Citations

Abstract Disclosure: H. Ahmad: None. M. Kakakhel: None. A. Ullah: None. M. Saeed: None. J. Ikram: None. A. Qadeer: None. M. Khawar: None. H. Jawad: None. S. Haider: None. R. Haider: None. F. Ahmed: None. R.W. Kirchoff: None. Background: Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by the destruction of insulin-producing cells in the pancreas. It is a global health concern with regional variation in incidence and prevalence. This study aims to analyze the regional incidence and prevalence of T1DM among adolescents and young adults (15-39 years) from 1990 to 2021 in 26 regions. Methods: Global Burden of Disease (GBD) data for 2021 were analyzed to assess regional incidence and prevalence of T1DM among adolescents and young adults. The Annual Average Percentage Change (AAPC) was calculated to evaluate trends from 1990 to 2021, with statistical significance determined using p-values. Results: In 2021, middle socio-demographic index (SDI) has the highest incidence (54541) as well as prevalence (1.86 million), followed by Low-middle SDI (I: 48416, P: 1.80 million) and South Asia (I: 46310, P: 1.73 million). Oceania has the lowest incidence (356) as well as prevalence (12885), followed by Andean Latin America (I: 911, P: 31954) and Caribbean regions (I: 1214, P: 54610), respectively. The largest increase in AAPC of incidence was showed by Southern Latin America (2.23, CI: 2.11-2.30), High-income Asia Pacific (2.22, CI: 2.18-2.26), and Western Europe (1.80, CI: 1.73-1.84) regions, while Western Europe (1.72, CI: 1.66-1.75), Eastern Europe (1.64, CI: 1.63-1.66), and Australasia (1.38, CI: 1.36-1.40) showed largest increase in AAPC of prevalence. The Caribbean region had the greatest decline in AAPC of prevalence (-0.11, CI: -0.08 to -0.12) followed by Eastern Sub-Saharan Africa (-0.07, CI: -0.06 to -0.09) and Central Latin America (-0.04, CI: -0.02 to -0.07). There was no region with decline in incidence. All AAPC values were statistically significant (p < 0.000001). Conclusion: Middle SDI region exhibited the highest incidence and prevalence, highlighting the vulnerability of these populations, while Oceania and Andean Latin America bore the least burden. Notably, several regions, particularly in Europe, experienced substantial increases in both incidence and prevalence, emphasizing the need for targeted interventions. Conversely, some regions, such as the Caribbean, showed encouraging declines in prevalence, suggesting that effective prevention and control strategies can be implemented. These findings underscore the importance of tailored approaches to address the evolving burden of T1DM. Presentation: Saturday, July 12, 2025

Abstract Disclosure: M. Kakakhel: None. S. Fatima: None. H. Ahmad: None. A. Ibrahim: None. W. Rahman: None. R. Haider: None. H. Jawad: None. A. Qadeer: None. M. Khawar: None. F. Ahmed: None. J. Ikram: None. R. Kirchoff: None. Background: Across the world, type 1 diabetes mellitus (T1DM) is a major health problem for teenagers and young people. This study aims to examine the incidence and prevalence of T1DM by gender in the 15-39 age range between 1990 and 2021. Methods: We analyzed data from the Global Burden of Disease (GBD) to evaluate incidence and prevalence rates of T1DM in each gender from 1990 to 2021. The Annual Percentage Change (APC) and The Annual Average Percentage Change (AAPC) was used to assess trends, with p-values determining the statistical significance. Results: From 1990 to 2021, the global prevalence of T1DM was found to be increased steadily for both genders, with the highest rates recorded in 2021: 247.32 per 100,000 for females and 246.47 per 100,000 for males. Incidence rates in 2021 showed a contrasting pattern, with males exhibiting higher rates (7.18 per 100,000) compared to females (5.98 per 100,000). AAPC analysis showed that males exhibit a faster rise in both prevalence and incidence compared to females over the study period. The difference in AAPC between males and females is more pronounced for prevalence (+0.3748%) compared to incidence (+0.1956%), with all AAPC values being statistically significant (p < 0.000001). Following the APC analysis, other significant trends were revealed. Male incidence experienced the greatest increase during 2015-2021, with an APC of +1.9033% (p < 0.000001), whereas female incidence increased most between 2011 and 2014 (APC = +1.3050%; p < 0.000001). In contrast, the most significant decline in incidence was observed in females during 1990-1992, with an APC of +0.1665% (p = 0.006799), which was the lowest increase in the dataset. For prevalence, males exhibited the highest increase during 2015-2021, with an APC of +1.3938% (p < 0.000001), whereas females had their peak increase during 2006-2009, with an APC of +0.8957% (p < 0.000001). The slowest increase in prevalence for females occurred during 2014-2019, with an APC of +0.4591% (p < 0.000001). Conclusion: The prevalence and incidence of T1DM among people aged 15-39 increased significantly between 1990 and 2021, with a greater increase in males. This highlights the need for gender-specific strategies in T1DM prevention and management, and research into the factors driving these disparities. Presentation: Sunday, July 13, 2025

