Clinical Impact of Infra-Low Frequency Neurofeedback on Combat Veterans With Chronic Postconcussive Symptoms

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Clinical Impact of Infra-Low Frequency Neurofeedback on Combat Veterans With Chronic Postconcussive Symptoms

Traumatic brain injury (TBI) is the signature injury of post-9/11 military operations, impacting > 441,000 combat veterans from 2001 to 2021 and 87% diagnosed with mild TBI (mTBI).1,2 The most common cause of mTBI during these operations was blast exposures stemming from improvised explosive devices, rocket-propelled grenades, or land mines. mTBI was once thought to be self-limiting, lasting hours or days postinjury, but is now recognized as a complex focal and diffuse injury causing a cascade of molecular and biochemical responses with significant physiologic effects lasting for a longer duration. A significant number of combat veterans with mTBI (23%-48%) experience long-standing postconcussive symptoms (PCSs) for many years postinjury.3-5

Developing and implementing strategies to reduce persistent symptoms associated with mTBI is of critical importance. Veterans diagnosed with mTBI and experiencing PCSs present ongoing treatment challenges to the health care system due to limited or suboptimal treatment options.6,7 According to the 2021 US Department of Veterans Affairs (VA) and US Department of Defense (DoD) clinical guidelines for postacute mTBI, treatment for PCSs should be symptom focused. 8,9 For instance, veterans with migraine headaches associated with mTBIs are often treated with abortive agents (eg, triptans) and preventive medications (eg, anticonvulsants and tricyclics).10 Cognitive dysfunction and insomnia are treated with cognitive rehabilitation programs, cognitive behaviorial therapy, occupational therapy, and medications (eg, hypnotics for insomnia).11,12 The 2021 VA/DoD guidelines note that veteran and military focus groups described greater success with nonpharmacologic treatments than with pharmacologic treatments.8 The VA launched an enterprise-wide Whole Health Service program with the requirement that complementary and integrative health approaches must be available to veterans.13 As a nonpharmacologic, integrative, and noninvasive modality, neurofeedback (NFB) supports the VA Whole Health initiative and veterans’ preferences for integrative treatments.14

Neurofeedback

Rather than a symptom management approach, Defina et al described the possibilities of brain repair in TBI by treatments to enhance neuroplasticity, thereby establishing a more normalized or stable brain environment and enabling the brain to reorganize itself and function more normally.15 NFB has been shown to influence neuroplasticity,16 as evident in microstructural changes in white and gray matter17 and its ability to contribute to functional rehabilitation by restoring connectivity in specific areas of the brain that may have been impaired.18 The benefits of neuroenhancement strategies include potentially reduced pain for patients with mTBI and improved quality of life (QOL).19

NFB assists individuals by helping them become more aware of and self-regulate their physiology.20,21 Because there are several types of NFB (eg, quantitative electroencephalography, Z-scored, α-θ) that differ in terms of equipment, mechanism of action, focus, and patient and clinician procedures, it is important to note that this study used a novel technologically advanced form of NFB, referred to as infra-low frequency (ILF) NFB. It works by reflecting a person’s brain wave activity via conventional electroencephalography back to the person through the visual cortex, thus providing relevant information to which the brain responds to improve core state regulation.22

In 2006, ILF NFB developers sought to extend NFB capability into the slow cortical potential domain (< 0.1 Hz) and then gradually extended to lower frequencies on the basis of favorable clinical responses.22,23 In 2017, the technology reached an ILF capacity that appeared to be helpful for several clinical issues. These developments depended on instrumentation capable of low noise signal detection down to the lowest frequency of interest. Instrumentation was developed for the purpose (eg, Bee Medic Cygnet NFB).

Although mTBI has been a clinical focus in NFB since the 1980s, there are few published studies demonstrating the efficacy of ILF NFB relating to the PCSs of interest in this study, and 2 suggested ILF NFB positively affected change in PCS severity.24,25 Other studies found that ILF NFB decreased incidence of migraines and tension type headaches.26,27 However, the findings of these studies had limited generalizability due to methodologic limitations, such as selection bias and small sample sizes.24-27 Of importance to this article, there are also several publications on the efficacy of ILF NFB in clinical settings.28-33

This article presents the second analysis of data from veterans who completed ILF NFB intervention and control group procedures during a 5-year randomized controlled trial (RCT). The RCT included veterans who experienced an mTBI while participating in post-9/11 military operations to evaluate the impact of ILF NFB on chronic PCSs, including headache, insomnia, and attention dysfunction. Initial results of this trial demonstrated significant differences between the intervention and control groups with strong effect sizes on all outcome measures at the end of treatment.34

Methods

Participants included male and nonpregnant female veterans with a diagnosed mTBI during post-9/11 military operations; aged 18 to 65 years; reports of persistent (ie, > 3 months in duration) headaches, insomnia, and attention difficulties; and able to read and write English, comprehend what is read, and follow directions. mTBI diagnosis was verified for each veteran via the electronic health record. Patients were excluded if they had a severe TBI diagnosis or impaired decision-making capacity; were unable to comply with study visit schedule; or endorsed active suicidal intent on the Columbia-Suicide Severity Rating Scale.35

Recruitment efforts included: (1) letters sent to eligible veterans with mTBI who were identified by clinical informatics data after waiver of Health Insurance Portability and Accountability Act was obtained; veterans could contact the research team directly or the research team would call the veteran 2 weeks after the letter was sent; (2) veterans could be referred by a clinician; and (3) veterans could self-refer based on flyers and other study marketing materials.

The study was conducted from 2019 to 2024 at Spark M. Matsunaga VA Medical Center, in Honolulu, Hawaii. Four private research spaces in compliance with human research standards were used for consent, treatment, and assessment.

Consenting Procedure and Randomization

The privacy rights of potential participants were observed, and interested veterans who met the eligibility criteria underwent an informed consent procedure and were administered the Columbia-Suicide Severity Rating Scale.35 Those veterans not indicating active suicidal intent were randomized into the intervention or control group. Once randomized, the participant was enrolled and scheduled for baseline assessment.

All procedures of this study were performed in adherence with relevant laws and institutional guidelines. The study was reviewed and approved by the VA Pacific Islands Health Care System Institutional Review Board (#2019-06-JC/Promise 0003).

Outcome Measures

The outcome measures were administered at baseline, midpoint (3-7 weeks), end of treatment (6-12 weeks), and at a 2-month follow-up appointment with the research assistant or project coordinator.

The primary outcome measures include the Headache Impact Test (HIT-6), TBIQOL Headache Pain item short form, Insomnia Severity Index (ISI), Quality of Life in Neurological Disorders (Neuro-QOL) Sleep Disturbance short form, and attention measure: QIKtest Continuous Performance Test (QIKtest) (Table 1).36-44

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Secondary outcome measures included QOL After Brain Injury (QOLIBRI), Neuro- QOL Satisfaction With Roles/Activities short form (Neuro-QOL Satisfaction), Neuro-QOL Ability to Participate in Roles/Activities short form (Neuro-QOL Participate), Depression Anxiety Stress Scales (DASS-21), Patient Health Questionnaire-9 (PHQ-9), Posttraumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5), and the General Symptom Inventory (eAppendix 1).39,42,45-52

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Sample

Seventy-two participants (36 in each group) were needed to have adequate statistical power for the analysis. Presuming attrition, the goal was to recruit 100 veterans. Literature on NFB studies of patients with mTBI have reported dropout rates ranging from 10% to 30%.53,54 Assuming a dropout rate of 28% and a moderate autocorrelation of 0.6 among repeated measures, this sample size ensured the detection of an average difference of at least 0.49 SDs with a power of 80% in the NFB intervention group compared with the control group using a 2-tailed significance level of 0.05.

Control Group

Following baseline assessment, control group participants received 8 phone calls (1 call/wk) from 1 of 4 clinical investigators over 8 to 10 weeks. During each 15-minute call, 1 of the following health topics was discussed: sleep hygiene, basic nutritional concepts, beverage choices, positive thinking, thought reframing, fitness, daily calming activity, and enhancement of focus strategies. A script for each topic was used to guide each call.

Intervention Group

Following baseline assessment, intervention group participants completed 20 half-hour ILF NFB sessions, typically receiving 3 sessions per week over an 8- to 10-week period. ILF NFB treatments were administered by 1 of 4 licensed health care employees who had received substantial ILF NFB training and achieved a skill reliability index score of 0.95, ensuring the skill level of the ILF NFB providers was equal. A script was used by the ILF NFB providers during the ILF NFB sessions to keep the interaction approach consistent with all participants.

All procedures were explained in advance to participants and voluntary participation affirmed. At the first session, participants filled out a clinical symptom checklist of 5 symptoms (eAppendix 1).39,42,45-49 The initial rating on the symptom checklist was reflective of their experience over the past month, while in each subsequent session, participants indicated their experience of those symptoms that day. ILF NFB providers were never privy to participants’ primary or secondary outcome measures data during the study, so these recurring clinical symptom checklist ratings, as well as other feedback provided by participants on their experience within and between sessions, were the clinical data used to make decisions about ILF NFB treatment protocol.

The Othmer Optimal Response Frequency (ORF) protocol was used for participants in this study.55 Through an iterative process, ORF protocol establishes the specific frequency point along the 0.000001 mHz to 0.1 Hz continuum, which is optimal to diminish symptoms experienced in real-time during the session (eg, tension or pain in shoulders; racing thoughts).

During each ILF NFB session, participants were seated comfortably and encouraged to look at the feedback screen. The moving images on the game screen provided almost instantaneous feedback (within 500 ms) to participants about their brain functioning, as ascertained by electrodes placed on the scalp as dictated by study protocol.56 A standardized protocol for site placement was used beginning with T3-T4, followed by the weekly addition of a site as tolerated in the following sequence: T4-P4, FP2-T4, and FP1-T4. More information about the ILF NFB procedures are outlined in the report of the pilot study and RCT initial results.22,34

Statistical Analysis

Eighty-seven participants were randomized, with 43 assigned to the intervention group and 44 to the control group to achieve the enrollment goal of ≥ 36 participants in each group. This report is the second analysis of data from this RCT that employed a per-protocol approach, analyzing a subset of participants who fully adhered to the study protocol and completed all study procedures. Outcome scores at baseline, midpoint, end of treatment, and 2-month follow-up were summarized as means with corresponding 95% CIs. Group comparisons at the end of treatment and 2-month follow-up time points were conducted using 2-sample t tests. All statistical tests were 2-sided with a significance level of .05 (Type I error rate). SAS software version 9.4 Maintenance 8 was used for statistical analysis. Cohen d analyses were used for effect sizes.

Results

Seventy-four participants fully adhered to the study protocol and were included in the present analyses, with 38 in the control group and 36 in the intervention group. eAppendix 2 depicts the flow of participants through this study. There were no adverse events related to treatment, and the 13 participants who withdrew typically reported difficulty with scheduling or transportation as the primary reason. This study also took place during the COVID-19 pandemic, which likely had some impact on enrollment; participants were differentially impacted by changes in employment and moves to the continental United States.

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Participants were aged 30 to 60 years (mean [SD], 45.4 [8.0]). Most participants (90.5%) were male, and multiracial and White were the most common racial identities (Table 2). Participant characteristics were largely balanced across randomized groups. Similarly, test scores on the primary variables of interest in this study and secondary clinical variables assessed were comparable across participants (Table 3).

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Primary Variables of Interest Analyses

This study’s hypothesis was that those who completed ILF NFB treatment per protocol would demonstrate statistically significant improvement in symptoms related to headaches, sleep disturbance, and difficulty with attention when compared with veterans in the control group. This hypothesis was partially supported. A 2-sample t test showed that veterans in the intervention group demonstrated significant improvement in headache symptoms compared with veterans in the control group on the HIT-6 at the end-of-treatment (P < .001, d = 1.53) and 2-month follow-up assessment (P < .001, d = 1.14). This pattern also was consistent with the TBI-QOL Headache Pain item short form, with veterans in the intervention group showing improvement beyond those in the control group at the end-of-treatment (P < .001, d = 0.89) and 2-month follow-up assessment (P < .001, d = 0.83). Two-sample t tests also demonstrated significant improvement in subjective reports of sleep; those in the intervention group had significantly lower scores on the ISI at the end-of-study (P < .001, d = 1.53) and 2-month follow-up assessment (P < .001, d = 0.97). This pattern also held true for the Neuro-QOL Sleep Disturbance short form subtest, which demonstrated significantly more improvement in the intervention group compared with the control group at the end-of-study (P < .001, d = 0.97) and 2-month follow- up assessment (P < .001, d = 0.92). improvement in attention was not supported by the present results. A 2-sample t test found no significant difference between performance on the QIKtest for veterans in the intervention group vs the control group at the end-of-study (P = .40, d = 0.19) or the 2-month follow-up (P = .43, d = 0.20) (eAppendix 3).

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Secondary Variables of Interest Analysis

Secondary variables examined differences in QOL, PTSD, depressive symptoms, and general symptoms reported between veterans in the intervention and control groups. Results demonstrated that veterans in the intervention group showed improvement above and beyond those in the control group on all measures. In regard to QOL, veterans in the intervention group had significantly higher scores on the Neuro-QOL Participate subtest than those in the control group at the end-of-study (P = .01, d = 0.89) and 2-month follow-up assessment (P < .001, d = 0.62). A similar pattern was found for the Neuro-QOL Satisfaction subtest, with veterans in the intervention group showing significantly higher scores than those in the control group at the end-of-study (P = .001, d = 0.95) and 2-month follow-up assessment (P < .001, d = 0.62). This also held true on the QOLIBRI, with veterans in the intervention group demonstrating significantly higher scores than those in the control group at the end-of-study (P = .001, d = 0.92) and 2-month follow-up assessment (P < .001, d = 0.66).

Veterans in the intervention group had significantly lower scores on the PCL-5 than those in the control group at the end-of- study (P = .003, d = 0.78) and 2-month follow-up assessment (P = .001, d = 0.72). Veterans in the intervention group also had significantly lower scores on the PHQ-9 than those in the control group at the end-of-study (P < .001, d = 0.98) and 2-month follow-up assessment (P < .001, d = 0.83). Veterans in the intervention group had significantly lower scores on the DASS- 21 than those in the control group at the end-of-study (P = .002, d = 0.80) and 2-month follow-up assessment (P = .001, d = 0.77). They also had significantly lower scores on the General Symptom Inventory than those in the control group at the end-of-study (P = .02, d = 0.75) and 2-month follow-up assessment (P = .002, d = 0.57). A clinically significant shift of score occurred for each of the measures except DASS-21 (eAppendix 3). eAppendix 4 depicts the change in scores for the intervention group at the end of treatment and the clinically significant shift score of each measure.

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Discussion

The results of this RCT revealed a promising impact of ILF NFB on the commonly experienced persistent PCSs of headaches and disrupted sleep. Veterans in the intervention group demonstrated statistically significant improvement in headache symptoms compared with veterans in the control group when assessed at the end of treatment and during a 2-month follow-up. The statistical significance of these improvements was also supported by large or very large effect sizes. In addition to these primary variables of interest, veterans in the intervention group notably demonstrated significant improvement compared with those in the control group in a number of secondary clinical measures, including QOL, traumatic stress-related symptoms, depressive symptoms, and general symptom report. The clinical impact was further supported by the clinically relevant shift in scores in the intervention group.

The data did not support the hypothesis that attention concerns would show significant improvement following ILF NFB. Performance on an attention measure did not differ significantly between groups at either the end-of-treatment or 2-month follow up assessment. The QIKtest, a continuous performance test used to measure attention, was a go/no-go task and calculated based on a combination of various types of errors and outlier responses. The stimulus for this task is a series of computerized, blinking lights, for which participants are tasked with discriminating targets and nontargets under time pressure. However, the order of the stimuli are consistent across administrations, rather than being randomized, introducing a potential confound of practice effects on this task since patients were administered the QIKtest 3 times in a 2-month period and again 2 months later. Veterans in the control group notably improved in their average performance of this task from baseline to the endpoint of their treatment participation and demonstrated further improvement at the 2-month follow-up assessment; this pattern would be consistent with potential practice effects and warrants caution in its interpretation for both groups.

Previously published ILF NFB clinical studies that used the QIKtest and found positive results were mostly conducted among children and teen populations across longer treatment periods. This research may indicate the QIKtest is not an appropriate measure to assess adults who have specialized training in responding to stimuli (ie, trained military personnel). This suggests the concept of attention dysfunction experienced by veterans and the best method to measure it may need to be explored further. This construct may not be related to the focus and skill in prolonged attention needed in selecting go/ no-go tasks, but rather related to a broader conceptual basis involving memory, recall, clarity of rational thought, and decision making impacted by the mTBI. For instance, a study among combat veterans with mTBI and PTSD found that performance on objective cognitive measures did not significantly correlate with their subjective reports of cognitive difficulties.57 This reflects the pattern of the present study, in which subjective reports of attention improved over time on the clinical symptom checklist filled out by participants at each session, but the objective measure did not. The mean attention dysfunction score was 6 at session 1 and 1 to 2 at session 20 (lower scores are better on a 10-point scale).

Strengths and Limitations

This study presents results stemming from the first RCT examining clinical effectiveness of ILF NFB in a VA setting for veterans with diagnoses of mTBI. The study design shows promising external validity. Veterans were able to participate in a treatment consisting of 20 sessions over a period of typically 8 to 10 weeks, entailing 2 to 3 sessions per week, with an attrition of only 18% over the course of the study. Notably, attrition rates may have been impacted by the time course of the study, which was recruiting and running participants throughout the COVID-19 pandemic (March 2020 to May 2023). No attrition was due to the intervention itself, and no adverse reactions to ILF NFB were reported during the course of the study. Other strengths of the study include the ethnically and racially diverse participants, representative of the population of veterans in Hawaii. Additionally, all ILF NFB providers underwent supervised ILF NFB training and achieved a skill reliability index score of 0.95 prior to providing ILF NFB to the intervention group.

This study was not blinded. Neither veterans nor ILF NFB providers were blinded and were therefore aware of the randomly assigned groups. Research assistants administering the periodic assessments were meant to be blinded to condition by design; however, as the study progressed, a research assistant became unintentionally aware of each study participant's condition based on required documentation in the veteran’s health records; more notes were present for those in the intervention group (20 specialist notes) than the control group (8 notes). While the presence of a control group represents a strength relative to much of the existing ILF NFB literature, the control group in this case did not account for the total time spent with the researchers. Participants in the intervention group met with researchers for 20 total sessions as opposed to 8 telephone calls. Therefore, the study design cannot fully rule out the differential impact of demand characteristics between the 2 groups, nor can it fully address or rule out the impact of differential motivation and expectations between groups. There is also evidence that technological innovation can influence the expectations of research participants, meaning that the intervention group may have been unduly influenced by the novelty of the ILF NFB technology, to which the control group did not have exposure.58

A second attention measure for this study would have been beneficial, perhaps in identifying true change in attention ability or providing more insight into finding better methods to assess attention among veterans with mTBI. ILF NFB demonstrated significant impact across multiple outcome measures of clinical relevance for veterans diagnosed with mTBI, including the primary outcome variables of headache and sleep. The strength of the improvements seen in these areas, supported by large practical effects as well as veterans’ subjective reports, indicates much promise. Follow-up studies may also focus on the potential effectiveness of ILF NFB as a treatment of the secondary concerns measured in this study, including traumatic stress-related and depressive symptoms, and may explore the added benefit, if any, of ILF NFB alongside other evidence-based treatments for traumatic stress-related and mood disorders (eg, cognitive behavioral therapy). Using functional magnetic resonance imaging before and after assessments to determine actual brain enhancement with ILF NFB for certain disorders in which a brain signature exists (ie, migraine) should be explored. Further examination of ILF NFB as an intervention for attention may also be warranted, using more effective measures of attention in the population of veterans with mTBI, given the concerns noted earlier. Future research on this topic will need to clearly define attention in relation to the veteran experience and use relevant measures.

Conclusions

This study supports ILF NFB as a safe, noninvasive, nonpharmacologic treatment that may be effective in addressing the complex clinical concerns of veterans diagnosed with mTBI, a population for whom effective treatments have been difficult to identify. This intervention can provide veterans with a desirable and effective nonpharmacologic alternative in their care.

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  41. Yang M, Morin CM, Schaefer M, Wallenstein GV. Interpreting score differences in the Insomnia Severity Index: using health-related outcomes to define the minimally important difference. Curr Med Res Opin. 2009;25:2487-2494. doi:10.1185/03007990903167415
  42. Cella D, Lai J-S, Nowinski CJ, et al. Neuro-QOL Brief measures of health-related quality of life for clinical research in neurology. Neurology. 2012;78:1860-1867. doi:10.1212/WNL.0b013e318258f744
  43. Kozlowski AJ, Cella D, Nitsch KP, Heinemann AW. Evaluating individual change with the Quality of Life in Neurological Disorders (Neuro-QoL) short forms. Arch Phys Med Rehabil. 2016;97:650-654.e8. doi:10.1016/j.apmr.2015.12.010
  44. Versace M. QIKTest Report on EEG Expert: introduction and overview. 2014. Accessed February 24, 2026. https://media.voog.com/0000/0044/8343/files/EEGexpert_manual_newreport2014_EN.pdf
  45. Truelle J-L, Koskinen S, Hawthorne G, et al. Quality of life after traumatic brain injury: the clinical use of the QOLIBRI, a novel disease-specific instrument. Brain Inj. 2010;24:1272-1291. doi:10.3109/02699052.2010.506865
  46. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  47. Kroenke K. Enhancing the clinical utility of depression screening. CMAJ. 2012;184:281-282. doi:10.1503/cmaj.112004
  48. Weathers FW, Litz BT, Keane TM, et al. PTSD checklist for DSM-5 (PCL-5). National Center for PTSD. Updated September 10, 2025. Accessed February 24, 2026. https:// www.ptsd.va.gov/professional/assessment/adult-sr/ptsd-checklist.asp
  49. Henry JD, Crawford JR. The short]form version of the Depression Anxiety Stress Scales (DASS]21): construct validity and normative data in a large non]clinical sample. Br J Clin Psychol. 2005;44:227-239. doi:10.1348/014466505X29657
  50. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. 1995;33(3):335-343. doi:10.1016/0005-7967(94)00075-u
  51. Ronk FR, Korman JR, Hooke GR, Page AC. Assessing clinical significance of treatment outcomes using the DASS-21. Psychol Assess. 2013;25:1103-1110. doi:10.1037/a0033100
  52. Carlson J. General symptom inventory. Description published online 2021.
  53. Nelson DV, Esty ML. Neurotherapy of traumatic brain injury/ posttraumatic stress symptoms in OEF/OIF veterans. J Neuropsychiatry Clin Neurosci. 2012;24:237-240. doi:10.1176/appi.neuropsych.11020041
  54. Zoefel B, Huster RJ, Herrmann CS. Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. Neuroimage. 2011;54:1427-1431. doi:10.1016/j.neuroimage.2010.08.078
  55. Othmer S, Othmer S. Toward a theory of infra-low frequency neurofeedback. In: Kirk HW, ed. Restoring the Brain: Neurofeedback as an Integrative Approach to Health. 2nd ed. Routledge; 2020.
  56. Huster RJ, Mokom ZN, Enriquez-Geppert S, Herrmann CS. Brain–computer interfaces for EEG neurofeedback: peculiarities and solutions. Int J Psychophysiol. 2014;91:36-45. doi:10.1016/j.ijpsycho.2013.08.011
  57. Ord AS, Martindale SL, Jenks ER, Rowland JA. Subjective cognitive complaints and objective cognitive functioning in combat veterans: effects of PTSD and deployment mild TBI. Appl Neuropsychol Adult. 2025;32:1400-1406. doi:10.1080/23279095.2023.2280807
  58. Lawton J, Blackburn M, Breckenridge J, Hallowell N, Farrington C, Rankin D. Ambassadors of hope, research pioneers and agents of change-individuals’ expectations and experiences of taking part in a randomised trial of an innovative health technology: longitudinal qualitative study. Trials. 2019;20:289. doi:10.1186/s13063-019-3373-9
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Judy Carlson, EdD, MSN, APRN, FNP, BCNa; Caitlin J. Tyrrell, PhDa; G. Webster Ross, MDa; Belkys Fiame, DNP, APRN, PMHNP-BC, FNP-Ca; Courtnee Nunokawa, DNP, APRN-Rx, AGPCNP-BCa,b; Kim Schaper, MAa

Author affiliations
aVeterans Affairs Pacific Islands Health Care System Honolulu, Hawaii
bNancy Atmospera-Walch School of Nursing, University of Hawaii, Honolulu

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent All procedures of this study were performed in compliance with relevant laws and institutional guidelines and was approved by the Veterans Affairs Pacific Islands Health Care System Institutional Review Board (#2019-06-JC/Promise 0003).

Funding This work was supported by Merit Review Award # NURC- 002-19S from the US Department of Veterans Affairs Clinical Science Research and Development Services. This funding source was not involved in any part of the development or execution of the study or publication thereof.

Acknowledgments The authors acknowledge the veterans who participated in the study, the US Department of Veterans Affairs Pacific Islands Health Care System Research and Development Service, especially Sedra Graves, BA, for all of her support during the 5 years of the study and Jonathon Lum, BS. A special acknowledgement to Siegfried Othmer, PhD, and the late Sue Othmer, BA, BCN, for their enormous contribution to the science and clinical development and use of infra-low frequency neurofeedback. The authors acknowledge Applied Neurophysics for their gracious offer of providing the veterans with EEG Expert Reports for the QIKtest results.

