nephropathy at 5 years (2.8% vs. 8.3%; HR, 0.47; P = .005), and experienced a greater reduction in weight, glycated hemoglobin, and diabetes and cardiovascular medication use. At 5 years, RYGB was associated with a higher frequency of upper endoscopy (45.8% vs. 35.6%, P < .001) and abdominal surgical procedures (10.8% vs. 5.4%, P = .001), compared with SG.
“Both procedures are extremely safe and extremely effective,” said Dr. Aminian. He pointed out the need to consider multiple factors when choosing between the procedures, including overall health, weight, comorbidities, and the patient’s values and goals.
A few factors may be contraindicated for one procedure or another. The sleeve may worsen severe reflux disease, while the gastric bypass may interfere more with absorption of psychiatric medications. Some patients may have multiple comorbidities that could point to a less risky procedure. “Decision-making should not be solely based on findings of this study. All these conditions need to be considered when patients and surgeons make a final decision about the most appropriate procedure,” said Dr. Aminian.
Dr. Nissen noted that the associations were wide ranging, including classic outcomes like death, stroke, and heart failure, but also extending to heart failure, coronary events, cerebral vascular events, nephropathy, and atrial fibrillation. “I found the nephropathy results to be amongst the most striking, that Roux-en-Y really dramatically reduced the risk of neuropathy,” he added. That’s a particularly important point because end-stage renal disease is a common cause of diabetes mortality.
Dr. Nissen acknowledged the limitations of the retrospective nature of the study, though he feels confident that the relationships are causal. “Bariatric surgery desperately needs a randomized, controlled trial, where both groups get intensive dietary and lifestyle counseling, but one group gets metabolic surgery and the other doesn’t. Given the dramatic effects in diabetic patients of reducing their hemoglobin A1c in a sustained way, reducing their body weight. We think these are very strong data to suggest that we have a major reduction in all the endpoints. If we’re right about this, the randomized controlled trial will show that dramatic effect, and will convince even the skeptics that metabolic surgery is the best way to go.”
FROM DIABETES CARE
PRESERVED-HF: Dapagliflozin improves physical limitations in patients with HFpEF
The SGLT2 inhibitor dapagliflozin scored a clear win in a randomized, controlled trial with more than 300 U.S. patients with heart failure with preserved ejection fraction (HFpEF), showing a significant and clinically meaningful benefit for the primary endpoint, a KCCQ measure of symptoms and physical limitations, after 12 weeks of treatment.
These results in the PRESERVED-HF study follow closely on the heals of the initial report from the EMPEROR-Preserved trial that showed a benefit from a different sodium-glucose cotransporter 2 (SGLT2) inhibitor, empagliflozin (Jardiance) in nearly 6,000 randomized patients for the primary endpoint of preventing cardiovascular death or hospitalizations for heart failure.
In PRESERVED-HF, patients with HFpEF who received a standard, once-daily dose of dapagliflozin (Farxiga) had an average 5.8-point improvement in their condition as measured by the Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CS), the study’s primary endpoint.
This is “the first study to demonstrate that an SGLT2 inhibitor dapagliflozin significantly improves symptoms, physical limitations, and 6-minute walking distance in patients with HFpEF,” Mikhail N. Kosiborod, MD, reported at the annual scientific meeting of the Heart Failure Society of America. The secondary endpoint of 6-minute walking distance “has been very difficult to improve in many previous studies of other treatments” tested in patients with HFpEF, noted Dr. Kosiborod, a cardiologist and codirector of the Cardiometabolic Center of Excellence at Saint Luke’s Mid-America Heart Institute.
The results are “highly complementary” to the findings from large outcome trials, such as the findings from EMPEROR-Preserved, he said, and collectively the recent findings from these studies of SGLT2 inhibitors in patients with HFpEF identify drugs in this class as a “new treatment option” for patients with a disorder that until now had no treatment with unequivocally proven efficacy and safety.
‘Impressive and unprecedented’ findings
The findings are “really impressive and unprecedented,” said Milton Packer, MD, a cardiologist at Baylor University Medical Center in Dallas who was not involved in the study. “This is the largest KCCQ benefit ever seen in either patients with HFpEF or in patients with heart failure with reduced ejection fraction,” said Dr. Packer, one of the investigators who led the EMPEROR-Preserved trial.
PRESERVED-HF randomized 324 patients diagnosed with heart failure and with a left ventricular ejection fraction of 45% or higher at any of 26 U.S. centers, with 304 patients completing the planned final analysis after 12 weeks on treatment. Patients could be in New York Heart Association (NYHA) functional class II-IV, they had to have a baseline N-terminal pro-brain natriuretic peptide (NT-proBNP) level of at least 225 pg/mL (or higher if they also had atrial fibrillation), and they required at least one of three markers of established heart failure: recent hospitalization for heart failure or an urgent outpatient visit that required treatment with an IV diuretic, elevated filling pressure measured by left or right catheterization, or structural heart disease detected by echocardiography.
The average age of the enrolled patients was 70 years, and they had been diagnosed with heart failure for about 3 years; 57% were women, 30% were African American, and their median body mass index was 35 kg/m2. Roughly 42% had NYHA class III or IV disease, 56% had type 2 diabetes, their median estimated glomerular filtration rate was about 55 mL/min per 1.73m2, their median KCCQ-CS score at baseline was about 62, and their average 6-minute walk distance was 244 m.
These and other features of the enrolled population define a distinctly U.S. patient population, stressed Dr. Kosiborod, professor of medicine at the University of Missouri–Kansas City.
“The patients we enrolled are the patients we see in U.S. clinical practice,” he said in an interview. Importantly, the patient profile of a median BMI of 35 kg/m2, a median KCCQ-CS score of 62 – “quite low,” noted Dr. Kosiborod – and having more than 40% of patients in NYHA functional class III defines a study population with a substantially greater burden of obesity, symptoms, and functional impairment compared with those enrolled in prior trials involving patients with HFpEF such as EMPEROR-Preserved.
Results complement findings from larger trials
PRESERVED-HF was an investigator-initiated study designed to inform clinical practice, not as a pivotal trial like EMPEROR-Preserved, which aims to gather evidence to support a new indication for regulatory approval. (On Sept. 9, 2021, the Food and Drug Administration granted empagliflozin “breakthrough therapy” status for treating HFpEF based on the EMPEROR-Preserved results, which will fast-track the agency’s decision on this indication.)
Dr. Kosiborod noted that he and his associates designed PRESERVED-HF with adequate patient numbers to power a statistically valid assessment of effect on KCCQ-CS score. While the new findings will not by themselves lead to a new indication for dapagliflozin to treat patients with HFpEF, they will potentially complement the pending results of another trial, DELIVER, by showing efficacy and safety in a uniquely U.S. patient population. DELIVER is a pivotal, global trial of dapagliflozin in more than 6,000 patients with HFpEF that’s on track to report findings in 2022.
Dr. Kosiborod also stressed that dapagliflozin has U.S.-approved indications for treating patients with type 2 diabetes, and for patients with chronic kidney disease, and that a majority of patients enrolled in PRESERVED-HF had one or both of these conditions. That makes the new findings especially compelling for patients with either type 2 diabetes or chronic kidney disease and HFpEF who are not already receiving an SGLT2 inhibitor.
Other findings that he reported showed a range of benefits consistent with the primary endpoint, including the KCCQ overall summary score, which also showed a significant 4.5-point average increase over placebo after 12 weeks. Analysis by the percentage of patients achieving at least a 5-point improvement in the KCCQ clinical summary score (the threshold for a clinically meaningful improvement) showed that about 45% of patients treated with dapagliflozin reached this mark compared with roughly 35% of patients in the placebo arm, indicating a number needed to treat of nine to have one additional patient achieve this threshold after 12 weeks. Average improvement in 6-minute walk distance was about 20 m with dapagliflozin compared with placebo.
No heterogeneity of effect by baseline ejection fraction.
Subgroup analyses showed no heterogeneity of response across 12 different ways of subdividing the study population, including age, sex, race, diabetes status, and BMI. The median left ventricular ejection fraction among enrolled patients was 60%, and the findings showed identical KCCQ improvements among patients with ejection fractions less than the median and those with an ejection fraction above the median.
This last finding was especially relevant because the EMPEROR-Preserved results showed a possible signal of heterogeneity by ejection fraction and an attenuated effect among patients with HFpEF and an ejection fraction above the 60%-65% range, although the certainty of this finding is currently controversial.
The impact of empagliflozin on KCCQ clinical summary score in EMPEROR-Preserved showed an average incremental improvement of 1.32 points compared with placebo, a significant difference, but more modest than the increment from dapagliflozin treatment seen in PRESERVED-HF. Dr. Kosiborod hypothesized that this difference might be mostly because of the different patient populations enrolled in the two studies.
Dr. Kosiborod noted that a report on the PRESERVED-HF results will soon appear in Nature Medicine.
PRESERVED-HF was funded by AstraZeneca, which markets dapagliflozin (Farxiga), but the trials’ design and conduct were independent of this funding source. Dr. Kosiborod has been a consultant to AstraZeneca and numerous other companies, and he has received research funding from AstraZeneca and Boehringer Ingelheim. Dr. Packer has had financial relationships with AstraZeneca and numerous other companies.
The SGLT2 inhibitor dapagliflozin scored a clear win in a randomized, controlled trial with more than 300 U.S. patients with heart failure with preserved ejection fraction (HFpEF), showing a significant and clinically meaningful benefit for the primary endpoint, a KCCQ measure of symptoms and physical limitations, after 12 weeks of treatment.
These results in the PRESERVED-HF study follow closely on the heals of the initial report from the EMPEROR-Preserved trial that showed a benefit from a different sodium-glucose cotransporter 2 (SGLT2) inhibitor, empagliflozin (Jardiance) in nearly 6,000 randomized patients for the primary endpoint of preventing cardiovascular death or hospitalizations for heart failure.
In PRESERVED-HF, patients with HFpEF who received a standard, once-daily dose of dapagliflozin (Farxiga) had an average 5.8-point improvement in their condition as measured by the Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CS), the study’s primary endpoint.
This is “the first study to demonstrate that an SGLT2 inhibitor dapagliflozin significantly improves symptoms, physical limitations, and 6-minute walking distance in patients with HFpEF,” Mikhail N. Kosiborod, MD, reported at the annual scientific meeting of the Heart Failure Society of America. The secondary endpoint of 6-minute walking distance “has been very difficult to improve in many previous studies of other treatments” tested in patients with HFpEF, noted Dr. Kosiborod, a cardiologist and codirector of the Cardiometabolic Center of Excellence at Saint Luke’s Mid-America Heart Institute.
The results are “highly complementary” to the findings from large outcome trials, such as the findings from EMPEROR-Preserved, he said, and collectively the recent findings from these studies of SGLT2 inhibitors in patients with HFpEF identify drugs in this class as a “new treatment option” for patients with a disorder that until now had no treatment with unequivocally proven efficacy and safety.
‘Impressive and unprecedented’ findings
The findings are “really impressive and unprecedented,” said Milton Packer, MD, a cardiologist at Baylor University Medical Center in Dallas who was not involved in the study. “This is the largest KCCQ benefit ever seen in either patients with HFpEF or in patients with heart failure with reduced ejection fraction,” said Dr. Packer, one of the investigators who led the EMPEROR-Preserved trial.
PRESERVED-HF randomized 324 patients diagnosed with heart failure and with a left ventricular ejection fraction of 45% or higher at any of 26 U.S. centers, with 304 patients completing the planned final analysis after 12 weeks on treatment. Patients could be in New York Heart Association (NYHA) functional class II-IV, they had to have a baseline N-terminal pro-brain natriuretic peptide (NT-proBNP) level of at least 225 pg/mL (or higher if they also had atrial fibrillation), and they required at least one of three markers of established heart failure: recent hospitalization for heart failure or an urgent outpatient visit that required treatment with an IV diuretic, elevated filling pressure measured by left or right catheterization, or structural heart disease detected by echocardiography.
The average age of the enrolled patients was 70 years, and they had been diagnosed with heart failure for about 3 years; 57% were women, 30% were African American, and their median body mass index was 35 kg/m2. Roughly 42% had NYHA class III or IV disease, 56% had type 2 diabetes, their median estimated glomerular filtration rate was about 55 mL/min per 1.73m2, their median KCCQ-CS score at baseline was about 62, and their average 6-minute walk distance was 244 m.
These and other features of the enrolled population define a distinctly U.S. patient population, stressed Dr. Kosiborod, professor of medicine at the University of Missouri–Kansas City.
“The patients we enrolled are the patients we see in U.S. clinical practice,” he said in an interview. Importantly, the patient profile of a median BMI of 35 kg/m2, a median KCCQ-CS score of 62 – “quite low,” noted Dr. Kosiborod – and having more than 40% of patients in NYHA functional class III defines a study population with a substantially greater burden of obesity, symptoms, and functional impairment compared with those enrolled in prior trials involving patients with HFpEF such as EMPEROR-Preserved.
