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Abstract Background The Global Bipolar Cohort (GBC) was established to identify existing bipolar disorder (BD) cohorts worldwide and foster collaborations focused on descriptive and analytic outcomes relevant to BD. A distributed analytic framework has been implemented to engage multiple sites without the need for central data pooling. This report describes the GBC endeavor and global functional impairment patterns. Cross-cohort comparisons of functional correlates are limited by heterogeneous measures and data-sharing constraints. Large, culturally diverse comparisons are needed to distinguish broadly reproducible correlates from cohort-specific effects. Participating sites completed a 28-item descriptive survey covering diagnostic methods, cognition, genetics, treatment, functioning, and follow-up strategies. We implemented a harmonized local logistic regression model of dichotomized functional outcome and shared summary statistics only. Results We identified 69 cohorts across five continents. Thirty-seven cohorts contributed functional outcome analyses from 17,130 participants. Outcome measures included clinician-rated disability scales and social indicators such as employment and marital status. The proportion classified with poor functioning ranged from 16% to 77% (mean 50%). In 32 of 37 cohorts, the overall regression model significantly explained variance in functioning. Current depressive symptoms were the most robust and reproducible correlate of poor functional outcome: they were assessed in 29 cohorts, significant in 22 (75.8%), ranked among the top three correlates in 22, and were the top-ranked correlates in 19. Associations between depressive burden and poor functioning were observed across clinician-rated disability scales and work or social indicators, and across geographically diverse cohorts. Comorbid substance use disorder and medication-related variables were associated with poorer functioning in subsets of cohorts, whereas sex, ancestry, bipolar subtype, psychosis history, and premorbid IQ showed weak or inconsistent associations. Cognitive measures, available in a minority of regression models, showed modest and non-uniform effects. Conclusions Across heterogeneous international cohorts, current depressive symptom burden emerged as the most consistent correlate of poor functioning in bipolar disorder. These findings replicate earlier multisite work at a larger scale, show that protocol-based distributed analyses can identify reproducible clinical signals without sharing individual-level data, and support prioritizing detection and treatment of depressive symptoms when aiming to improve real-world functioning. Future work should expand longitudinal harmonization and representation of under-studied populations.

Abstract Aims SCN5A-E1784K (c.5350G>A) is the most common variant associated with the long QT (LQTS) and Brugada syndromes (BrS). It can manifest variably as LQTS, BrS, and/or conduction disorders. This presents a challenge for risk stratification. We aimed to describe clinical and ECG characteristics and identify risk markers that associate with arrhythmic events. Methods and results We undertook a retrospective observational multicentre study of a large cohort of 231 subjects with SCN5A-E1784K from Europe, USA, and Japan. Comprehensive demographic and clinical data, including initial presentation ECG and follow-up, were collected. ‘Lethal events’ were defined as sudden death, non-fatal cardiac arrest, and documented sustained VT or VF. ‘Cardiac events’ were defined as arrhythmic syncope plus any lethal events. Clinical characteristics and ECG parameters corrected for age were investigated for association with lethal and/or cardiac events. Fourteen (6%) subjects experienced a lethal event and 45 (19%) a cardiac event. PR interval and QRS duration were associated with lethal and cardiac events. In multivariable models, both PR interval and QRS duration were associated with lethal events, but only QRS duration was associated with cardiac events. Only age-corrected QRS (rQRS) was associated with lethal and cardiac event-free survival from birth after correction for multiple testing. Conclusion Ventricular myocardial conduction appears likely to play a role in the risk of arrhythmic events in patients with SCN5A-E1784K. This provides an important opportunity for the personalization of management and has the potential to guide preventative therapies.