Correspondence: Judy Carlson (judy.carlson@va.gov)

Fed Pract. 2026;43(5)e0689. Published online May 28. doi:10.12788/fp.0689

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Judy Carlson, EdD, MSN, APRN, FNP, BCNa; Caitlin J. Tyrrell, PhDa; G. Webster Ross, MDa; Belkys Fiame, DNP, APRN, PMHNP-BC, FNP-Ca; Courtnee Nunokawa, DNP, APRN-Rx, AGPCNP-BCa,b; Kim Schaper, MAa

Author affiliations
aVeterans Affairs Pacific Islands Health Care System Honolulu, Hawaii
bNancy Atmospera-Walch School of Nursing, University of Hawaii, Honolulu

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent All procedures of this study were performed in compliance with relevant laws and institutional guidelines and was approved by the Veterans Affairs Pacific Islands Health Care System Institutional Review Board (#2019-06-JC/Promise 0003).

Funding This work was supported by Merit Review Award # NURC- 002-19S from the US Department of Veterans Affairs Clinical Science Research and Development Services. This funding source was not involved in any part of the development or execution of the study or publication thereof.

Acknowledgments The authors acknowledge the veterans who participated in the study, the US Department of Veterans Affairs Pacific Islands Health Care System Research and Development Service, especially Sedra Graves, BA, for all of her support during the 5 years of the study and Jonathon Lum, BS. A special acknowledgement to Siegfried Othmer, PhD, and the late Sue Othmer, BA, BCN, for their enormous contribution to the science and clinical development and use of infra-low frequency neurofeedback. The authors acknowledge Applied Neurophysics for their gracious offer of providing the veterans with EEG Expert Reports for the QIKtest results.

Correspondence: Judy Carlson (judy.carlson@va.gov)

Fed Pract. 2026;43(5)e0689. Published online May 28. doi:10.12788/fp.0689

Author and Disclosure Information

Judy Carlson, EdD, MSN, APRN, FNP, BCNa; Caitlin J. Tyrrell, PhDa; G. Webster Ross, MDa; Belkys Fiame, DNP, APRN, PMHNP-BC, FNP-Ca; Courtnee Nunokawa, DNP, APRN-Rx, AGPCNP-BCa,b; Kim Schaper, MAa

Author affiliations
aVeterans Affairs Pacific Islands Health Care System Honolulu, Hawaii
bNancy Atmospera-Walch School of Nursing, University of Hawaii, Honolulu

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent All procedures of this study were performed in compliance with relevant laws and institutional guidelines and was approved by the Veterans Affairs Pacific Islands Health Care System Institutional Review Board (#2019-06-JC/Promise 0003).

Funding This work was supported by Merit Review Award # NURC- 002-19S from the US Department of Veterans Affairs Clinical Science Research and Development Services. This funding source was not involved in any part of the development or execution of the study or publication thereof.

Acknowledgments The authors acknowledge the veterans who participated in the study, the US Department of Veterans Affairs Pacific Islands Health Care System Research and Development Service, especially Sedra Graves, BA, for all of her support during the 5 years of the study and Jonathon Lum, BS. A special acknowledgement to Siegfried Othmer, PhD, and the late Sue Othmer, BA, BCN, for their enormous contribution to the science and clinical development and use of infra-low frequency neurofeedback. The authors acknowledge Applied Neurophysics for their gracious offer of providing the veterans with EEG Expert Reports for the QIKtest results.

Correspondence: Judy Carlson (judy.carlson@va.gov)

Fed Pract. 2026;43(5)e0689. Published online May 28. doi:10.12788/fp.0689

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Traumatic brain injury (TBI) is the signature injury of post-9/11 military operations, impacting > 441,000 combat veterans from 2001 to 2021 and 87% diagnosed with mild TBI (mTBI).1,2 The most common cause of mTBI during these operations was blast exposures stemming from improvised explosive devices, rocket-propelled grenades, or land mines. mTBI was once thought to be self-limiting, lasting hours or days postinjury, but is now recognized as a complex focal and diffuse injury causing a cascade of molecular and biochemical responses with significant physiologic effects lasting for a longer duration. A significant number of combat veterans with mTBI (23%-48%) experience long-standing postconcussive symptoms (PCSs) for many years postinjury.3-5

Developing and implementing strategies to reduce persistent symptoms associated with mTBI is of critical importance. Veterans diagnosed with mTBI and experiencing PCSs present ongoing treatment challenges to the health care system due to limited or suboptimal treatment options.6,7 According to the 2021 US Department of Veterans Affairs (VA) and US Department of Defense (DoD) clinical guidelines for postacute mTBI, treatment for PCSs should be symptom focused. 8,9 For instance, veterans with migraine headaches associated with mTBIs are often treated with abortive agents (eg, triptans) and preventive medications (eg, anticonvulsants and tricyclics).10 Cognitive dysfunction and insomnia are treated with cognitive rehabilitation programs, cognitive behaviorial therapy, occupational therapy, and medications (eg, hypnotics for insomnia).11,12 The 2021 VA/DoD guidelines note that veteran and military focus groups described greater success with nonpharmacologic treatments than with pharmacologic treatments.8 The VA launched an enterprise-wide Whole Health Service program with the requirement that complementary and integrative health approaches must be available to veterans.13 As a nonpharmacologic, integrative, and noninvasive modality, neurofeedback (NFB) supports the VA Whole Health initiative and veterans’ preferences for integrative treatments.14

Neurofeedback

Rather than a symptom management approach, Defina et al described the possibilities of brain repair in TBI by treatments to enhance neuroplasticity, thereby establishing a more normalized or stable brain environment and enabling the brain to reorganize itself and function more normally.15 NFB has been shown to influence neuroplasticity,16 as evident in microstructural changes in white and gray matter17 and its ability to contribute to functional rehabilitation by restoring connectivity in specific areas of the brain that may have been impaired.18 The benefits of neuroenhancement strategies include potentially reduced pain for patients with mTBI and improved quality of life (QOL).19

NFB assists individuals by helping them become more aware of and self-regulate their physiology.20,21 Because there are several types of NFB (eg, quantitative electroencephalography, Z-scored, α-θ) that differ in terms of equipment, mechanism of action, focus, and patient and clinician procedures, it is important to note that this study used a novel technologically advanced form of NFB, referred to as infra-low frequency (ILF) NFB. It works by reflecting a person’s brain wave activity via conventional electroencephalography back to the person through the visual cortex, thus providing relevant information to which the brain responds to improve core state regulation.22

In 2006, ILF NFB developers sought to extend NFB capability into the slow cortical potential domain (< 0.1 Hz) and then gradually extended to lower frequencies on the basis of favorable clinical responses.22,23 In 2017, the technology reached an ILF capacity that appeared to be helpful for several clinical issues. These developments depended on instrumentation capable of low noise signal detection down to the lowest frequency of interest. Instrumentation was developed for the purpose (eg, Bee Medic Cygnet NFB).

Although mTBI has been a clinical focus in NFB since the 1980s, there are few published studies demonstrating the efficacy of ILF NFB relating to the PCSs of interest in this study, and 2 suggested ILF NFB positively affected change in PCS severity.24,25 Other studies found that ILF NFB decreased incidence of migraines and tension type headaches.26,27 However, the findings of these studies had limited generalizability due to methodologic limitations, such as selection bias and small sample sizes.24-27 Of importance to this article, there are also several publications on the efficacy of ILF NFB in clinical settings.28-33

This article presents the second analysis of data from veterans who completed ILF NFB intervention and control group procedures during a 5-year randomized controlled trial (RCT). The RCT included veterans who experienced an mTBI while participating in post-9/11 military operations to evaluate the impact of ILF NFB on chronic PCSs, including headache, insomnia, and attention dysfunction. Initial results of this trial demonstrated significant differences between the intervention and control groups with strong effect sizes on all outcome measures at the end of treatment.34

Methods

Participants included male and nonpregnant female veterans with a diagnosed mTBI during post-9/11 military operations; aged 18 to 65 years; reports of persistent (ie, > 3 months in duration) headaches, insomnia, and attention difficulties; and able to read and write English, comprehend what is read, and follow directions. mTBI diagnosis was verified for each veteran via the electronic health record. Patients were excluded if they had a severe TBI diagnosis or impaired decision-making capacity; were unable to comply with study visit schedule; or endorsed active suicidal intent on the Columbia-Suicide Severity Rating Scale.35

Recruitment efforts included: (1) letters sent to eligible veterans with mTBI who were identified by clinical informatics data after waiver of Health Insurance Portability and Accountability Act was obtained; veterans could contact the research team directly or the research team would call the veteran 2 weeks after the letter was sent; (2) veterans could be referred by a clinician; and (3) veterans could self-refer based on flyers and other study marketing materials.

The study was conducted from 2019 to 2024 at Spark M. Matsunaga VA Medical Center, in Honolulu, Hawaii. Four private research spaces in compliance with human research standards were used for consent, treatment, and assessment.

Consenting Procedure and Randomization

The privacy rights of potential participants were observed, and interested veterans who met the eligibility criteria underwent an informed consent procedure and were administered the Columbia-Suicide Severity Rating Scale.35 Those veterans not indicating active suicidal intent were randomized into the intervention or control group. Once randomized, the participant was enrolled and scheduled for baseline assessment.

All procedures of this study were performed in adherence with relevant laws and institutional guidelines. The study was reviewed and approved by the VA Pacific Islands Health Care System Institutional Review Board (#2019-06-JC/Promise 0003).

Outcome Measures

The outcome measures were administered at baseline, midpoint (3-7 weeks), end of treatment (6-12 weeks), and at a 2-month follow-up appointment with the research assistant or project coordinator.

The primary outcome measures include the Headache Impact Test (HIT-6), TBIQOL Headache Pain item short form, Insomnia Severity Index (ISI), Quality of Life in Neurological Disorders (Neuro-QOL) Sleep Disturbance short form, and attention measure: QIKtest Continuous Performance Test (QIKtest) (Table 1).36-44

eNeurofeedback-T1

Secondary outcome measures included QOL After Brain Injury (QOLIBRI), Neuro- QOL Satisfaction With Roles/Activities short form (Neuro-QOL Satisfaction), Neuro-QOL Ability to Participate in Roles/Activities short form (Neuro-QOL Participate), Depression Anxiety Stress Scales (DASS-21), Patient Health Questionnaire-9 (PHQ-9), Posttraumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5), and the General Symptom Inventory (eAppendix 1).39,42,45-52

eNeurofeedback-eA1
Sample

Seventy-two participants (36 in each group) were needed to have adequate statistical power for the analysis. Presuming attrition, the goal was to recruit 100 veterans. Literature on NFB studies of patients with mTBI have reported dropout rates ranging from 10% to 30%.53,54 Assuming a dropout rate of 28% and a moderate autocorrelation of 0.6 among repeated measures, this sample size ensured the detection of an average difference of at least 0.49 SDs with a power of 80% in the NFB intervention group compared with the control group using a 2-tailed significance level of 0.05.

Control Group

Following baseline assessment, control group participants received 8 phone calls (1 call/wk) from 1 of 4 clinical investigators over 8 to 10 weeks. During each 15-minute call, 1 of the following health topics was discussed: sleep hygiene, basic nutritional concepts, beverage choices, positive thinking, thought reframing, fitness, daily calming activity, and enhancement of focus strategies. A script for each topic was used to guide each call.

Intervention Group

Following baseline assessment, intervention group participants completed 20 half-hour ILF NFB sessions, typically receiving 3 sessions per week over an 8- to 10-week period. ILF NFB treatments were administered by 1 of 4 licensed health care employees who had received substantial ILF NFB training and achieved a skill reliability index score of 0.95, ensuring the skill level of the ILF NFB providers was equal. A script was used by the ILF NFB providers during the ILF NFB sessions to keep the interaction approach consistent with all participants.

All procedures were explained in advance to participants and voluntary participation affirmed. At the first session, participants filled out a clinical symptom checklist of 5 symptoms (eAppendix 1).39,42,45-49 The initial rating on the symptom checklist was reflective of their experience over the past month, while in each subsequent session, participants indicated their experience of those symptoms that day. ILF NFB providers were never privy to participants’ primary or secondary outcome measures data during the study, so these recurring clinical symptom checklist ratings, as well as other feedback provided by participants on their experience within and between sessions, were the clinical data used to make decisions about ILF NFB treatment protocol.

The Othmer Optimal Response Frequency (ORF) protocol was used for participants in this study.55 Through an iterative process, ORF protocol establishes the specific frequency point along the 0.000001 mHz to 0.1 Hz continuum, which is optimal to diminish symptoms experienced in real-time during the session (eg, tension or pain in shoulders; racing thoughts).

During each ILF NFB session, participants were seated comfortably and encouraged to look at the feedback screen. The moving images on the game screen provided almost instantaneous feedback (within 500 ms) to participants about their brain functioning, as ascertained by electrodes placed on the scalp as dictated by study protocol.56 A standardized protocol for site placement was used beginning with T3-T4, followed by the weekly addition of a site as tolerated in the following sequence: T4-P4, FP2-T4, and FP1-T4. More information about the ILF NFB procedures are outlined in the report of the pilot study and RCT initial results.22,34

Statistical Analysis

Eighty-seven participants were randomized, with 43 assigned to the intervention group and 44 to the control group to achieve the enrollment goal of ≥ 36 participants in each group. This report is the second analysis of data from this RCT that employed a per-protocol approach, analyzing a subset of participants who fully adhered to the study protocol and completed all study procedures. Outcome scores at baseline, midpoint, end of treatment, and 2-month follow-up were summarized as means with corresponding 95% CIs. Group comparisons at the end of treatment and 2-month follow-up time points were conducted using 2-sample t tests. All statistical tests were 2-sided with a significance level of .05 (Type I error rate). SAS software version 9.4 Maintenance 8 was used for statistical analysis. Cohen d analyses were used for effect sizes.

Results

Seventy-four participants fully adhered to the study protocol and were included in the present analyses, with 38 in the control group and 36 in the intervention group. eAppendix 2 depicts the flow of participants through this study. There were no adverse events related to treatment, and the 13 participants who withdrew typically reported difficulty with scheduling or transportation as the primary reason. This study also took place during the COVID-19 pandemic, which likely had some impact on enrollment; participants were differentially impacted by changes in employment and moves to the continental United States.

eNeurofeedback-eA2

Participants were aged 30 to 60 years (mean [SD], 45.4 [8.0]). Most participants (90.5%) were male, and multiracial and White were the most common racial identities (Table 2). Participant characteristics were largely balanced across randomized groups. Similarly, test scores on the primary variables of interest in this study and secondary clinical variables assessed were comparable across participants (Table 3).

eNeurofeedback-T2eNeurofeedback-T3
Primary Variables of Interest Analyses

This study’s hypothesis was that those who completed ILF NFB treatment per protocol would demonstrate statistically significant improvement in symptoms related to headaches, sleep disturbance, and difficulty with attention when compared with veterans in the control group. This hypothesis was partially supported. A 2-sample t test showed that veterans in the intervention group demonstrated significant improvement in headache symptoms compared with veterans in the control group on the HIT-6 at the end-of-treatment (P < .001, d = 1.53) and 2-month follow-up assessment (P < .001, d = 1.14). This pattern also was consistent with the TBI-QOL Headache Pain item short form, with veterans in the intervention group showing improvement beyond those in the control group at the end-of-treatment (P < .001, d = 0.89) and 2-month follow-up assessment (P < .001, d = 0.83). Two-sample t tests also demonstrated significant improvement in subjective reports of sleep; those in the intervention group had significantly lower scores on the ISI at the end-of-study (P < .001, d = 1.53) and 2-month follow-up assessment (P < .001, d = 0.97). This pattern also held true for the Neuro-QOL Sleep Disturbance short form subtest, which demonstrated significantly more improvement in the intervention group compared with the control group at the end-of-study (P < .001, d = 0.97) and 2-month follow- up assessment (P < .001, d = 0.92). improvement in attention was not supported by the present results. A 2-sample t test found no significant difference between performance on the QIKtest for veterans in the intervention group vs the control group at the end-of-study (P = .40, d = 0.19) or the 2-month follow-up (P = .43, d = 0.20) (eAppendix 3).

eNeurofeedback-eA3
Secondary Variables of Interest Analysis

Secondary variables examined differences in QOL, PTSD, depressive symptoms, and general symptoms reported between veterans in the intervention and control groups. Results demonstrated that veterans in the intervention group showed improvement above and beyond those in the control group on all measures. In regard to QOL, veterans in the intervention group had significantly higher scores on the Neuro-QOL Participate subtest than those in the control group at the end-of-study (P = .01, d = 0.89) and 2-month follow-up assessment (P < .001, d = 0.62). A similar pattern was found for the Neuro-QOL Satisfaction subtest, with veterans in the intervention group showing significantly higher scores than those in the control group at the end-of-study (P = .001, d = 0.95) and 2-month follow-up assessment (P < .001, d = 0.62). This also held true on the QOLIBRI, with veterans in the intervention group demonstrating significantly higher scores than those in the control group at the end-of-study (P = .001, d = 0.92) and 2-month follow-up assessment (P < .001, d = 0.66).

Veterans in the intervention group had significantly lower scores on the PCL-5 than those in the control group at the end-of- study (P = .003, d = 0.78) and 2-month follow-up assessment (P = .001, d = 0.72). Veterans in the intervention group also had significantly lower scores on the PHQ-9 than those in the control group at the end-of-study (P < .001, d = 0.98) and 2-month follow-up assessment (P < .001, d = 0.83). Veterans in the intervention group had significantly lower scores on the DASS- 21 than those in the control group at the end-of-study (P = .002, d = 0.80) and 2-month follow-up assessment (P = .001, d = 0.77). They also had significantly lower scores on the General Symptom Inventory than those in the control group at the end-of-study (P = .02, d = 0.75) and 2-month follow-up assessment (P = .002, d = 0.57). A clinically significant shift of score occurred for each of the measures except DASS-21 (eAppendix 3). eAppendix 4 depicts the change in scores for the intervention group at the end of treatment and the clinically significant shift score of each measure.

eNeurofeedback-eA4

Discussion

The results of this RCT revealed a promising impact of ILF NFB on the commonly experienced persistent PCSs of headaches and disrupted sleep. Veterans in the intervention group demonstrated statistically significant improvement in headache symptoms compared with veterans in the control group when assessed at the end of treatment and during a 2-month follow-up. The statistical significance of these improvements was also supported by large or very large effect sizes. In addition to these primary variables of interest, veterans in the intervention group notably demonstrated significant improvement compared with those in the control group in a number of secondary clinical measures, including QOL, traumatic stress-related symptoms, depressive symptoms, and general symptom report. The clinical impact was further supported by the clinically relevant shift in scores in the intervention group.

The data did not support the hypothesis that attention concerns would show significant improvement following ILF NFB. Performance on an attention measure did not differ significantly between groups at either the end-of-treatment or 2-month follow up assessment. The QIKtest, a continuous performance test used to measure attention, was a go/no-go task and calculated based on a combination of various types of errors and outlier responses. The stimulus for this task is a series of computerized, blinking lights, for which participants are tasked with discriminating targets and nontargets under time pressure. However, the order of the stimuli are consistent across administrations, rather than being randomized, introducing a potential confound of practice effects on this task since patients were administered the QIKtest 3 times in a 2-month period and again 2 months later. Veterans in the control group notably improved in their average performance of this task from baseline to the endpoint of their treatment participation and demonstrated further improvement at the 2-month follow-up assessment; this pattern would be consistent with potential practice effects and warrants caution in its interpretation for both groups.

Previously published ILF NFB clinical studies that used the QIKtest and found positive results were mostly conducted among children and teen populations across longer treatment periods. This research may indicate the QIKtest is not an appropriate measure to assess adults who have specialized training in responding to stimuli (ie, trained military personnel). This suggests the concept of attention dysfunction experienced by veterans and the best method to measure it may need to be explored further. This construct may not be related to the focus and skill in prolonged attention needed in selecting go/ no-go tasks, but rather related to a broader conceptual basis involving memory, recall, clarity of rational thought, and decision making impacted by the mTBI. For instance, a study among combat veterans with mTBI and PTSD found that performance on objective cognitive measures did not significantly correlate with their subjective reports of cognitive difficulties.57 This reflects the pattern of the present study, in which subjective reports of attention improved over time on the clinical symptom checklist filled out by participants at each session, but the objective measure did not. The mean attention dysfunction score was 6 at session 1 and 1 to 2 at session 20 (lower scores are better on a 10-point scale).

Strengths and Limitations

This study presents results stemming from the first RCT examining clinical effectiveness of ILF NFB in a VA setting for veterans with diagnoses of mTBI. The study design shows promising external validity. Veterans were able to participate in a treatment consisting of 20 sessions over a period of typically 8 to 10 weeks, entailing 2 to 3 sessions per week, with an attrition of only 18% over the course of the study. Notably, attrition rates may have been impacted by the time course of the study, which was recruiting and running participants throughout the COVID-19 pandemic (March 2020 to May 2023). No attrition was due to the intervention itself, and no adverse reactions to ILF NFB were reported during the course of the study. Other strengths of the study include the ethnically and racially diverse participants, representative of the population of veterans in Hawaii. Additionally, all ILF NFB providers underwent supervised ILF NFB training and achieved a skill reliability index score of 0.95 prior to providing ILF NFB to the intervention group.

This study was not blinded. Neither veterans nor ILF NFB providers were blinded and were therefore aware of the randomly assigned groups. Research assistants administering the periodic assessments were meant to be blinded to condition by design; however, as the study progressed, a research assistant became unintentionally aware of each study participant's condition based on required documentation in the veteran’s health records; more notes were present for those in the intervention group (20 specialist notes) than the control group (8 notes). While the presence of a control group represents a strength relative to much of the existing ILF NFB literature, the control group in this case did not account for the total time spent with the researchers. Participants in the intervention group met with researchers for 20 total sessions as opposed to 8 telephone calls. Therefore, the study design cannot fully rule out the differential impact of demand characteristics between the 2 groups, nor can it fully address or rule out the impact of differential motivation and expectations between groups. There is also evidence that technological innovation can influence the expectations of research participants, meaning that the intervention group may have been unduly influenced by the novelty of the ILF NFB technology, to which the control group did not have exposure.58

A second attention measure for this study would have been beneficial, perhaps in identifying true change in attention ability or providing more insight into finding better methods to assess attention among veterans with mTBI. ILF NFB demonstrated significant impact across multiple outcome measures of clinical relevance for veterans diagnosed with mTBI, including the primary outcome variables of headache and sleep. The strength of the improvements seen in these areas, supported by large practical effects as well as veterans’ subjective reports, indicates much promise. Follow-up studies may also focus on the potential effectiveness of ILF NFB as a treatment of the secondary concerns measured in this study, including traumatic stress-related and depressive symptoms, and may explore the added benefit, if any, of ILF NFB alongside other evidence-based treatments for traumatic stress-related and mood disorders (eg, cognitive behavioral therapy). Using functional magnetic resonance imaging before and after assessments to determine actual brain enhancement with ILF NFB for certain disorders in which a brain signature exists (ie, migraine) should be explored. Further examination of ILF NFB as an intervention for attention may also be warranted, using more effective measures of attention in the population of veterans with mTBI, given the concerns noted earlier. Future research on this topic will need to clearly define attention in relation to the veteran experience and use relevant measures.

Conclusions

This study supports ILF NFB as a safe, noninvasive, nonpharmacologic treatment that may be effective in addressing the complex clinical concerns of veterans diagnosed with mTBI, a population for whom effective treatments have been difficult to identify. This intervention can provide veterans with a desirable and effective nonpharmacologic alternative in their care.

Traumatic brain injury (TBI) is the signature injury of post-9/11 military operations, impacting > 441,000 combat veterans from 2001 to 2021 and 87% diagnosed with mild TBI (mTBI).1,2 The most common cause of mTBI during these operations was blast exposures stemming from improvised explosive devices, rocket-propelled grenades, or land mines. mTBI was once thought to be self-limiting, lasting hours or days postinjury, but is now recognized as a complex focal and diffuse injury causing a cascade of molecular and biochemical responses with significant physiologic effects lasting for a longer duration. A significant number of combat veterans with mTBI (23%-48%) experience long-standing postconcussive symptoms (PCSs) for many years postinjury.3-5

Developing and implementing strategies to reduce persistent symptoms associated with mTBI is of critical importance. Veterans diagnosed with mTBI and experiencing PCSs present ongoing treatment challenges to the health care system due to limited or suboptimal treatment options.6,7 According to the 2021 US Department of Veterans Affairs (VA) and US Department of Defense (DoD) clinical guidelines for postacute mTBI, treatment for PCSs should be symptom focused. 8,9 For instance, veterans with migraine headaches associated with mTBIs are often treated with abortive agents (eg, triptans) and preventive medications (eg, anticonvulsants and tricyclics).10 Cognitive dysfunction and insomnia are treated with cognitive rehabilitation programs, cognitive behaviorial therapy, occupational therapy, and medications (eg, hypnotics for insomnia).11,12 The 2021 VA/DoD guidelines note that veteran and military focus groups described greater success with nonpharmacologic treatments than with pharmacologic treatments.8 The VA launched an enterprise-wide Whole Health Service program with the requirement that complementary and integrative health approaches must be available to veterans.13 As a nonpharmacologic, integrative, and noninvasive modality, neurofeedback (NFB) supports the VA Whole Health initiative and veterans’ preferences for integrative treatments.14

Neurofeedback

Rather than a symptom management approach, Defina et al described the possibilities of brain repair in TBI by treatments to enhance neuroplasticity, thereby establishing a more normalized or stable brain environment and enabling the brain to reorganize itself and function more normally.15 NFB has been shown to influence neuroplasticity,16 as evident in microstructural changes in white and gray matter17 and its ability to contribute to functional rehabilitation by restoring connectivity in specific areas of the brain that may have been impaired.18 The benefits of neuroenhancement strategies include potentially reduced pain for patients with mTBI and improved quality of life (QOL).19

NFB assists individuals by helping them become more aware of and self-regulate their physiology.20,21 Because there are several types of NFB (eg, quantitative electroencephalography, Z-scored, α-θ) that differ in terms of equipment, mechanism of action, focus, and patient and clinician procedures, it is important to note that this study used a novel technologically advanced form of NFB, referred to as infra-low frequency (ILF) NFB. It works by reflecting a person’s brain wave activity via conventional electroencephalography back to the person through the visual cortex, thus providing relevant information to which the brain responds to improve core state regulation.22

In 2006, ILF NFB developers sought to extend NFB capability into the slow cortical potential domain (< 0.1 Hz) and then gradually extended to lower frequencies on the basis of favorable clinical responses.22,23 In 2017, the technology reached an ILF capacity that appeared to be helpful for several clinical issues. These developments depended on instrumentation capable of low noise signal detection down to the lowest frequency of interest. Instrumentation was developed for the purpose (eg, Bee Medic Cygnet NFB).