Results complement findings from larger trials
PRESERVED-HF was an investigator-initiated study designed to inform clinical practice, not as a pivotal trial like EMPEROR-Preserved, which aims to gather evidence to support a new indication for regulatory approval. (On Sept. 9, 2021, the Food and Drug Administration granted empagliflozin “breakthrough therapy” status for treating HFpEF based on the EMPEROR-Preserved results, which will fast-track the agency’s decision on this indication.)
Dr. Kosiborod noted that he and his associates designed PRESERVED-HF with adequate patient numbers to power a statistically valid assessment of effect on KCCQ-CS score. While the new findings will not by themselves lead to a new indication for dapagliflozin to treat patients with HFpEF, they will potentially complement the pending results of another trial, DELIVER, by showing efficacy and safety in a uniquely U.S. patient population. DELIVER is a pivotal, global trial of dapagliflozin in more than 6,000 patients with HFpEF that’s on track to report findings in 2022.
Dr. Kosiborod also stressed that dapagliflozin has U.S.-approved indications for treating patients with type 2 diabetes, and for patients with chronic kidney disease, and that a majority of patients enrolled in PRESERVED-HF had one or both of these conditions. That makes the new findings especially compelling for patients with either type 2 diabetes or chronic kidney disease and HFpEF who are not already receiving an SGLT2 inhibitor.
Other findings that he reported showed a range of benefits consistent with the primary endpoint, including the KCCQ overall summary score, which also showed a significant 4.5-point average increase over placebo after 12 weeks. Analysis by the percentage of patients achieving at least a 5-point improvement in the KCCQ clinical summary score (the threshold for a clinically meaningful improvement) showed that about 45% of patients treated with dapagliflozin reached this mark compared with roughly 35% of patients in the placebo arm, indicating a number needed to treat of nine to have one additional patient achieve this threshold after 12 weeks. Average improvement in 6-minute walk distance was about 20 m with dapagliflozin compared with placebo.
No heterogeneity of effect by baseline ejection fraction.
Subgroup analyses showed no heterogeneity of response across 12 different ways of subdividing the study population, including age, sex, race, diabetes status, and BMI. The median left ventricular ejection fraction among enrolled patients was 60%, and the findings showed identical KCCQ improvements among patients with ejection fractions less than the median and those with an ejection fraction above the median.
This last finding was especially relevant because the EMPEROR-Preserved results showed a possible signal of heterogeneity by ejection fraction and an attenuated effect among patients with HFpEF and an ejection fraction above the 60%-65% range, although the certainty of this finding is currently controversial.
The impact of empagliflozin on KCCQ clinical summary score in EMPEROR-Preserved showed an average incremental improvement of 1.32 points compared with placebo, a significant difference, but more modest than the increment from dapagliflozin treatment seen in PRESERVED-HF. Dr. Kosiborod hypothesized that this difference might be mostly because of the different patient populations enrolled in the two studies.
Dr. Kosiborod noted that a report on the PRESERVED-HF results will soon appear in Nature Medicine.
PRESERVED-HF was funded by AstraZeneca, which markets dapagliflozin (Farxiga), but the trials’ design and conduct were independent of this funding source. Dr. Kosiborod has been a consultant to AstraZeneca and numerous other companies, and he has received research funding from AstraZeneca and Boehringer Ingelheim. Dr. Packer has had financial relationships with AstraZeneca and numerous other companies.
The SGLT2 inhibitor dapagliflozin scored a clear win in a randomized, controlled trial with more than 300 U.S. patients with heart failure with preserved ejection fraction (HFpEF), showing a significant and clinically meaningful benefit for the primary endpoint, a KCCQ measure of symptoms and physical limitations, after 12 weeks of treatment.
These results in the PRESERVED-HF study follow closely on the heals of the initial report from the EMPEROR-Preserved trial that showed a benefit from a different sodium-glucose cotransporter 2 (SGLT2) inhibitor, empagliflozin (Jardiance) in nearly 6,000 randomized patients for the primary endpoint of preventing cardiovascular death or hospitalizations for heart failure.
In PRESERVED-HF, patients with HFpEF who received a standard, once-daily dose of dapagliflozin (Farxiga) had an average 5.8-point improvement in their condition as measured by the Kansas City Cardiomyopathy Questionnaire clinical summary score (KCCQ-CS), the study’s primary endpoint.
This is “the first study to demonstrate that an SGLT2 inhibitor dapagliflozin significantly improves symptoms, physical limitations, and 6-minute walking distance in patients with HFpEF,” Mikhail N. Kosiborod, MD, reported at the annual scientific meeting of the Heart Failure Society of America. The secondary endpoint of 6-minute walking distance “has been very difficult to improve in many previous studies of other treatments” tested in patients with HFpEF, noted Dr. Kosiborod, a cardiologist and codirector of the Cardiometabolic Center of Excellence at Saint Luke’s Mid-America Heart Institute.
The results are “highly complementary” to the findings from large outcome trials, such as the findings from EMPEROR-Preserved, he said, and collectively the recent findings from these studies of SGLT2 inhibitors in patients with HFpEF identify drugs in this class as a “new treatment option” for patients with a disorder that until now had no treatment with unequivocally proven efficacy and safety.
‘Impressive and unprecedented’ findings
The findings are “really impressive and unprecedented,” said Milton Packer, MD, a cardiologist at Baylor University Medical Center in Dallas who was not involved in the study. “This is the largest KCCQ benefit ever seen in either patients with HFpEF or in patients with heart failure with reduced ejection fraction,” said Dr. Packer, one of the investigators who led the EMPEROR-Preserved trial.
PRESERVED-HF randomized 324 patients diagnosed with heart failure and with a left ventricular ejection fraction of 45% or higher at any of 26 U.S. centers, with 304 patients completing the planned final analysis after 12 weeks on treatment. Patients could be in New York Heart Association (NYHA) functional class II-IV, they had to have a baseline N-terminal pro-brain natriuretic peptide (NT-proBNP) level of at least 225 pg/mL (or higher if they also had atrial fibrillation), and they required at least one of three markers of established heart failure: recent hospitalization for heart failure or an urgent outpatient visit that required treatment with an IV diuretic, elevated filling pressure measured by left or right catheterization, or structural heart disease detected by echocardiography.
The average age of the enrolled patients was 70 years, and they had been diagnosed with heart failure for about 3 years; 57% were women, 30% were African American, and their median body mass index was 35 kg/m2. Roughly 42% had NYHA class III or IV disease, 56% had type 2 diabetes, their median estimated glomerular filtration rate was about 55 mL/min per 1.73m2, their median KCCQ-CS score at baseline was about 62, and their average 6-minute walk distance was 244 m.
These and other features of the enrolled population define a distinctly U.S. patient population, stressed Dr. Kosiborod, professor of medicine at the University of Missouri–Kansas City.
“The patients we enrolled are the patients we see in U.S. clinical practice,” he said in an interview. Importantly, the patient profile of a median BMI of 35 kg/m2, a median KCCQ-CS score of 62 – “quite low,” noted Dr. Kosiborod – and having more than 40% of patients in NYHA functional class III defines a study population with a substantially greater burden of obesity, symptoms, and functional impairment compared with those enrolled in prior trials involving patients with HFpEF such as EMPEROR-Preserved.
Results complement findings from larger trials
PRESERVED-HF was an investigator-initiated study designed to inform clinical practice, not as a pivotal trial like EMPEROR-Preserved, which aims to gather evidence to support a new indication for regulatory approval. (On Sept. 9, 2021, the Food and Drug Administration granted empagliflozin “breakthrough therapy” status for treating HFpEF based on the EMPEROR-Preserved results, which will fast-track the agency’s decision on this indication.)
Dr. Kosiborod noted that he and his associates designed PRESERVED-HF with adequate patient numbers to power a statistically valid assessment of effect on KCCQ-CS score. While the new findings will not by themselves lead to a new indication for dapagliflozin to treat patients with HFpEF, they will potentially complement the pending results of another trial, DELIVER, by showing efficacy and safety in a uniquely U.S. patient population. DELIVER is a pivotal, global trial of dapagliflozin in more than 6,000 patients with HFpEF that’s on track to report findings in 2022.
Dr. Kosiborod also stressed that dapagliflozin has U.S.-approved indications for treating patients with type 2 diabetes, and for patients with chronic kidney disease, and that a majority of patients enrolled in PRESERVED-HF had one or both of these conditions. That makes the new findings especially compelling for patients with either type 2 diabetes or chronic kidney disease and HFpEF who are not already receiving an SGLT2 inhibitor.
Other findings that he reported showed a range of benefits consistent with the primary endpoint, including the KCCQ overall summary score, which also showed a significant 4.5-point average increase over placebo after 12 weeks. Analysis by the percentage of patients achieving at least a 5-point improvement in the KCCQ clinical summary score (the threshold for a clinically meaningful improvement) showed that about 45% of patients treated with dapagliflozin reached this mark compared with roughly 35% of patients in the placebo arm, indicating a number needed to treat of nine to have one additional patient achieve this threshold after 12 weeks. Average improvement in 6-minute walk distance was about 20 m with dapagliflozin compared with placebo.
No heterogeneity of effect by baseline ejection fraction.
Subgroup analyses showed no heterogeneity of response across 12 different ways of subdividing the study population, including age, sex, race, diabetes status, and BMI. The median left ventricular ejection fraction among enrolled patients was 60%, and the findings showed identical KCCQ improvements among patients with ejection fractions less than the median and those with an ejection fraction above the median.
This last finding was especially relevant because the EMPEROR-Preserved results showed a possible signal of heterogeneity by ejection fraction and an attenuated effect among patients with HFpEF and an ejection fraction above the 60%-65% range, although the certainty of this finding is currently controversial.
The impact of empagliflozin on KCCQ clinical summary score in EMPEROR-Preserved showed an average incremental improvement of 1.32 points compared with placebo, a significant difference, but more modest than the increment from dapagliflozin treatment seen in PRESERVED-HF. Dr. Kosiborod hypothesized that this difference might be mostly because of the different patient populations enrolled in the two studies.
Dr. Kosiborod noted that a report on the PRESERVED-HF results will soon appear in Nature Medicine.
PRESERVED-HF was funded by AstraZeneca, which markets dapagliflozin (Farxiga), but the trials’ design and conduct were independent of this funding source. Dr. Kosiborod has been a consultant to AstraZeneca and numerous other companies, and he has received research funding from AstraZeneca and Boehringer Ingelheim. Dr. Packer has had financial relationships with AstraZeneca and numerous other companies.
FROM HFSA 2021
Obese children with asthma are resistant to ICS
Obese or overweight children with asthma could be using inhaled corticosteroids (ICS) to no avail, combined results from observational studies suggest.
Using Mendelian randomization, a method for reducing bias in observational studies, investigators from the University of Amsterdam Medical Center performed an analysis of data from four cross-sectional studies and one cohort study on a total of 1,511 children with asthma.
They showed that every 1-unit increase in the body mass index (BMI) z score was associated with a more than twofold higher odds ratio for exacerbation, reported Cristina Longo, PhD, a former postdoctoral fellow at AMC, and assistant professor of medicine at the University of Montreal.
“In this large, multicenter Mendelian randomization study, our findings support current evidence that children with higher BMI status respond inadequately to inhaled corticosteroids, and that this association is likely not explained by measured confounding or reverse causation,” she said in an oral abstract presentation during the European Respiratory Society International Congress.
Unmeasured confounding
The obese-asthma phenotype in children is characterized by reduced lung function, high symptom expression, poor response to ICS, and high health care utilization.
“While most observational studies suggest that weight status is associated with asthma exacerbations, despite using inhaled corticosteroids, it’s unclear whether these associations may be due to unmeasured confounding or reverse causation, which captures the idea that perhaps obesity is a consequence rather than a cause of uncontrolled severe asthma,” she said.
Traditional observational studies of the obesity-asthma link rely on comparing data on asthma in a target population and comparing nonobese patients with obese patients. The problem with this method, Dr. Longo contended, is that the exposure assignment – weight status – is not random, and could lead to bias from potential imbalance of confounders, leading to unintentionally biased results.
In contrast, Mendelian randomization uses genetic data to approximate random assignment of exposures, using a risk score for BMI based on genetic susceptibility. The score is based on the accumulation of genetic variants (single-nucleotide polymorphisms, or SNPs) that predispose individuals to obesity, with higher numbers of variants results in a higher risk score.
The scores are then used to determine the comparison groups for evaluating the obesity-asthma association.
Alphabet soup
Dr. Longo and colleagues analyzed data on a total 1,511 children enrolled in four observational studies (PACMAN, PAGES, HPR, CLARA) and one cohort study (ALSPAC).
They included children with an asthma diagnosis who used ICS and had available information on both BMI and genetics.
The Mendelian randomization analysis was based on a weighted allele score based on 97 SNPs predictive of BMI based on large-scale genomewide association studies. The exposure for the analysis was age- and sex-adjusted BMI z scores based on World Health Organization growth charts for children.
They found that using the Mendelian randomization approach, for each standard deviation increase in BMI, the OR for any parent-reported asthma exacerbations, including urgent care visits or use of oral corticosteroids, was 2.31 (95% confidence interval, 1.26-4.25).
In contrast, if the traditional observational model had been used, the OR would be a nonsignificant 1.10 (95% CI, 0.99-1.22).