Abstract Context Prior reports of plasma estradiol concentrations and their reference ranges in postmenopausal women identified marked variation, in part due to assay method and body mass index (BMI). Objective To develop an international reference range for plasma estradiol in postmenopausal women, support accurate assessment of concentrations during systemic and local (eg, vaginal) estradiol therapy, and improve risk prediction for diseases, including osteoporosis, breast, and endometrial cancers. Methodology Estradiol concentrations were measured using primarily liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays in 5 international cohorts of community-dwelling, postmenopausal women of primarily European ancestry aged 38-100 years who were not using exogenous estrogens (n = 7206). Measurements were harmonized to the Centers for Disease Control and Prevention (CDC) reference measurement procedure (RMP) by re-assaying a subset of samples for each cohort and generating recalibration equations. Reference intervals were determined for all women, non-obese women, and specific BMI categories. Results Estradiol concentrations from separate LC-MS/MS assays correlated closely with the CDC RMP, and harmonization minimized inter-assay variability. Estradiol concentrations correlated with BMI but not with chronological age. The reference range (2.5th-97.5th percentile) was 1.1-18.2 pg/mL (4.0-66.8 pmol/L) with median of 4.9 pg/mL (18.0 pmol/L) for all postmenopausal women and 1.1-12.5 pg/mL (4.0-45.9 pmol/L) with median of 4.1 pg/mL (15.1 pmol/L) for non-obese women (BMI < 30). Reference ranges increased progressively with higher BMI categories. Conclusion Cross-calibration of estradiol measurements with the CDC RP enabled the development of harmonized plasma estradiol reference ranges for postmenopausal women who were not using exogenous estrogens, suitable for future studies to establish clinical utility. Increasing obesity in postmenopausal women was associated with increasing estradiol concentration and BMI category-specific reference ranges.

Abstract Aims Alcohol and its relationship with cardiovascular disease (CVD) remain contentious. Several observational studies have found cardioprotective associations, while Mendelian randomization studies have found null or harmful effects of moderate drinking. Biases, including abstainer misclassification and sick-quitter effects, may obscure true associations. It is widely understood that former drinkers are often sick quitters. However, removal of former drinkers from analyses addresses bias in the abstainer group but fails to account for induced survivorship among current drinkers. This study sought to determine whether adjusting for biases altered the association between alcohol and CVD by comparing conventional models with those using (i) occasional drinkers as the reference group instead of lifetime abstainers and (ii) ‘intention-to-treat’ reallocation of former drinkers based on past drinking patterns. Methods and results The Multi-Ethnic Study of Atherosclerosis is a prospective cohort study of 6814 participants aged 45–84 years between 2000 and 2002 without baseline CVD. A total of 6755 participants were included after excluding those with missing data. Alcohol consumption was self-reported and classified as lifetime abstainer, former, or current drinker [occasional (≤1 drink/week), light (2–7 drinks/week), moderate (8–14 drinks/week), heavy (>14 drinks/week)]. Outcomes included coronary artery calcium (CAC; 0, 1–100, 101–300, and >300) and clinical events [myocardial infarction (MI), stroke, cardiovascular mortality, composite major adverse cardiovascular events (MACEs), and heart failure]. Of 6755 participants, 20.6% were lifetime abstainers, 24.1% former drinkers, and 55.3% current drinkers. Adjusting for biases altered the observed relationship between alcohol and CVD, showing increased harm with light drinking, decreased protection with moderate drinking, and a dose–response relationship between alcohol and CAC, particularly CAC >300 in adjusted models. Protective associations between moderate drinking and MI [hazard ratio (HR): 0.64, 95% confidence interval (CI): 0.38–1.06] and cardiovascular mortality (HR: 0.81, 95% CI: 0.53–1.25) were attenuated and became non-significant. Light drinking shifted from null to increased risk for MI (HR: 1.46, 95% CI: 1.11–1.92), stroke (HR: 1.54, 95% CI: 1.17–2.03), MACE (HR: 1.33, 95% CI: 1.12–1.57), and heart failure (HR: 1.42, 95% CI: 1.10–1.84). Conclusion Associations between alcohol and CVD in observational studies are sensitive to methodologic variation. Results from models correcting for abstainer/sick-quitter biases may help explain discrepant results from previous studies.