Although mTBI has been a clinical focus in NFB since the 1980s, there are few published studies demonstrating the efficacy of ILF NFB relating to the PCSs of interest in this study, and 2 suggested ILF NFB positively affected change in PCS severity.24,25 Other studies found that ILF NFB decreased incidence of migraines and tension type headaches.26,27 However, the findings of these studies had limited generalizability due to methodologic limitations, such as selection bias and small sample sizes.24-27 Of importance to this article, there are also several publications on the efficacy of ILF NFB in clinical settings.28-33

This article presents the second analysis of data from veterans who completed ILF NFB intervention and control group procedures during a 5-year randomized controlled trial (RCT). The RCT included veterans who experienced an mTBI while participating in post-9/11 military operations to evaluate the impact of ILF NFB on chronic PCSs, including headache, insomnia, and attention dysfunction. Initial results of this trial demonstrated significant differences between the intervention and control groups with strong effect sizes on all outcome measures at the end of treatment.34

Methods

Participants included male and nonpregnant female veterans with a diagnosed mTBI during post-9/11 military operations; aged 18 to 65 years; reports of persistent (ie, > 3 months in duration) headaches, insomnia, and attention difficulties; and able to read and write English, comprehend what is read, and follow directions. mTBI diagnosis was verified for each veteran via the electronic health record. Patients were excluded if they had a severe TBI diagnosis or impaired decision-making capacity; were unable to comply with study visit schedule; or endorsed active suicidal intent on the Columbia-Suicide Severity Rating Scale.35

Recruitment efforts included: (1) letters sent to eligible veterans with mTBI who were identified by clinical informatics data after waiver of Health Insurance Portability and Accountability Act was obtained; veterans could contact the research team directly or the research team would call the veteran 2 weeks after the letter was sent; (2) veterans could be referred by a clinician; and (3) veterans could self-refer based on flyers and other study marketing materials.

The study was conducted from 2019 to 2024 at Spark M. Matsunaga VA Medical Center, in Honolulu, Hawaii. Four private research spaces in compliance with human research standards were used for consent, treatment, and assessment.

Consenting Procedure and Randomization

The privacy rights of potential participants were observed, and interested veterans who met the eligibility criteria underwent an informed consent procedure and were administered the Columbia-Suicide Severity Rating Scale.35 Those veterans not indicating active suicidal intent were randomized into the intervention or control group. Once randomized, the participant was enrolled and scheduled for baseline assessment.

All procedures of this study were performed in adherence with relevant laws and institutional guidelines. The study was reviewed and approved by the VA Pacific Islands Health Care System Institutional Review Board (#2019-06-JC/Promise 0003).

Outcome Measures

The outcome measures were administered at baseline, midpoint (3-7 weeks), end of treatment (6-12 weeks), and at a 2-month follow-up appointment with the research assistant or project coordinator.

The primary outcome measures include the Headache Impact Test (HIT-6), TBIQOL Headache Pain item short form, Insomnia Severity Index (ISI), Quality of Life in Neurological Disorders (Neuro-QOL) Sleep Disturbance short form, and attention measure: QIKtest Continuous Performance Test (QIKtest) (Table 1).36-44

eNeurofeedback-T1

Secondary outcome measures included QOL After Brain Injury (QOLIBRI), Neuro- QOL Satisfaction With Roles/Activities short form (Neuro-QOL Satisfaction), Neuro-QOL Ability to Participate in Roles/Activities short form (Neuro-QOL Participate), Depression Anxiety Stress Scales (DASS-21), Patient Health Questionnaire-9 (PHQ-9), Posttraumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5), and the General Symptom Inventory (eAppendix 1).39,42,45-52

eNeurofeedback-eA1
Sample

Seventy-two participants (36 in each group) were needed to have adequate statistical power for the analysis. Presuming attrition, the goal was to recruit 100 veterans. Literature on NFB studies of patients with mTBI have reported dropout rates ranging from 10% to 30%.53,54 Assuming a dropout rate of 28% and a moderate autocorrelation of 0.6 among repeated measures, this sample size ensured the detection of an average difference of at least 0.49 SDs with a power of 80% in the NFB intervention group compared with the control group using a 2-tailed significance level of 0.05.

Control Group

Following baseline assessment, control group participants received 8 phone calls (1 call/wk) from 1 of 4 clinical investigators over 8 to 10 weeks. During each 15-minute call, 1 of the following health topics was discussed: sleep hygiene, basic nutritional concepts, beverage choices, positive thinking, thought reframing, fitness, daily calming activity, and enhancement of focus strategies. A script for each topic was used to guide each call.

Intervention Group

Following baseline assessment, intervention group participants completed 20 half-hour ILF NFB sessions, typically receiving 3 sessions per week over an 8- to 10-week period. ILF NFB treatments were administered by 1 of 4 licensed health care employees who had received substantial ILF NFB training and achieved a skill reliability index score of 0.95, ensuring the skill level of the ILF NFB providers was equal. A script was used by the ILF NFB providers during the ILF NFB sessions to keep the interaction approach consistent with all participants.

All procedures were explained in advance to participants and voluntary participation affirmed. At the first session, participants filled out a clinical symptom checklist of 5 symptoms (eAppendix 1).39,42,45-49 The initial rating on the symptom checklist was reflective of their experience over the past month, while in each subsequent session, participants indicated their experience of those symptoms that day. ILF NFB providers were never privy to participants’ primary or secondary outcome measures data during the study, so these recurring clinical symptom checklist ratings, as well as other feedback provided by participants on their experience within and between sessions, were the clinical data used to make decisions about ILF NFB treatment protocol.

The Othmer Optimal Response Frequency (ORF) protocol was used for participants in this study.55 Through an iterative process, ORF protocol establishes the specific frequency point along the 0.000001 mHz to 0.1 Hz continuum, which is optimal to diminish symptoms experienced in real-time during the session (eg, tension or pain in shoulders; racing thoughts).

During each ILF NFB session, participants were seated comfortably and encouraged to look at the feedback screen. The moving images on the game screen provided almost instantaneous feedback (within 500 ms) to participants about their brain functioning, as ascertained by electrodes placed on the scalp as dictated by study protocol.56 A standardized protocol for site placement was used beginning with T3-T4, followed by the weekly addition of a site as tolerated in the following sequence: T4-P4, FP2-T4, and FP1-T4. More information about the ILF NFB procedures are outlined in the report of the pilot study and RCT initial results.22,34

Statistical Analysis

Eighty-seven participants were randomized, with 43 assigned to the intervention group and 44 to the control group to achieve the enrollment goal of ≥ 36 participants in each group. This report is the second analysis of data from this RCT that employed a per-protocol approach, analyzing a subset of participants who fully adhered to the study protocol and completed all study procedures. Outcome scores at baseline, midpoint, end of treatment, and 2-month follow-up were summarized as means with corresponding 95% CIs. Group comparisons at the end of treatment and 2-month follow-up time points were conducted using 2-sample t tests. All statistical tests were 2-sided with a significance level of .05 (Type I error rate). SAS software version 9.4 Maintenance 8 was used for statistical analysis. Cohen d analyses were used for effect sizes.

Results

Seventy-four participants fully adhered to the study protocol and were included in the present analyses, with 38 in the control group and 36 in the intervention group. eAppendix 2 depicts the flow of participants through this study. There were no adverse events related to treatment, and the 13 participants who withdrew typically reported difficulty with scheduling or transportation as the primary reason. This study also took place during the COVID-19 pandemic, which likely had some impact on enrollment; participants were differentially impacted by changes in employment and moves to the continental United States.

eNeurofeedback-eA2

Participants were aged 30 to 60 years (mean [SD], 45.4 [8.0]). Most participants (90.5%) were male, and multiracial and White were the most common racial identities (Table 2). Participant characteristics were largely balanced across randomized groups. Similarly, test scores on the primary variables of interest in this study and secondary clinical variables assessed were comparable across participants (Table 3).

eNeurofeedback-T2eNeurofeedback-T3
Primary Variables of Interest Analyses

This study’s hypothesis was that those who completed ILF NFB treatment per protocol would demonstrate statistically significant improvement in symptoms related to headaches, sleep disturbance, and difficulty with attention when compared with veterans in the control group. This hypothesis was partially supported. A 2-sample t test showed that veterans in the intervention group demonstrated significant improvement in headache symptoms compared with veterans in the control group on the HIT-6 at the end-of-treatment (P < .001, d = 1.53) and 2-month follow-up assessment (P < .001, d = 1.14). This pattern also was consistent with the TBI-QOL Headache Pain item short form, with veterans in the intervention group showing improvement beyond those in the control group at the end-of-treatment (P < .001, d = 0.89) and 2-month follow-up assessment (P < .001, d = 0.83). Two-sample t tests also demonstrated significant improvement in subjective reports of sleep; those in the intervention group had significantly lower scores on the ISI at the end-of-study (P < .001, d = 1.53) and 2-month follow-up assessment (P < .001, d = 0.97). This pattern also held true for the Neuro-QOL Sleep Disturbance short form subtest, which demonstrated significantly more improvement in the intervention group compared with the control group at the end-of-study (P < .001, d = 0.97) and 2-month follow- up assessment (P < .001, d = 0.92). improvement in attention was not supported by the present results. A 2-sample t test found no significant difference between performance on the QIKtest for veterans in the intervention group vs the control group at the end-of-study (P = .40, d = 0.19) or the 2-month follow-up (P = .43, d = 0.20) (eAppendix 3).

eNeurofeedback-eA3
Secondary Variables of Interest Analysis

Secondary variables examined differences in QOL, PTSD, depressive symptoms, and general symptoms reported between veterans in the intervention and control groups. Results demonstrated that veterans in the intervention group showed improvement above and beyond those in the control group on all measures. In regard to QOL, veterans in the intervention group had significantly higher scores on the Neuro-QOL Participate subtest than those in the control group at the end-of-study (P = .01, d = 0.89) and 2-month follow-up assessment (P < .001, d = 0.62). A similar pattern was found for the Neuro-QOL Satisfaction subtest, with veterans in the intervention group showing significantly higher scores than those in the control group at the end-of-study (P = .001, d = 0.95) and 2-month follow-up assessment (P < .001, d = 0.62). This also held true on the QOLIBRI, with veterans in the intervention group demonstrating significantly higher scores than those in the control group at the end-of-study (P = .001, d = 0.92) and 2-month follow-up assessment (P < .001, d = 0.66).

Veterans in the intervention group had significantly lower scores on the PCL-5 than those in the control group at the end-of- study (P = .003, d = 0.78) and 2-month follow-up assessment (P = .001, d = 0.72). Veterans in the intervention group also had significantly lower scores on the PHQ-9 than those in the control group at the end-of-study (P < .001, d = 0.98) and 2-month follow-up assessment (P < .001, d = 0.83). Veterans in the intervention group had significantly lower scores on the DASS- 21 than those in the control group at the end-of-study (P = .002, d = 0.80) and 2-month follow-up assessment (P = .001, d = 0.77). They also had significantly lower scores on the General Symptom Inventory than those in the control group at the end-of-study (P = .02, d = 0.75) and 2-month follow-up assessment (P = .002, d = 0.57). A clinically significant shift of score occurred for each of the measures except DASS-21 (eAppendix 3). eAppendix 4 depicts the change in scores for the intervention group at the end of treatment and the clinically significant shift score of each measure.

eNeurofeedback-eA4

Discussion

The results of this RCT revealed a promising impact of ILF NFB on the commonly experienced persistent PCSs of headaches and disrupted sleep. Veterans in the intervention group demonstrated statistically significant improvement in headache symptoms compared with veterans in the control group when assessed at the end of treatment and during a 2-month follow-up. The statistical significance of these improvements was also supported by large or very large effect sizes. In addition to these primary variables of interest, veterans in the intervention group notably demonstrated significant improvement compared with those in the control group in a number of secondary clinical measures, including QOL, traumatic stress-related symptoms, depressive symptoms, and general symptom report. The clinical impact was further supported by the clinically relevant shift in scores in the intervention group.

The data did not support the hypothesis that attention concerns would show significant improvement following ILF NFB. Performance on an attention measure did not differ significantly between groups at either the end-of-treatment or 2-month follow up assessment. The QIKtest, a continuous performance test used to measure attention, was a go/no-go task and calculated based on a combination of various types of errors and outlier responses. The stimulus for this task is a series of computerized, blinking lights, for which participants are tasked with discriminating targets and nontargets under time pressure. However, the order of the stimuli are consistent across administrations, rather than being randomized, introducing a potential confound of practice effects on this task since patients were administered the QIKtest 3 times in a 2-month period and again 2 months later. Veterans in the control group notably improved in their average performance of this task from baseline to the endpoint of their treatment participation and demonstrated further improvement at the 2-month follow-up assessment; this pattern would be consistent with potential practice effects and warrants caution in its interpretation for both groups.

Previously published ILF NFB clinical studies that used the QIKtest and found positive results were mostly conducted among children and teen populations across longer treatment periods. This research may indicate the QIKtest is not an appropriate measure to assess adults who have specialized training in responding to stimuli (ie, trained military personnel). This suggests the concept of attention dysfunction experienced by veterans and the best method to measure it may need to be explored further. This construct may not be related to the focus and skill in prolonged attention needed in selecting go/ no-go tasks, but rather related to a broader conceptual basis involving memory, recall, clarity of rational thought, and decision making impacted by the mTBI. For instance, a study among combat veterans with mTBI and PTSD found that performance on objective cognitive measures did not significantly correlate with their subjective reports of cognitive difficulties.57 This reflects the pattern of the present study, in which subjective reports of attention improved over time on the clinical symptom checklist filled out by participants at each session, but the objective measure did not. The mean attention dysfunction score was 6 at session 1 and 1 to 2 at session 20 (lower scores are better on a 10-point scale).

Strengths and Limitations

This study presents results stemming from the first RCT examining clinical effectiveness of ILF NFB in a VA setting for veterans with diagnoses of mTBI. The study design shows promising external validity. Veterans were able to participate in a treatment consisting of 20 sessions over a period of typically 8 to 10 weeks, entailing 2 to 3 sessions per week, with an attrition of only 18% over the course of the study. Notably, attrition rates may have been impacted by the time course of the study, which was recruiting and running participants throughout the COVID-19 pandemic (March 2020 to May 2023). No attrition was due to the intervention itself, and no adverse reactions to ILF NFB were reported during the course of the study. Other strengths of the study include the ethnically and racially diverse participants, representative of the population of veterans in Hawaii. Additionally, all ILF NFB providers underwent supervised ILF NFB training and achieved a skill reliability index score of 0.95 prior to providing ILF NFB to the intervention group.

This study was not blinded. Neither veterans nor ILF NFB providers were blinded and were therefore aware of the randomly assigned groups. Research assistants administering the periodic assessments were meant to be blinded to condition by design; however, as the study progressed, a research assistant became unintentionally aware of each study participant's condition based on required documentation in the veteran’s health records; more notes were present for those in the intervention group (20 specialist notes) than the control group (8 notes). While the presence of a control group represents a strength relative to much of the existing ILF NFB literature, the control group in this case did not account for the total time spent with the researchers. Participants in the intervention group met with researchers for 20 total sessions as opposed to 8 telephone calls. Therefore, the study design cannot fully rule out the differential impact of demand characteristics between the 2 groups, nor can it fully address or rule out the impact of differential motivation and expectations between groups. There is also evidence that technological innovation can influence the expectations of research participants, meaning that the intervention group may have been unduly influenced by the novelty of the ILF NFB technology, to which the control group did not have exposure.58

A second attention measure for this study would have been beneficial, perhaps in identifying true change in attention ability or providing more insight into finding better methods to assess attention among veterans with mTBI. ILF NFB demonstrated significant impact across multiple outcome measures of clinical relevance for veterans diagnosed with mTBI, including the primary outcome variables of headache and sleep. The strength of the improvements seen in these areas, supported by large practical effects as well as veterans’ subjective reports, indicates much promise. Follow-up studies may also focus on the potential effectiveness of ILF NFB as a treatment of the secondary concerns measured in this study, including traumatic stress-related and depressive symptoms, and may explore the added benefit, if any, of ILF NFB alongside other evidence-based treatments for traumatic stress-related and mood disorders (eg, cognitive behavioral therapy). Using functional magnetic resonance imaging before and after assessments to determine actual brain enhancement with ILF NFB for certain disorders in which a brain signature exists (ie, migraine) should be explored. Further examination of ILF NFB as an intervention for attention may also be warranted, using more effective measures of attention in the population of veterans with mTBI, given the concerns noted earlier. Future research on this topic will need to clearly define attention in relation to the veteran experience and use relevant measures.

Conclusions

This study supports ILF NFB as a safe, noninvasive, nonpharmacologic treatment that may be effective in addressing the complex clinical concerns of veterans diagnosed with mTBI, a population for whom effective treatments have been difficult to identify. This intervention can provide veterans with a desirable and effective nonpharmacologic alternative in their care.

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  41. Yang M, Morin CM, Schaefer M, Wallenstein GV. Interpreting score differences in the Insomnia Severity Index: using health-related outcomes to define the minimally important difference. Curr Med Res Opin. 2009;25:2487-2494. doi:10.1185/03007990903167415
  42. Cella D, Lai J-S, Nowinski CJ, et al. Neuro-QOL Brief measures of health-related quality of life for clinical research in neurology. Neurology. 2012;78:1860-1867. doi:10.1212/WNL.0b013e318258f744
  43. Kozlowski AJ, Cella D, Nitsch KP, Heinemann AW. Evaluating individual change with the Quality of Life in Neurological Disorders (Neuro-QoL) short forms. Arch Phys Med Rehabil. 2016;97:650-654.e8. doi:10.1016/j.apmr.2015.12.010
  44. Versace M. QIKTest Report on EEG Expert: introduction and overview. 2014. Accessed February 24, 2026. https://media.voog.com/0000/0044/8343/files/EEGexpert_manual_newreport2014_EN.pdf
  45. Truelle J-L, Koskinen S, Hawthorne G, et al. Quality of life after traumatic brain injury: the clinical use of the QOLIBRI, a novel disease-specific instrument. Brain Inj. 2010;24:1272-1291. doi:10.3109/02699052.2010.506865
  46. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  47. Kroenke K. Enhancing the clinical utility of depression screening. CMAJ. 2012;184:281-282. doi:10.1503/cmaj.112004
  48. Weathers FW, Litz BT, Keane TM, et al. PTSD checklist for DSM-5 (PCL-5). National Center for PTSD. Updated September 10, 2025. Accessed February 24, 2026. https:// www.ptsd.va.gov/professional/assessment/adult-sr/ptsd-checklist.asp
  49. Henry JD, Crawford JR. The short]form version of the Depression Anxiety Stress Scales (DASS]21): construct validity and normative data in a large non]clinical sample. Br J Clin Psychol. 2005;44:227-239. doi:10.1348/014466505X29657
  50. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. 1995;33(3):335-343. doi:10.1016/0005-7967(94)00075-u
  51. Ronk FR, Korman JR, Hooke GR, Page AC. Assessing clinical significance of treatment outcomes using the DASS-21. Psychol Assess. 2013;25:1103-1110. doi:10.1037/a0033100
  52. Carlson J. General symptom inventory. Description published online 2021.
  53. Nelson DV, Esty ML. Neurotherapy of traumatic brain injury/ posttraumatic stress symptoms in OEF/OIF veterans. J Neuropsychiatry Clin Neurosci. 2012;24:237-240. doi:10.1176/appi.neuropsych.11020041
  54. Zoefel B, Huster RJ, Herrmann CS. Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. Neuroimage. 2011;54:1427-1431. doi:10.1016/j.neuroimage.2010.08.078
  55. Othmer S, Othmer S. Toward a theory of infra-low frequency neurofeedback. In: Kirk HW, ed. Restoring the Brain: Neurofeedback as an Integrative Approach to Health. 2nd ed. Routledge; 2020.
  56. Huster RJ, Mokom ZN, Enriquez-Geppert S, Herrmann CS. Brain–computer interfaces for EEG neurofeedback: peculiarities and solutions. Int J Psychophysiol. 2014;91:36-45. doi:10.1016/j.ijpsycho.2013.08.011
  57. Ord AS, Martindale SL, Jenks ER, Rowland JA. Subjective cognitive complaints and objective cognitive functioning in combat veterans: effects of PTSD and deployment mild TBI. Appl Neuropsychol Adult. 2025;32:1400-1406. doi:10.1080/23279095.2023.2280807
  58. Lawton J, Blackburn M, Breckenridge J, Hallowell N, Farrington C, Rankin D. Ambassadors of hope, research pioneers and agents of change-individuals’ expectations and experiences of taking part in a randomised trial of an innovative health technology: longitudinal qualitative study. Trials. 2019;20:289. doi:10.1186/s13063-019-3373-9
References
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  2. Whiteneck G, Williams W, Almeida E, et al. Two decades of Department of Veterans Affairs traumatic brain injury care and benefits for veterans of post-9/11 conflicts. J Head Trauma Rehabil. 2024;39:E462-E469. doi:10.1097/HTR.0000000000000952
  3. Chapman JC, Diaz-Arrastia R. Military traumatic brain injury: a review. Alzheimers Dement. 2014;10(3 suppl):S97- S104. doi:10.1016/j.jalz.2014.04.012
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  9. Department of Veterans Affairs (VA) and Department of Defense (DoD). VA/DoD Clinical Practice Guideline for the management and Rehabilitation of Post-Acute Mild Traumatic Brain Injury, 2021, Version 3:1-128. https://www.healthquality.va.gov/HEALTHQUALITY/guidelines/Rehab/mtbi/index.asp
  10. Patil VK, St Andre JR, Crisan E, et al. Prevalence and treatment of headaches in veterans with mild traumatic brain injury. Headache. 2011;51:1112-1121. doi:10.1111/j.1526-4610.2011.01946.x
  11. Ayalon L, Borodkin K, Dishon L, Kanety H, Dagan Y. Circadian rhythm sleep disorders following mild traumatic brain injury. Neurology. 2007;68:1136-1140. doi:10.1212/01.wnl.0000258672.52836.30
  12. Bogdanova Y, Verfaellie M. Cognitive sequelae of blast-induced traumatic brain injury: recovery and rehabilitation, Neuropsychology Review. 2012;22:4-20. doi:10.1007/s11065-012-9192-3
  13. US Department of Veteran Affairs. VHA Directive 1137.December 13, 2022. https://www.va.gov/VHApublications/ViewPublication.asp?pub_ID=10072
  14. Taylor SL, Hoggatt KJ, Kligler B. Complementary and integrated health approaches: what do veterans use and want. J Gen Intern Med. 2019;34:1192-1199. doi:10.1007/s11606-019-04862-6
  15. DeFlna P, Fellus J, Polito MZ, et al. The new neuroscience frontier: promoting neuroplasticity and brain repair in traumatic brain injury. Clin Neuropsychol. 2009;23:1391-1399. doi:10.1080/13854040903058978
  16. Enriquez-Geppert S, Huster RJ, Herrmann CS. Boosting brain functions: improving executive functions with behavioral training, neurostimulation, and neurofeedback. Int J Psychophysiol. 2013;88:1-16. doi:10.1016/j.ijpsycho.2013.02.001
  17. Ghaziri J, Tucholka A, Larue V, et al. Neurofeedback training induces changes in white and gray matter. Clin EEG Neurosci. 2013;44:265-272. doi:10.1177/1550059413476031
  18. Ibric VL, Dragomirescu LG, Hudspeth WJ. Real-time changes in connectivities during neurofeedback. J Neurother. 2009;13:156-165. doi:10.1080/10874200903118378
  19. Clark VP, Parasuraman R. Neuroenhancement: enhancing brain and mind in health and in disease. Neuroimage. 2014;85:889-894. doi:10.1016/j.neuroimage.2013.08.071
  20. Larsen S, Sherlin L. Neurofeedback: an emerging technology for treating central nervous system dysregulation. Psychiatr Clin North Am. 2013;36:163-168. doi:10.1016/j.psc.2013.01.005
  21. Hammond DC. What is neurofeedback: an update. J Neurother. 2011; 15:305-336. doi:10.1080/10874208.2011.623090
  22. Othmer S. Endogenous neuromodulation at infra-low frequencies. In: Chartier DR, Dellinger MB, Evans JR, Budzynski HK, eds. Introduction to Quantitative EEG and Neurofeedback. 3rd ed. Academic Press; 2023:283-299. doi:10.1016/B978-0-323-89827-0.00001-2
  23. Othmer SF. History of the Othmer Method: an evolving clinical model and process. In: Evans JR, Dellinger MB, Russell HL, eds. Neurofeedback: The First Fifty Years. Academic Press; 2020:327-334. doi:10.1016/B978-0-12-817659-7.00043-9
  24. Legarda SB, Lahti CE, McDermott D, Michas-Martin A. Use of novel concussion protocol with infralow frequency neuromodulation demonstrates significant treatment response in patients with persistent postconcussion symptoms, a retrospective study. Front Hum Neurosci. 2022;16:894758. doi:10.3389/fnhum.2022.894758
  25. Carlson J, Ross GW. Neurofeedback impact on chronic headache, sleep, and attention disorders experienced by veterans with mild traumatic brain injury: a pilot study. Biofeedback. 2021;49:2-9. doi:10.5298/1081-5937-49.01.01
  26. Dobrushina O, Arina G, Osina E, Aziatskaya G. Clinical and psychological confirmation of stabilizing effect of neurofeedback in migraine. Eur Psychiatry. 2017;41:S253-S253. doi:10.1016/j.eurpsy.2017.02.045
  27. Arina GA, Dobrushina OR, Shvetsova ET, et al. Infra-low frequency neurofeedback in tension-type headache: a cross-over sham-controlled study. Front Hum Neurosci. 2022;16:891323. doi:10.3389/fnhum.2022.891323
  28. Kirk HW, Dahl MG. Infra low frequency neurofeedback training for trauma recovery: a case report. Front Hum Neurosci. 2022;16:905823. doi:10.3389/fnhum.2022.905823
  29. Benson A, LaDou T. The use of neurofeedback for combat veterans with post-traumatic stress. In: Kirk HW, ed. Restoring the Brain: Neurofeedback as an Integrative Approach to Health. CRC Press; 2015.
  30. Legarda SB, McMahon D, Othmer S, Othmer S. Clinical neurofeedback: case studies, proposed mechanism, and implications for pediatric neurology practice. J Child Neurol. 2011;26:1045-1051. doi:10.1177/0883073811405052
  31. McMahon DE. Notes from clinical practice: an MD’s perspective on 9 years of neurofeedback practice. Semin Pediatr Neurol. 2013;20:258-260. doi:10.1016/j.spen.2013.10.007
  32. Othmer S, Othmer SF. Post traumatic stress disorder— the neurofeedback remedy. Biofeedback. 2009;37:24-31. doi:10.5298/1081-5937-37.1.24
  33. Shapero E, Prager J. ILF Neurofeedback and alpha-theta training in a multidisciplinary chronic pain program. In: Kirk HW, ed. Restoring the Brain: Neurofeedback as an Integrative Approach to Health. 2nd ed. Routledge; 2020:223-243.
  34. Carlson J, Ross G, Tyrrell C, et al. Infra-low frequency neurofeedback impact on post-concussive symptoms of headache, insomnia and attention disorder: results of a randomized control trial. Explore (NY). 2025;21:103137. doi:10.1016/j.explore.2025.103137
  35. Posner K, Brown GK, Stanley B, et al. The Columbia– Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry. 2011;168:1266- 1277. doi:10.1176/appi.ajp.2011.10111704
  36. Kosinski M, Bayliss MS, Bjorner JB, et al. A six-item short-form survey for measuring headache impact: the HIT-6. Qual Life Res. 2003;12:963-974. doi:10.1023/a:1026119331193
  37. Coeytaux RR, Kaufman JS, Chao R, Mann JD, Devellis RF. Four methods of estimating the minimal important difference score were compared to establish a clinically significant change in Headache Impact Test. J Clin Epidemiol. 2006;59:374-380. doi:10.1016/j.jclinepi.2005.05.010
  38. Tulsky DS, Tyner CE, Boulton AJ, et al. Development of the TBI-QOL Headache Pain Item Bank and Short Form. J Head Trauma Rehabil. 2019;34:298-307. doi:10.1097/HTR.0000000000000532
  39. Poritz JMP, Sherer M, Kisala MA, et al. Responsiveness of the Traumatic Brain Injury-Quality of Life (TBI-QOL) measurement system. Arch Phys Med Rehabil. 2020;101:54- 61. doi:10.1016/j.apmr.2017.11.018
  40. Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2:297-307. doi:10.1016/s1389-9457(00)00065-4
  41. Yang M, Morin CM, Schaefer M, Wallenstein GV. Interpreting score differences in the Insomnia Severity Index: using health-related outcomes to define the minimally important difference. Curr Med Res Opin. 2009;25:2487-2494. doi:10.1185/03007990903167415
  42. Cella D, Lai J-S, Nowinski CJ, et al. Neuro-QOL Brief measures of health-related quality of life for clinical research in neurology. Neurology. 2012;78:1860-1867. doi:10.1212/WNL.0b013e318258f744
  43. Kozlowski AJ, Cella D, Nitsch KP, Heinemann AW. Evaluating individual change with the Quality of Life in Neurological Disorders (Neuro-QoL) short forms. Arch Phys Med Rehabil. 2016;97:650-654.e8. doi:10.1016/j.apmr.2015.12.010
  44. Versace M. QIKTest Report on EEG Expert: introduction and overview. 2014. Accessed February 24, 2026. https://media.voog.com/0000/0044/8343/files/EEGexpert_manual_newreport2014_EN.pdf
  45. Truelle J-L, Koskinen S, Hawthorne G, et al. Quality of life after traumatic brain injury: the clinical use of the QOLIBRI, a novel disease-specific instrument. Brain Inj. 2010;24:1272-1291. doi:10.3109/02699052.2010.506865
  46. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606-613. doi:10.1046/j.1525-1497.2001.016009606.x
  47. Kroenke K. Enhancing the clinical utility of depression screening. CMAJ. 2012;184:281-282. doi:10.1503/cmaj.112004
  48. Weathers FW, Litz BT, Keane TM, et al. PTSD checklist for DSM-5 (PCL-5). National Center for PTSD. Updated September 10, 2025. Accessed February 24, 2026. https:// www.ptsd.va.gov/professional/assessment/adult-sr/ptsd-checklist.asp
  49. Henry JD, Crawford JR. The short]form version of the Depression Anxiety Stress Scales (DASS]21): construct validity and normative data in a large non]clinical sample. Br J Clin Psychol. 2005;44:227-239. doi:10.1348/014466505X29657
  50. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. 1995;33(3):335-343. doi:10.1016/0005-7967(94)00075-u
  51. Ronk FR, Korman JR, Hooke GR, Page AC. Assessing clinical significance of treatment outcomes using the DASS-21. Psychol Assess. 2013;25:1103-1110. doi:10.1037/a0033100
  52. Carlson J. General symptom inventory. Description published online 2021.
  53. Nelson DV, Esty ML. Neurotherapy of traumatic brain injury/ posttraumatic stress symptoms in OEF/OIF veterans. J Neuropsychiatry Clin Neurosci. 2012;24:237-240. doi:10.1176/appi.neuropsych.11020041
  54. Zoefel B, Huster RJ, Herrmann CS. Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. Neuroimage. 2011;54:1427-1431. doi:10.1016/j.neuroimage.2010.08.078
  55. Othmer S, Othmer S. Toward a theory of infra-low frequency neurofeedback. In: Kirk HW, ed. Restoring the Brain: Neurofeedback as an Integrative Approach to Health. 2nd ed. Routledge; 2020.
  56. Huster RJ, Mokom ZN, Enriquez-Geppert S, Herrmann CS. Brain–computer interfaces for EEG neurofeedback: peculiarities and solutions. Int J Psychophysiol. 2014;91:36-45. doi:10.1016/j.ijpsycho.2013.08.011
  57. Ord AS, Martindale SL, Jenks ER, Rowland JA. Subjective cognitive complaints and objective cognitive functioning in combat veterans: effects of PTSD and deployment mild TBI. Appl Neuropsychol Adult. 2025;32:1400-1406. doi:10.1080/23279095.2023.2280807
  58. Lawton J, Blackburn M, Breckenridge J, Hallowell N, Farrington C, Rankin D. Ambassadors of hope, research pioneers and agents of change-individuals’ expectations and experiences of taking part in a randomised trial of an innovative health technology: longitudinal qualitative study. Trials. 2019;20:289. doi:10.1186/s13063-019-3373-9
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Atopic Dermatitis and Sleep Disturbances