“Treatment guidelines recommend steroids for children with asthma who have a higher-than-normal BMI,” Dr. Longo said in a statement. “Our research group felt that the one-size fits-all approach to treating children with asthma with inhaled steroids as their first-line treatment, particularly those with excess weight, warrants revision. At the very least, research identifying potential alternative treatments should be encouraged and prioritized, especially since 30% of children with asthma are also obese. With the childhood obesity epidemic rising, we expect this percentage to increase meaning this problem of poor control will be seen more frequently in routine clinical practice.”
Christopher E. Brightling, PhD, professor of respiratory medicine at the University of Leicester (England), commented that “this is very good and fascinating research with findings that are important and novel.
“It sheds light on the complex interplay between genes, weight, and response to inhaled corticosteroids, underscoring the need to combine drug treatments with lifestyle and diet modifications. Policy makers, health care providers and families need to do much more to tackle the growing obesity epidemic in young people,” he said.
Dr. Brightling was not involved in the study.
The study was supported by the ERS and the European Union’s H2020 research and innovation program. Dr. Longo was a Horizon 2020 Marie-Sklodowska Cure Respire-3 fellow. Dr. Brightling reported no relevant disclosures.
Obese or overweight children with asthma could be using inhaled corticosteroids (ICS) to no avail, combined results from observational studies suggest.
Using Mendelian randomization, a method for reducing bias in observational studies, investigators from the University of Amsterdam Medical Center performed an analysis of data from four cross-sectional studies and one cohort study on a total of 1,511 children with asthma.
They showed that every 1-unit increase in the body mass index (BMI) z score was associated with a more than twofold higher odds ratio for exacerbation, reported Cristina Longo, PhD, a former postdoctoral fellow at AMC, and assistant professor of medicine at the University of Montreal.
“In this large, multicenter Mendelian randomization study, our findings support current evidence that children with higher BMI status respond inadequately to inhaled corticosteroids, and that this association is likely not explained by measured confounding or reverse causation,” she said in an oral abstract presentation during the European Respiratory Society International Congress.
Unmeasured confounding
The obese-asthma phenotype in children is characterized by reduced lung function, high symptom expression, poor response to ICS, and high health care utilization.
“While most observational studies suggest that weight status is associated with asthma exacerbations, despite using inhaled corticosteroids, it’s unclear whether these associations may be due to unmeasured confounding or reverse causation, which captures the idea that perhaps obesity is a consequence rather than a cause of uncontrolled severe asthma,” she said.
Traditional observational studies of the obesity-asthma link rely on comparing data on asthma in a target population and comparing nonobese patients with obese patients. The problem with this method, Dr. Longo contended, is that the exposure assignment – weight status – is not random, and could lead to bias from potential imbalance of confounders, leading to unintentionally biased results.
In contrast, Mendelian randomization uses genetic data to approximate random assignment of exposures, using a risk score for BMI based on genetic susceptibility. The score is based on the accumulation of genetic variants (single-nucleotide polymorphisms, or SNPs) that predispose individuals to obesity, with higher numbers of variants results in a higher risk score.
The scores are then used to determine the comparison groups for evaluating the obesity-asthma association.
Alphabet soup
Dr. Longo and colleagues analyzed data on a total 1,511 children enrolled in four observational studies (PACMAN, PAGES, HPR, CLARA) and one cohort study (ALSPAC).
They included children with an asthma diagnosis who used ICS and had available information on both BMI and genetics.
The Mendelian randomization analysis was based on a weighted allele score based on 97 SNPs predictive of BMI based on large-scale genomewide association studies. The exposure for the analysis was age- and sex-adjusted BMI z scores based on World Health Organization growth charts for children.
They found that using the Mendelian randomization approach, for each standard deviation increase in BMI, the OR for any parent-reported asthma exacerbations, including urgent care visits or use of oral corticosteroids, was 2.31 (95% confidence interval, 1.26-4.25).
In contrast, if the traditional observational model had been used, the OR would be a nonsignificant 1.10 (95% CI, 0.99-1.22).
“Treatment guidelines recommend steroids for children with asthma who have a higher-than-normal BMI,” Dr. Longo said in a statement. “Our research group felt that the one-size fits-all approach to treating children with asthma with inhaled steroids as their first-line treatment, particularly those with excess weight, warrants revision. At the very least, research identifying potential alternative treatments should be encouraged and prioritized, especially since 30% of children with asthma are also obese. With the childhood obesity epidemic rising, we expect this percentage to increase meaning this problem of poor control will be seen more frequently in routine clinical practice.”
Christopher E. Brightling, PhD, professor of respiratory medicine at the University of Leicester (England), commented that “this is very good and fascinating research with findings that are important and novel.
“It sheds light on the complex interplay between genes, weight, and response to inhaled corticosteroids, underscoring the need to combine drug treatments with lifestyle and diet modifications. Policy makers, health care providers and families need to do much more to tackle the growing obesity epidemic in young people,” he said.
Dr. Brightling was not involved in the study.
The study was supported by the ERS and the European Union’s H2020 research and innovation program. Dr. Longo was a Horizon 2020 Marie-Sklodowska Cure Respire-3 fellow. Dr. Brightling reported no relevant disclosures.
Obese or overweight children with asthma could be using inhaled corticosteroids (ICS) to no avail, combined results from observational studies suggest.
Using Mendelian randomization, a method for reducing bias in observational studies, investigators from the University of Amsterdam Medical Center performed an analysis of data from four cross-sectional studies and one cohort study on a total of 1,511 children with asthma.
They showed that every 1-unit increase in the body mass index (BMI) z score was associated with a more than twofold higher odds ratio for exacerbation, reported Cristina Longo, PhD, a former postdoctoral fellow at AMC, and assistant professor of medicine at the University of Montreal.
“In this large, multicenter Mendelian randomization study, our findings support current evidence that children with higher BMI status respond inadequately to inhaled corticosteroids, and that this association is likely not explained by measured confounding or reverse causation,” she said in an oral abstract presentation during the European Respiratory Society International Congress.
Unmeasured confounding
The obese-asthma phenotype in children is characterized by reduced lung function, high symptom expression, poor response to ICS, and high health care utilization.
“While most observational studies suggest that weight status is associated with asthma exacerbations, despite using inhaled corticosteroids, it’s unclear whether these associations may be due to unmeasured confounding or reverse causation, which captures the idea that perhaps obesity is a consequence rather than a cause of uncontrolled severe asthma,” she said.
Traditional observational studies of the obesity-asthma link rely on comparing data on asthma in a target population and comparing nonobese patients with obese patients. The problem with this method, Dr. Longo contended, is that the exposure assignment – weight status – is not random, and could lead to bias from potential imbalance of confounders, leading to unintentionally biased results.
In contrast, Mendelian randomization uses genetic data to approximate random assignment of exposures, using a risk score for BMI based on genetic susceptibility. The score is based on the accumulation of genetic variants (single-nucleotide polymorphisms, or SNPs) that predispose individuals to obesity, with higher numbers of variants results in a higher risk score.
The scores are then used to determine the comparison groups for evaluating the obesity-asthma association.
Alphabet soup
Dr. Longo and colleagues analyzed data on a total 1,511 children enrolled in four observational studies (PACMAN, PAGES, HPR, CLARA) and one cohort study (ALSPAC).
They included children with an asthma diagnosis who used ICS and had available information on both BMI and genetics.
The Mendelian randomization analysis was based on a weighted allele score based on 97 SNPs predictive of BMI based on large-scale genomewide association studies. The exposure for the analysis was age- and sex-adjusted BMI z scores based on World Health Organization growth charts for children.
They found that using the Mendelian randomization approach, for each standard deviation increase in BMI, the OR for any parent-reported asthma exacerbations, including urgent care visits or use of oral corticosteroids, was 2.31 (95% confidence interval, 1.26-4.25).
In contrast, if the traditional observational model had been used, the OR would be a nonsignificant 1.10 (95% CI, 0.99-1.22).
“Treatment guidelines recommend steroids for children with asthma who have a higher-than-normal BMI,” Dr. Longo said in a statement. “Our research group felt that the one-size fits-all approach to treating children with asthma with inhaled steroids as their first-line treatment, particularly those with excess weight, warrants revision. At the very least, research identifying potential alternative treatments should be encouraged and prioritized, especially since 30% of children with asthma are also obese. With the childhood obesity epidemic rising, we expect this percentage to increase meaning this problem of poor control will be seen more frequently in routine clinical practice.”
Christopher E. Brightling, PhD, professor of respiratory medicine at the University of Leicester (England), commented that “this is very good and fascinating research with findings that are important and novel.
“It sheds light on the complex interplay between genes, weight, and response to inhaled corticosteroids, underscoring the need to combine drug treatments with lifestyle and diet modifications. Policy makers, health care providers and families need to do much more to tackle the growing obesity epidemic in young people,” he said.
Dr. Brightling was not involved in the study.
The study was supported by the ERS and the European Union’s H2020 research and innovation program. Dr. Longo was a Horizon 2020 Marie-Sklodowska Cure Respire-3 fellow. Dr. Brightling reported no relevant disclosures.
FROM ERS 2021
Walking 7,000 steps per day may be enough to reduce mortality risk
based on prospective data from more than 2,000 people.
Findings were consistent regardless of race or sex, and step intensity had no impact on mortality risk, reported lead author Amanda E. Paluch, PhD, of the University of Massachusetts Amherst, and colleagues.
“In response to the need for empirical data on the associations of step volume and intensity with mortality in younger and diverse populations, we conducted a prospective study in middle-aged Black and White adults followed up for mortality for approximately 11 years,” the investigators wrote in JAMA Network Open. “The objectives of our study were to examine the associations of step volume and intensity with mortality overall and by race and sex.”
Steps per day is easy to communicate
Dr. Paluch noted that steps per day is a “very appealing metric to quantify activity,” for both researchers and laypeople.
“Steps per day is simple and easy to communicate in public health and clinical settings,” Dr. Paluch said in an interview. “Additionally, the dramatic growth of wearable devices measuring steps makes it appealing and broadens the reach of promoting physical activity to many individuals. Walking is an activity that most of the general population can pursue. It can also be accumulated throughout daily living and may seem more achievable to fit into busy lives than a structured exercise session.”
The present investigation was conducted as part of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. The dataset included 2,110 participants ranging from 38-50 years of age, with a mean age of 45.2 years. A slightly higher proportion of the subjects were women (57.1%) and White (57.9%).
All participants wore an ActiGraph 7164 accelerometer for 1 week and were then followed for death of any cause, with a mean follow-up of 10.8 years. Multivariable-adjusted Cox proportional hazards models included a range of covariates, such as smoking history, body weight, alcohol intake, blood pressure, total cholesterol, and others. Step counts were grouped into low (less than 7,000 steps per day), moderate (7,000-9,999), and high (at least 10,000 steps per day) categories.
Compared with individuals who took less than 7,000 steps per day, those who took 7,000-9,000 steps per day had a 72% reduced risk of mortality (hazard ratio, 0.28; 95% confidence interval, 0.15-0.54). Going beyond 10,000 steps appeared to add no benefit, based on a 55% lower risk of all-cause mortality in the highly active group, compared with those taking less than 7,000 steps per day (HR, 0.45; 95% CI, 0.25-0.81).
Walking faster didn’t appear to help either, as stepping intensity was not associated with mortality risk; however, Dr. Paluch urged a cautious interpretation of this finding, calling it “inconclusive,” and suggesting that more research is needed.
“It is also important to note that this study only looked at premature all-cause mortality, and therefore the results may be different for other health outcomes, such as the risk of cardiovascular disease, or diabetes, cancer, or mental health outcomes,” Dr. Paluch said.
“The results from our study demonstrated that those who are least active have the most to gain,” Dr. Paluch said. “Even small incremental increases in steps per day are associated with a lower mortality risk during middle age. A walking plan that gradually works up toward 7,000-10,000 steps per day in middle-aged adults may have health benefits and lower the risk of premature mortality.”
Causality cannot be confirmed
According to Raed A. Joundi, MD, DPhil, of the University of Calgary (Alta.), the study size, diverse population, and length of follow-up should increase confidence in the findings, although a causal relationship remains elusive.
“As this study is observational, causality between step count and mortality cannot be confirmed; however, the authors accounted for many factors, and the association was consistent in different analyses and with prior literature,” Dr. Joundi said in an interview. “The authors did not assess the risk of other important events like stroke and heart attack, and these could be addressed in a future study.”
Dr. Joundi, who recently published a study linking exercise with a 50% reduction in mortality after stroke, noted that “physical activity has innumerable benefits, and it’s important that people engage in activity that can be regular and consistent, regardless of the type or intensity.”
To this end, he highlighted the use of “devices capable of monitoring step count, which can be an important motivational tool,” and suggested that these findings may bring a sigh of relief to step counters who come up a little short on a common daily goal.
“A target of 10,000 steps is often used for public health promotion, and this study now provides convincing observational evidence that it may be an optimal step count target for mortality reduction,” Dr. Joundi said. “However, if 10,000 steps per day is not feasible, 7,000 steps seems to be a very reasonable target given its association with markedly lower mortality in this study.”