Abstract Purpose To evaluate the correlation between occupational burnout and depression, frequency with which they coexist, how often 1 condition may be present in the absence of the other, and their association with suicidal ideation. Method The authors conducted a secondary analysis of cross-sectional national surveys of practicing U.S. physicians (conducted October 19, 2023, to March 3, 2024) and residents/fellows (“trainees”; conducted November 30, 2023, to January 2, 2024). They measured correlation between emotional exhaustion (EE) and depersonalization (DP) scores using the Maslach Burnout Inventory and depression T-scores using the National Institutes of Health Patient Reported Outcomes Measurement Information System Depression scale. Results A total of 5993 practicing physicians and 2676 trainees were included in the analysis. The pooled R2 value between EE and depression scores for physicians and trainees was 0.42 (P < .001) and between DP and depression scores was 0.28 (P < .001). Among the 4087 practicing physicians with normal depression scores, 1201 (29.4%) had high EE and/or high DP. Among the 1601 trainees with normal depression scores, 485 (30.3%) had high EE and/or high DP. On multivariable logistic regression adjusting for age, gender, relationship status, and work hours, each 1-point increase in depression T-score was associated with 15% higher odds of suicidal ideation among practicing physicians (OR 1.15; 95% CI, 1.13–1.17; P < .001) and trainees (OR 1.15, 95% CI, 1.13–1.17; P < .001). No statistically significant association between EE or DP scores and suicidal ideation was observed. Conclusions Occupational burnout and depression are correlated but distinct constructs with distinct outcomes. Less than half the variation in burnout is explained by depression (and vice versa). Population health approaches to improve physician well-being should address both conditions. Organizational efforts should go beyond providing support for individuals experiencing distress and also address the work environment factors that contribute to it.

Abstract Introduction Daily fluctuations in sleep disturbances have been shown to shape pain experiences among individuals with chronic pain. Additional biobehavioral factors, such as abuse history, depression, current and long-term anxiety, opioid use, physical functioning, and fatigue, may also affect daily pain outcomes. Yet the extent to which these factors collectively contribute to daily pain intensity and unpleasantness remains insufficiently understood. Methods Using baseline data from the SPINII randomized controlled trial (R01NR017168; McCrae, PI), women with insomnia and fibromyalgia (N = 294, x- age = 40) completed 14 days of sleep diaries assessing sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), and pain intensity and unpleasantness (0–100). Additional predictors included abuse history, Beck Depression Inventory (BDI), State–Trait Anxiety Inventory (STAI), and PROMIS-57 physical functioning and social functioning. Linear mixed models examined the effects of sleep and related factors on daily pain. Results Significant predictors of pain intensity included higher between-person SOL (b = 0.08, p < .001) and WASO (b = 0.08, p < .001), lower between-person TST (b = -0.10, p < .001), lower within-person TST (b = −0.03, p < .001), opioid use (b = 2.84, p = .029), poorer physical functioning (b = −0.35, p = .008), and higher depression scores (b = 0.20, p = .046). Pain unpleasantness showed nearly identical patterns, with only physical functioning becoming non-significant. Random intercepts and residual variance values were significant in both models (p < .001), indicating within- and between-person variation in pain. ICCs of .80-.85 revealed that the majority of variance was between-person, while non-significant autocorrelations (p > .05) indicated minimal day-to-day carryover effects beyond stable individual differences. Conclusion Overall sleep quality and emotional health shape pain experience more strongly than daily fluctuations. Although TST offers some next-day relief, chronic contributors are more relevant to daily pain. Effects were largely consistent; between- and within-person TST showed strong effects, and depression had a slightly larger effect on pain unpleasantness than pain sensitivity, reinforcing a multidimensional biopsychosocial pain process. These findings highlight the need for integrated interventions that strengthen sleep, emotional well-being, and physical functioning. Support (if any) NIDA