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Recently one of my keep-up-to-date apps alerted me to a study in Pediatric Dermatology on sleep and atopic dermatitis. When I chased down the abstract it was a shoulder-shrugging-so-what encounter. The authors reported that having a child with atopic dermatitis decreased the odds of a parent getting 7 hours of sleep a night and increased the odds that the parent was also taking sleep-aiding medications. The authors felt their data was meaningful enough to publish based on the size and the cross-sectional nature of their sample. However, anyone who has worked with families with atopic dermatitis shouldn’t be surprised at their findings.

Curious about what other investigators had discovered about the anecdotally obvious relationship between sleep and atopic dermatitis, I dug until I found a rather thorough discussion of the literature published in The Journal of Clinical Immunology Practice. These authors from the University of Rochester Medical School in New York begin by pointing out that, although 47%-80% of children with atopic dermatitis and 33%-90% of adults with atopic dermatitis have disturbed sleep, “literature on this topic remains sparse with most studies evaluating sleep as a secondary outcome using subjective measures.” They further note that sleep is one of the three most problematic symptoms for children with atopic dermatitis and their families. 

 

Dr. William G. Wilkoff

Characterizing the Sleep Loss

Difficulty falling asleep, frequent and long waking, and excessive daytime sleepiness are the most common symptoms reported. In the few sleep laboratory studies that have been done there has been no significant decrease in sleep duration, which is a bit of a surprise. However, as expected, sleep-onset latency, more wake time after sleep onset, sleep fragmentation, and decreased sleep efficiency have been observed in the atopic dermatitis patients. In other studies of younger children, female gender and lower socioeconomic status seem to be associated with poor sleep quality.

Most studies found that in general the prevalence and severity of sleep disturbances increases with the severity of the disease. As the disease flares, increased bedtime resistance, nocturnal wakings and daytime sleepiness become more likely. These parentally reported associations have also been confirmed by sleep laboratory observations. 

The sleep disturbances quickly become a family affair with 60% of siblings and parents reporting disturbed sleep. When the child with atopic dermatitis is having a flareup, nearly 90% of their parents report losing up to 2.5 hours of sleep. Not surprisingly sleep disturbances have been associated with behavioral and emotional problems including decreased happiness, poor cognitive performance, hyperactivity, and inattention. Mothers seem to bear the brunt of the problem and interpersonal conflicts and exhaustion are unfortunately not uncommon.

 

Probing the Causes

So why are atopic dermatitis patients and their families so prone to the ill effects of disturbed sleep? Although you might think it should be obvious, this review of the “sparse” literature doesn’t provide a satisfying answer. However, the authors provide three possible explanations.

The one with the least supporting evidence is circadian variations in the products of inflammation such as cytokines and their effect on melatonin production. The explanation which I think most of us have already considered is that pruritus disrupts sleep. This is the often-quoted itch-scratch feedback cycle which can release inflammatory mediators (“pruritogens”). However, the investigators have found that many studies report “conflicting results or only weak correlations.”

The third alternative posed by the authors is by far the most appealing and hinges on the assumption that, as with many other chronic conditions, atopic dermatitis renders the patient vulnerable to insomnia. “Nocturnal scratching disrupts sleep and sets the stage for cognitive and behavioral factors that reinforce insomnia as a conditioned response.” In other words, even after the “co-concurring condition” resolves insomnia related sleep behaviors continue. The investigators point to a study supporting this explanation which found that, even after a child’s skin cleared, his/her sleep arousals failed to return to normal suggesting that learned behavior patterns might be playing a role.

It may be a stretch to suggest that poor sleep hygiene might in and of itself cause atopic dermatitis, but it can’t be ruled out. At a minimum the current research suggests that there is a bidirectional relationship between sleep disturbances and atopic dermatitis. 

 

Next Steps

The authors of this study urge that we be more creative in using already-existing portable and relatively low-cost sleep monitoring technology to better define this relationship. While that is a worthwhile avenue for research, I think we who see children (both primary care providers and dermatologists) now have enough evidence to move managing the sleep hygiene of our atopic dermatitis patients to the front burner, along with moisturizers and topical medications, without needing to do costly and time-consuming studies.

This means taking a thorough sleep history. If, in the rare cases where the child’s sleep habits are normal, the parents should be warned that falling off the sleep wagon is likely to exacerbate the child’s skin. If the history reveals an inefficient and dysfunctional bedtime routine or other symptoms of insomnia, advise the parents on how it can be improved. Then follow up at each visit if there has been no improvement. Sleep management can be time-consuming as well but it should be part of every primary care pediatrician’s toolbox. For the dermatologist who doesn’t feel comfortable managing sleep problems, a consultation with a pediatrician or a sleep specialist is in order.

The adult with atopic dermatitis is a somewhat different animal and a formal sleep study may be indicated. Cognitive-behavioral therapy might be helpful for adult population but the investigators could find no trials of its use in patients with atopic dermatitis.

Convincing the parents of an atopic dermatitis patient that their family’s disturbed sleep may not only be the result of his/her itchy skin but may be a preexisting compounding problem may not be an easy sell. I hope if you can be open to the strong possibility that disordered sleep is not just the effect but in some ways may be a likely contributor to your patients’ atopic dermatitis, you may become more effective in managing the disease.

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

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Recently one of my keep-up-to-date apps alerted me to a study in Pediatric Dermatology on sleep and atopic dermatitis. When I chased down the abstract it was a shoulder-shrugging-so-what encounter. The authors reported that having a child with atopic dermatitis decreased the odds of a parent getting 7 hours of sleep a night and increased the odds that the parent was also taking sleep-aiding medications. The authors felt their data was meaningful enough to publish based on the size and the cross-sectional nature of their sample. However, anyone who has worked with families with atopic dermatitis shouldn’t be surprised at their findings.

Curious about what other investigators had discovered about the anecdotally obvious relationship between sleep and atopic dermatitis, I dug until I found a rather thorough discussion of the literature published in The Journal of Clinical Immunology Practice. These authors from the University of Rochester Medical School in New York begin by pointing out that, although 47%-80% of children with atopic dermatitis and 33%-90% of adults with atopic dermatitis have disturbed sleep, “literature on this topic remains sparse with most studies evaluating sleep as a secondary outcome using subjective measures.” They further note that sleep is one of the three most problematic symptoms for children with atopic dermatitis and their families. 

 

Dr. William G. Wilkoff

Characterizing the Sleep Loss

Difficulty falling asleep, frequent and long waking, and excessive daytime sleepiness are the most common symptoms reported. In the few sleep laboratory studies that have been done there has been no significant decrease in sleep duration, which is a bit of a surprise. However, as expected, sleep-onset latency, more wake time after sleep onset, sleep fragmentation, and decreased sleep efficiency have been observed in the atopic dermatitis patients. In other studies of younger children, female gender and lower socioeconomic status seem to be associated with poor sleep quality.

Most studies found that in general the prevalence and severity of sleep disturbances increases with the severity of the disease. As the disease flares, increased bedtime resistance, nocturnal wakings and daytime sleepiness become more likely. These parentally reported associations have also been confirmed by sleep laboratory observations. 

The sleep disturbances quickly become a family affair with 60% of siblings and parents reporting disturbed sleep. When the child with atopic dermatitis is having a flareup, nearly 90% of their parents report losing up to 2.5 hours of sleep. Not surprisingly sleep disturbances have been associated with behavioral and emotional problems including decreased happiness, poor cognitive performance, hyperactivity, and inattention. Mothers seem to bear the brunt of the problem and interpersonal conflicts and exhaustion are unfortunately not uncommon.

 

Probing the Causes

So why are atopic dermatitis patients and their families so prone to the ill effects of disturbed sleep? Although you might think it should be obvious, this review of the “sparse” literature doesn’t provide a satisfying answer. However, the authors provide three possible explanations.

The one with the least supporting evidence is circadian variations in the products of inflammation such as cytokines and their effect on melatonin production. The explanation which I think most of us have already considered is that pruritus disrupts sleep. This is the often-quoted itch-scratch feedback cycle which can release inflammatory mediators (“pruritogens”). However, the investigators have found that many studies report “conflicting results or only weak correlations.”

The third alternative posed by the authors is by far the most appealing and hinges on the assumption that, as with many other chronic conditions, atopic dermatitis renders the patient vulnerable to insomnia. “Nocturnal scratching disrupts sleep and sets the stage for cognitive and behavioral factors that reinforce insomnia as a conditioned response.” In other words, even after the “co-concurring condition” resolves insomnia related sleep behaviors continue. The investigators point to a study supporting this explanation which found that, even after a child’s skin cleared, his/her sleep arousals failed to return to normal suggesting that learned behavior patterns might be playing a role.

It may be a stretch to suggest that poor sleep hygiene might in and of itself cause atopic dermatitis, but it can’t be ruled out. At a minimum the current research suggests that there is a bidirectional relationship between sleep disturbances and atopic dermatitis. 

 

Next Steps

The authors of this study urge that we be more creative in using already-existing portable and relatively low-cost sleep monitoring technology to better define this relationship. While that is a worthwhile avenue for research, I think we who see children (both primary care providers and dermatologists) now have enough evidence to move managing the sleep hygiene of our atopic dermatitis patients to the front burner, along with moisturizers and topical medications, without needing to do costly and time-consuming studies.

This means taking a thorough sleep history. If, in the rare cases where the child’s sleep habits are normal, the parents should be warned that falling off the sleep wagon is likely to exacerbate the child’s skin. If the history reveals an inefficient and dysfunctional bedtime routine or other symptoms of insomnia, advise the parents on how it can be improved. Then follow up at each visit if there has been no improvement. Sleep management can be time-consuming as well but it should be part of every primary care pediatrician’s toolbox. For the dermatologist who doesn’t feel comfortable managing sleep problems, a consultation with a pediatrician or a sleep specialist is in order.

The adult with atopic dermatitis is a somewhat different animal and a formal sleep study may be indicated. Cognitive-behavioral therapy might be helpful for adult population but the investigators could find no trials of its use in patients with atopic dermatitis.

Convincing the parents of an atopic dermatitis patient that their family’s disturbed sleep may not only be the result of his/her itchy skin but may be a preexisting compounding problem may not be an easy sell. I hope if you can be open to the strong possibility that disordered sleep is not just the effect but in some ways may be a likely contributor to your patients’ atopic dermatitis, you may become more effective in managing the disease.

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

Recently one of my keep-up-to-date apps alerted me to a study in Pediatric Dermatology on sleep and atopic dermatitis. When I chased down the abstract it was a shoulder-shrugging-so-what encounter. The authors reported that having a child with atopic dermatitis decreased the odds of a parent getting 7 hours of sleep a night and increased the odds that the parent was also taking sleep-aiding medications. The authors felt their data was meaningful enough to publish based on the size and the cross-sectional nature of their sample. However, anyone who has worked with families with atopic dermatitis shouldn’t be surprised at their findings.

Curious about what other investigators had discovered about the anecdotally obvious relationship between sleep and atopic dermatitis, I dug until I found a rather thorough discussion of the literature published in The Journal of Clinical Immunology Practice. These authors from the University of Rochester Medical School in New York begin by pointing out that, although 47%-80% of children with atopic dermatitis and 33%-90% of adults with atopic dermatitis have disturbed sleep, “literature on this topic remains sparse with most studies evaluating sleep as a secondary outcome using subjective measures.” They further note that sleep is one of the three most problematic symptoms for children with atopic dermatitis and their families. 

 

Dr. William G. Wilkoff

Characterizing the Sleep Loss

Difficulty falling asleep, frequent and long waking, and excessive daytime sleepiness are the most common symptoms reported. In the few sleep laboratory studies that have been done there has been no significant decrease in sleep duration, which is a bit of a surprise. However, as expected, sleep-onset latency, more wake time after sleep onset, sleep fragmentation, and decreased sleep efficiency have been observed in the atopic dermatitis patients. In other studies of younger children, female gender and lower socioeconomic status seem to be associated with poor sleep quality.

Most studies found that in general the prevalence and severity of sleep disturbances increases with the severity of the disease. As the disease flares, increased bedtime resistance, nocturnal wakings and daytime sleepiness become more likely. These parentally reported associations have also been confirmed by sleep laboratory observations. 

The sleep disturbances quickly become a family affair with 60% of siblings and parents reporting disturbed sleep. When the child with atopic dermatitis is having a flareup, nearly 90% of their parents report losing up to 2.5 hours of sleep. Not surprisingly sleep disturbances have been associated with behavioral and emotional problems including decreased happiness, poor cognitive performance, hyperactivity, and inattention. Mothers seem to bear the brunt of the problem and interpersonal conflicts and exhaustion are unfortunately not uncommon.

 

Probing the Causes

So why are atopic dermatitis patients and their families so prone to the ill effects of disturbed sleep? Although you might think it should be obvious, this review of the “sparse” literature doesn’t provide a satisfying answer. However, the authors provide three possible explanations.

The one with the least supporting evidence is circadian variations in the products of inflammation such as cytokines and their effect on melatonin production. The explanation which I think most of us have already considered is that pruritus disrupts sleep. This is the often-quoted itch-scratch feedback cycle which can release inflammatory mediators (“pruritogens”). However, the investigators have found that many studies report “conflicting results or only weak correlations.”

The third alternative posed by the authors is by far the most appealing and hinges on the assumption that, as with many other chronic conditions, atopic dermatitis renders the patient vulnerable to insomnia. “Nocturnal scratching disrupts sleep and sets the stage for cognitive and behavioral factors that reinforce insomnia as a conditioned response.” In other words, even after the “co-concurring condition” resolves insomnia related sleep behaviors continue. The investigators point to a study supporting this explanation which found that, even after a child’s skin cleared, his/her sleep arousals failed to return to normal suggesting that learned behavior patterns might be playing a role.

It may be a stretch to suggest that poor sleep hygiene might in and of itself cause atopic dermatitis, but it can’t be ruled out. At a minimum the current research suggests that there is a bidirectional relationship between sleep disturbances and atopic dermatitis. 

 

Next Steps

The authors of this study urge that we be more creative in using already-existing portable and relatively low-cost sleep monitoring technology to better define this relationship. While that is a worthwhile avenue for research, I think we who see children (both primary care providers and dermatologists) now have enough evidence to move managing the sleep hygiene of our atopic dermatitis patients to the front burner, along with moisturizers and topical medications, without needing to do costly and time-consuming studies.

This means taking a thorough sleep history. If, in the rare cases where the child’s sleep habits are normal, the parents should be warned that falling off the sleep wagon is likely to exacerbate the child’s skin. If the history reveals an inefficient and dysfunctional bedtime routine or other symptoms of insomnia, advise the parents on how it can be improved. Then follow up at each visit if there has been no improvement. Sleep management can be time-consuming as well but it should be part of every primary care pediatrician’s toolbox. For the dermatologist who doesn’t feel comfortable managing sleep problems, a consultation with a pediatrician or a sleep specialist is in order.

The adult with atopic dermatitis is a somewhat different animal and a formal sleep study may be indicated. Cognitive-behavioral therapy might be helpful for adult population but the investigators could find no trials of its use in patients with atopic dermatitis.

Convincing the parents of an atopic dermatitis patient that their family’s disturbed sleep may not only be the result of his/her itchy skin but may be a preexisting compounding problem may not be an easy sell. I hope if you can be open to the strong possibility that disordered sleep is not just the effect but in some ways may be a likely contributor to your patients’ atopic dermatitis, you may become more effective in managing the disease.

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

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Daycare Providers’ Little Helper

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It is no secret that we have a daycare problem in this country. Twenty percent of families spend more than $36,000 for child care annually. Three quarters of a single parent’s income is spent on infant care. The result is that more than $122 billion is syphoned out of our economy in lost productivity and income.

How we got into this situation is less clear. Women who once were stay-at-home moms have moved into the workplace. Families are more mobile and grandparents who had been a source of childcare may live hours away. And, when they are nearby grandparents may themselves been forced to remain employed for economic reasons.

 

Dr. William G. Wilkoff

Despite the increase demand the market has failed to respond with more daycare providers because with a median hourly wage of less than $15.00 it is difficult to attract applicants from a pool of potential employees that is already in great demand.

And, let’s be honest, long hours cooped up inside with infants and toddlers isn’t the right job for everyone. For the most successful, although maybe not financially, providing daycare is truly a labor of love. There are high school and community college courses taught on child development and day care management. Experienced providers can be a source of tips-of-the trade to those just starting out. But, when there are three infants crying, two diapers to be changed, and a toddler heading toward a tantrum, two experienced providers may not be enough to calm the turbulent waters. 

A recent article in my local newspaper provided stark evidence of how serious our daycare situation has become. Although the daycare owner denies the allegation, the Department of Health and Human Service told the parents that the investigation currently supports their complaints that the children had been given melatonin gummies without their permission. Final action is pending but it is likely the daycare will lose its license. Not surprisingly the parents have already removed their children.

Curious about whether this situation was an isolated event, it didn’t take Google too long to find evidence of other daycares in which children had been given sleep-related medications without their parents’ permission. In May 2024 a daycare provider and three of her employees in Manchester, New Hampshire, were arrested and charged with endangering the welfare of a child after allegedly spiking their charges food with melatonin. Lest you think drugging infants in daycare is just a New England thing, my research found a news story dating back to 2003 that reported on several cases in which daycare providers had been administering diphenhydramine without parents permission. In one instance there was a fatal outcome. While melatonin does not pose a health risk on a par with diphenhydramine, the issue is the fact that the parents were not consulted.

I suspect that these two incidents in Maine and New Hampshire are not isolated events and melatonin has replaced diphenhydramine as the daycare provider’s “little helper” nationwide. It’s not clear how we as pediatricians can help police this practice, other than suggesting to parents that they initiate dialogues about napping strategies with their daycare providers. Not with an accusatory tone but more of a sharing about what tricks each party uses to make napping happen. It may be that the daycare provider has some valuable and sound advice that the parents can adapt to their home situation. However, if the daycare provider’s explanation for why the child naps well doesn’t sound right or the child is unusually drowsy after daycare visits they should share their concerns with us a pediatric health care advisors. 

 

Dr Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

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It is no secret that we have a daycare problem in this country. Twenty percent of families spend more than $36,000 for child care annually. Three quarters of a single parent’s income is spent on infant care. The result is that more than $122 billion is syphoned out of our economy in lost productivity and income.