Not all step counters are equal
Unfortunately, such recommendations are complicated by uncertainty in measurement, as widely used step counting devices, like smart watches, may not yield the same results as research-grade accelerometers, according to Nicole L. Spartano, PhD, of Boston University.
“Many comparison studies have been conducted in laboratory settings among young healthy adults, but these do not necessarily reflect real-life wear experiences that will be generalizable to the population as a whole,” Dr. Spartano wrote in an accompanying editorial.
She called for large-scale comparison studies to compare research-grade and consumer devices.
“The reason for conducting comparison studies is not to develop distinct guidelines for different devices or subgroups of the population, but rather to understand the variability so that we can develop one clear message that is most appropriate to the public,” Dr. Spartano wrote. “Some devices may have bias in terms of step measurement at different activity intensity and may not record steps as accurately in older adults or individuals with obesity or mobility disorders. For example, when adults who were obese wore an ActiGraph monitor in a laboratory setting, the device only recorded 80% of steps walked at a moderate pace, while other devices recorded close to 100% of steps walked. If we in the public health community are to move toward using these devices more for physical activity prescription, these details will need to be explored in more depth.”
CARDIA was conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham, Northwestern University, the University of Minnesota, and the Kaiser Foundation Research Institute. Some study authors received grants from the National Institutes of Health and the Kaiser Foundation Research Institute. Dr Spartano disclosed relationships with Novo Nordisk, the American Heart Association, the Alzheimer’s Association, and the National Institutes of Health. Dr. Joundi and Dr. Paluch disclosed no relevant financial relationships.
based on prospective data from more than 2,000 people.
Findings were consistent regardless of race or sex, and step intensity had no impact on mortality risk, reported lead author Amanda E. Paluch, PhD, of the University of Massachusetts Amherst, and colleagues.
“In response to the need for empirical data on the associations of step volume and intensity with mortality in younger and diverse populations, we conducted a prospective study in middle-aged Black and White adults followed up for mortality for approximately 11 years,” the investigators wrote in JAMA Network Open. “The objectives of our study were to examine the associations of step volume and intensity with mortality overall and by race and sex.”
Steps per day is easy to communicate
Dr. Paluch noted that steps per day is a “very appealing metric to quantify activity,” for both researchers and laypeople.
“Steps per day is simple and easy to communicate in public health and clinical settings,” Dr. Paluch said in an interview. “Additionally, the dramatic growth of wearable devices measuring steps makes it appealing and broadens the reach of promoting physical activity to many individuals. Walking is an activity that most of the general population can pursue. It can also be accumulated throughout daily living and may seem more achievable to fit into busy lives than a structured exercise session.”
The present investigation was conducted as part of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. The dataset included 2,110 participants ranging from 38-50 years of age, with a mean age of 45.2 years. A slightly higher proportion of the subjects were women (57.1%) and White (57.9%).
All participants wore an ActiGraph 7164 accelerometer for 1 week and were then followed for death of any cause, with a mean follow-up of 10.8 years. Multivariable-adjusted Cox proportional hazards models included a range of covariates, such as smoking history, body weight, alcohol intake, blood pressure, total cholesterol, and others. Step counts were grouped into low (less than 7,000 steps per day), moderate (7,000-9,999), and high (at least 10,000 steps per day) categories.
Compared with individuals who took less than 7,000 steps per day, those who took 7,000-9,000 steps per day had a 72% reduced risk of mortality (hazard ratio, 0.28; 95% confidence interval, 0.15-0.54). Going beyond 10,000 steps appeared to add no benefit, based on a 55% lower risk of all-cause mortality in the highly active group, compared with those taking less than 7,000 steps per day (HR, 0.45; 95% CI, 0.25-0.81).
Walking faster didn’t appear to help either, as stepping intensity was not associated with mortality risk; however, Dr. Paluch urged a cautious interpretation of this finding, calling it “inconclusive,” and suggesting that more research is needed.
“It is also important to note that this study only looked at premature all-cause mortality, and therefore the results may be different for other health outcomes, such as the risk of cardiovascular disease, or diabetes, cancer, or mental health outcomes,” Dr. Paluch said.
“The results from our study demonstrated that those who are least active have the most to gain,” Dr. Paluch said. “Even small incremental increases in steps per day are associated with a lower mortality risk during middle age. A walking plan that gradually works up toward 7,000-10,000 steps per day in middle-aged adults may have health benefits and lower the risk of premature mortality.”
Causality cannot be confirmed
According to Raed A. Joundi, MD, DPhil, of the University of Calgary (Alta.), the study size, diverse population, and length of follow-up should increase confidence in the findings, although a causal relationship remains elusive.
“As this study is observational, causality between step count and mortality cannot be confirmed; however, the authors accounted for many factors, and the association was consistent in different analyses and with prior literature,” Dr. Joundi said in an interview. “The authors did not assess the risk of other important events like stroke and heart attack, and these could be addressed in a future study.”
Dr. Joundi, who recently published a study linking exercise with a 50% reduction in mortality after stroke, noted that “physical activity has innumerable benefits, and it’s important that people engage in activity that can be regular and consistent, regardless of the type or intensity.”
To this end, he highlighted the use of “devices capable of monitoring step count, which can be an important motivational tool,” and suggested that these findings may bring a sigh of relief to step counters who come up a little short on a common daily goal.
“A target of 10,000 steps is often used for public health promotion, and this study now provides convincing observational evidence that it may be an optimal step count target for mortality reduction,” Dr. Joundi said. “However, if 10,000 steps per day is not feasible, 7,000 steps seems to be a very reasonable target given its association with markedly lower mortality in this study.”
Not all step counters are equal
Unfortunately, such recommendations are complicated by uncertainty in measurement, as widely used step counting devices, like smart watches, may not yield the same results as research-grade accelerometers, according to Nicole L. Spartano, PhD, of Boston University.
“Many comparison studies have been conducted in laboratory settings among young healthy adults, but these do not necessarily reflect real-life wear experiences that will be generalizable to the population as a whole,” Dr. Spartano wrote in an accompanying editorial.
She called for large-scale comparison studies to compare research-grade and consumer devices.
“The reason for conducting comparison studies is not to develop distinct guidelines for different devices or subgroups of the population, but rather to understand the variability so that we can develop one clear message that is most appropriate to the public,” Dr. Spartano wrote. “Some devices may have bias in terms of step measurement at different activity intensity and may not record steps as accurately in older adults or individuals with obesity or mobility disorders. For example, when adults who were obese wore an ActiGraph monitor in a laboratory setting, the device only recorded 80% of steps walked at a moderate pace, while other devices recorded close to 100% of steps walked. If we in the public health community are to move toward using these devices more for physical activity prescription, these details will need to be explored in more depth.”
CARDIA was conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham, Northwestern University, the University of Minnesota, and the Kaiser Foundation Research Institute. Some study authors received grants from the National Institutes of Health and the Kaiser Foundation Research Institute. Dr Spartano disclosed relationships with Novo Nordisk, the American Heart Association, the Alzheimer’s Association, and the National Institutes of Health. Dr. Joundi and Dr. Paluch disclosed no relevant financial relationships.
based on prospective data from more than 2,000 people.
Findings were consistent regardless of race or sex, and step intensity had no impact on mortality risk, reported lead author Amanda E. Paluch, PhD, of the University of Massachusetts Amherst, and colleagues.
“In response to the need for empirical data on the associations of step volume and intensity with mortality in younger and diverse populations, we conducted a prospective study in middle-aged Black and White adults followed up for mortality for approximately 11 years,” the investigators wrote in JAMA Network Open. “The objectives of our study were to examine the associations of step volume and intensity with mortality overall and by race and sex.”
Steps per day is easy to communicate
Dr. Paluch noted that steps per day is a “very appealing metric to quantify activity,” for both researchers and laypeople.
“Steps per day is simple and easy to communicate in public health and clinical settings,” Dr. Paluch said in an interview. “Additionally, the dramatic growth of wearable devices measuring steps makes it appealing and broadens the reach of promoting physical activity to many individuals. Walking is an activity that most of the general population can pursue. It can also be accumulated throughout daily living and may seem more achievable to fit into busy lives than a structured exercise session.”
The present investigation was conducted as part of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. The dataset included 2,110 participants ranging from 38-50 years of age, with a mean age of 45.2 years. A slightly higher proportion of the subjects were women (57.1%) and White (57.9%).
All participants wore an ActiGraph 7164 accelerometer for 1 week and were then followed for death of any cause, with a mean follow-up of 10.8 years. Multivariable-adjusted Cox proportional hazards models included a range of covariates, such as smoking history, body weight, alcohol intake, blood pressure, total cholesterol, and others. Step counts were grouped into low (less than 7,000 steps per day), moderate (7,000-9,999), and high (at least 10,000 steps per day) categories.
Compared with individuals who took less than 7,000 steps per day, those who took 7,000-9,000 steps per day had a 72% reduced risk of mortality (hazard ratio, 0.28; 95% confidence interval, 0.15-0.54). Going beyond 10,000 steps appeared to add no benefit, based on a 55% lower risk of all-cause mortality in the highly active group, compared with those taking less than 7,000 steps per day (HR, 0.45; 95% CI, 0.25-0.81).
Walking faster didn’t appear to help either, as stepping intensity was not associated with mortality risk; however, Dr. Paluch urged a cautious interpretation of this finding, calling it “inconclusive,” and suggesting that more research is needed.
“It is also important to note that this study only looked at premature all-cause mortality, and therefore the results may be different for other health outcomes, such as the risk of cardiovascular disease, or diabetes, cancer, or mental health outcomes,” Dr. Paluch said.
“The results from our study demonstrated that those who are least active have the most to gain,” Dr. Paluch said. “Even small incremental increases in steps per day are associated with a lower mortality risk during middle age. A walking plan that gradually works up toward 7,000-10,000 steps per day in middle-aged adults may have health benefits and lower the risk of premature mortality.”
Causality cannot be confirmed
According to Raed A. Joundi, MD, DPhil, of the University of Calgary (Alta.), the study size, diverse population, and length of follow-up should increase confidence in the findings, although a causal relationship remains elusive.
“As this study is observational, causality between step count and mortality cannot be confirmed; however, the authors accounted for many factors, and the association was consistent in different analyses and with prior literature,” Dr. Joundi said in an interview. “The authors did not assess the risk of other important events like stroke and heart attack, and these could be addressed in a future study.”
Dr. Joundi, who recently published a study linking exercise with a 50% reduction in mortality after stroke, noted that “physical activity has innumerable benefits, and it’s important that people engage in activity that can be regular and consistent, regardless of the type or intensity.”
To this end, he highlighted the use of “devices capable of monitoring step count, which can be an important motivational tool,” and suggested that these findings may bring a sigh of relief to step counters who come up a little short on a common daily goal.
“A target of 10,000 steps is often used for public health promotion, and this study now provides convincing observational evidence that it may be an optimal step count target for mortality reduction,” Dr. Joundi said. “However, if 10,000 steps per day is not feasible, 7,000 steps seems to be a very reasonable target given its association with markedly lower mortality in this study.”
Not all step counters are equal
Unfortunately, such recommendations are complicated by uncertainty in measurement, as widely used step counting devices, like smart watches, may not yield the same results as research-grade accelerometers, according to Nicole L. Spartano, PhD, of Boston University.
“Many comparison studies have been conducted in laboratory settings among young healthy adults, but these do not necessarily reflect real-life wear experiences that will be generalizable to the population as a whole,” Dr. Spartano wrote in an accompanying editorial.
She called for large-scale comparison studies to compare research-grade and consumer devices.
“The reason for conducting comparison studies is not to develop distinct guidelines for different devices or subgroups of the population, but rather to understand the variability so that we can develop one clear message that is most appropriate to the public,” Dr. Spartano wrote. “Some devices may have bias in terms of step measurement at different activity intensity and may not record steps as accurately in older adults or individuals with obesity or mobility disorders. For example, when adults who were obese wore an ActiGraph monitor in a laboratory setting, the device only recorded 80% of steps walked at a moderate pace, while other devices recorded close to 100% of steps walked. If we in the public health community are to move toward using these devices more for physical activity prescription, these details will need to be explored in more depth.”
CARDIA was conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham, Northwestern University, the University of Minnesota, and the Kaiser Foundation Research Institute. Some study authors received grants from the National Institutes of Health and the Kaiser Foundation Research Institute. Dr Spartano disclosed relationships with Novo Nordisk, the American Heart Association, the Alzheimer’s Association, and the National Institutes of Health. Dr. Joundi and Dr. Paluch disclosed no relevant financial relationships.
FROM JAMA NETWORK OPEN
Type 2 diabetes ‘remission’ is a reality, say major organizations
A new joint consensus statement by four major diabetes organizations aims to standardize the terminology, definition, and assessment to the phenomenon of diabetes “remission.”
The statement was jointly issued by the American Diabetes Association, the Endocrine Society, the European Association for the Study of Diabetes, and Diabetes UK.
The 12-member international writing panel proposed use of the term “remission,” as opposed to others such as “reversal,” “resolution,” or “cure,” to describe the phenomenon of prolonged normoglycemia without the use of glucose-lowering medication in a person previously diagnosed with type 2 diabetes.