Abstract Introduction Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia strongly associated with α-synucleinopathies, most commonly Parkinson’s disease (PD). Among Veterans, posttraumatic stress disorder (PTSD) is common and may influence RBD presentation and outcomes. The extent to which PTSD modifies demographic, medical, and mortality profiles in Veterans with RBD, and how these differ from those with RBD and Parkinson’s disease (PD), remains poorly characterized. Methods We conducted a retrospective cohort study using the Veterans Health Administration Corporate Data Warehouse. Veterans with at least one ICD-9 or ICD-10 diagnostic code for RBD were identified between 1999 - 2020 and categorized into three, mutually-exclusive groups based on the presence or absence of co-occurring ICD codes: RBD-only, RBD+PTSD, or RBD+PD. Demographics, comorbidities (Charlson Comorbidity Index [CCI]), and mortality outcomes were compared using logistic regression models adjusted for age, sex, race/ethnicity, BMI, and CCI. Results The cohort included 11,283 Veterans with RBD only, 17,527 with RBD+PTSD, and 5,675 with RBD+PD. Veterans with RBD+PTSD were younger (mean 58.9 ± 14.9 y) and had higher psychiatric comorbidity (94.2%) compared to RBD only (54.2%) or RBD+PD (46.5%). Those with RBD+PD were older (73.6 ± 8.1 y), predominantly male (98.9%), and had the highest neurological comorbidity (92.6%). Unadjusted mortality was lowest in RBD+PTSD (15.3%) and highest in RBD+PD (53.6%). Adjusted models showed reduced mortality risk for RBD+PTSD (aOR 0.73, 95% CI 0.70–0.80, p < 0.001) and increased risk for RBD+PD (aOR 2.43, 95% CI 2.3–2.6, p < 0.001) vs. RBD alone. Higher age, male sex, and greater comorbidity independently predicted mortality. Conclusion In this large national VA cohort, comorbid PTSD and Parkinson’s disease were associated with distinct demographic and clinical profiles among Veterans with RBD. RBD+PTSD was linked to younger age, greater psychiatric burden, and lower mortality. These findings underscore the heterogeneity of RBD in Veterans and support stratified approaches to surveillance for synucleinopathy and trauma-related sleep disturbances. Support (if any) VA CDA # IK2CX002363-01A1 (MJ); NHLBI K25 #1K25HL152006-01 (JR)

Abstract Introduction Once-nightly sodium oxybate (ON-SXB) is approved to treat cataplexy or excessive daytime sleepiness (EDS) in patients ≥7 years of age with narcolepsy. ON-SXB demonstrated significant improvements in both objective (Maintenance of Wakefulness Test) and subjective (Epworth Sleepiness Scale [ESS] score) measurements of sleepiness in the REST-ON trial and via the ESS in the real-world REFRESH study. Assessing ON-SXB ESS data from a specialty pharmacy and outside of clinical studies further informs the generalizability of effectiveness. Methods Demographic and clinical data were collected from Optum Frontier Therapies pharmacy for patients with ≥1 filled ON-SXB prescription, ≥1 ON-SXB-related clinical assessment, and ≥1 follow-up ESS score (6/1/2023-9/30/2024). Participation in ESS assessment was voluntary. ESS scores were assessed for patients who switched from twice-nightly oxybate (TN-OXB) treatment (first ON-SXB prescription filled ≤30 days of last TN-OXB prescription [switch]) and those new to oxybate or with >30 days between TN-OXB and ON-SXB prescription fills (not-on-oxybate) who had ESS data at initial ON-SXB prescription and at each follow-up assessment. Results Of 452 identified patients, 215 had ≥1 follow-up ESS score (switch, n=82 [mean age, 38.4 years; female, 71%]; not-on-oxybate, n=133 [mean age, 40.0 years; female, 71%]). Of patients who had any prior oxybate use (switch, 100%; not-on-oxybate, 46%), the most common prior oxybate was mixed-salt oxybates (switch, 59%; not-on-oxybate, 70%). Stimulants/wake-promoting agents were taken by 51% of switch and 65% of not-on-oxybate patients. Baseline mean (SD) ESS scores were 11.3 (5.5) for switch and 12.5 (5.6) for not-on-oxybate patients; 23% of switch and 38% of not-on-oxybate patients experienced severe EDS. By the first follow-up (median [IQR], 49 [28-94] days), mean (SD) ESS scores were within the normal EDS range with ON-SXB for both subgroups (ie, ESS < 10; switch, 9.7 [5.5]; not-on-oxybate, 9.5 [5.2]); the majority reported normal levels of daytime sleepiness (switch, 56%; not-on-oxybate, 57%). Mean (SD) change in ESS score from baseline to follow-up was -1.6 [4.5] for switch and -3.1 [5.0] for not-on-oxybate groups. Conclusion Patients who initiated ON-SXB experienced improvements in daytime sleepiness regardless of prior TN-OXB use, and many achieved normal levels of daytime sleepiness in ≤2 months of starting ON-SXB. Support (if any) Avadel Pharmaceuticals