How we got into this situation is less clear. Women who once were stay-at-home moms have moved into the workplace. Families are more mobile and grandparents who had been a source of childcare may live hours away. And, when they are nearby grandparents may themselves been forced to remain employed for economic reasons.

 

Dr. William G. Wilkoff

Despite the increase demand the market has failed to respond with more daycare providers because with a median hourly wage of less than $15.00 it is difficult to attract applicants from a pool of potential employees that is already in great demand.

And, let’s be honest, long hours cooped up inside with infants and toddlers isn’t the right job for everyone. For the most successful, although maybe not financially, providing daycare is truly a labor of love. There are high school and community college courses taught on child development and day care management. Experienced providers can be a source of tips-of-the trade to those just starting out. But, when there are three infants crying, two diapers to be changed, and a toddler heading toward a tantrum, two experienced providers may not be enough to calm the turbulent waters. 

A recent article in my local newspaper provided stark evidence of how serious our daycare situation has become. Although the daycare owner denies the allegation, the Department of Health and Human Service told the parents that the investigation currently supports their complaints that the children had been given melatonin gummies without their permission. Final action is pending but it is likely the daycare will lose its license. Not surprisingly the parents have already removed their children.

Curious about whether this situation was an isolated event, it didn’t take Google too long to find evidence of other daycares in which children had been given sleep-related medications without their parents’ permission. In May 2024 a daycare provider and three of her employees in Manchester, New Hampshire, were arrested and charged with endangering the welfare of a child after allegedly spiking their charges food with melatonin. Lest you think drugging infants in daycare is just a New England thing, my research found a news story dating back to 2003 that reported on several cases in which daycare providers had been administering diphenhydramine without parents permission. In one instance there was a fatal outcome. While melatonin does not pose a health risk on a par with diphenhydramine, the issue is the fact that the parents were not consulted.

I suspect that these two incidents in Maine and New Hampshire are not isolated events and melatonin has replaced diphenhydramine as the daycare provider’s “little helper” nationwide. It’s not clear how we as pediatricians can help police this practice, other than suggesting to parents that they initiate dialogues about napping strategies with their daycare providers. Not with an accusatory tone but more of a sharing about what tricks each party uses to make napping happen. It may be that the daycare provider has some valuable and sound advice that the parents can adapt to their home situation. However, if the daycare provider’s explanation for why the child naps well doesn’t sound right or the child is unusually drowsy after daycare visits they should share their concerns with us a pediatric health care advisors. 

 

Dr Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

It is no secret that we have a daycare problem in this country. Twenty percent of families spend more than $36,000 for child care annually. Three quarters of a single parent’s income is spent on infant care. The result is that more than $122 billion is syphoned out of our economy in lost productivity and income.

How we got into this situation is less clear. Women who once were stay-at-home moms have moved into the workplace. Families are more mobile and grandparents who had been a source of childcare may live hours away. And, when they are nearby grandparents may themselves been forced to remain employed for economic reasons.

 

Dr. William G. Wilkoff

Despite the increase demand the market has failed to respond with more daycare providers because with a median hourly wage of less than $15.00 it is difficult to attract applicants from a pool of potential employees that is already in great demand.

And, let’s be honest, long hours cooped up inside with infants and toddlers isn’t the right job for everyone. For the most successful, although maybe not financially, providing daycare is truly a labor of love. There are high school and community college courses taught on child development and day care management. Experienced providers can be a source of tips-of-the trade to those just starting out. But, when there are three infants crying, two diapers to be changed, and a toddler heading toward a tantrum, two experienced providers may not be enough to calm the turbulent waters. 

A recent article in my local newspaper provided stark evidence of how serious our daycare situation has become. Although the daycare owner denies the allegation, the Department of Health and Human Service told the parents that the investigation currently supports their complaints that the children had been given melatonin gummies without their permission. Final action is pending but it is likely the daycare will lose its license. Not surprisingly the parents have already removed their children.

Curious about whether this situation was an isolated event, it didn’t take Google too long to find evidence of other daycares in which children had been given sleep-related medications without their parents’ permission. In May 2024 a daycare provider and three of her employees in Manchester, New Hampshire, were arrested and charged with endangering the welfare of a child after allegedly spiking their charges food with melatonin. Lest you think drugging infants in daycare is just a New England thing, my research found a news story dating back to 2003 that reported on several cases in which daycare providers had been administering diphenhydramine without parents permission. In one instance there was a fatal outcome. While melatonin does not pose a health risk on a par with diphenhydramine, the issue is the fact that the parents were not consulted.

I suspect that these two incidents in Maine and New Hampshire are not isolated events and melatonin has replaced diphenhydramine as the daycare provider’s “little helper” nationwide. It’s not clear how we as pediatricians can help police this practice, other than suggesting to parents that they initiate dialogues about napping strategies with their daycare providers. Not with an accusatory tone but more of a sharing about what tricks each party uses to make napping happen. It may be that the daycare provider has some valuable and sound advice that the parents can adapt to their home situation. However, if the daycare provider’s explanation for why the child naps well doesn’t sound right or the child is unusually drowsy after daycare visits they should share their concerns with us a pediatric health care advisors. 

 

Dr Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

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Obesity Drug Zepbound Approved for Obstructive Sleep Apnea

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The Food and Drug Administration (FDA) has approved the obesity treatment tirzepatide (Zepbound, Eli Lilly) for treating moderate to severe obstructive sleep apnea (OSA) in adults with obesity.

The new indication is for use in combination with reduced-calorie diet and increased physical activity. The once-weekly injectable is the first-ever drug treatment for OSA. Until now, OSA treatment has focused on mechanical support during sleep in the form of positive airway pressure (PAP) therapy. 

“Today’s approval marks the first drug treatment option for certain patients with obstructive sleep apnea,” said Sally Seymour, MD, director of the Division of Pulmonology, Allergy, and Critical Care in the FDA’s Center for Drug Evaluation and Research. “This is a major step forward for patients with obstructive sleep apnea.”

Excess weight is a major risk factor for OSA, in which the upper airways become blocked multiple times during sleep and obstruct breathing. The condition causes loud snoring, recurrent awakenings, and daytime sleepiness. It is also associated with cardiovascular disease.

Tirzepatide, a dual glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide receptor agonist, was initially approved with brand name Mounjaro in May 2022 for the treatment of type 2 diabetes, and as Zepbound for weight loss in November 2023.

The new OSA approval was based on two phase 3, double-blind randomized controlled trials, SURMOUNT-OSA, in patients with obesity and moderate to severe OSA, conducted at 60 sites in nine countries. Results from both were presented in June 2024 at the annual Scientific Sessions of the American Diabetes Association and were simultaneously published in The New England Journal of Medicine.

The first trial enrolled 469 participants who were unable or unwilling to use PAP therapy, while the second included 234 who had been using PAP for at least 3 months and planned to continue during the trial. In both, the participants randomly received either 10 mg or 15 mg of tirzepatide or placebo once weekly for 52 weeks.

At baseline, 65%-70% of participants had severe OSA, with more than 30 events/h on the apnea-hypopnea index (AHI) and a mean of 51.5 events/h. By 52 weeks, those randomized to tirzepatide had 27-30 fewer events/h, compared with 4-6 fewer events/h for those taking placebo. In addition, significantly more of those on tirzepatide achieved OSA remission or severity reduction to mild.

Those randomized to tirzepatide also averaged up to 20% weight loss, significantly more than with placebo. “The improvement in AHI in participants with OSA is likely related to body weight reduction with Zepbound,” according to an FDA statement.

Side effects of tirzepatide include nausea, diarrhea, vomiting, constipation, abdominal discomfort and pain, injection site reactions, fatigue, hypersensitivity reactions (typically fever and rash), burping, hair loss, and gastroesophageal reflux disease.

In an editorial accompanying The New England Journal of Medicine publication of the SURMOUNT-OSA results, Sanjay R. Patel, MD, wrote: “The potential incorporation of tirzepatide into treatment algorithms for obstructive sleep apnea should include consideration of the challenges of adherence to treatment and the imperative to address racial disparities in medical care.”

Patel, who is professor of medicine and epidemiology at the University of Pittsburgh in Pennsylvania, and medical director of the University of Pittsburgh Medical Center’s Comprehensive Sleep Disorders program, pointed out that suboptimal adherence to continuous PAP therapy has been a major limitation, but that adherence to the GLP-1 drug class has also been suboptimal.

“Although adherence to tirzepatide therapy in the SURMOUNT-OSA trial was high, real-world evidence suggests that nearly 50% of patients who begin treatment with a GLP-1 receptor agonist for obesity discontinue therapy within 12 months. Thus, it is likely that any incorporation of tirzepatide into treatment pathways for obstructive sleep apnea will not diminish the importance of long-term strategies to optimize adherence to treatment.”

Moreover, Patel noted, “racial disparities in the use of GLP-1 receptor agonists among patients with diabetes arouse concern that the addition of tirzepatide as a treatment option for obstructive sleep apnea without directly addressing policies relative to coverage of care will only further exacerbate already pervasive disparities in clinical care for obstructive sleep apnea.”

Patel reported consulting for Apnimed, Bayer Pharmaceuticals, Lilly USA, NovaResp Technologies, Philips Respironics, and Powell Mansfield. He is a fiduciary officer of BreathPA.

A version of this article first appeared on Medscape.com.

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The Food and Drug Administration (FDA) has approved the obesity treatment tirzepatide (Zepbound, Eli Lilly) for treating moderate to severe obstructive sleep apnea (OSA) in adults with obesity.

The new indication is for use in combination with reduced-calorie diet and increased physical activity. The once-weekly injectable is the first-ever drug treatment for OSA. Until now, OSA treatment has focused on mechanical support during sleep in the form of positive airway pressure (PAP) therapy. 

“Today’s approval marks the first drug treatment option for certain patients with obstructive sleep apnea,” said Sally Seymour, MD, director of the Division of Pulmonology, Allergy, and Critical Care in the FDA’s Center for Drug Evaluation and Research. “This is a major step forward for patients with obstructive sleep apnea.”

Excess weight is a major risk factor for OSA, in which the upper airways become blocked multiple times during sleep and obstruct breathing. The condition causes loud snoring, recurrent awakenings, and daytime sleepiness. It is also associated with cardiovascular disease.

Tirzepatide, a dual glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide receptor agonist, was initially approved with brand name Mounjaro in May 2022 for the treatment of type 2 diabetes, and as Zepbound for weight loss in November 2023.

The new OSA approval was based on two phase 3, double-blind randomized controlled trials, SURMOUNT-OSA, in patients with obesity and moderate to severe OSA, conducted at 60 sites in nine countries. Results from both were presented in June 2024 at the annual Scientific Sessions of the American Diabetes Association and were simultaneously published in The New England Journal of Medicine.

The first trial enrolled 469 participants who were unable or unwilling to use PAP therapy, while the second included 234 who had been using PAP for at least 3 months and planned to continue during the trial. In both, the participants randomly received either 10 mg or 15 mg of tirzepatide or placebo once weekly for 52 weeks.

At baseline, 65%-70% of participants had severe OSA, with more than 30 events/h on the apnea-hypopnea index (AHI) and a mean of 51.5 events/h. By 52 weeks, those randomized to tirzepatide had 27-30 fewer events/h, compared with 4-6 fewer events/h for those taking placebo. In addition, significantly more of those on tirzepatide achieved OSA remission or severity reduction to mild.

Those randomized to tirzepatide also averaged up to 20% weight loss, significantly more than with placebo. “The improvement in AHI in participants with OSA is likely related to body weight reduction with Zepbound,” according to an FDA statement.

Side effects of tirzepatide include nausea, diarrhea, vomiting, constipation, abdominal discomfort and pain, injection site reactions, fatigue, hypersensitivity reactions (typically fever and rash), burping, hair loss, and gastroesophageal reflux disease.

In an editorial accompanying The New England Journal of Medicine publication of the SURMOUNT-OSA results, Sanjay R. Patel, MD, wrote: “The potential incorporation of tirzepatide into treatment algorithms for obstructive sleep apnea should include consideration of the challenges of adherence to treatment and the imperative to address racial disparities in medical care.”

Patel, who is professor of medicine and epidemiology at the University of Pittsburgh in Pennsylvania, and medical director of the University of Pittsburgh Medical Center’s Comprehensive Sleep Disorders program, pointed out that suboptimal adherence to continuous PAP therapy has been a major limitation, but that adherence to the GLP-1 drug class has also been suboptimal.

“Although adherence to tirzepatide therapy in the SURMOUNT-OSA trial was high, real-world evidence suggests that nearly 50% of patients who begin treatment with a GLP-1 receptor agonist for obesity discontinue therapy within 12 months. Thus, it is likely that any incorporation of tirzepatide into treatment pathways for obstructive sleep apnea will not diminish the importance of long-term strategies to optimize adherence to treatment.”

Moreover, Patel noted, “racial disparities in the use of GLP-1 receptor agonists among patients with diabetes arouse concern that the addition of tirzepatide as a treatment option for obstructive sleep apnea without directly addressing policies relative to coverage of care will only further exacerbate already pervasive disparities in clinical care for obstructive sleep apnea.”

Patel reported consulting for Apnimed, Bayer Pharmaceuticals, Lilly USA, NovaResp Technologies, Philips Respironics, and Powell Mansfield. He is a fiduciary officer of BreathPA.

A version of this article first appeared on Medscape.com.

The Food and Drug Administration (FDA) has approved the obesity treatment tirzepatide (Zepbound, Eli Lilly) for treating moderate to severe obstructive sleep apnea (OSA) in adults with obesity.

The new indication is for use in combination with reduced-calorie diet and increased physical activity. The once-weekly injectable is the first-ever drug treatment for OSA. Until now, OSA treatment has focused on mechanical support during sleep in the form of positive airway pressure (PAP) therapy. 

“Today’s approval marks the first drug treatment option for certain patients with obstructive sleep apnea,” said Sally Seymour, MD, director of the Division of Pulmonology, Allergy, and Critical Care in the FDA’s Center for Drug Evaluation and Research. “This is a major step forward for patients with obstructive sleep apnea.”

Excess weight is a major risk factor for OSA, in which the upper airways become blocked multiple times during sleep and obstruct breathing. The condition causes loud snoring, recurrent awakenings, and daytime sleepiness. It is also associated with cardiovascular disease.

Tirzepatide, a dual glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide receptor agonist, was initially approved with brand name Mounjaro in May 2022 for the treatment of type 2 diabetes, and as Zepbound for weight loss in November 2023.

The new OSA approval was based on two phase 3, double-blind randomized controlled trials, SURMOUNT-OSA, in patients with obesity and moderate to severe OSA, conducted at 60 sites in nine countries. Results from both were presented in June 2024 at the annual Scientific Sessions of the American Diabetes Association and were simultaneously published in The New England Journal of Medicine.

The first trial enrolled 469 participants who were unable or unwilling to use PAP therapy, while the second included 234 who had been using PAP for at least 3 months and planned to continue during the trial. In both, the participants randomly received either 10 mg or 15 mg of tirzepatide or placebo once weekly for 52 weeks.

At baseline, 65%-70% of participants had severe OSA, with more than 30 events/h on the apnea-hypopnea index (AHI) and a mean of 51.5 events/h. By 52 weeks, those randomized to tirzepatide had 27-30 fewer events/h, compared with 4-6 fewer events/h for those taking placebo. In addition, significantly more of those on tirzepatide achieved OSA remission or severity reduction to mild.

Those randomized to tirzepatide also averaged up to 20% weight loss, significantly more than with placebo. “The improvement in AHI in participants with OSA is likely related to body weight reduction with Zepbound,” according to an FDA statement.

Side effects of tirzepatide include nausea, diarrhea, vomiting, constipation, abdominal discomfort and pain, injection site reactions, fatigue, hypersensitivity reactions (typically fever and rash), burping, hair loss, and gastroesophageal reflux disease.

In an editorial accompanying The New England Journal of Medicine publication of the SURMOUNT-OSA results, Sanjay R. Patel, MD, wrote: “The potential incorporation of tirzepatide into treatment algorithms for obstructive sleep apnea should include consideration of the challenges of adherence to treatment and the imperative to address racial disparities in medical care.”

Patel, who is professor of medicine and epidemiology at the University of Pittsburgh in Pennsylvania, and medical director of the University of Pittsburgh Medical Center’s Comprehensive Sleep Disorders program, pointed out that suboptimal adherence to continuous PAP therapy has been a major limitation, but that adherence to the GLP-1 drug class has also been suboptimal.

“Although adherence to tirzepatide therapy in the SURMOUNT-OSA trial was high, real-world evidence suggests that nearly 50% of patients who begin treatment with a GLP-1 receptor agonist for obesity discontinue therapy within 12 months. Thus, it is likely that any incorporation of tirzepatide into treatment pathways for obstructive sleep apnea will not diminish the importance of long-term strategies to optimize adherence to treatment.”

Moreover, Patel noted, “racial disparities in the use of GLP-1 receptor agonists among patients with diabetes arouse concern that the addition of tirzepatide as a treatment option for obstructive sleep apnea without directly addressing policies relative to coverage of care will only further exacerbate already pervasive disparities in clinical care for obstructive sleep apnea.”

Patel reported consulting for Apnimed, Bayer Pharmaceuticals, Lilly USA, NovaResp Technologies, Philips Respironics, and Powell Mansfield. He is a fiduciary officer of BreathPA.

A version of this article first appeared on Medscape.com.

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Smart Mattress to Reduce SUDEP?

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A mattress designed to detect seizures in individuals with epilepsy who are lying face down and quickly reposition them onto their side could significantly reduce the risk for sudden unexpected death in epilepsy (SUDEP), says one of the experts involved in its development.

When used along with a seizure detection device, Jong Woo Lee, MD, PhD, associate professor of neurology, Harvard Medical School, and Brigham and Women’s Hospital, both in Boston, Massachusetts, estimates the smart mattress could cut SUDEP by more than 50%.

In addition, early results from an observational study are backing this up, he said.

The findings were presented at the American Epilepsy Society (AES) 78th Annual Meeting 2024.

 

Most SUDEP Cases Found Face Down

SUDEP is the leading cause of death in children with epilepsy and in otherwise healthy adult patients with epilepsy. When his fifth patient died of SUDEP, Lee decided it was time to try to tackle the high mortality rate associated with these unexpected deaths. “I desperately wanted to help, ” he said.

About 70% of SUDEP occurs during sleep, and victims are found face down, or in the prone position, 90% of the time, said Lee.

“Of course, the best way to prevent SUDEP is not to have a seizure, but once you have a seizure and once you’re face down, your risk for death goes up by somewhere between 30 and 100 times,” he explained.

Lee was convinced SUDEP could be prevented by simple interventions that stimulate the patient and turn them over. He noted the incidence of sudden infant death syndrome, “which has similar characteristics” to SUDEP, has been reduced by up to 75% through campaigns that simply advise placing babies on their backs.

“Most of SUDEP happens because your arousal system is knocked out and you just don’t take the breath that you’re supposed to. Just the act of turning people over and vibrating the bed will stimulate them,” he said.

However, it’s crucial that this be done quickly, said Lee. “When you look at patients who died on video and see the EEGs, everybody took their last breath within 3 minutes.”

Because the window of opportunity is so short, “we think that seizure detection devices alone are not going to really be effective because you just can’t get there or react within those 3 minutes.”

There are currently no products that detect the prone position or have the ability to reposition a patient quickly into the recovery sideways position.

Lee and his colleagues developed a smart system that can be embedded in a mattress that detects when someone is having a seizure, determines if that person is face down, and if so, safely stimulates and repositions them.

The mattress is made up of a series of programmable inflatable blocks or “cells” that have pressure, vibration, temperature, and humidity sensors embedded within. “Based on the pressure readings, we can figure out whether the patient is right side up, on their right side, on their left side, or face down,” said Lee.

If the person is face down, he or she can be repositioned within a matter of seconds. “Each of the cells can lift 1000 pounds,” he said. The mattress is “very comfortable,” said Lee, who has tried it out himself.

Eighteen normative control participants have been enrolled for development and training purposes. To date, 10 of these individuals, aged 18-53 years, weighing 100-182 lb, and with a height of 5 ft 2 in to 6 ft 1 in, underwent extensive formal testing on the prototype bed.

Researchers found the mattress responded quickly to different body positions and weights. “We were able to reposition everybody in around 20 seconds,” said Lee.

The overall accuracy of detecting the prone position was 96.8%. There were no cases of a supine or prone position being mistaken for each other.

Researchers are refining the algorithm to improve the accuracy for detecting the prone position and expect to have a completely functional prototype within a few years.

 

Big Step Forward

Commenting on the research, Daniel M. Goldenholz, MD, PhD, assistant professor, Division of Epilepsy, Harvard Beth Israel Deaconess Medical Center, Boston, said the study “is a big step forward in the race to provide an actionable tool to prevent SUDEP.”

The technology “appears to mostly be doing what it’s intended to do, with relatively minor technical errors being made,” he said.

However, it is not clear if this technology can truly save lives, said Goldenholz. “The data we have suggests that lying face down in bed after a seizure is correlated with SUDEP, but that does not mean that if we can simply flip people over, they for sure won’t die.”

Even if the new technology “works perfectly,” it’s still an open question, said Goldenholz. If it does save lives, “this will be a major breakthrough, and one that has been needed for a long time.”

However, even if it does not, he congratulates the team for trying to determine if reducing the prone position can help prevent SUDEP. He would like to see more “high-risk, high-reward” studies in the epilepsy field. “We are in so much need of new innovations.”

He said he was “personally very inspired” by this work. “People are dying from this terrible disease, and this team is building what they hope might save lives.”

The study was funded by the National Institutes of Health. The mattress is being developed by Soterya. Lee reported no equity in Soterya. Goldenholz reported no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

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A mattress designed to detect seizures in individuals with epilepsy who are lying face down and quickly reposition them onto their side could significantly reduce the risk for sudden unexpected death in epilepsy (SUDEP), says one of the experts involved in its development.

When used along with a seizure detection device, Jong Woo Lee, MD, PhD, associate professor of neurology, Harvard Medical School, and Brigham and Women’s Hospital, both in Boston, Massachusetts, estimates the smart mattress could cut SUDEP by more than 50%.

In addition, early results from an observational study are backing this up, he said.

The findings were presented at the American Epilepsy Society (AES) 78th Annual Meeting 2024.

 

Most SUDEP Cases Found Face Down

SUDEP is the leading cause of death in children with epilepsy and in otherwise healthy adult patients with epilepsy. When his fifth patient died of SUDEP, Lee decided it was time to try to tackle the high mortality rate associated with these unexpected deaths. “I desperately wanted to help, ” he said.

About 70% of SUDEP occurs during sleep, and victims are found face down, or in the prone position, 90% of the time, said Lee.

“Of course, the best way to prevent SUDEP is not to have a seizure, but once you have a seizure and once you’re face down, your risk for death goes up by somewhere between 30 and 100 times,” he explained.

Lee was convinced SUDEP could be prevented by simple interventions that stimulate the patient and turn them over. He noted the incidence of sudden infant death syndrome, “which has similar characteristics” to SUDEP, has been reduced by up to 75% through campaigns that simply advise placing babies on their backs.

“Most of SUDEP happens because your arousal system is knocked out and you just don’t take the breath that you’re supposed to. Just the act of turning people over and vibrating the bed will stimulate them,” he said.

However, it’s crucial that this be done quickly, said Lee. “When you look at patients who died on video and see the EEGs, everybody took their last breath within 3 minutes.”

Because the window of opportunity is so short, “we think that seizure detection devices alone are not going to really be effective because you just can’t get there or react within those 3 minutes.”

There are currently no products that detect the prone position or have the ability to reposition a patient quickly into the recovery sideways position.

Lee and his colleagues developed a smart system that can be embedded in a mattress that detects when someone is having a seizure, determines if that person is face down, and if so, safely stimulates and repositions them.

The mattress is made up of a series of programmable inflatable blocks or “cells” that have pressure, vibration, temperature, and humidity sensors embedded within. “Based on the pressure readings, we can figure out whether the patient is right side up, on their right side, on their left side, or face down,” said Lee.

If the person is face down, he or she can be repositioned within a matter of seconds. “Each of the cells can lift 1000 pounds,” he said. The mattress is “very comfortable,” said Lee, who has tried it out himself.

Eighteen normative control participants have been enrolled for development and training purposes. To date, 10 of these individuals, aged 18-53 years, weighing 100-182 lb, and with a height of 5 ft 2 in to 6 ft 1 in, underwent extensive formal testing on the prototype bed.

Researchers found the mattress responded quickly to different body positions and weights. “We were able to reposition everybody in around 20 seconds,” said Lee.

The overall accuracy of detecting the prone position was 96.8%. There were no cases of a supine or prone position being mistaken for each other.

Researchers are refining the algorithm to improve the accuracy for detecting the prone position and expect to have a completely functional prototype within a few years.

 

Big Step Forward

Commenting on the research, Daniel M. Goldenholz, MD, PhD, assistant professor, Division of Epilepsy, Harvard Beth Israel Deaconess Medical Center, Boston, said the study “is a big step forward in the race to provide an actionable tool to prevent SUDEP.”

The technology “appears to mostly be doing what it’s intended to do, with relatively minor technical errors being made,” he said.

However, it is not clear if this technology can truly save lives, said Goldenholz. “The data we have suggests that lying face down in bed after a seizure is correlated with SUDEP, but that does not mean that if we can simply flip people over, they for sure won’t die.”

Even if the new technology “works perfectly,” it’s still an open question, said Goldenholz. If it does save lives, “this will be a major breakthrough, and one that has been needed for a long time.”

However, even if it does not, he congratulates the team for trying to determine if reducing the prone position can help prevent SUDEP. He would like to see more “high-risk, high-reward” studies in the epilepsy field. “We are in so much need of new innovations.”

He said he was “personally very inspired” by this work. “People are dying from this terrible disease, and this team is building what they hope might save lives.”