“Diabetes remission may be occurring more often due to advances in treatment,” writing group member Amy Rothberg, MD, of the University of Michigan, Ann Arbor, said in a statement.
The group defined “remission” – whether attained via lifestyle, bariatric surgery, or other means – as an A1c < 6.5% (< 48 mmol/mol) at least 3 months after cessation of glucose-lowering pharmacotherapy. The panel also suggested monitoring individuals experiencing diabetes remission and raised questions that need further attention and study.
But it’s not a guideline, panel chair Matthew C. Riddle, MD, said in an interview. Rather, the “main purpose of the statement was to provide definitions, terminology, cut-points, and timing recommendations to allow data collection that will eventually lead to clinical guidelines,” he said.
A great deal of epidemiological research is conducted by analyzing data from medical records, he noted. “If clinicians are more consistent in entering data into the records and in doing measurements, it will be a better database.”
Remission reality: Advice needed for deprescribing, talking to patients
“Increasingly our treatments are getting glucose levels into the normal range, and in many cases, even after withdrawal of drug therapy. That’s not an anomaly or a fiction, it’s reality. Clinicians need to know how to talk to their patients about it,” noted Dr. Riddle, of the division of endocrinology, diabetes, and clinical nutrition at Oregon Health & Science University, Portland.
There is a need for data on the effects of deprescribing once normoglycemia is achieved, he said. “It really goes a long way to have strong epidemiological and interventional evidence. That’s what we need here, and that’s what the group is really hoping for.”
The statement recommends the following:
- The term “remission” should be used to describe a sustained metabolic improvement in type 2 diabetes to near normal levels. The panel agreed the word strikes the best balance, given that insulin resistance and beta-cell dysfunction may still be present despite normoglycemia. “Diabetes doesn’t get cured. The underlying abnormalities are still there. Remission is defined by glucose,” Dr. Riddle said. The panel also decided to do away with ADA’s former terms “partial,” “complete,” and “prolonged” remission because they are ambiguous and unhelpful.
- Remission should be defined as a return to an A1c of < 6.5% (< 48 mmol/mol) – the threshold used to diagnose diabetes – spontaneously or following an intervention and that persists for at least 3 months in the absence of usual glucose-lowering medication.
- When A1c may be unreliable, such as conditions involving variant hemoglobin or erythrocyte survival alterations, acceptable alternatives are a fasting blood glucose < 126 mg/dL (< 7.0 mmol/L) or an estimated A1c < 6.5% calculated from continuous glucose monitoring data.
- A1c testing to document a remission should be performed just prior to an intervention and no sooner than 3 months after initiation of the intervention and withdrawal of any glucose-lowering medication.
- Subsequent ongoing A1c testing should be done at least yearly thereafter, along with routine monitoring for diabetes-related complications, including retinal screening, renal function assessment, foot exams, and cardiovascular risk factor testing. “At present, there is no long-term evidence indicating that any of the usually recommended assessments for complications can safely be discontinued,” the authors wrote.
- Research based on the terminology and definitions in the present statement is needed to determine the frequency, duration, and effects on short- and long-term medical outcomes of type 2 diabetes remissions using available interventions.
Dr. Riddle said in an interview: “We thought that the clinical community needed to understand where this issue stands right now. The feasibility of a remission is greater than it used to be.
“We’re going to see more patients who have what we can now call a remission according to a standardized definition. In the future, there are likely to be guidelines regarding the kind of patients and the kind of tactics appropriate for seeking a remission,” he said.
The statement was simultaneously published online in each of the organizations’ respective journals: Diabetes Care, Journal of Clinical Endocrinology & Metabolism, Diabetologia, and Diabetic Medicine.
Dr. Riddle has reported receiving research grant support through Oregon Health & Science University from Eli Lilly, Novo Nordisk, and AstraZeneca and honoraria for consulting from Adocia, Intercept, and Theracos.
A version of this article first appeared on Medscape.com.
A new joint consensus statement by four major diabetes organizations aims to standardize the terminology, definition, and assessment to the phenomenon of diabetes “remission.”
The statement was jointly issued by the American Diabetes Association, the Endocrine Society, the European Association for the Study of Diabetes, and Diabetes UK.
The 12-member international writing panel proposed use of the term “remission,” as opposed to others such as “reversal,” “resolution,” or “cure,” to describe the phenomenon of prolonged normoglycemia without the use of glucose-lowering medication in a person previously diagnosed with type 2 diabetes.
“Diabetes remission may be occurring more often due to advances in treatment,” writing group member Amy Rothberg, MD, of the University of Michigan, Ann Arbor, said in a statement.
The group defined “remission” – whether attained via lifestyle, bariatric surgery, or other means – as an A1c < 6.5% (< 48 mmol/mol) at least 3 months after cessation of glucose-lowering pharmacotherapy. The panel also suggested monitoring individuals experiencing diabetes remission and raised questions that need further attention and study.
But it’s not a guideline, panel chair Matthew C. Riddle, MD, said in an interview. Rather, the “main purpose of the statement was to provide definitions, terminology, cut-points, and timing recommendations to allow data collection that will eventually lead to clinical guidelines,” he said.
A great deal of epidemiological research is conducted by analyzing data from medical records, he noted. “If clinicians are more consistent in entering data into the records and in doing measurements, it will be a better database.”
Remission reality: Advice needed for deprescribing, talking to patients
“Increasingly our treatments are getting glucose levels into the normal range, and in many cases, even after withdrawal of drug therapy. That’s not an anomaly or a fiction, it’s reality. Clinicians need to know how to talk to their patients about it,” noted Dr. Riddle, of the division of endocrinology, diabetes, and clinical nutrition at Oregon Health & Science University, Portland.
There is a need for data on the effects of deprescribing once normoglycemia is achieved, he said. “It really goes a long way to have strong epidemiological and interventional evidence. That’s what we need here, and that’s what the group is really hoping for.”
The statement recommends the following:
- The term “remission” should be used to describe a sustained metabolic improvement in type 2 diabetes to near normal levels. The panel agreed the word strikes the best balance, given that insulin resistance and beta-cell dysfunction may still be present despite normoglycemia. “Diabetes doesn’t get cured. The underlying abnormalities are still there. Remission is defined by glucose,” Dr. Riddle said. The panel also decided to do away with ADA’s former terms “partial,” “complete,” and “prolonged” remission because they are ambiguous and unhelpful.
- Remission should be defined as a return to an A1c of < 6.5% (< 48 mmol/mol) – the threshold used to diagnose diabetes – spontaneously or following an intervention and that persists for at least 3 months in the absence of usual glucose-lowering medication.
- When A1c may be unreliable, such as conditions involving variant hemoglobin or erythrocyte survival alterations, acceptable alternatives are a fasting blood glucose < 126 mg/dL (< 7.0 mmol/L) or an estimated A1c < 6.5% calculated from continuous glucose monitoring data.
- A1c testing to document a remission should be performed just prior to an intervention and no sooner than 3 months after initiation of the intervention and withdrawal of any glucose-lowering medication.
- Subsequent ongoing A1c testing should be done at least yearly thereafter, along with routine monitoring for diabetes-related complications, including retinal screening, renal function assessment, foot exams, and cardiovascular risk factor testing. “At present, there is no long-term evidence indicating that any of the usually recommended assessments for complications can safely be discontinued,” the authors wrote.
- Research based on the terminology and definitions in the present statement is needed to determine the frequency, duration, and effects on short- and long-term medical outcomes of type 2 diabetes remissions using available interventions.
Dr. Riddle said in an interview: “We thought that the clinical community needed to understand where this issue stands right now. The feasibility of a remission is greater than it used to be.
“We’re going to see more patients who have what we can now call a remission according to a standardized definition. In the future, there are likely to be guidelines regarding the kind of patients and the kind of tactics appropriate for seeking a remission,” he said.
The statement was simultaneously published online in each of the organizations’ respective journals: Diabetes Care, Journal of Clinical Endocrinology & Metabolism, Diabetologia, and Diabetic Medicine.
Dr. Riddle has reported receiving research grant support through Oregon Health & Science University from Eli Lilly, Novo Nordisk, and AstraZeneca and honoraria for consulting from Adocia, Intercept, and Theracos.
A version of this article first appeared on Medscape.com.
A new joint consensus statement by four major diabetes organizations aims to standardize the terminology, definition, and assessment to the phenomenon of diabetes “remission.”
The statement was jointly issued by the American Diabetes Association, the Endocrine Society, the European Association for the Study of Diabetes, and Diabetes UK.
The 12-member international writing panel proposed use of the term “remission,” as opposed to others such as “reversal,” “resolution,” or “cure,” to describe the phenomenon of prolonged normoglycemia without the use of glucose-lowering medication in a person previously diagnosed with type 2 diabetes.
“Diabetes remission may be occurring more often due to advances in treatment,” writing group member Amy Rothberg, MD, of the University of Michigan, Ann Arbor, said in a statement.
The group defined “remission” – whether attained via lifestyle, bariatric surgery, or other means – as an A1c < 6.5% (< 48 mmol/mol) at least 3 months after cessation of glucose-lowering pharmacotherapy. The panel also suggested monitoring individuals experiencing diabetes remission and raised questions that need further attention and study.
But it’s not a guideline, panel chair Matthew C. Riddle, MD, said in an interview. Rather, the “main purpose of the statement was to provide definitions, terminology, cut-points, and timing recommendations to allow data collection that will eventually lead to clinical guidelines,” he said.
A great deal of epidemiological research is conducted by analyzing data from medical records, he noted. “If clinicians are more consistent in entering data into the records and in doing measurements, it will be a better database.”
Remission reality: Advice needed for deprescribing, talking to patients
“Increasingly our treatments are getting glucose levels into the normal range, and in many cases, even after withdrawal of drug therapy. That’s not an anomaly or a fiction, it’s reality. Clinicians need to know how to talk to their patients about it,” noted Dr. Riddle, of the division of endocrinology, diabetes, and clinical nutrition at Oregon Health & Science University, Portland.
There is a need for data on the effects of deprescribing once normoglycemia is achieved, he said. “It really goes a long way to have strong epidemiological and interventional evidence. That’s what we need here, and that’s what the group is really hoping for.”
The statement recommends the following:
- The term “remission” should be used to describe a sustained metabolic improvement in type 2 diabetes to near normal levels. The panel agreed the word strikes the best balance, given that insulin resistance and beta-cell dysfunction may still be present despite normoglycemia. “Diabetes doesn’t get cured. The underlying abnormalities are still there. Remission is defined by glucose,” Dr. Riddle said. The panel also decided to do away with ADA’s former terms “partial,” “complete,” and “prolonged” remission because they are ambiguous and unhelpful.
- Remission should be defined as a return to an A1c of < 6.5% (< 48 mmol/mol) – the threshold used to diagnose diabetes – spontaneously or following an intervention and that persists for at least 3 months in the absence of usual glucose-lowering medication.
- When A1c may be unreliable, such as conditions involving variant hemoglobin or erythrocyte survival alterations, acceptable alternatives are a fasting blood glucose < 126 mg/dL (< 7.0 mmol/L) or an estimated A1c < 6.5% calculated from continuous glucose monitoring data.
- A1c testing to document a remission should be performed just prior to an intervention and no sooner than 3 months after initiation of the intervention and withdrawal of any glucose-lowering medication.
- Subsequent ongoing A1c testing should be done at least yearly thereafter, along with routine monitoring for diabetes-related complications, including retinal screening, renal function assessment, foot exams, and cardiovascular risk factor testing. “At present, there is no long-term evidence indicating that any of the usually recommended assessments for complications can safely be discontinued,” the authors wrote.
- Research based on the terminology and definitions in the present statement is needed to determine the frequency, duration, and effects on short- and long-term medical outcomes of type 2 diabetes remissions using available interventions.
Dr. Riddle said in an interview: “We thought that the clinical community needed to understand where this issue stands right now. The feasibility of a remission is greater than it used to be.
“We’re going to see more patients who have what we can now call a remission according to a standardized definition. In the future, there are likely to be guidelines regarding the kind of patients and the kind of tactics appropriate for seeking a remission,” he said.
The statement was simultaneously published online in each of the organizations’ respective journals: Diabetes Care, Journal of Clinical Endocrinology & Metabolism, Diabetologia, and Diabetic Medicine.
Dr. Riddle has reported receiving research grant support through Oregon Health & Science University from Eli Lilly, Novo Nordisk, and AstraZeneca and honoraria for consulting from Adocia, Intercept, and Theracos.
A version of this article first appeared on Medscape.com.
‘This food will kill you, that food will save you’
Not sure if you’ve heard the news, but eating a single hot dog will apparently cost you 36 minutes of healthy life. My first thought when hearing this was of course the same as everyone else’s: Poor Joey Chestnut, multiyear winner of Nathan’s annual hot dog–eating contest.
He won this year’s contest with 76 hot dogs, which puts his total number of competition-consumed hot dogs at 1,089 – which cost him, it would seem, 27.2 days of healthy life. Unless, of course, every hot dog he inhaled came with a bun hosting two portions of sesame seeds, which in turn would buy him 50 extra minutes of life (25 minutes per portion, you see) and would consequently have extended his life by 10.6 days.