Abstract Introduction Hypoglossal nerve stimulation (HGNS) is an effective therapy for moderate-to-severe obstructive sleep apnea (OSA) in patients intolerant of positive airway pressure. Comorbid insomnia (COMISA) is common and may shape their engagement. Despite reports of improved insomnia symptoms, real-world data suggest reduced adherence and increased support needs. This study evaluated the impact of COMISA on HGNS therapy patterns and outcomes. Methods We conducted a retrospective cohort study of 46 adults with OSA who underwent HGNS implantation at Mayo Clinic Rochester between July 2020 and August 2025. Patients were categorized as OSA alone or COMISA based on pre-implantation data, including documented insomnia diagnosis, insomnia severity index score ≥15, sleep initiation or maintenance complaints, hypnotic or melatonin use, participation in cognitive behavioral therapy for insomnia, or an insomnia care plan within one year prior to activation. We collected HGNS adherence metrics (30-day average nightly use, nightly pauses, percent nights used) at 1, 3, 6, and 12 months; non-visit HGNS-related clinical encounters at 6 and 12 months; and pre- and post-activation AHI from polysomnography or home sleep apnea testing. Longitudinal outcomes were analyzed using mixed-effects models with fixed effects for time and COMISA status and a random intercept for patient. Results The cohort was 54% male and 98% White, with median age 66 years and BMI 31 kg/m2 (24–34). Median pre-implant AHI was 27 (19–40), and 30 patients (65%) had COMISA. Median nightly HGNS use declined from 7.8 to 6.6 hours from 1 to 12 months; mixed-effects modeling confirmed significant decreases over time (p≤0.03). Median nightly therapy pauses increased from 0.1 to 0.5, and median non-visit clinical encounters increased cumulatively from 2.5 at 6 months to 3.0 by 12 months (both p≤0.01). Median AHI reduction was 18.5 (2–27) (p=0.047). There were no statistically significant differences between OSA-alone and COMISA groups in HGNS adherence trajectories, therapy pauses, support needs, or AHI improvement (all p>0.05). Conclusion Although HGNS use declined modestly over time, COMISA was not statistically associated with differences in adherence, clinical support needs, or treatment response. Directional trends suggest greater adaptation challenges among patients with COMISA, warranting evaluation in larger prospective studies. Support (if any)

Abstract Introduction Isolated REM sleep behavior disorder (iRBD) is characterized by loss of normal REM sleep atonia and dream enactment behavior. iRBD is strongly associated with α-synucleinopathies and risk for developing Parkinson’s disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA), yet phenoconversion risk for long-term outcomes of younger women and men remains undefined. We aimed to ascertain longitudinal outcomes and phenoconversion risk in the Mayo Clinic iRBD cohort. Methods Eighty-nine of 165 registry participants with at least one-year follow-up were included. Retrospective chart review attained baseline demographics, age at presentation, baseline Timed Up and Go (TUG) and Montreal Cognitive Assessment (MoCA) scores, and phenoconversion status (iRBD, PD, DLB, mild cognitive impairment [MCI], MSA, or other). Kaplan–Meier survival analysis and Cox proportional hazards modeling were analyzed with alpha at p < 0.05. Results 68 men and 21 women had a mean age of 63 years at polysomnographic diagnosis. At follow-up, 64 (71.9%) remained iRBD; 7 (7.9%) developed PD, 11 (12.4%) developed DLB, 3 (3.4%) developed MCI, 1 (1.1%) developed MSA, and 3 (3.4%) developed another dementia. Abnormal TUG (>12 seconds) occurred in 5.9% and abnormal MoCA (< 24) in 23.3%. Phenoconversion rates were similar in women and men (p = 0.44). Older age at PSG predicted phenoconversion, corresponding to a two-fold increase in risk with each 10-year increase (HR 2.00, 95% CI 1.15–3.52). Neither abnormal TUG nor MoCA predicted conversion. Cumulative phenoconversion was approximately 1% at 1 year, 7% at 3 years, 10% at 5 years, 30% at 10 years, 34% at 12 years, and 49% at 15 years. Mean and median time to phenoconversion was 7 years (range, 1-18 years). Conclusion We found that iRBD phenoconversion rates were lower than historically reported. Only age at presentation predicted phenoconversion, with risk doubling per decade. At 12 years, cumulative phenoconversion rate was approximately 34%. Support (if any)