The study was funded by the National Institutes of Health. The mattress is being developed by Soterya. Lee reported no equity in Soterya. Goldenholz reported no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

A mattress designed to detect seizures in individuals with epilepsy who are lying face down and quickly reposition them onto their side could significantly reduce the risk for sudden unexpected death in epilepsy (SUDEP), says one of the experts involved in its development.

When used along with a seizure detection device, Jong Woo Lee, MD, PhD, associate professor of neurology, Harvard Medical School, and Brigham and Women’s Hospital, both in Boston, Massachusetts, estimates the smart mattress could cut SUDEP by more than 50%.

In addition, early results from an observational study are backing this up, he said.

The findings were presented at the American Epilepsy Society (AES) 78th Annual Meeting 2024.

 

Most SUDEP Cases Found Face Down

SUDEP is the leading cause of death in children with epilepsy and in otherwise healthy adult patients with epilepsy. When his fifth patient died of SUDEP, Lee decided it was time to try to tackle the high mortality rate associated with these unexpected deaths. “I desperately wanted to help, ” he said.

About 70% of SUDEP occurs during sleep, and victims are found face down, or in the prone position, 90% of the time, said Lee.

“Of course, the best way to prevent SUDEP is not to have a seizure, but once you have a seizure and once you’re face down, your risk for death goes up by somewhere between 30 and 100 times,” he explained.

Lee was convinced SUDEP could be prevented by simple interventions that stimulate the patient and turn them over. He noted the incidence of sudden infant death syndrome, “which has similar characteristics” to SUDEP, has been reduced by up to 75% through campaigns that simply advise placing babies on their backs.

“Most of SUDEP happens because your arousal system is knocked out and you just don’t take the breath that you’re supposed to. Just the act of turning people over and vibrating the bed will stimulate them,” he said.

However, it’s crucial that this be done quickly, said Lee. “When you look at patients who died on video and see the EEGs, everybody took their last breath within 3 minutes.”

Because the window of opportunity is so short, “we think that seizure detection devices alone are not going to really be effective because you just can’t get there or react within those 3 minutes.”

There are currently no products that detect the prone position or have the ability to reposition a patient quickly into the recovery sideways position.

Lee and his colleagues developed a smart system that can be embedded in a mattress that detects when someone is having a seizure, determines if that person is face down, and if so, safely stimulates and repositions them.

The mattress is made up of a series of programmable inflatable blocks or “cells” that have pressure, vibration, temperature, and humidity sensors embedded within. “Based on the pressure readings, we can figure out whether the patient is right side up, on their right side, on their left side, or face down,” said Lee.

If the person is face down, he or she can be repositioned within a matter of seconds. “Each of the cells can lift 1000 pounds,” he said. The mattress is “very comfortable,” said Lee, who has tried it out himself.

Eighteen normative control participants have been enrolled for development and training purposes. To date, 10 of these individuals, aged 18-53 years, weighing 100-182 lb, and with a height of 5 ft 2 in to 6 ft 1 in, underwent extensive formal testing on the prototype bed.

Researchers found the mattress responded quickly to different body positions and weights. “We were able to reposition everybody in around 20 seconds,” said Lee.

The overall accuracy of detecting the prone position was 96.8%. There were no cases of a supine or prone position being mistaken for each other.

Researchers are refining the algorithm to improve the accuracy for detecting the prone position and expect to have a completely functional prototype within a few years.

 

Big Step Forward

Commenting on the research, Daniel M. Goldenholz, MD, PhD, assistant professor, Division of Epilepsy, Harvard Beth Israel Deaconess Medical Center, Boston, said the study “is a big step forward in the race to provide an actionable tool to prevent SUDEP.”

The technology “appears to mostly be doing what it’s intended to do, with relatively minor technical errors being made,” he said.

However, it is not clear if this technology can truly save lives, said Goldenholz. “The data we have suggests that lying face down in bed after a seizure is correlated with SUDEP, but that does not mean that if we can simply flip people over, they for sure won’t die.”

Even if the new technology “works perfectly,” it’s still an open question, said Goldenholz. If it does save lives, “this will be a major breakthrough, and one that has been needed for a long time.”

However, even if it does not, he congratulates the team for trying to determine if reducing the prone position can help prevent SUDEP. He would like to see more “high-risk, high-reward” studies in the epilepsy field. “We are in so much need of new innovations.”

He said he was “personally very inspired” by this work. “People are dying from this terrible disease, and this team is building what they hope might save lives.”

The study was funded by the National Institutes of Health. The mattress is being developed by Soterya. Lee reported no equity in Soterya. Goldenholz reported no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

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Sleep Apnea Linked to Heightened Mortality in Epilepsy

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Individuals with both uncontrolled epilepsy and sleep apnea are at significantly higher risk for mortality than those with epilepsy alone, according to a new analysis of over 2 million patient-years drawn from the Komodo Health Claims Database.

“A 10-year-old with uncontrolled epilepsy and central sleep apnea is about 200 times more likely to die than a general population 10-year-old. That’s comparable to a 10-year-old with {epilepsy and} congestive heart failure. Noncentral sleep apnea is comparable to being paralyzed. It’s a huge risk factor,” said poster presenter Dan Lloyd, advanced analytics lead at UCB, which sponsored the research.

The ordering of sleep apnea tests for patients with epilepsy is widely variable, according to Stefanie Dedeurwaerdere, PhD, who is the innovation and value creation lead at UCB. “Some doctors do that as a general practice, and some don’t. There’s no coherency in the way these studies are requested for epilepsy patients. We want to create some awareness around this topic,” she said, and added that treatment of sleep apnea may improve epileptic seizures.

The findings were presented at the American Epilepsy Society (AES) 78th Annual Meeting 2024.

The study included mortality rates between January 2018 and December 2022, with a total of 2,355,410 patient-years and 968,993 patients, with an age distribution of 19.1% age 1 to less than 18 years, 23.7% age 18-35 years, and 57.2% age 36 years or older. Sleep apnea prevalences were 0.7% for central sleep apnea (CSA), 14.0% for obstructive sleep apnea (OSA), and 85.3% with no sleep apnea.

Among those aged 1-18 years, the standardized mortality ratio (SMR) for those with uncontrolled epilepsy was 27.7. For those with comorbid OSA, the SMR was 74.2, and for comorbid CSA, the SMR was 135.9. The association was less pronounced in older groups, dipping to 7.0, 11.3, and 19.5 in those aged 18-35 years, and 3.3, 3.1, and 2.8 among those aged 36 years or older.

Among the 1-18 age group, SMRs for other comorbidities included 132.3 for heart failure, 74.9 for hemiplegia/paraplegia, 55.3 for cerebrovascular disease, and 44.6 for chronic pulmonary disease.

Asked for comment, Gordon Buchanan, MD, PhD, welcomed the new work. “The results did not surprise me. I study sleep, epilepsy, and [sudden unexplained death in epilepsy (SUDEP)] in particular ... and every time I speak on these topics, someone asks me about risk of SUDEP in patients with sleep apnea. It’s great to finally have some data,” said Buchanan, a professor of neurology at the University of Iowa, Iowa City.

The authors found that patients undergoing continuous positive airway pressure (CPAP)/bi-level positive airway pressure therapy had a higher mortality risk than those not undergoing CPAP therapy but cautioned that uncontrolled confounders may be contributing to the effect.

Buchanan wondered if treatment with CPAP would be associated with a decreased mortality risk. “I think that would be interesting, but I know that, especially in children, it can be difficult to get them to remain compliant with CPAP. I think that would be interesting to know, if pushing harder to get the kids to comply with CPAP would reduce mortality,” he said.

The specific finding of heightened mortality associated with CSA is interesting, according to Buchanan. “We think of seizures propagating through the brain, maybe through direct synaptic connections or through spreading depolarization. So I think it would make sense that it would hit central regions that would then lead to sleep apnea.” 

The relationship between OSA and epilepsy is likely complex. Epilepsy medications and special diets may influence body composition, which could in turn affect the risk for OSA, as could medications associated with psychiatric comorbidities, according to Buchanan.

The study is retrospective and based on claims data. It does not prove causation, and claims data do not fully capture mortality, which may lead to conservative SMR estimates. The researchers did not control for socioeconomic status, treatment status, and other comorbidities or conditions.

Lloyd and Dedeurwaerdere are employees of UCB, which sponsored the study. Buchanan had no relevant financial disclosures.

A version of this article appeared on Medscape.com.

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Individuals with both uncontrolled epilepsy and sleep apnea are at significantly higher risk for mortality than those with epilepsy alone, according to a new analysis of over 2 million patient-years drawn from the Komodo Health Claims Database.

“A 10-year-old with uncontrolled epilepsy and central sleep apnea is about 200 times more likely to die than a general population 10-year-old. That’s comparable to a 10-year-old with {epilepsy and} congestive heart failure. Noncentral sleep apnea is comparable to being paralyzed. It’s a huge risk factor,” said poster presenter Dan Lloyd, advanced analytics lead at UCB, which sponsored the research.

The ordering of sleep apnea tests for patients with epilepsy is widely variable, according to Stefanie Dedeurwaerdere, PhD, who is the innovation and value creation lead at UCB. “Some doctors do that as a general practice, and some don’t. There’s no coherency in the way these studies are requested for epilepsy patients. We want to create some awareness around this topic,” she said, and added that treatment of sleep apnea may improve epileptic seizures.

The findings were presented at the American Epilepsy Society (AES) 78th Annual Meeting 2024.

The study included mortality rates between January 2018 and December 2022, with a total of 2,355,410 patient-years and 968,993 patients, with an age distribution of 19.1% age 1 to less than 18 years, 23.7% age 18-35 years, and 57.2% age 36 years or older. Sleep apnea prevalences were 0.7% for central sleep apnea (CSA), 14.0% for obstructive sleep apnea (OSA), and 85.3% with no sleep apnea.

Among those aged 1-18 years, the standardized mortality ratio (SMR) for those with uncontrolled epilepsy was 27.7. For those with comorbid OSA, the SMR was 74.2, and for comorbid CSA, the SMR was 135.9. The association was less pronounced in older groups, dipping to 7.0, 11.3, and 19.5 in those aged 18-35 years, and 3.3, 3.1, and 2.8 among those aged 36 years or older.

Among the 1-18 age group, SMRs for other comorbidities included 132.3 for heart failure, 74.9 for hemiplegia/paraplegia, 55.3 for cerebrovascular disease, and 44.6 for chronic pulmonary disease.

Asked for comment, Gordon Buchanan, MD, PhD, welcomed the new work. “The results did not surprise me. I study sleep, epilepsy, and [sudden unexplained death in epilepsy (SUDEP)] in particular ... and every time I speak on these topics, someone asks me about risk of SUDEP in patients with sleep apnea. It’s great to finally have some data,” said Buchanan, a professor of neurology at the University of Iowa, Iowa City.

The authors found that patients undergoing continuous positive airway pressure (CPAP)/bi-level positive airway pressure therapy had a higher mortality risk than those not undergoing CPAP therapy but cautioned that uncontrolled confounders may be contributing to the effect.

Buchanan wondered if treatment with CPAP would be associated with a decreased mortality risk. “I think that would be interesting, but I know that, especially in children, it can be difficult to get them to remain compliant with CPAP. I think that would be interesting to know, if pushing harder to get the kids to comply with CPAP would reduce mortality,” he said.

The specific finding of heightened mortality associated with CSA is interesting, according to Buchanan. “We think of seizures propagating through the brain, maybe through direct synaptic connections or through spreading depolarization. So I think it would make sense that it would hit central regions that would then lead to sleep apnea.” 

The relationship between OSA and epilepsy is likely complex. Epilepsy medications and special diets may influence body composition, which could in turn affect the risk for OSA, as could medications associated with psychiatric comorbidities, according to Buchanan.

The study is retrospective and based on claims data. It does not prove causation, and claims data do not fully capture mortality, which may lead to conservative SMR estimates. The researchers did not control for socioeconomic status, treatment status, and other comorbidities or conditions.

Lloyd and Dedeurwaerdere are employees of UCB, which sponsored the study. Buchanan had no relevant financial disclosures.

A version of this article appeared on Medscape.com.

Individuals with both uncontrolled epilepsy and sleep apnea are at significantly higher risk for mortality than those with epilepsy alone, according to a new analysis of over 2 million patient-years drawn from the Komodo Health Claims Database.

“A 10-year-old with uncontrolled epilepsy and central sleep apnea is about 200 times more likely to die than a general population 10-year-old. That’s comparable to a 10-year-old with {epilepsy and} congestive heart failure. Noncentral sleep apnea is comparable to being paralyzed. It’s a huge risk factor,” said poster presenter Dan Lloyd, advanced analytics lead at UCB, which sponsored the research.

The ordering of sleep apnea tests for patients with epilepsy is widely variable, according to Stefanie Dedeurwaerdere, PhD, who is the innovation and value creation lead at UCB. “Some doctors do that as a general practice, and some don’t. There’s no coherency in the way these studies are requested for epilepsy patients. We want to create some awareness around this topic,” she said, and added that treatment of sleep apnea may improve epileptic seizures.

The findings were presented at the American Epilepsy Society (AES) 78th Annual Meeting 2024.

The study included mortality rates between January 2018 and December 2022, with a total of 2,355,410 patient-years and 968,993 patients, with an age distribution of 19.1% age 1 to less than 18 years, 23.7% age 18-35 years, and 57.2% age 36 years or older. Sleep apnea prevalences were 0.7% for central sleep apnea (CSA), 14.0% for obstructive sleep apnea (OSA), and 85.3% with no sleep apnea.

Among those aged 1-18 years, the standardized mortality ratio (SMR) for those with uncontrolled epilepsy was 27.7. For those with comorbid OSA, the SMR was 74.2, and for comorbid CSA, the SMR was 135.9. The association was less pronounced in older groups, dipping to 7.0, 11.3, and 19.5 in those aged 18-35 years, and 3.3, 3.1, and 2.8 among those aged 36 years or older.

Among the 1-18 age group, SMRs for other comorbidities included 132.3 for heart failure, 74.9 for hemiplegia/paraplegia, 55.3 for cerebrovascular disease, and 44.6 for chronic pulmonary disease.

Asked for comment, Gordon Buchanan, MD, PhD, welcomed the new work. “The results did not surprise me. I study sleep, epilepsy, and [sudden unexplained death in epilepsy (SUDEP)] in particular ... and every time I speak on these topics, someone asks me about risk of SUDEP in patients with sleep apnea. It’s great to finally have some data,” said Buchanan, a professor of neurology at the University of Iowa, Iowa City.

The authors found that patients undergoing continuous positive airway pressure (CPAP)/bi-level positive airway pressure therapy had a higher mortality risk than those not undergoing CPAP therapy but cautioned that uncontrolled confounders may be contributing to the effect.

Buchanan wondered if treatment with CPAP would be associated with a decreased mortality risk. “I think that would be interesting, but I know that, especially in children, it can be difficult to get them to remain compliant with CPAP. I think that would be interesting to know, if pushing harder to get the kids to comply with CPAP would reduce mortality,” he said.

The specific finding of heightened mortality associated with CSA is interesting, according to Buchanan. “We think of seizures propagating through the brain, maybe through direct synaptic connections or through spreading depolarization. So I think it would make sense that it would hit central regions that would then lead to sleep apnea.” 

The relationship between OSA and epilepsy is likely complex. Epilepsy medications and special diets may influence body composition, which could in turn affect the risk for OSA, as could medications associated with psychiatric comorbidities, according to Buchanan.

The study is retrospective and based on claims data. It does not prove causation, and claims data do not fully capture mortality, which may lead to conservative SMR estimates. The researchers did not control for socioeconomic status, treatment status, and other comorbidities or conditions.

Lloyd and Dedeurwaerdere are employees of UCB, which sponsored the study. Buchanan had no relevant financial disclosures.

A version of this article appeared on Medscape.com.

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Noise and Artificial Light

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If you’ve ever taken a red-eye flight you have probably received a little packet of items the airline hopes will make your night flight more comfortable. If you had shelled out for “extra leg room” or “more comfort” seating, your little kit may have included some one-size-never-fits-all socks, a toothbrush large enough to brush one tooth at a time, and a miniature tube of toothpaste the GEICO gecko would laugh at. I have no personal knowledge what the folks in first class are getting, but I suspect it comes in a calf skin Gucci pouch. But, regardless of where you are sitting, at a minimum your night comfort kit will come with an eye mask and ear plugs. Unfortunately, these freebies are wasted on me because I already use a sleep mask every night and simply turn off my hearing aids to mute the noise. But I appreciate their effort.

Light and sound are well-known sleep disruptors. Temperature gets less attention, but is nonetheless a potent contributor to a poor night’s sleep in my experience. Just by chance while I was recovering from my most recent jet lag, I encountered two papers from investigators who were curious about the association between healthy sleep and ambient light and noise.

 

Dr. William G. Wilkoff

 

The first paper looked at the relationship between artificial light at night (ALAN) and the incidence of insomnia. Looking at more than 300 Chinese cities, the investigators measured ALAN using satellite images and correlated the data with insomnia-related posts on social media. The researchers found when ALAN increased insomnia, related posts also increased. Not surprisingly, this relationship was greater in less populated cities during extreme temperatures and when air quality was poor. 

The second paper came from University of Texas at Houston. Using Fitbit data from more than 3000 adolescents, the researchers looked for correlations between blood pressure, sleep health, and “median nighttime anthropogenic noise levels by ZIP code.” Turns out the Federal Highway Administration has a readily available map of these noise levels. 

What the investigators found was that adequate sleep significantly reduces the risk of hypertension in adolescents. Not an unexpected finding to an ex-pediatrician like myself who is obsessed with the importance of sleep deprivation. However, the investigators and I were surprised that they had found no association between neighborhood noise alone or in combination with sleep health. I still suspect there is an association lurking there in the weeds of their data, but obviously it is not robust enough to float to the surface. It may be that in an acute situation noise can contribute to hypertension, but over time individuals adjust to the new sound level and their blood pressure settles down. Sleep is such a critical factor that it is not something our cardiovascular system can adapt to so easily. For various reasons most of us may already be functioning at the margins of sleep deprivation.

How then do we respond to observations by these two research teams? Do we take an approach similar to that the airlines have taken and prescribe, hand out, or sell ear plugs and sleep masks to every patient, or at least those with hypertension? This is what we could call the put-the-onus-on-the-patient approach, which seems to be the default when we lack the political will to take a bolder step.

The other path we could call the socio-environmental approach. The airlines have made a passing attempt at this by turning the cabin lights down on red-eye flights. I recently wrote about the “exposome,” which some investigators define as the total non-genetic exposures an individual endures during a lifetime and which in many situations has a negative effect on the individual’s health. These two papers clearly demonstrate that noise and nighttime artificial light are potent features of an uncountable number of individuals’ exposomes.

Noise and artificial light are both things that as a society we have the power to control if we could only muster up the political will to do so. Unfortunately, it is going to require something far beyond these two relatively obscure studies to move the needle in the direction of a healthier population. It’s is not a stretch to put obesity and the attention deficit phenomenon under this same umbrella where our society needs to look at itself for the answers.

 

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com

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If you’ve ever taken a red-eye flight you have probably received a little packet of items the airline hopes will make your night flight more comfortable. If you had shelled out for “extra leg room” or “more comfort” seating, your little kit may have included some one-size-never-fits-all socks, a toothbrush large enough to brush one tooth at a time, and a miniature tube of toothpaste the GEICO gecko would laugh at. I have no personal knowledge what the folks in first class are getting, but I suspect it comes in a calf skin Gucci pouch. But, regardless of where you are sitting, at a minimum your night comfort kit will come with an eye mask and ear plugs. Unfortunately, these freebies are wasted on me because I already use a sleep mask every night and simply turn off my hearing aids to mute the noise. But I appreciate their effort.

Light and sound are well-known sleep disruptors. Temperature gets less attention, but is nonetheless a potent contributor to a poor night’s sleep in my experience. Just by chance while I was recovering from my most recent jet lag, I encountered two papers from investigators who were curious about the association between healthy sleep and ambient light and noise.

 

Dr. William G. Wilkoff

 

The first paper looked at the relationship between artificial light at night (ALAN) and the incidence of insomnia. Looking at more than 300 Chinese cities, the investigators measured ALAN using satellite images and correlated the data with insomnia-related posts on social media. The researchers found when ALAN increased insomnia, related posts also increased. Not surprisingly, this relationship was greater in less populated cities during extreme temperatures and when air quality was poor. 

The second paper came from University of Texas at Houston. Using Fitbit data from more than 3000 adolescents, the researchers looked for correlations between blood pressure, sleep health, and “median nighttime anthropogenic noise levels by ZIP code.” Turns out the Federal Highway Administration has a readily available map of these noise levels. 

What the investigators found was that adequate sleep significantly reduces the risk of hypertension in adolescents. Not an unexpected finding to an ex-pediatrician like myself who is obsessed with the importance of sleep deprivation. However, the investigators and I were surprised that they had found no association between neighborhood noise alone or in combination with sleep health. I still suspect there is an association lurking there in the weeds of their data, but obviously it is not robust enough to float to the surface. It may be that in an acute situation noise can contribute to hypertension, but over time individuals adjust to the new sound level and their blood pressure settles down. Sleep is such a critical factor that it is not something our cardiovascular system can adapt to so easily. For various reasons most of us may already be functioning at the margins of sleep deprivation.

How then do we respond to observations by these two research teams? Do we take an approach similar to that the airlines have taken and prescribe, hand out, or sell ear plugs and sleep masks to every patient, or at least those with hypertension? This is what we could call the put-the-onus-on-the-patient approach, which seems to be the default when we lack the political will to take a bolder step.

The other path we could call the socio-environmental approach. The airlines have made a passing attempt at this by turning the cabin lights down on red-eye flights. I recently wrote about the “exposome,” which some investigators define as the total non-genetic exposures an individual endures during a lifetime and which in many situations has a negative effect on the individual’s health. These two papers clearly demonstrate that noise and nighttime artificial light are potent features of an uncountable number of individuals’ exposomes.

Noise and artificial light are both things that as a society we have the power to control if we could only muster up the political will to do so. Unfortunately, it is going to require something far beyond these two relatively obscure studies to move the needle in the direction of a healthier population. It’s is not a stretch to put obesity and the attention deficit phenomenon under this same umbrella where our society needs to look at itself for the answers.

 

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com

If you’ve ever taken a red-eye flight you have probably received a little packet of items the airline hopes will make your night flight more comfortable. If you had shelled out for “extra leg room” or “more comfort” seating, your little kit may have included some one-size-never-fits-all socks, a toothbrush large enough to brush one tooth at a time, and a miniature tube of toothpaste the GEICO gecko would laugh at. I have no personal knowledge what the folks in first class are getting, but I suspect it comes in a calf skin Gucci pouch. But, regardless of where you are sitting, at a minimum your night comfort kit will come with an eye mask and ear plugs. Unfortunately, these freebies are wasted on me because I already use a sleep mask every night and simply turn off my hearing aids to mute the noise. But I appreciate their effort.

Light and sound are well-known sleep disruptors. Temperature gets less attention, but is nonetheless a potent contributor to a poor night’s sleep in my experience. Just by chance while I was recovering from my most recent jet lag, I encountered two papers from investigators who were curious about the association between healthy sleep and ambient light and noise.

 

Dr. William G. Wilkoff

 

The first paper looked at the relationship between artificial light at night (ALAN) and the incidence of insomnia. Looking at more than 300 Chinese cities, the investigators measured ALAN using satellite images and correlated the data with insomnia-related posts on social media. The researchers found when ALAN increased insomnia, related posts also increased. Not surprisingly, this relationship was greater in less populated cities during extreme temperatures and when air quality was poor. 

The second paper came from University of Texas at Houston. Using Fitbit data from more than 3000 adolescents, the researchers looked for correlations between blood pressure, sleep health, and “median nighttime anthropogenic noise levels by ZIP code.” Turns out the Federal Highway Administration has a readily available map of these noise levels. 

What the investigators found was that adequate sleep significantly reduces the risk of hypertension in adolescents. Not an unexpected finding to an ex-pediatrician like myself who is obsessed with the importance of sleep deprivation. However, the investigators and I were surprised that they had found no association between neighborhood noise alone or in combination with sleep health. I still suspect there is an association lurking there in the weeds of their data, but obviously it is not robust enough to float to the surface. It may be that in an acute situation noise can contribute to hypertension, but over time individuals adjust to the new sound level and their blood pressure settles down. Sleep is such a critical factor that it is not something our cardiovascular system can adapt to so easily. For various reasons most of us may already be functioning at the margins of sleep deprivation.

How then do we respond to observations by these two research teams? Do we take an approach similar to that the airlines have taken and prescribe, hand out, or sell ear plugs and sleep masks to every patient, or at least those with hypertension? This is what we could call the put-the-onus-on-the-patient approach, which seems to be the default when we lack the political will to take a bolder step.

The other path we could call the socio-environmental approach. The airlines have made a passing attempt at this by turning the cabin lights down on red-eye flights. I recently wrote about the “exposome,” which some investigators define as the total non-genetic exposures an individual endures during a lifetime and which in many situations has a negative effect on the individual’s health. These two papers clearly demonstrate that noise and nighttime artificial light are potent features of an uncountable number of individuals’ exposomes.

Noise and artificial light are both things that as a society we have the power to control if we could only muster up the political will to do so. Unfortunately, it is going to require something far beyond these two relatively obscure studies to move the needle in the direction of a healthier population. It’s is not a stretch to put obesity and the attention deficit phenomenon under this same umbrella where our society needs to look at itself for the answers.

 

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com

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The Cause of All That Stress: Tonsillectomy?

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This transcript has been edited for clarity. 