Clearly, the obvious solution here is to ensure that all hot dog buns have two portions of sesame seeds on them moving forward; that way, hot dogs can transition from being poisonous killers to antiaging medicine.
The other solution, albeit less exciting, perhaps, is for researchers to stop studying single foods’ impacts on health, and/or for journals to stop publishing them, and/or for the media to stop promoting them – because they are all as ridiculously useless as the example above highlighting findings from a newly published study in Nature Food, entitled “Small targeted dietary changes can yield substantial gains for human health and the environment.”
While no doubt we would all love for diet and health to be so well understood that we could choose specific single foods (knowing that they would prolong our lives) while avoiding single foods that would shorten it, there’s this unfortunate truth that the degree of confounding among food alone is staggering. People eat thousands of different foods in thousands of different dietary combinations. Moreover, most (all?) research conducted on dietary impacts of single foods on health don’t actually track consumption of those specific foods over time, let alone their interactions with all other foods consumed, but rather at moments in time.
In the case of the “hot dogs will kill you unless there are sesame seeds on your bun” article, for example, the researchers utilized one solitary dietary recall session upon which to base their ridiculously specific, ridiculous conclusions.
People’s diets also change over time for various reasons, and of course people themselves are very different. You might imagine that people whose diets are rich in chicken wings, sugared soda, and hot dogs will have markedly different lifestyles and demographics than those whose diets are rich in walnuts, sashimi, and avocados.
So why do we keep seeing studies like this being published? Is it because they’re basically clickbait catnip for journals and newspapers, and in our publish-or-perish attention-seeking world, that means they not only get a pass but they get a press release? Is it because peer review is broken and everyone knows it? Is it because as a society, we’re frogs who have been steeping for decades in the ever-heated pot of nutritional nonsense, and consequently don’t think to question it?
I don’t know the answer to any of those questions, but one thing I do know: Studies on single foods’ impact on life length are pointless, impossible, and idiotic, and people who share them noncritically should be forever shunned – or at the very least, forever ignored.
Yoni Freedhoff, MD, is an associate professor of family medicine at the University of Ottawa and medical director of the Bariatric Medical Institute, a nonsurgical weight-management center.
A version of this article first appeared on Medscape.com.
Not sure if you’ve heard the news, but eating a single hot dog will apparently cost you 36 minutes of healthy life. My first thought when hearing this was of course the same as everyone else’s: Poor Joey Chestnut, multiyear winner of Nathan’s annual hot dog–eating contest.
He won this year’s contest with 76 hot dogs, which puts his total number of competition-consumed hot dogs at 1,089 – which cost him, it would seem, 27.2 days of healthy life. Unless, of course, every hot dog he inhaled came with a bun hosting two portions of sesame seeds, which in turn would buy him 50 extra minutes of life (25 minutes per portion, you see) and would consequently have extended his life by 10.6 days.
Clearly, the obvious solution here is to ensure that all hot dog buns have two portions of sesame seeds on them moving forward; that way, hot dogs can transition from being poisonous killers to antiaging medicine.
The other solution, albeit less exciting, perhaps, is for researchers to stop studying single foods’ impacts on health, and/or for journals to stop publishing them, and/or for the media to stop promoting them – because they are all as ridiculously useless as the example above highlighting findings from a newly published study in Nature Food, entitled “Small targeted dietary changes can yield substantial gains for human health and the environment.”
While no doubt we would all love for diet and health to be so well understood that we could choose specific single foods (knowing that they would prolong our lives) while avoiding single foods that would shorten it, there’s this unfortunate truth that the degree of confounding among food alone is staggering. People eat thousands of different foods in thousands of different dietary combinations. Moreover, most (all?) research conducted on dietary impacts of single foods on health don’t actually track consumption of those specific foods over time, let alone their interactions with all other foods consumed, but rather at moments in time.
In the case of the “hot dogs will kill you unless there are sesame seeds on your bun” article, for example, the researchers utilized one solitary dietary recall session upon which to base their ridiculously specific, ridiculous conclusions.
People’s diets also change over time for various reasons, and of course people themselves are very different. You might imagine that people whose diets are rich in chicken wings, sugared soda, and hot dogs will have markedly different lifestyles and demographics than those whose diets are rich in walnuts, sashimi, and avocados.
So why do we keep seeing studies like this being published? Is it because they’re basically clickbait catnip for journals and newspapers, and in our publish-or-perish attention-seeking world, that means they not only get a pass but they get a press release? Is it because peer review is broken and everyone knows it? Is it because as a society, we’re frogs who have been steeping for decades in the ever-heated pot of nutritional nonsense, and consequently don’t think to question it?
I don’t know the answer to any of those questions, but one thing I do know: Studies on single foods’ impact on life length are pointless, impossible, and idiotic, and people who share them noncritically should be forever shunned – or at the very least, forever ignored.
Yoni Freedhoff, MD, is an associate professor of family medicine at the University of Ottawa and medical director of the Bariatric Medical Institute, a nonsurgical weight-management center.
A version of this article first appeared on Medscape.com.
Not sure if you’ve heard the news, but eating a single hot dog will apparently cost you 36 minutes of healthy life. My first thought when hearing this was of course the same as everyone else’s: Poor Joey Chestnut, multiyear winner of Nathan’s annual hot dog–eating contest.
He won this year’s contest with 76 hot dogs, which puts his total number of competition-consumed hot dogs at 1,089 – which cost him, it would seem, 27.2 days of healthy life. Unless, of course, every hot dog he inhaled came with a bun hosting two portions of sesame seeds, which in turn would buy him 50 extra minutes of life (25 minutes per portion, you see) and would consequently have extended his life by 10.6 days.
Clearly, the obvious solution here is to ensure that all hot dog buns have two portions of sesame seeds on them moving forward; that way, hot dogs can transition from being poisonous killers to antiaging medicine.
The other solution, albeit less exciting, perhaps, is for researchers to stop studying single foods’ impacts on health, and/or for journals to stop publishing them, and/or for the media to stop promoting them – because they are all as ridiculously useless as the example above highlighting findings from a newly published study in Nature Food, entitled “Small targeted dietary changes can yield substantial gains for human health and the environment.”
While no doubt we would all love for diet and health to be so well understood that we could choose specific single foods (knowing that they would prolong our lives) while avoiding single foods that would shorten it, there’s this unfortunate truth that the degree of confounding among food alone is staggering. People eat thousands of different foods in thousands of different dietary combinations. Moreover, most (all?) research conducted on dietary impacts of single foods on health don’t actually track consumption of those specific foods over time, let alone their interactions with all other foods consumed, but rather at moments in time.
In the case of the “hot dogs will kill you unless there are sesame seeds on your bun” article, for example, the researchers utilized one solitary dietary recall session upon which to base their ridiculously specific, ridiculous conclusions.
People’s diets also change over time for various reasons, and of course people themselves are very different. You might imagine that people whose diets are rich in chicken wings, sugared soda, and hot dogs will have markedly different lifestyles and demographics than those whose diets are rich in walnuts, sashimi, and avocados.
So why do we keep seeing studies like this being published? Is it because they’re basically clickbait catnip for journals and newspapers, and in our publish-or-perish attention-seeking world, that means they not only get a pass but they get a press release? Is it because peer review is broken and everyone knows it? Is it because as a society, we’re frogs who have been steeping for decades in the ever-heated pot of nutritional nonsense, and consequently don’t think to question it?
I don’t know the answer to any of those questions, but one thing I do know: Studies on single foods’ impact on life length are pointless, impossible, and idiotic, and people who share them noncritically should be forever shunned – or at the very least, forever ignored.
Yoni Freedhoff, MD, is an associate professor of family medicine at the University of Ottawa and medical director of the Bariatric Medical Institute, a nonsurgical weight-management center.
A version of this article first appeared on Medscape.com.
AHA targets rising prevalence of obstructive sleep apnea in children
Obstructive sleep apnea is becoming more common in children and adolescents as the prevalence of obesity increases, but it may also be a preventable risk factor for cardiovascular disease, according to a new scientific statement from the American Heart Association.
The statement focuses on the links between OSA and CVD risk factors in children and adolescents, and reviews diagnostic strategies and treatments. The writing committee reported that 1%-6% of children and adolescents have OSA, as do up to 60% of adolescents considered obese.
The statement was created by the AHA’s Atherosclerosis, Hypertension, and Obesity in the Young subcommittee of the Council on Cardiovascular Disease in the Young and was published online in the Journal of the American Heart Association.
Carissa M. Baker-Smith, MD, chair of the writing group chair and director of pediatric preventive cardiology at Nemours Cardiac Center, Alfred I. duPont Hospital for Children, Wilmington, Del., explained the rationale for issuing the statement at this time, noting that the relationship between OSA and CVD in adults is well documented.
“There has been less focus on the importance of recognizing and treating sleep apnea in youth,” she said in an interview. “Thus, we felt that it was vitally important to get the word out to parents and to providers that paying attention to the quality and duration of your child’s sleep is vitally important to a child’s long-term heart health. Risk factors for heart disease, when present in childhood, can persist into adulthood.”
Clarity on polysomnography
For making the diagnosis of OSA in children, the statement provides clarity on the use of polysomnography and the role of the apnea-hypopnea index, which is lower in children with OSA than in adults. “One controversy, or at least as I saw it, was whether or not polysomnography testing is always required to make the diagnosis of OSA and before proceeding with tonsil and adenoid removal among children for whom enlarged tonsils and adenoids are present,” Dr. Baker-Smith said. “Polysomnography testing is not always needed before an ear, nose, and throat surgeon may recommend surgery.”
The statement also noted that history and physical examination may not yield enough reliable information to distinguish OSA from snoring.
In areas where sleep laboratories that work with children aren’t available, alternative tests such as daytime nap polysomnography, nocturnal oximetry, and nocturnal video recording may be used – with a caveat. “These alternative tests have weaker positive and negative predictive values when compared with polysomnography,” the writing committee noted. Home sleep apnea tests aren’t recommended in children. Questionnaires “are useful as screening, but not as diagnostic tools.”
Pediatric patients being evaluated for OSA should also be screened for hypertension and metabolic syndrome, as well as central nervous system and behavioral disorders. Diagnosing OSA in children and adolescents requires “a high index of suspicion,” the committee wrote.
Pediatricians and pediatric cardiologists should exercise that high index of suspicion when receiving referrals for cardiac evaluations for attention deficit hyperactivity disorder medication, Dr. Baker-Smith said. “Take the time to ask about a child’s sleep – snoring, apnea, etc. – especially if the child has obesity, difficulty focusing during the day, and if there is evidence of systemic hypertension or other signs of metabolic syndrome,” she said.
Risk factors for OSA in children
The statement also reviewed risk factors for OSA, among them obesity, particularly among children younger than 6 years. Other risk factors include upper and lower airway disease, hypotonia, parental history of hyperplasia of the adenoids and tonsils, craniofacial malformations, and neuromuscular disorders. However, the committee cited “limited data” to support that children with congenital heart disease may be at greater risk for OSA and sleep-disordered breathing (SDB).
Black children are at significantly greater risk, and socioeconomic factors “may be potential confounders,” the committee stated. Other risk factors include allergic rhinitis and sickle cell disease.
But the statement underscores that “obesity is the main risk factor” for OSA in children and adolescents, and that the presence of increased inflammation may explain this relationship. Steroids may alleviate these symptoms, even in nonobese children, and removal of the adenoids or tonsils is an option to reduce inflammation in children with OSA.
“Obesity is a significant risk factor for sleep disturbances and obstructive sleep apnea, and the severity of sleep apnea may be improved by weight-loss interventions, which then improves metabolic syndrome factors such as insulin sensitivity,” Dr. Baker-Smith said. “We need to increase awareness about how the rising prevalence of obesity may be impacting sleep quality in kids and recognize sleep-disordered breathing as something that could contribute to risks for hypertension and later cardiovascular disease.”
Children in whom OSA is suspected should also undergo screening for metabolic syndrome, and central nervous system and behavioral disorders.
Cardiovascular risks
The statement explores the connection between cardiovascular complications and SDB and OSA in depth.
“Inadequate sleep duration of < 5 hours per night in children and adolescents has been linked to an increased risk of hypertension and is also associated with an increased prevalence of obesity,” the committee wrote.
However, the statement left one question hanging: whether OSA alone or obesity cause higher BP in younger patients with OSA. But the committee concluded that BP levels increase with the severity of OSA, although the effects can vary with age. OSA in children peaks between ages 2 and 8, corresponding to the peak prevalence of hypertrophy of the tonsils and adenoids. Children aged 10-11 with more severe OSA may have BP dysregulation, while older adolescents develop higher sustained BP. Obesity may be a confounder for daytime BP elevations, while nighttime hypertension depends less on obesity and more on OSA severity.
“OSA is associated with abnormal BP in youth and, in particular, higher nighttime blood pressures and loss of the normal decline in BP that should occur during sleep,” Dr. Baker-Smith said. “Children with OSA appear to have higher BP than controls during both sleep and wake times, and BP levels increase with increasing severity of OSA.”
Nonetheless, children with OSA are at greater risk for other cardiovascular problems. Left ventricular hypertrophy may be a secondary outcome. “The presence of obstructive sleep apnea in children is associated with an 11-fold increased risk for LVH in children, a relationship not seen in the presence of primary snoring alone,” Dr. Baker-Smith said.