You know those times in your life when you’re just feeling ... stressed? You’re on the edge; you have no chill; everything just sort of gets to you. If you can step away from the anxiety for a moment, you might ask yourself where it’s all coming from. Is it really the stuff in your inbox at work or is it money issues at home? Is it something with your relationship, or maybe it’s your sleep quality or your diet? One thing you probably won’t blame for those acute stress reactions is the tonsillectomy you had as a kid. But according to new research, maybe you should.

Tonsillectomy and adenoidectomy are among the most common surgical procedures young people in the United States undergo, with about 300,000 cases a year, according to recent numbers. That’s down a bit from numbers a decade or so ago, but suffice it to say, a good chunk of the population is walking around right now without their tonsils. 

The data supporting tonsillectomy have never been great. The two big indications for the surgery are recurrent sore throat — data show that tonsillectomy reduces this by about 0.7 sore throats per year— and obstructive sleep apnea (OSA). The data for improvement of OSA are a bit better than the data for sore throats. 

Also, tonsillectomy is a relatively quick, relatively well-reimbursed surgery with indications that are — let’s be honest — somewhat subjective, and so variation is high. One study found that in a single Vermont town, nearly 60% of the population had had their tonsils removed by the time they turned 18. A few towns over, the rate was 20%. 

A few factors have led to the decline of tonsillectomy in recent years. Reimbursement rates have gone down a bit. Additionally, better data collection and statistical analysis have shown that the benefits of the procedure are relatively modest. 

And then there is a body of medical literature that at first struck me as surprising and almost bizarre: data linking tonsillectomy to subsequent physical and psychiatric disorders. 

I teach a course on interpretation of the medical literature, and one of the first things I teach my students is to check their gut when they see the conclusion of a study. 

Basically, even before you read the data, have a sense in your own mind if the hypothesis seems reasonable. If a paper is going to conclude that smoking leads to increased risk for bone cancer, I’d say that seems like a reasonable thing to study. If a paper purports to show a link between eating poultry and bone cancer, I’m going to be reading it with quite a bit more skepticism. 

The technical term for that process is assessing “biologic plausibility.” If we’re talking tonsils, we have to ask ourselves: Is it plausible that removing someone’s tonsils when they are young should lead to major problems in the future? 

At first blush, it didn’t seem very plausible to me. 

But the truth is, there are quite a few studies out there demonstrating links like this: links between tonsillectomy and irritable bowel syndrome; links between tonsillectomy and cancer; links between tonsillectomy and depression

And this week, appearing in JAMA Network Open, is a study linking tonsillectomy with stress disorders. 

Researchers leveraged Sweden’s health database, which contains longitudinal data on basically every person who has lived in Sweden since 1981. This database let them know who had a tonsillectomy or adenoidectomy, and when, and what happened to them later in life. 

I think the best way to present these data is to show you what they found, and then challenge that finding, and then show you what they did in anticipation of the challenges we would have to their findings. It’s a pretty thorough study. 

So, topline results here. The researchers first identified 83,957 individuals who had their tonsils removed. They matched each of them with 10 controls who did not have their tonsils removed but were the same age and sex. 

Over around 30 years of follow-up, those people who had their tonsils removed were 43% more likely to develop a stress-related disorder. Among the specific disorders, the risk for PTSD was substantially higher: 55% higher in the tonsillectomy group.

 



That’s pretty surprising, but I bet you already want to push back against this. Sure, the control group was the same age and sex, but other factors might be different between the two groups. You’d be right to think so. People who got their tonsils out were more likely to have parents with a history of stress-related disorders and who had lower educational attainment. But the primary results were adjusted for those factors. 

There’s more to a family than parental educational attainment, of course. To account for household factors that might be harder to measure, the researchers created a second control group, this one comprising the siblings of people who had their tonsils removed but who hadn’t themselves had their tonsils removed. 

The relationship between tonsillectomy and stress disorders in this population was not quite as robust but still present: a 34% increase in any stress disorder and a 41% increase in the risk for PTSD.

 



Maybe kids who get their tonsils out are just followed more closely thereafter, so doctors might notice a stress disorder and document it in the medical record; whereas with other kids it might go unnoticed. This is known as ascertainment bias. The researchers addressed this in a sensitivity analysis where they excluded new diagnoses of stress disorders that occurred in the first 3 years after tonsillectomy. The results were largely unchanged. 

So how do we explain these data? We observe a correlation between tonsillectomy in youth and stress disorders in later life. But correlation is not causation. One possibility, perhaps even the most likely possibility, is that tonsillectomy is a marker of some other problem. Maybe these kids are more prone to infections and are therefore more likely to need their tonsils removed. Then, after a lifetime of more infections than average, their stress responses are higher. Or maybe kids with a higher BMI are more likely to have their tonsils removed due to sleep apnea concerns, and it’s that elevated BMI that leads to higher stress in later life. 

Or maybe this is causal. Maybe there actually is biological plausibility here. The authors suggest that removal of tonsils might lead to broader changes in the immune system; after all, tonsillar tissue is on the front line of our defense against pathogens that might enter our bodies through our mouths or noses. Immunologic changes lead to greater inflammation over time, and there is decent evidence to link chronic inflammation to a variety of physical and psychological disorders. 

In support of this, the authors show that the kids with tonsillectomy were more likely to be hospitalized for an infectious disease in the future as well, in magnitudes similar to the increased risk for stress. But they don’t actually show that the relationship between tonsillectomy and stress is mediated by that increased risk for infectious disease. 

In the end, I find these data really intriguing. Before I dug into the literature, it seemed highly unlikely that removal of these small lumps of tissue would have much of an effect on anything. Now I’m not so sure. A few things can be removed from the human body without any consequences, but it can be hard to know exactly what those consequences are. 

That said, given the rather marginal benefits of tonsillectomy and the growing number of studies expanding on the risks, I expect that we’ll see the rates of the surgery decline even further in the future.

F. Perry Wilson, MD, MSCE, is an associate professor of medicine and public health and director of Yale’s Clinical and Translational Research Accelerator in New Haven, Connecticut. He reported no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.

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This transcript has been edited for clarity. 

You know those times in your life when you’re just feeling ... stressed? You’re on the edge; you have no chill; everything just sort of gets to you. If you can step away from the anxiety for a moment, you might ask yourself where it’s all coming from. Is it really the stuff in your inbox at work or is it money issues at home? Is it something with your relationship, or maybe it’s your sleep quality or your diet? One thing you probably won’t blame for those acute stress reactions is the tonsillectomy you had as a kid. But according to new research, maybe you should.

Tonsillectomy and adenoidectomy are among the most common surgical procedures young people in the United States undergo, with about 300,000 cases a year, according to recent numbers. That’s down a bit from numbers a decade or so ago, but suffice it to say, a good chunk of the population is walking around right now without their tonsils. 

The data supporting tonsillectomy have never been great. The two big indications for the surgery are recurrent sore throat — data show that tonsillectomy reduces this by about 0.7 sore throats per year— and obstructive sleep apnea (OSA). The data for improvement of OSA are a bit better than the data for sore throats. 

Also, tonsillectomy is a relatively quick, relatively well-reimbursed surgery with indications that are — let’s be honest — somewhat subjective, and so variation is high. One study found that in a single Vermont town, nearly 60% of the population had had their tonsils removed by the time they turned 18. A few towns over, the rate was 20%. 

A few factors have led to the decline of tonsillectomy in recent years. Reimbursement rates have gone down a bit. Additionally, better data collection and statistical analysis have shown that the benefits of the procedure are relatively modest. 

And then there is a body of medical literature that at first struck me as surprising and almost bizarre: data linking tonsillectomy to subsequent physical and psychiatric disorders. 

I teach a course on interpretation of the medical literature, and one of the first things I teach my students is to check their gut when they see the conclusion of a study. 

Basically, even before you read the data, have a sense in your own mind if the hypothesis seems reasonable. If a paper is going to conclude that smoking leads to increased risk for bone cancer, I’d say that seems like a reasonable thing to study. If a paper purports to show a link between eating poultry and bone cancer, I’m going to be reading it with quite a bit more skepticism. 

The technical term for that process is assessing “biologic plausibility.” If we’re talking tonsils, we have to ask ourselves: Is it plausible that removing someone’s tonsils when they are young should lead to major problems in the future? 

At first blush, it didn’t seem very plausible to me. 

But the truth is, there are quite a few studies out there demonstrating links like this: links between tonsillectomy and irritable bowel syndrome; links between tonsillectomy and cancer; links between tonsillectomy and depression

And this week, appearing in JAMA Network Open, is a study linking tonsillectomy with stress disorders. 

Researchers leveraged Sweden’s health database, which contains longitudinal data on basically every person who has lived in Sweden since 1981. This database let them know who had a tonsillectomy or adenoidectomy, and when, and what happened to them later in life. 

I think the best way to present these data is to show you what they found, and then challenge that finding, and then show you what they did in anticipation of the challenges we would have to their findings. It’s a pretty thorough study. 

So, topline results here. The researchers first identified 83,957 individuals who had their tonsils removed. They matched each of them with 10 controls who did not have their tonsils removed but were the same age and sex. 

Over around 30 years of follow-up, those people who had their tonsils removed were 43% more likely to develop a stress-related disorder. Among the specific disorders, the risk for PTSD was substantially higher: 55% higher in the tonsillectomy group.

 



That’s pretty surprising, but I bet you already want to push back against this. Sure, the control group was the same age and sex, but other factors might be different between the two groups. You’d be right to think so. People who got their tonsils out were more likely to have parents with a history of stress-related disorders and who had lower educational attainment. But the primary results were adjusted for those factors. 

There’s more to a family than parental educational attainment, of course. To account for household factors that might be harder to measure, the researchers created a second control group, this one comprising the siblings of people who had their tonsils removed but who hadn’t themselves had their tonsils removed. 

The relationship between tonsillectomy and stress disorders in this population was not quite as robust but still present: a 34% increase in any stress disorder and a 41% increase in the risk for PTSD.

 



Maybe kids who get their tonsils out are just followed more closely thereafter, so doctors might notice a stress disorder and document it in the medical record; whereas with other kids it might go unnoticed. This is known as ascertainment bias. The researchers addressed this in a sensitivity analysis where they excluded new diagnoses of stress disorders that occurred in the first 3 years after tonsillectomy. The results were largely unchanged. 

So how do we explain these data? We observe a correlation between tonsillectomy in youth and stress disorders in later life. But correlation is not causation. One possibility, perhaps even the most likely possibility, is that tonsillectomy is a marker of some other problem. Maybe these kids are more prone to infections and are therefore more likely to need their tonsils removed. Then, after a lifetime of more infections than average, their stress responses are higher. Or maybe kids with a higher BMI are more likely to have their tonsils removed due to sleep apnea concerns, and it’s that elevated BMI that leads to higher stress in later life. 

Or maybe this is causal. Maybe there actually is biological plausibility here. The authors suggest that removal of tonsils might lead to broader changes in the immune system; after all, tonsillar tissue is on the front line of our defense against pathogens that might enter our bodies through our mouths or noses. Immunologic changes lead to greater inflammation over time, and there is decent evidence to link chronic inflammation to a variety of physical and psychological disorders. 

In support of this, the authors show that the kids with tonsillectomy were more likely to be hospitalized for an infectious disease in the future as well, in magnitudes similar to the increased risk for stress. But they don’t actually show that the relationship between tonsillectomy and stress is mediated by that increased risk for infectious disease. 

In the end, I find these data really intriguing. Before I dug into the literature, it seemed highly unlikely that removal of these small lumps of tissue would have much of an effect on anything. Now I’m not so sure. A few things can be removed from the human body without any consequences, but it can be hard to know exactly what those consequences are. 

That said, given the rather marginal benefits of tonsillectomy and the growing number of studies expanding on the risks, I expect that we’ll see the rates of the surgery decline even further in the future.

F. Perry Wilson, MD, MSCE, is an associate professor of medicine and public health and director of Yale’s Clinical and Translational Research Accelerator in New Haven, Connecticut. He reported no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.

This transcript has been edited for clarity. 

You know those times in your life when you’re just feeling ... stressed? You’re on the edge; you have no chill; everything just sort of gets to you. If you can step away from the anxiety for a moment, you might ask yourself where it’s all coming from. Is it really the stuff in your inbox at work or is it money issues at home? Is it something with your relationship, or maybe it’s your sleep quality or your diet? One thing you probably won’t blame for those acute stress reactions is the tonsillectomy you had as a kid. But according to new research, maybe you should.

Tonsillectomy and adenoidectomy are among the most common surgical procedures young people in the United States undergo, with about 300,000 cases a year, according to recent numbers. That’s down a bit from numbers a decade or so ago, but suffice it to say, a good chunk of the population is walking around right now without their tonsils. 

The data supporting tonsillectomy have never been great. The two big indications for the surgery are recurrent sore throat — data show that tonsillectomy reduces this by about 0.7 sore throats per year— and obstructive sleep apnea (OSA). The data for improvement of OSA are a bit better than the data for sore throats. 

Also, tonsillectomy is a relatively quick, relatively well-reimbursed surgery with indications that are — let’s be honest — somewhat subjective, and so variation is high. One study found that in a single Vermont town, nearly 60% of the population had had their tonsils removed by the time they turned 18. A few towns over, the rate was 20%. 

A few factors have led to the decline of tonsillectomy in recent years. Reimbursement rates have gone down a bit. Additionally, better data collection and statistical analysis have shown that the benefits of the procedure are relatively modest. 

And then there is a body of medical literature that at first struck me as surprising and almost bizarre: data linking tonsillectomy to subsequent physical and psychiatric disorders. 

I teach a course on interpretation of the medical literature, and one of the first things I teach my students is to check their gut when they see the conclusion of a study. 

Basically, even before you read the data, have a sense in your own mind if the hypothesis seems reasonable. If a paper is going to conclude that smoking leads to increased risk for bone cancer, I’d say that seems like a reasonable thing to study. If a paper purports to show a link between eating poultry and bone cancer, I’m going to be reading it with quite a bit more skepticism. 

The technical term for that process is assessing “biologic plausibility.” If we’re talking tonsils, we have to ask ourselves: Is it plausible that removing someone’s tonsils when they are young should lead to major problems in the future? 

At first blush, it didn’t seem very plausible to me. 

But the truth is, there are quite a few studies out there demonstrating links like this: links between tonsillectomy and irritable bowel syndrome; links between tonsillectomy and cancer; links between tonsillectomy and depression

And this week, appearing in JAMA Network Open, is a study linking tonsillectomy with stress disorders. 

Researchers leveraged Sweden’s health database, which contains longitudinal data on basically every person who has lived in Sweden since 1981. This database let them know who had a tonsillectomy or adenoidectomy, and when, and what happened to them later in life. 

I think the best way to present these data is to show you what they found, and then challenge that finding, and then show you what they did in anticipation of the challenges we would have to their findings. It’s a pretty thorough study. 

So, topline results here. The researchers first identified 83,957 individuals who had their tonsils removed. They matched each of them with 10 controls who did not have their tonsils removed but were the same age and sex. 

Over around 30 years of follow-up, those people who had their tonsils removed were 43% more likely to develop a stress-related disorder. Among the specific disorders, the risk for PTSD was substantially higher: 55% higher in the tonsillectomy group.

 



That’s pretty surprising, but I bet you already want to push back against this. Sure, the control group was the same age and sex, but other factors might be different between the two groups. You’d be right to think so. People who got their tonsils out were more likely to have parents with a history of stress-related disorders and who had lower educational attainment. But the primary results were adjusted for those factors. 

There’s more to a family than parental educational attainment, of course. To account for household factors that might be harder to measure, the researchers created a second control group, this one comprising the siblings of people who had their tonsils removed but who hadn’t themselves had their tonsils removed. 

The relationship between tonsillectomy and stress disorders in this population was not quite as robust but still present: a 34% increase in any stress disorder and a 41% increase in the risk for PTSD.

 



Maybe kids who get their tonsils out are just followed more closely thereafter, so doctors might notice a stress disorder and document it in the medical record; whereas with other kids it might go unnoticed. This is known as ascertainment bias. The researchers addressed this in a sensitivity analysis where they excluded new diagnoses of stress disorders that occurred in the first 3 years after tonsillectomy. The results were largely unchanged. 

So how do we explain these data? We observe a correlation between tonsillectomy in youth and stress disorders in later life. But correlation is not causation. One possibility, perhaps even the most likely possibility, is that tonsillectomy is a marker of some other problem. Maybe these kids are more prone to infections and are therefore more likely to need their tonsils removed. Then, after a lifetime of more infections than average, their stress responses are higher. Or maybe kids with a higher BMI are more likely to have their tonsils removed due to sleep apnea concerns, and it’s that elevated BMI that leads to higher stress in later life. 

Or maybe this is causal. Maybe there actually is biological plausibility here. The authors suggest that removal of tonsils might lead to broader changes in the immune system; after all, tonsillar tissue is on the front line of our defense against pathogens that might enter our bodies through our mouths or noses. Immunologic changes lead to greater inflammation over time, and there is decent evidence to link chronic inflammation to a variety of physical and psychological disorders. 

In support of this, the authors show that the kids with tonsillectomy were more likely to be hospitalized for an infectious disease in the future as well, in magnitudes similar to the increased risk for stress. But they don’t actually show that the relationship between tonsillectomy and stress is mediated by that increased risk for infectious disease. 

In the end, I find these data really intriguing. Before I dug into the literature, it seemed highly unlikely that removal of these small lumps of tissue would have much of an effect on anything. Now I’m not so sure. A few things can be removed from the human body without any consequences, but it can be hard to know exactly what those consequences are. 

That said, given the rather marginal benefits of tonsillectomy and the growing number of studies expanding on the risks, I expect that we’ll see the rates of the surgery decline even further in the future.

F. Perry Wilson, MD, MSCE, is an associate professor of medicine and public health and director of Yale’s Clinical and Translational Research Accelerator in New Haven, Connecticut. He reported no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.

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More Biologics May Be Breaking Through for COPD

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New biologic drugs for chronic obstructive pulmonary disease (COPD) are finally here, said Stephen Rennard, MD, in a presentation in a session on new drugs at the 2024 GOLD International COPD Conference.

The inflammatory pathways associated with COPD are diverse and offer a range of potential targets for biologics, said Rennard, a professor of pulmonary, critical care, and sleep medicine at the University of Nebraska Medical Center, Omaha. 

The therapeutic goals of biologics remain the same as with other treatments for COPD, namely restoration of normal inflammatory response and alteration of disease progression, as well as restoration of lost structure and function and improvement of systemic effects, Rennard said in his presentation. Most studies of new and up-and-coming drugs have improvement in acute exacerbation of COPD as the primary outcome.

 

The Biology Behind the Biologics

T2 inflammation is “an inflammatory cascade led by IL [interleukin]-4, IL-13, and IL-5,” Mona Bafadhel, MD, chair of Respiratory Medicine at King’s College London in England, said in her presentation during the session.

Bafadhel, who served as one of the investigators on the BOREAS and NOTUS studies, explained some of the science behind the development of the new biologics.

Eosinophils are powerful regulators of immune response and inflammation by stimulating T-cell production and affecting other immune cell types, she noted.

In the context of COPD and drug development, high blood eosinophil counts have been associated with increased COPD-related exacerbations, Bafadhel said. She cited data from a Dutch study of more than 7000 patients with COPD (with and without clinical diagnoses), in which absolute eosinophil counts ≥ 3.3% were associated with increased risk for severe exacerbations of 32% and 84% across all patients with COPD and clinical COPD, respectively.

Understanding the mechanisms of the eosinophil in COPD is important for research and development, Bafadhel said. Along with standardizing measurement of T2 inflammatory markers (IL-4, IL-13, and IL-5), more research is needed to fully understand the role of eosinophils in immunoregulation and repair.

 

Fitting the Biologic to the Patient

Several recent studies of up-and-coming biologics have focused on subsets of COPD patients, said Dave Singh, MD, professor of clinical pharmacology and respiratory medicine at The University of Manchester in England, in his presentation at the meeting. In September 2024, the Food and Drug Administration approved dupilumab as the first biologic treatment for patients with uncontrolled COPD and type 2 inflammation on the basis of eosinophil counts. Singh cited data from the BOREAS and NOTUS studies in which dupilumab significantly reduced exacerbations and improved lung function in these patients, compared with a placebo.

Mepolizumab, a biologic approved for asthma, is not currently approved for COPD, but data from a 2017 study showed a trend toward reduced exacerbations, compared with placebo, in a subset of patients with high blood eosinophil counts, Singh said.

In addition, a recent unpublished phase 3 study (MATINEE) showed a reduction in the annualized rate of exacerbations, compared with placebo, on the basis of up to 2 years’ follow-up.

Singh also highlighted data from a phase 2a study of astegolimab, a biologic drug that focuses on the IL-33 receptor, in which COPD exacerbation rates were not significantly different between treatment and placebo groups. However, astegolimab has shown safety and efficacy in adults with severe asthma and is under development in phase 3 trials for COPD.

Tezepelumab, which was approved by the FDA in 2021 as an add-on therapy for severe asthma in patients aged 12 years or older, is also in development as a therapy for COPD exacerbations, Singh said.

In a study presented at the 2024 American Thoracic Society annual meeting, Singh and colleagues found that tezepelumab at a subcutaneous dose of 420 mg every 4 weeks reduced the annualized rate of moderate or severe COPD exacerbations compared with placebo based on data from approximately 300 patients, although the difference was not statistically significant.

Itepekimab, another biologic, showed promise in a phase 2a genetic association study involving current and former smokers with moderate to severe COPD, Singh said.

In that study, published in 2022 in The Lancet Respiratory Medicine, itepekimab failed to meet the primary endpoint in the overall study population of reduced annualized rate of moderate to severe exacerbations; however, a subgroup analysis of former smokers showed a significant (42%) reduction in exacerbations, Singh said in his presentation. Two phase 3 clinical studies (AERIFY-1/2) are ongoing to confirm the safety and efficacy of itepekimab in former smokers with COPD.

 

Takeaways and Next Steps

“These therapies provide the first new classes of medications approved for COPD in nearly 20 years,” said David M. Mannino, MD, of the University of Kentucky, Lexington, in an interview. “Dupilumab will be available to a subset of patients who are poorly controlled and have evidence of high eosinophils in their blood and is only used once every 2 weeks,” added Mannino, who has served as a consultant to companies developing COPD drugs.

Both dupilumab and ensifentrine, a phosphodiesterase (PDE) 3 and PDE4 inhibitor also recently approved for maintenance treatment of COPD, have been shown in clinical trials to reduce exacerbations and improve symptoms, said Mannino. Both offer additional options for patients who continue to have symptoms and exacerbations in spite of their current therapy.

Some barriers to the use of biologics in practice include the high cost. “Access and overcoming insurance-related issues such as preauthorization and high copays will be a challenge,” he said. Also, because dupilumab is an injectable drug, some patient training will be required.

Newer biologic therapies in development are also injectables, but some studies are examining longer time intervals as long as every 6 months, which could be a major advancement for some patients. The newer therapies in development are similar to dupilumab in that they will be injected therapies. Some in development are looking at longer time intervals as long as every 6 months, which may be a major advancement for some patients. “All of these therapies, however, are currently targeting more advanced or serious disease,” he said.

Looking ahead, more therapies are needed for the treatment of early COPD, as well as therapies that can be administered to a large number of patients at a reasonable cost, Mannino added.

Rennard disclosed serving as a consultant for Verona Pharma, Sanofi, Beyond Air, RS BioTherapeutics, RespirAI, and Roche, as well as speaker fees from Sanofi and temporary ownership interest while employed by AstraZeneca. Rennard is also the founder of Great Plains Biometrix. Bafadhel disclosed funding from the National Institute for Health Research (NIHR), grants from Asthma + Lung UK, Horizon Europe, NIHR, and AstraZeneca to her institution, and honoraria from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKline, Novartis, and Pfizer. Singh disclosed relationships including speaking sponsorships, honoraria, and advisory board memberships for Adovate, Aerogen, Almirall, Apogee, Arrowhead, AstraZeneca, Bial, Boehringer Ingelheim, Chiesi, Cipla, Connect Biopharm, Covis, CSL Behring, DevPro Biopharm, Elpen, Empirico, EpiEndo, Genentech, Generate Biomedicines, GlaxoSmithKline, Glenmark, Kamada, Kinaset Therapeutics, Kymera, Menarini, MicroA, OM Pharma, Orion, Pieris Pharmaceuticals, Pulmatrix, Revolo, Roivant Sciences, Sanofi, Synairgen, Tetherex, Teva, Theravance Biopharma, Upstream, and Verona Pharma. Mannino disclosed serving as a consultant to multiple companies currently developing COPD therapies (AstraZeneca, GlaxoSmithKline, Roche, Regeneron, Sanofi, Genentech, Amgen, and Chiesi).

A version of this article appeared on Medscape.com.

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New biologic drugs for chronic obstructive pulmonary disease (COPD) are finally here, said Stephen Rennard, MD, in a presentation in a session on new drugs at the 2024 GOLD International COPD Conference.

The inflammatory pathways associated with COPD are diverse and offer a range of potential targets for biologics, said Rennard, a professor of pulmonary, critical care, and sleep medicine at the University of Nebraska Medical Center, Omaha. 

The therapeutic goals of biologics remain the same as with other treatments for COPD, namely restoration of normal inflammatory response and alteration of disease progression, as well as restoration of lost structure and function and improvement of systemic effects, Rennard said in his presentation. Most studies of new and up-and-coming drugs have improvement in acute exacerbation of COPD as the primary outcome.

 

The Biology Behind the Biologics

T2 inflammation is “an inflammatory cascade led by IL [interleukin]-4, IL-13, and IL-5,” Mona Bafadhel, MD, chair of Respiratory Medicine at King’s College London in England, said in her presentation during the session.

Bafadhel, who served as one of the investigators on the BOREAS and NOTUS studies, explained some of the science behind the development of the new biologics.

Eosinophils are powerful regulators of immune response and inflammation by stimulating T-cell production and affecting other immune cell types, she noted.

In the context of COPD and drug development, high blood eosinophil counts have been associated with increased COPD-related exacerbations, Bafadhel said. She cited data from a Dutch study of more than 7000 patients with COPD (with and without clinical diagnoses), in which absolute eosinophil counts ≥ 3.3% were associated with increased risk for severe exacerbations of 32% and 84% across all patients with COPD and clinical COPD, respectively.

Understanding the mechanisms of the eosinophil in COPD is important for research and development, Bafadhel said. Along with standardizing measurement of T2 inflammatory markers (IL-4, IL-13, and IL-5), more research is needed to fully understand the role of eosinophils in immunoregulation and repair.

 

Fitting the Biologic to the Patient

Several recent studies of up-and-coming biologics have focused on subsets of COPD patients, said Dave Singh, MD, professor of clinical pharmacology and respiratory medicine at The University of Manchester in England, in his presentation at the meeting. In September 2024, the Food and Drug Administration approved dupilumab as the first biologic treatment for patients with uncontrolled COPD and type 2 inflammation on the basis of eosinophil counts. Singh cited data from the BOREAS and NOTUS studies in which dupilumab significantly reduced exacerbations and improved lung function in these patients, compared with a placebo.

Mepolizumab, a biologic approved for asthma, is not currently approved for COPD, but data from a 2017 study showed a trend toward reduced exacerbations, compared with placebo, in a subset of patients with high blood eosinophil counts, Singh said.

In addition, a recent unpublished phase 3 study (MATINEE) showed a reduction in the annualized rate of exacerbations, compared with placebo, on the basis of up to 2 years’ follow-up.

Singh also highlighted data from a phase 2a study of astegolimab, a biologic drug that focuses on the IL-33 receptor, in which COPD exacerbation rates were not significantly different between treatment and placebo groups. However, astegolimab has shown safety and efficacy in adults with severe asthma and is under development in phase 3 trials for COPD.

Tezepelumab, which was approved by the FDA in 2021 as an add-on therapy for severe asthma in patients aged 12 years or older, is also in development as a therapy for COPD exacerbations, Singh said.

In a study presented at the 2024 American Thoracic Society annual meeting, Singh and colleagues found that tezepelumab at a subcutaneous dose of 420 mg every 4 weeks reduced the annualized rate of moderate or severe COPD exacerbations compared with placebo based on data from approximately 300 patients, although the difference was not statistically significant.

Itepekimab, another biologic, showed promise in a phase 2a genetic association study involving current and former smokers with moderate to severe COPD, Singh said.

In that study, published in 2022 in The Lancet Respiratory Medicine, itepekimab failed to meet the primary endpoint in the overall study population of reduced annualized rate of moderate to severe exacerbations; however, a subgroup analysis of former smokers showed a significant (42%) reduction in exacerbations, Singh said in his presentation. Two phase 3 clinical studies (AERIFY-1/2) are ongoing to confirm the safety and efficacy of itepekimab in former smokers with COPD.

 

Takeaways and Next Steps

“These therapies provide the first new classes of medications approved for COPD in nearly 20 years,” said David M. Mannino, MD, of the University of Kentucky, Lexington, in an interview. “Dupilumab will be available to a subset of patients who are poorly controlled and have evidence of high eosinophils in their blood and is only used once every 2 weeks,” added Mannino, who has served as a consultant to companies developing COPD drugs.

Both dupilumab and ensifentrine, a phosphodiesterase (PDE) 3 and PDE4 inhibitor also recently approved for maintenance treatment of COPD, have been shown in clinical trials to reduce exacerbations and improve symptoms, said Mannino. Both offer additional options for patients who continue to have symptoms and exacerbations in spite of their current therapy.

Some barriers to the use of biologics in practice include the high cost. “Access and overcoming insurance-related issues such as preauthorization and high copays will be a challenge,” he said. Also, because dupilumab is an injectable drug, some patient training will be required.

Newer biologic therapies in development are also injectables, but some studies are examining longer time intervals as long as every 6 months, which could be a major advancement for some patients. The newer therapies in development are similar to dupilumab in that they will be injected therapies. Some in development are looking at longer time intervals as long as every 6 months, which may be a major advancement for some patients. “All of these therapies, however, are currently targeting more advanced or serious disease,” he said.

Looking ahead, more therapies are needed for the treatment of early COPD, as well as therapies that can be administered to a large number of patients at a reasonable cost, Mannino added.

Rennard disclosed serving as a consultant for Verona Pharma, Sanofi, Beyond Air, RS BioTherapeutics, RespirAI, and Roche, as well as speaker fees from Sanofi and temporary ownership interest while employed by AstraZeneca. Rennard is also the founder of Great Plains Biometrix. Bafadhel disclosed funding from the National Institute for Health Research (NIHR), grants from Asthma + Lung UK, Horizon Europe, NIHR, and AstraZeneca to her institution, and honoraria from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKline, Novartis, and Pfizer. Singh disclosed relationships including speaking sponsorships, honoraria, and advisory board memberships for Adovate, Aerogen, Almirall, Apogee, Arrowhead, AstraZeneca, Bial, Boehringer Ingelheim, Chiesi, Cipla, Connect Biopharm, Covis, CSL Behring, DevPro Biopharm, Elpen, Empirico, EpiEndo, Genentech, Generate Biomedicines, GlaxoSmithKline, Glenmark, Kamada, Kinaset Therapeutics, Kymera, Menarini, MicroA, OM Pharma, Orion, Pieris Pharmaceuticals, Pulmatrix, Revolo, Roivant Sciences, Sanofi, Synairgen, Tetherex, Teva, Theravance Biopharma, Upstream, and Verona Pharma. Mannino disclosed serving as a consultant to multiple companies currently developing COPD therapies (AstraZeneca, GlaxoSmithKline, Roche, Regeneron, Sanofi, Genentech, Amgen, and Chiesi).

A version of this article appeared on Medscape.com.

New biologic drugs for chronic obstructive pulmonary disease (COPD) are finally here, said Stephen Rennard, MD, in a presentation in a session on new drugs at the 2024 GOLD International COPD Conference.

The inflammatory pathways associated with COPD are diverse and offer a range of potential targets for biologics, said Rennard, a professor of pulmonary, critical care, and sleep medicine at the University of Nebraska Medical Center, Omaha. 

The therapeutic goals of biologics remain the same as with other treatments for COPD, namely restoration of normal inflammatory response and alteration of disease progression, as well as restoration of lost structure and function and improvement of systemic effects, Rennard said in his presentation. Most studies of new and up-and-coming drugs have improvement in acute exacerbation of COPD as the primary outcome.

 

The Biology Behind the Biologics

T2 inflammation is “an inflammatory cascade led by IL [interleukin]-4, IL-13, and IL-5,” Mona Bafadhel, MD, chair of Respiratory Medicine at King’s College London in England, said in her presentation during the session.

Bafadhel, who served as one of the investigators on the BOREAS and NOTUS studies, explained some of the science behind the development of the new biologics.

Eosinophils are powerful regulators of immune response and inflammation by stimulating T-cell production and affecting other immune cell types, she noted.

In the context of COPD and drug development, high blood eosinophil counts have been associated with increased COPD-related exacerbations, Bafadhel said. She cited data from a Dutch study of more than 7000 patients with COPD (with and without clinical diagnoses), in which absolute eosinophil counts ≥ 3.3% were associated with increased risk for severe exacerbations of 32% and 84% across all patients with COPD and clinical COPD, respectively.

Understanding the mechanisms of the eosinophil in COPD is important for research and development, Bafadhel said. Along with standardizing measurement of T2 inflammatory markers (IL-4, IL-13, and IL-5), more research is needed to fully understand the role of eosinophils in immunoregulation and repair.

 

Fitting the Biologic to the Patient

Several recent studies of up-and-coming biologics have focused on subsets of COPD patients, said Dave Singh, MD, professor of clinical pharmacology and respiratory medicine at The University of Manchester in England, in his presentation at the meeting. In September 2024, the Food and Drug Administration approved dupilumab as the first biologic treatment for patients with uncontrolled COPD and type 2 inflammation on the basis of eosinophil counts. Singh cited data from the BOREAS and NOTUS studies in which dupilumab significantly reduced exacerbations and improved lung function in these patients, compared with a placebo.

Mepolizumab, a biologic approved for asthma, is not currently approved for COPD, but data from a 2017 study showed a trend toward reduced exacerbations, compared with placebo, in a subset of patients with high blood eosinophil counts, Singh said.

In addition, a recent unpublished phase 3 study (MATINEE) showed a reduction in the annualized rate of exacerbations, compared with placebo, on the basis of up to 2 years’ follow-up.

Singh also highlighted data from a phase 2a study of astegolimab, a biologic drug that focuses on the IL-33 receptor, in which COPD exacerbation rates were not significantly different between treatment and placebo groups. However, astegolimab has shown safety and efficacy in adults with severe asthma and is under development in phase 3 trials for COPD.

Tezepelumab, which was approved by the FDA in 2021 as an add-on therapy for severe asthma in patients aged 12 years or older, is also in development as a therapy for COPD exacerbations, Singh said.

In a study presented at the 2024 American Thoracic Society annual meeting, Singh and colleagues found that tezepelumab at a subcutaneous dose of 420 mg every 4 weeks reduced the annualized rate of moderate or severe COPD exacerbations compared with placebo based on data from approximately 300 patients, although the difference was not statistically significant.

Itepekimab, another biologic, showed promise in a phase 2a genetic association study involving current and former smokers with moderate to severe COPD, Singh said.

In that study, published in 2022 in The Lancet Respiratory Medicine, itepekimab failed to meet the primary endpoint in the overall study population of reduced annualized rate of moderate to severe exacerbations; however, a subgroup analysis of former smokers showed a significant (42%) reduction in exacerbations, Singh said in his presentation. Two phase 3 clinical studies (AERIFY-1/2) are ongoing to confirm the safety and efficacy of itepekimab in former smokers with COPD.

 

Takeaways and Next Steps

“These therapies provide the first new classes of medications approved for COPD in nearly 20 years,” said David M. Mannino, MD, of the University of Kentucky, Lexington, in an interview. “Dupilumab will be available to a subset of patients who are poorly controlled and have evidence of high eosinophils in their blood and is only used once every 2 weeks,” added Mannino, who has served as a consultant to companies developing COPD drugs.

Both dupilumab and ensifentrine, a phosphodiesterase (PDE) 3 and PDE4 inhibitor also recently approved for maintenance treatment of COPD, have been shown in clinical trials to reduce exacerbations and improve symptoms, said Mannino. Both offer additional options for patients who continue to have symptoms and exacerbations in spite of their current therapy.

Some barriers to the use of biologics in practice include the high cost. “Access and overcoming insurance-related issues such as preauthorization and high copays will be a challenge,” he said. Also, because dupilumab is an injectable drug, some patient training will be required.

Newer biologic therapies in development are also injectables, but some studies are examining longer time intervals as long as every 6 months, which could be a major advancement for some patients. The newer therapies in development are similar to dupilumab in that they will be injected therapies. Some in development are looking at longer time intervals as long as every 6 months, which may be a major advancement for some patients. “All of these therapies, however, are currently targeting more advanced or serious disease,” he said.

Looking ahead, more therapies are needed for the treatment of early COPD, as well as therapies that can be administered to a large number of patients at a reasonable cost, Mannino added.

Rennard disclosed serving as a consultant for Verona Pharma, Sanofi, Beyond Air, RS BioTherapeutics, RespirAI, and Roche, as well as speaker fees from Sanofi and temporary ownership interest while employed by AstraZeneca. Rennard is also the founder of Great Plains Biometrix. Bafadhel disclosed funding from the National Institute for Health Research (NIHR), grants from Asthma + Lung UK, Horizon Europe, NIHR, and AstraZeneca to her institution, and honoraria from AstraZeneca, Boehringer Ingelheim, Chiesi, GlaxoSmithKline, Novartis, and Pfizer. Singh disclosed relationships including speaking sponsorships, honoraria, and advisory board memberships for Adovate, Aerogen, Almirall, Apogee, Arrowhead, AstraZeneca, Bial, Boehringer Ingelheim, Chiesi, Cipla, Connect Biopharm, Covis, CSL Behring, DevPro Biopharm, Elpen, Empirico, EpiEndo, Genentech, Generate Biomedicines, GlaxoSmithKline, Glenmark, Kamada, Kinaset Therapeutics, Kymera, Menarini, MicroA, OM Pharma, Orion, Pieris Pharmaceuticals, Pulmatrix, Revolo, Roivant Sciences, Sanofi, Synairgen, Tetherex, Teva, Theravance Biopharma, Upstream, and Verona Pharma. Mannino disclosed serving as a consultant to multiple companies currently developing COPD therapies (AstraZeneca, GlaxoSmithKline, Roche, Regeneron, Sanofi, Genentech, Amgen, and Chiesi).

A version of this article appeared on Medscape.com.

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No, Diet and Exercise Are Not Better Than Drugs for Obesity

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They’re literally not better. Idealistically, sure, but literally not. And there’s really no debate. Meaning there’s never been a reproducible diet and exercise intervention that has led to anywhere near the average weight lost by those taking obesity medications. Furthermore, when it comes to the durability of weight lost, the gulf between outcomes with diet and exercise vs obesity medications is even more dramatic.

Looking to the literature, one of the most trotted out studies on lifestyle’s impact on weight over time is the Look AHEAD trial. Before useful obesity medications came on the scene, I trotted it out myself. Why? Because it was heartening when faced with the societal refrain that diet and exercise never worked to be able to show that yes, in fact they do. But how well?

Looking to Look AHEAD’s 4-year data (Obesity [Silver Spring]. 2011 Oct;19[10]:1987-1998), those randomized to the intensive lifestyle initiative arm averaged a 4.7% total body weight loss – an amount that remained the same at 8 years. But I chose 4 years because that’s a better comparison with the semaglutide SELECT trial that revealed at 4 years, the average sustained weight lost was more than double that of Look AHEAD’s, at 10.2%. Meanwhile the recently released SURMOUNT-4 study on tirzepatide reported that at 88 weeks, the average weight lost by participants was a near bariatric surgery level of 25.3% with no signs suggestive of pending regains.

Now maybe you want to cling to the notion that if you just try hard enough, your diet and exercise regime can beat our new meds. Well, it’s difficult to think of a more miserable, often actual vomit-inducing intervention, than the spectacle that used to air weekly on prime time called The Biggest Loser, where participants lived on a ranch and were berated and exercised all day long for the chance to lose the most and win a quarter of a million dollars. But even there, the meds prove to be superior. Although the short-term Biggest Loser data do look markedly better than meds (and than bariatric surgery), whereby the average participant lost 48.8% of their body weight during the grueling 7-month long, 24/7 competition, by postcompetition year 6, the average weight lost dropped to 12.7%.

Yet on November 26, when word came out that Medicare is likely to extend coverage to obesity medications for far more Americans, one of the most common refrains was something along the lines of yes, lifestyle modification is the best choice for dealing with obesity but it’s good that there will be medication options for those where that’s insufficient.

What?

The only reason that the world isn’t comfortable with the eminently provable truth that diet and exercise are inferior to obesity medications for weight management is weight bias. The message is that people simply aren’t trying hard enough. This despite our comfort in knowing that medications have more of an impact than lifestyle on pretty much every other chronic disease. Nor can I recall any other circumstance when coverage of a remarkably effective drug was qualified by the suggestion that known-to-be-inferior interventions are still the best or favored choice.

At this point, obesity medications are plainly the first-line choice of treatment. They provide not only dramatically greater and more durable weight loss than lifestyle interventions, they have also been shown to very significantly reduce the risk for an ever-growing list of other medical concerns including heart attacks, strokes, type 2 diabetes, hypertension, sleep apnea, fatty liver disease, and more, while carrying minimal risk.

Let it also be said that improvements to diet and exercise are worth striving for at any weight, though one should not lose sight of the fact that perpetual, dramatic, intentional, behavior change in the name of health requires vast amounts of wide-ranging privilege to enact — amounts far beyond the average person’s abilities or physiologies (as demonstrated with obesity by decades of disappointing long-term lifestyle outcome data). 

Let it also be said that some people will indeed find success solely through lifestyle and that not every person who meets the medical criteria for any medication’s prescription, including obesity medications, is required or encouraged to take it. The clinician’s job, however, at its most basic, is to inform patients who meet medical use criteria of their options, and if a medication is indicated, to inform them of that medication’s risks and benefits and expected outcomes, to help their patients come to their own treatment decisions.

It’s not a bad thing that we have medications that deliver better outcomes than lifestyle — in fact, it’s terrific, and thankfully that they do is true for pretty much every medical condition for which we have medication. That’s in fact why we have medications! And so this constant refrain of golly-gee wouldn’t it be better if we could just manage obesity with lifestyle changes needs to be put to rest — we literally know it wouldn’t be better, and it’s only weight bias that would lead this evidence-based statement to seem off-putting.

Dr. Freedhoff is Associate Professor, Department of Family Medicine, University of Ottawa, and Medical Director, Bariatric Medical Institute, Ottawa, Ontario, Canada. He reported conflicts of interest with the Bariatric Medical Institute, Constant Health, Novo Nordisk, and Weighty Matters.

A version of this article first appeared on Medscape.com.

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They’re literally not better. Idealistically, sure, but literally not. And there’s really no debate. Meaning there’s never been a reproducible diet and exercise intervention that has led to anywhere near the average weight lost by those taking obesity medications. Furthermore, when it comes to the durability of weight lost, the gulf between outcomes with diet and exercise vs obesity medications is even more dramatic.

Looking to the literature, one of the most trotted out studies on lifestyle’s impact on weight over time is the Look AHEAD trial. Before useful obesity medications came on the scene, I trotted it out myself. Why? Because it was heartening when faced with the societal refrain that diet and exercise never worked to be able to show that yes, in fact they do. But how well?

Looking to Look AHEAD’s 4-year data (Obesity [Silver Spring]. 2011 Oct;19[10]:1987-1998), those randomized to the intensive lifestyle initiative arm averaged a 4.7% total body weight loss – an amount that remained the same at 8 years. But I chose 4 years because that’s a better comparison with the semaglutide SELECT trial that revealed at 4 years, the average sustained weight lost was more than double that of Look AHEAD’s, at 10.2%. Meanwhile the recently released SURMOUNT-4 study on tirzepatide reported that at 88 weeks, the average weight lost by participants was a near bariatric surgery level of 25.3% with no signs suggestive of pending regains.

Now maybe you want to cling to the notion that if you just try hard enough, your diet and exercise regime can beat our new meds. Well, it’s difficult to think of a more miserable, often actual vomit-inducing intervention, than the spectacle that used to air weekly on prime time called The Biggest Loser, where participants lived on a ranch and were berated and exercised all day long for the chance to lose the most and win a quarter of a million dollars. But even there, the meds prove to be superior. Although the short-term Biggest Loser data do look markedly better than meds (and than bariatric surgery), whereby the average participant lost 48.8% of their body weight during the grueling 7-month long, 24/7 competition, by postcompetition year 6, the average weight lost dropped to 12.7%.

Yet on November 26, when word came out that Medicare is likely to extend coverage to obesity medications for far more Americans, one of the most common refrains was something along the lines of yes, lifestyle modification is the best choice for dealing with obesity but it’s good that there will be medication options for those where that’s insufficient.

What?

The only reason that the world isn’t comfortable with the eminently provable truth that diet and exercise are inferior to obesity medications for weight management is weight bias. The message is that people simply aren’t trying hard enough. This despite our comfort in knowing that medications have more of an impact than lifestyle on pretty much every other chronic disease. Nor can I recall any other circumstance when coverage of a remarkably effective drug was qualified by the suggestion that known-to-be-inferior interventions are still the best or favored choice.

At this point, obesity medications are plainly the first-line choice of treatment. They provide not only dramatically greater and more durable weight loss than lifestyle interventions, they have also been shown to very significantly reduce the risk for an ever-growing list of other medical concerns including heart attacks, strokes, type 2 diabetes, hypertension, sleep apnea, fatty liver disease, and more, while carrying minimal risk.

Let it also be said that improvements to diet and exercise are worth striving for at any weight, though one should not lose sight of the fact that perpetual, dramatic, intentional, behavior change in the name of health requires vast amounts of wide-ranging privilege to enact — amounts far beyond the average person’s abilities or physiologies (as demonstrated with obesity by decades of disappointing long-term lifestyle outcome data). 

Let it also be said that some people will indeed find success solely through lifestyle and that not every person who meets the medical criteria for any medication’s prescription, including obesity medications, is required or encouraged to take it. The clinician’s job, however, at its most basic, is to inform patients who meet medical use criteria of their options, and if a medication is indicated, to inform them of that medication’s risks and benefits and expected outcomes, to help their patients come to their own treatment decisions.

It’s not a bad thing that we have medications that deliver better outcomes than lifestyle — in fact, it’s terrific, and thankfully that they do is true for pretty much every medical condition for which we have medication. That’s in fact why we have medications! And so this constant refrain of golly-gee wouldn’t it be better if we could just manage obesity with lifestyle changes needs to be put to rest — we literally know it wouldn’t be better, and it’s only weight bias that would lead this evidence-based statement to seem off-putting.

Dr. Freedhoff is Associate Professor, Department of Family Medicine, University of Ottawa, and Medical Director, Bariatric Medical Institute, Ottawa, Ontario, Canada. He reported conflicts of interest with the Bariatric Medical Institute, Constant Health, Novo Nordisk, and Weighty Matters.

A version of this article first appeared on Medscape.com.

They’re literally not better. Idealistically, sure, but literally not. And there’s really no debate. Meaning there’s never been a reproducible diet and exercise intervention that has led to anywhere near the average weight lost by those taking obesity medications. Furthermore, when it comes to the durability of weight lost, the gulf between outcomes with diet and exercise vs obesity medications is even more dramatic.

Looking to the literature, one of the most trotted out studies on lifestyle’s impact on weight over time is the Look AHEAD trial. Before useful obesity medications came on the scene, I trotted it out myself. Why? Because it was heartening when faced with the societal refrain that diet and exercise never worked to be able to show that yes, in fact they do. But how well?

Looking to Look AHEAD’s 4-year data (Obesity [Silver Spring]. 2011 Oct;19[10]:1987-1998), those randomized to the intensive lifestyle initiative arm averaged a 4.7% total body weight loss – an amount that remained the same at 8 years. But I chose 4 years because that’s a better comparison with the semaglutide SELECT trial that revealed at 4 years, the average sustained weight lost was more than double that of Look AHEAD’s, at 10.2%. Meanwhile the recently released SURMOUNT-4 study on tirzepatide reported that at 88 weeks, the average weight lost by participants was a near bariatric surgery level of 25.3% with no signs suggestive of pending regains.

Now maybe you want to cling to the notion that if you just try hard enough, your diet and exercise regime can beat our new meds. Well, it’s difficult to think of a more miserable, often actual vomit-inducing intervention, than the spectacle that used to air weekly on prime time called The Biggest Loser, where participants lived on a ranch and were berated and exercised all day long for the chance to lose the most and win a quarter of a million dollars. But even there, the meds prove to be superior. Although the short-term Biggest Loser data do look markedly better than meds (and than bariatric surgery), whereby the average participant lost 48.8% of their body weight during the grueling 7-month long, 24/7 competition, by postcompetition year 6, the average weight lost dropped to 12.7%.

Yet on November 26, when word came out that Medicare is likely to extend coverage to obesity medications for far more Americans, one of the most common refrains was something along the lines of yes, lifestyle modification is the best choice for dealing with obesity but it’s good that there will be medication options for those where that’s insufficient.

What?

The only reason that the world isn’t comfortable with the eminently provable truth that diet and exercise are inferior to obesity medications for weight management is weight bias. The message is that people simply aren’t trying hard enough. This despite our comfort in knowing that medications have more of an impact than lifestyle on pretty much every other chronic disease. Nor can I recall any other circumstance when coverage of a remarkably effective drug was qualified by the suggestion that known-to-be-inferior interventions are still the best or favored choice.

At this point, obesity medications are plainly the first-line choice of treatment. They provide not only dramatically greater and more durable weight loss than lifestyle interventions, they have also been shown to very significantly reduce the risk for an ever-growing list of other medical concerns including heart attacks, strokes, type 2 diabetes, hypertension, sleep apnea, fatty liver disease, and more, while carrying minimal risk.

Let it also be said that improvements to diet and exercise are worth striving for at any weight, though one should not lose sight of the fact that perpetual, dramatic, intentional, behavior change in the name of health requires vast amounts of wide-ranging privilege to enact — amounts far beyond the average person’s abilities or physiologies (as demonstrated with obesity by decades of disappointing long-term lifestyle outcome data). 

Let it also be said that some people will indeed find success solely through lifestyle and that not every person who meets the medical criteria for any medication’s prescription, including obesity medications, is required or encouraged to take it. The clinician’s job, however, at its most basic, is to inform patients who meet medical use criteria of their options, and if a medication is indicated, to inform them of that medication’s risks and benefits and expected outcomes, to help their patients come to their own treatment decisions.

It’s not a bad thing that we have medications that deliver better outcomes than lifestyle — in fact, it’s terrific, and thankfully that they do is true for pretty much every medical condition for which we have medication. That’s in fact why we have medications! And so this constant refrain of golly-gee wouldn’t it be better if we could just manage obesity with lifestyle changes needs to be put to rest — we literally know it wouldn’t be better, and it’s only weight bias that would lead this evidence-based statement to seem off-putting.

Dr. Freedhoff is Associate Professor, Department of Family Medicine, University of Ottawa, and Medical Director, Bariatric Medical Institute, Ottawa, Ontario, Canada. He reported conflicts of interest with the Bariatric Medical Institute, Constant Health, Novo Nordisk, and Weighty Matters.

A version of this article first appeared on Medscape.com.

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