Dr. Baker-Smith had no relevant disclosures. Coauthor Amal Isaiah, MD, is coinventor of an imaging system for sleep apnea and receives royalties from the University of Maryland. The other coauthors have no relevant financial relationships to disclose.
Obstructive sleep apnea is becoming more common in children and adolescents as the prevalence of obesity increases, but it may also be a preventable risk factor for cardiovascular disease, according to a new scientific statement from the American Heart Association.
The statement focuses on the links between OSA and CVD risk factors in children and adolescents, and reviews diagnostic strategies and treatments. The writing committee reported that 1%-6% of children and adolescents have OSA, as do up to 60% of adolescents considered obese.
The statement was created by the AHA’s Atherosclerosis, Hypertension, and Obesity in the Young subcommittee of the Council on Cardiovascular Disease in the Young and was published online in the Journal of the American Heart Association.
Carissa M. Baker-Smith, MD, chair of the writing group chair and director of pediatric preventive cardiology at Nemours Cardiac Center, Alfred I. duPont Hospital for Children, Wilmington, Del., explained the rationale for issuing the statement at this time, noting that the relationship between OSA and CVD in adults is well documented.
“There has been less focus on the importance of recognizing and treating sleep apnea in youth,” she said in an interview. “Thus, we felt that it was vitally important to get the word out to parents and to providers that paying attention to the quality and duration of your child’s sleep is vitally important to a child’s long-term heart health. Risk factors for heart disease, when present in childhood, can persist into adulthood.”
Clarity on polysomnography
For making the diagnosis of OSA in children, the statement provides clarity on the use of polysomnography and the role of the apnea-hypopnea index, which is lower in children with OSA than in adults. “One controversy, or at least as I saw it, was whether or not polysomnography testing is always required to make the diagnosis of OSA and before proceeding with tonsil and adenoid removal among children for whom enlarged tonsils and adenoids are present,” Dr. Baker-Smith said. “Polysomnography testing is not always needed before an ear, nose, and throat surgeon may recommend surgery.”
The statement also noted that history and physical examination may not yield enough reliable information to distinguish OSA from snoring.
In areas where sleep laboratories that work with children aren’t available, alternative tests such as daytime nap polysomnography, nocturnal oximetry, and nocturnal video recording may be used – with a caveat. “These alternative tests have weaker positive and negative predictive values when compared with polysomnography,” the writing committee noted. Home sleep apnea tests aren’t recommended in children. Questionnaires “are useful as screening, but not as diagnostic tools.”
Pediatric patients being evaluated for OSA should also be screened for hypertension and metabolic syndrome, as well as central nervous system and behavioral disorders. Diagnosing OSA in children and adolescents requires “a high index of suspicion,” the committee wrote.
Pediatricians and pediatric cardiologists should exercise that high index of suspicion when receiving referrals for cardiac evaluations for attention deficit hyperactivity disorder medication, Dr. Baker-Smith said. “Take the time to ask about a child’s sleep – snoring, apnea, etc. – especially if the child has obesity, difficulty focusing during the day, and if there is evidence of systemic hypertension or other signs of metabolic syndrome,” she said.
Risk factors for OSA in children
The statement also reviewed risk factors for OSA, among them obesity, particularly among children younger than 6 years. Other risk factors include upper and lower airway disease, hypotonia, parental history of hyperplasia of the adenoids and tonsils, craniofacial malformations, and neuromuscular disorders. However, the committee cited “limited data” to support that children with congenital heart disease may be at greater risk for OSA and sleep-disordered breathing (SDB).
Black children are at significantly greater risk, and socioeconomic factors “may be potential confounders,” the committee stated. Other risk factors include allergic rhinitis and sickle cell disease.
But the statement underscores that “obesity is the main risk factor” for OSA in children and adolescents, and that the presence of increased inflammation may explain this relationship. Steroids may alleviate these symptoms, even in nonobese children, and removal of the adenoids or tonsils is an option to reduce inflammation in children with OSA.
“Obesity is a significant risk factor for sleep disturbances and obstructive sleep apnea, and the severity of sleep apnea may be improved by weight-loss interventions, which then improves metabolic syndrome factors such as insulin sensitivity,” Dr. Baker-Smith said. “We need to increase awareness about how the rising prevalence of obesity may be impacting sleep quality in kids and recognize sleep-disordered breathing as something that could contribute to risks for hypertension and later cardiovascular disease.”
Children in whom OSA is suspected should also undergo screening for metabolic syndrome, and central nervous system and behavioral disorders.
Cardiovascular risks
The statement explores the connection between cardiovascular complications and SDB and OSA in depth.
“Inadequate sleep duration of < 5 hours per night in children and adolescents has been linked to an increased risk of hypertension and is also associated with an increased prevalence of obesity,” the committee wrote.
However, the statement left one question hanging: whether OSA alone or obesity cause higher BP in younger patients with OSA. But the committee concluded that BP levels increase with the severity of OSA, although the effects can vary with age. OSA in children peaks between ages 2 and 8, corresponding to the peak prevalence of hypertrophy of the tonsils and adenoids. Children aged 10-11 with more severe OSA may have BP dysregulation, while older adolescents develop higher sustained BP. Obesity may be a confounder for daytime BP elevations, while nighttime hypertension depends less on obesity and more on OSA severity.
“OSA is associated with abnormal BP in youth and, in particular, higher nighttime blood pressures and loss of the normal decline in BP that should occur during sleep,” Dr. Baker-Smith said. “Children with OSA appear to have higher BP than controls during both sleep and wake times, and BP levels increase with increasing severity of OSA.”
Nonetheless, children with OSA are at greater risk for other cardiovascular problems. Left ventricular hypertrophy may be a secondary outcome. “The presence of obstructive sleep apnea in children is associated with an 11-fold increased risk for LVH in children, a relationship not seen in the presence of primary snoring alone,” Dr. Baker-Smith said.
Dr. Baker-Smith had no relevant disclosures. Coauthor Amal Isaiah, MD, is coinventor of an imaging system for sleep apnea and receives royalties from the University of Maryland. The other coauthors have no relevant financial relationships to disclose.
Obstructive sleep apnea is becoming more common in children and adolescents as the prevalence of obesity increases, but it may also be a preventable risk factor for cardiovascular disease, according to a new scientific statement from the American Heart Association.
The statement focuses on the links between OSA and CVD risk factors in children and adolescents, and reviews diagnostic strategies and treatments. The writing committee reported that 1%-6% of children and adolescents have OSA, as do up to 60% of adolescents considered obese.
The statement was created by the AHA’s Atherosclerosis, Hypertension, and Obesity in the Young subcommittee of the Council on Cardiovascular Disease in the Young and was published online in the Journal of the American Heart Association.
Carissa M. Baker-Smith, MD, chair of the writing group chair and director of pediatric preventive cardiology at Nemours Cardiac Center, Alfred I. duPont Hospital for Children, Wilmington, Del., explained the rationale for issuing the statement at this time, noting that the relationship between OSA and CVD in adults is well documented.
“There has been less focus on the importance of recognizing and treating sleep apnea in youth,” she said in an interview. “Thus, we felt that it was vitally important to get the word out to parents and to providers that paying attention to the quality and duration of your child’s sleep is vitally important to a child’s long-term heart health. Risk factors for heart disease, when present in childhood, can persist into adulthood.”
Clarity on polysomnography
For making the diagnosis of OSA in children, the statement provides clarity on the use of polysomnography and the role of the apnea-hypopnea index, which is lower in children with OSA than in adults. “One controversy, or at least as I saw it, was whether or not polysomnography testing is always required to make the diagnosis of OSA and before proceeding with tonsil and adenoid removal among children for whom enlarged tonsils and adenoids are present,” Dr. Baker-Smith said. “Polysomnography testing is not always needed before an ear, nose, and throat surgeon may recommend surgery.”
The statement also noted that history and physical examination may not yield enough reliable information to distinguish OSA from snoring.
In areas where sleep laboratories that work with children aren’t available, alternative tests such as daytime nap polysomnography, nocturnal oximetry, and nocturnal video recording may be used – with a caveat. “These alternative tests have weaker positive and negative predictive values when compared with polysomnography,” the writing committee noted. Home sleep apnea tests aren’t recommended in children. Questionnaires “are useful as screening, but not as diagnostic tools.”
Pediatric patients being evaluated for OSA should also be screened for hypertension and metabolic syndrome, as well as central nervous system and behavioral disorders. Diagnosing OSA in children and adolescents requires “a high index of suspicion,” the committee wrote.
Pediatricians and pediatric cardiologists should exercise that high index of suspicion when receiving referrals for cardiac evaluations for attention deficit hyperactivity disorder medication, Dr. Baker-Smith said. “Take the time to ask about a child’s sleep – snoring, apnea, etc. – especially if the child has obesity, difficulty focusing during the day, and if there is evidence of systemic hypertension or other signs of metabolic syndrome,” she said.
Risk factors for OSA in children
The statement also reviewed risk factors for OSA, among them obesity, particularly among children younger than 6 years. Other risk factors include upper and lower airway disease, hypotonia, parental history of hyperplasia of the adenoids and tonsils, craniofacial malformations, and neuromuscular disorders. However, the committee cited “limited data” to support that children with congenital heart disease may be at greater risk for OSA and sleep-disordered breathing (SDB).
Black children are at significantly greater risk, and socioeconomic factors “may be potential confounders,” the committee stated. Other risk factors include allergic rhinitis and sickle cell disease.
But the statement underscores that “obesity is the main risk factor” for OSA in children and adolescents, and that the presence of increased inflammation may explain this relationship. Steroids may alleviate these symptoms, even in nonobese children, and removal of the adenoids or tonsils is an option to reduce inflammation in children with OSA.
“Obesity is a significant risk factor for sleep disturbances and obstructive sleep apnea, and the severity of sleep apnea may be improved by weight-loss interventions, which then improves metabolic syndrome factors such as insulin sensitivity,” Dr. Baker-Smith said. “We need to increase awareness about how the rising prevalence of obesity may be impacting sleep quality in kids and recognize sleep-disordered breathing as something that could contribute to risks for hypertension and later cardiovascular disease.”
Children in whom OSA is suspected should also undergo screening for metabolic syndrome, and central nervous system and behavioral disorders.
Cardiovascular risks
The statement explores the connection between cardiovascular complications and SDB and OSA in depth.
“Inadequate sleep duration of < 5 hours per night in children and adolescents has been linked to an increased risk of hypertension and is also associated with an increased prevalence of obesity,” the committee wrote.
However, the statement left one question hanging: whether OSA alone or obesity cause higher BP in younger patients with OSA. But the committee concluded that BP levels increase with the severity of OSA, although the effects can vary with age. OSA in children peaks between ages 2 and 8, corresponding to the peak prevalence of hypertrophy of the tonsils and adenoids. Children aged 10-11 with more severe OSA may have BP dysregulation, while older adolescents develop higher sustained BP. Obesity may be a confounder for daytime BP elevations, while nighttime hypertension depends less on obesity and more on OSA severity.
“OSA is associated with abnormal BP in youth and, in particular, higher nighttime blood pressures and loss of the normal decline in BP that should occur during sleep,” Dr. Baker-Smith said. “Children with OSA appear to have higher BP than controls during both sleep and wake times, and BP levels increase with increasing severity of OSA.”
Nonetheless, children with OSA are at greater risk for other cardiovascular problems. Left ventricular hypertrophy may be a secondary outcome. “The presence of obstructive sleep apnea in children is associated with an 11-fold increased risk for LVH in children, a relationship not seen in the presence of primary snoring alone,” Dr. Baker-Smith said.
Dr. Baker-Smith had no relevant disclosures. Coauthor Amal Isaiah, MD, is coinventor of an imaging system for sleep apnea and receives royalties from the University of Maryland. The other coauthors have no relevant financial relationships to disclose.
FROM JOURNAL OF THE AMERICAN HEART ASSOCIATION
Prevalence of youth-onset diabetes climbing, type 2 disease more so in racial/ethnic minorities
The prevalence of youth-onset diabetes in the United States rose significantly from 2001 to 2017, with rates of type 2 diabetes climbing disproportionately among racial/ethnic minorities, according to investigators.
In individuals aged 19 years or younger, prevalence rates of type 1 and type 2 diabetes increased 45.1% and 95.3%, respectively, reported lead author Jean M. Lawrence, ScD, MPH, MSSA, program director of the division of diabetes, endocrinology, and metabolic diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Md., and colleagues.
“Elucidating differences in diabetes prevalence trends by diabetes type and demographic characteristics is essential to describe the burden of disease and to estimate current and future resource needs,” Dr. Lawrence and colleagues wrote in JAMA.
The retrospective analysis was a part of the ongoing SEARCH study, which includes data from individuals in six areas across the United States: Colorado, California, Ohio, South Carolina, Washington state, and Arizona/New Mexico (Indian Health Services). In the present report, three prevalence years were evaluated: 2001, 2009, and 2017. For each year, approximately 3.5 million youths were included. Findings were reported in terms of diabetes type, race/ethnicity, age at diagnosis, and sex.
Absolute prevalence of type 1 diabetes per 1,000 youths increased from 1.48 in 2001, to 1.93 in 2009, and finally 2.15 in 2017. Across the 16-year period, this represents an absolute increase of 0.67 (95% confidence interval, 0.64-0.70), and a relative increase of 45.1% (95% CI, 40.0%-50.4%). In absolute terms, prevalence increased most among non-Hispanic White (0.93 per 1,000) and non-Hispanic Black (0.89 per 1,000) youths.
While type 2 diabetes was comparatively less common than type 1 diabetes, absolute prevalence per 1,000 youths increased to a greater degree, rising from 0.34 in 2001 to 0.46 in 2009 and to 0.67 in 2017. This amounts to relative increase across the period of 95.3% (95% CI, 77.0%-115.4%). Absolute increases were disproportionate among racial/ethnic minorities, particularly Black and Hispanic youths, who had absolute increases per 1,000 youths of 0.85 (95% CI, 0.74-0.97) and 0.57 (95% CI, 0.51-0.64), respectively, compared with 0.05 (95% CI, 0.03-0.07) for White youths.
“Increases [among Black and Hispanic youths] were not linear,” the investigators noted. “Hispanic youths had a significantly greater increase in the first interval compared with the second interval, while Black youths had no significant increase in the first interval and a significant increase in the second interval.”
Dr. Lawrence and colleagues offered several possible factors driving these trends in type 2 diabetes.
“Changes in anthropometric risk factors appear to play a significant role,” they wrote, noting that “Black and Mexican American teenagers experienced the greatest increase in prevalence of obesity/severe obesity from 1999 to 2018, which may contribute to race and ethnicity differences. Other contributing factors may include increases in exposure to maternal obesity and diabetes (gestational and type 2 diabetes) and exposure to environmental chemicals.”
According to Megan Kelsey, MD, associate professor of pediatric endocrinology, director of lifestyle medicine endocrinology, and medical director of the bariatric surgery center at Children’s Hospital Colorado, Aurora, the increased rates of type 2 diabetes reported by the study are alarming, yet they pale in comparison with what’s been happening since the pandemic began.
“Individual institutions have reported anywhere between a 50% – which is basically what we’re seeing at our hospital – to a 300% increase in new diagnoses [of type 2 diabetes] in a single-year time period,” Dr. Kelsey said in an interview. “So what is reported [in the present study] doesn’t even get at what’s been going on over the past year and a half.”
Dr. Kelsey offered some speculative drivers of this recent surge in cases, including stress, weight gain caused by sedentary behavior and more access to food, and the possibility that SARS-CoV-2 may infect pancreatic islet beta cells, thereby interfering with insulin production.
Type 2 diabetes is particularly concerning among young people, Dr. Kelsey noted, as it is more challenging to manage than adult-onset disease.
Young patients “also develop complications much sooner than you’d expect,” she added. “So we really need to understand why these rates are increasing, how we can identify kids at risk, and how we can better prevent it, so we aren’t stuck with a disease that’s really difficult to treat.”
To this end, the NIH recently opened applications for investigators to participate in a prospective longitudinal study of youth-onset type 2 diabetes. Young people at risk of diabetes will be followed through puberty, a period of increased risk, according to Dr. Kelsey.
“The goal will be to take kids who don’t yet have [type 2] diabetes, but are at risk, and try to better understand, as some of them progress to developing diabetes, what is going on,” Dr. Kelsey said. “What are other factors that we can use to better predict who’s going to develop diabetes? And can we use the information from this [upcoming] study to understand how to better prevent it? Because nothing that has been tried so far has worked.”
The study was supported by the Centers for Disease Control and Prevention, NIDDK, and others. The investigators and Dr. Kelsey reported no conflicts of interest.
The prevalence of youth-onset diabetes in the United States rose significantly from 2001 to 2017, with rates of type 2 diabetes climbing disproportionately among racial/ethnic minorities, according to investigators.
In individuals aged 19 years or younger, prevalence rates of type 1 and type 2 diabetes increased 45.1% and 95.3%, respectively, reported lead author Jean M. Lawrence, ScD, MPH, MSSA, program director of the division of diabetes, endocrinology, and metabolic diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Md., and colleagues.
“Elucidating differences in diabetes prevalence trends by diabetes type and demographic characteristics is essential to describe the burden of disease and to estimate current and future resource needs,” Dr. Lawrence and colleagues wrote in JAMA.
The retrospective analysis was a part of the ongoing SEARCH study, which includes data from individuals in six areas across the United States: Colorado, California, Ohio, South Carolina, Washington state, and Arizona/New Mexico (Indian Health Services). In the present report, three prevalence years were evaluated: 2001, 2009, and 2017. For each year, approximately 3.5 million youths were included. Findings were reported in terms of diabetes type, race/ethnicity, age at diagnosis, and sex.
Absolute prevalence of type 1 diabetes per 1,000 youths increased from 1.48 in 2001, to 1.93 in 2009, and finally 2.15 in 2017. Across the 16-year period, this represents an absolute increase of 0.67 (95% confidence interval, 0.64-0.70), and a relative increase of 45.1% (95% CI, 40.0%-50.4%). In absolute terms, prevalence increased most among non-Hispanic White (0.93 per 1,000) and non-Hispanic Black (0.89 per 1,000) youths.
While type 2 diabetes was comparatively less common than type 1 diabetes, absolute prevalence per 1,000 youths increased to a greater degree, rising from 0.34 in 2001 to 0.46 in 2009 and to 0.67 in 2017. This amounts to relative increase across the period of 95.3% (95% CI, 77.0%-115.4%). Absolute increases were disproportionate among racial/ethnic minorities, particularly Black and Hispanic youths, who had absolute increases per 1,000 youths of 0.85 (95% CI, 0.74-0.97) and 0.57 (95% CI, 0.51-0.64), respectively, compared with 0.05 (95% CI, 0.03-0.07) for White youths.
“Increases [among Black and Hispanic youths] were not linear,” the investigators noted. “Hispanic youths had a significantly greater increase in the first interval compared with the second interval, while Black youths had no significant increase in the first interval and a significant increase in the second interval.”
Dr. Lawrence and colleagues offered several possible factors driving these trends in type 2 diabetes.
“Changes in anthropometric risk factors appear to play a significant role,” they wrote, noting that “Black and Mexican American teenagers experienced the greatest increase in prevalence of obesity/severe obesity from 1999 to 2018, which may contribute to race and ethnicity differences. Other contributing factors may include increases in exposure to maternal obesity and diabetes (gestational and type 2 diabetes) and exposure to environmental chemicals.”
According to Megan Kelsey, MD, associate professor of pediatric endocrinology, director of lifestyle medicine endocrinology, and medical director of the bariatric surgery center at Children’s Hospital Colorado, Aurora, the increased rates of type 2 diabetes reported by the study are alarming, yet they pale in comparison with what’s been happening since the pandemic began.
“Individual institutions have reported anywhere between a 50% – which is basically what we’re seeing at our hospital – to a 300% increase in new diagnoses [of type 2 diabetes] in a single-year time period,” Dr. Kelsey said in an interview. “So what is reported [in the present study] doesn’t even get at what’s been going on over the past year and a half.”
Dr. Kelsey offered some speculative drivers of this recent surge in cases, including stress, weight gain caused by sedentary behavior and more access to food, and the possibility that SARS-CoV-2 may infect pancreatic islet beta cells, thereby interfering with insulin production.
Type 2 diabetes is particularly concerning among young people, Dr. Kelsey noted, as it is more challenging to manage than adult-onset disease.
Young patients “also develop complications much sooner than you’d expect,” she added. “So we really need to understand why these rates are increasing, how we can identify kids at risk, and how we can better prevent it, so we aren’t stuck with a disease that’s really difficult to treat.”
To this end, the NIH recently opened applications for investigators to participate in a prospective longitudinal study of youth-onset type 2 diabetes. Young people at risk of diabetes will be followed through puberty, a period of increased risk, according to Dr. Kelsey.
“The goal will be to take kids who don’t yet have [type 2] diabetes, but are at risk, and try to better understand, as some of them progress to developing diabetes, what is going on,” Dr. Kelsey said. “What are other factors that we can use to better predict who’s going to develop diabetes? And can we use the information from this [upcoming] study to understand how to better prevent it? Because nothing that has been tried so far has worked.”
The study was supported by the Centers for Disease Control and Prevention, NIDDK, and others. The investigators and Dr. Kelsey reported no conflicts of interest.
The prevalence of youth-onset diabetes in the United States rose significantly from 2001 to 2017, with rates of type 2 diabetes climbing disproportionately among racial/ethnic minorities, according to investigators.
In individuals aged 19 years or younger, prevalence rates of type 1 and type 2 diabetes increased 45.1% and 95.3%, respectively, reported lead author Jean M. Lawrence, ScD, MPH, MSSA, program director of the division of diabetes, endocrinology, and metabolic diseases at the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Md., and colleagues.
“Elucidating differences in diabetes prevalence trends by diabetes type and demographic characteristics is essential to describe the burden of disease and to estimate current and future resource needs,” Dr. Lawrence and colleagues wrote in JAMA.
The retrospective analysis was a part of the ongoing SEARCH study, which includes data from individuals in six areas across the United States: Colorado, California, Ohio, South Carolina, Washington state, and Arizona/New Mexico (Indian Health Services). In the present report, three prevalence years were evaluated: 2001, 2009, and 2017. For each year, approximately 3.5 million youths were included. Findings were reported in terms of diabetes type, race/ethnicity, age at diagnosis, and sex.
Absolute prevalence of type 1 diabetes per 1,000 youths increased from 1.48 in 2001, to 1.93 in 2009, and finally 2.15 in 2017. Across the 16-year period, this represents an absolute increase of 0.67 (95% confidence interval, 0.64-0.70), and a relative increase of 45.1% (95% CI, 40.0%-50.4%). In absolute terms, prevalence increased most among non-Hispanic White (0.93 per 1,000) and non-Hispanic Black (0.89 per 1,000) youths.
While type 2 diabetes was comparatively less common than type 1 diabetes, absolute prevalence per 1,000 youths increased to a greater degree, rising from 0.34 in 2001 to 0.46 in 2009 and to 0.67 in 2017. This amounts to relative increase across the period of 95.3% (95% CI, 77.0%-115.4%). Absolute increases were disproportionate among racial/ethnic minorities, particularly Black and Hispanic youths, who had absolute increases per 1,000 youths of 0.85 (95% CI, 0.74-0.97) and 0.57 (95% CI, 0.51-0.64), respectively, compared with 0.05 (95% CI, 0.03-0.07) for White youths.
“Increases [among Black and Hispanic youths] were not linear,” the investigators noted. “Hispanic youths had a significantly greater increase in the first interval compared with the second interval, while Black youths had no significant increase in the first interval and a significant increase in the second interval.”
Dr. Lawrence and colleagues offered several possible factors driving these trends in type 2 diabetes.
“Changes in anthropometric risk factors appear to play a significant role,” they wrote, noting that “Black and Mexican American teenagers experienced the greatest increase in prevalence of obesity/severe obesity from 1999 to 2018, which may contribute to race and ethnicity differences. Other contributing factors may include increases in exposure to maternal obesity and diabetes (gestational and type 2 diabetes) and exposure to environmental chemicals.”
According to Megan Kelsey, MD, associate professor of pediatric endocrinology, director of lifestyle medicine endocrinology, and medical director of the bariatric surgery center at Children’s Hospital Colorado, Aurora, the increased rates of type 2 diabetes reported by the study are alarming, yet they pale in comparison with what’s been happening since the pandemic began.
“Individual institutions have reported anywhere between a 50% – which is basically what we’re seeing at our hospital – to a 300% increase in new diagnoses [of type 2 diabetes] in a single-year time period,” Dr. Kelsey said in an interview. “So what is reported [in the present study] doesn’t even get at what’s been going on over the past year and a half.”
Dr. Kelsey offered some speculative drivers of this recent surge in cases, including stress, weight gain caused by sedentary behavior and more access to food, and the possibility that SARS-CoV-2 may infect pancreatic islet beta cells, thereby interfering with insulin production.
Type 2 diabetes is particularly concerning among young people, Dr. Kelsey noted, as it is more challenging to manage than adult-onset disease.
Young patients “also develop complications much sooner than you’d expect,” she added. “So we really need to understand why these rates are increasing, how we can identify kids at risk, and how we can better prevent it, so we aren’t stuck with a disease that’s really difficult to treat.”
To this end, the NIH recently opened applications for investigators to participate in a prospective longitudinal study of youth-onset type 2 diabetes. Young people at risk of diabetes will be followed through puberty, a period of increased risk, according to Dr. Kelsey.
“The goal will be to take kids who don’t yet have [type 2] diabetes, but are at risk, and try to better understand, as some of them progress to developing diabetes, what is going on,” Dr. Kelsey said. “What are other factors that we can use to better predict who’s going to develop diabetes? And can we use the information from this [upcoming] study to understand how to better prevent it? Because nothing that has been tried so far has worked.”
The study was supported by the Centers for Disease Control and Prevention, NIDDK, and others. The investigators and Dr. Kelsey reported no conflicts of interest.
FROM JAMA