Abstract Disclosure: M. Kakakhel: None. S. Fatima: None. H. Ahmad: None. M. Khan: None. A. Rai: None. A. Qadeer: None. R. Haider: None. M. Khawar: None. U. Habib: None. H. Jawad: None. J. Ikram: None. F. Ahmed: None. R. Kirchoff: None. Introduction: Type 1 Diabetes Mellitus (T1DM) is a disease that affects people all over the world. This condition causes significant morbidity, as measured by Disability-Adjusted Life Years (DALYs) and mortality rates, and its severity varies worldwide. The purpose of this study is to examine trends in T1DM-related death rates and DALYs across 26 geographical areas from 1990 to 2021 in order to provide a current picture of the disease's consequences and identify regional differences. Methods: This study examined DALYs and mortality rates per 100,000 people in individuals aged 15-39 years using data from the Global Burden of Disease Study from 1990 to 2021. Trends were assessed using the Average Annual Percentage Change (AAPC), with p-values used to define statistical significance. The study examined 26 regions with varied socioeconomic development indices (SDI). Using confidence intervals to account for data uncertainty, DALYs and mortality were examined to investigate the disease burden across time. Results: In 1990, the Middle SDI region had the highest DALYs at 298,352 (95% CI: 256,144 -349,670), which reached 382,857 (95% CI: 213,704-317,664) by 2021 (AAPC = 0.15, P-value < 0.000001). The region with the highest DALYs in 2021 was the Low-Middle SDI, with 419,772 (95% CI: 344,307- 495,496) cases (AAPC = -2.93, P-value = <0.000001). From 1990 to 2021, Oceania consistently had the lowest DALYs of 1,895 (95% CI: 1,264-2,577) and 4,210(95% CI: 3,011-5,724), respectively (AAPC= 0.15, P-value = 0.0004). Mortality rates in 1990 were highest in the Middle SDI area with 3,758 deaths (95% CI: 3,343-4,332) (AAPC= -1.23, P-value = <0.000001), but by 2021, South Asia had the highest mortality rate at 5,189(95% CI: 4,272-6,087) (AAPC= -0.49). Oceania had the lowest mortality rate of 25 deaths (95% CI 145-35) (AAPC = 0.193, P-value = <0.0004) in 1990, whereas Australasia had the lowest mortality rate of 28 deaths (95% CI 26-29) in 2021 (AAPC = -0.93, P-value = <0.000001). Conclusion: From 1990 to 2021, the global burden of type 1 diabetes—as indicated by DALYs and death rates—underwent a substantial shift, with significant rises in several regions. DALYs were highest in the Middle SDI region in 1990 but have migrated to the Low-Middle SDI region by 2021, reflecting shifting healthcare issues and demographics. Mortality rates followed a similar pattern, with South Asia and the Low-Middle SDI regions experiencing the highest rates in 2021. Over both time periods, however, Oceania and Australasia consistently had the lowest DALYs and death rates. These findings emphasise the critical need for targeted interventions in high-burden areas. Addressing these differences is crucial for decreasing the global burden of T1DM. Presentation: Sunday, July 13, 2025

Abstract Disclosure: H. Ahmad: None. S. Fatima: None. M. Kakakhel: None. I. khan: None. A. Raza: None. Z. Khan: None. R. Haider: None. A. Qadeer: None. M. Khawar: None. F. Ullah: None. H. Jawad: None. J. Ikram: None. F. Ahmed: None. R.W. Kirchoff: None. Background: Type 1 diabetes mellitus (T1DM) is an autoimmune condition, characterized by the destruction of pancreatic beta cells, resulting in lifelong dependency on insulin. It is a significant health burden in adolescents and young adults, with long-term complications affecting quality of life and survival. We aim to explore sex-stratified trends in mortality and disability-adjusted life years (DALYs) due to T1DM from 1990 to 2021. Methods: We obtained sex-stratified data for adolescents and young adults (15-39 years) with T1DM from the Global Burden of Disease (GBD) from 1990 to 2021. The mortality rates were age-standardized and expressed per 100,000 deaths. Trends were analyzed as annual percentage change (APC) and average APC (AAPC) using Joinpoint Regression. Results: From 1990 to 2021, deaths due to T1DM in adolescent and young adult males increased globally from 7,123 to 9,244 per annum, with age-standardized mortality rates (ASMRs) decreasing from 0.64 to 0.61 and standardized DALYs rising from 49.56 to 51. In females, deaths rose from 6,160 to 6,892, with ASMRs declining from 0.57 to 0.47 and DALYs declining from 47.12 to 43.11. Despite the apparent rise in deaths, ASMRs exhibited a significant decline in both sexes, with an AAPC of -0.16% (95% CI: -0.20 to -0.12) in males and -0.62% (-0.68 to -0.55) in females, four times that of in males. The DALYs showed a significant decline in females with an AAPC of -0.31% (-0.35 to -0.26) but a significant increase in males with an AAPC of 0.09% (0.04 to 0.12). Males showed the greatest APC increase in ASMRs of 1.34% from 1990 to 1994, while females showed the greatest APC increase of 0.45% from 1990 to 2000, three times less and over twice the period seen in males. This was followed by the greatest APC decline of -1.14% in females from 2001 to 2011, and a non-significant decline of -0.14% till 2021. Males experienced the greatest decline of -1.14% from 2000 to 2013. It then increased significantly from 2013 to 2018 (APC: 0.73%), followed by a significant decline of -0.62% till 2021, almost four times that in females. DALYs showed a similar trend in females with the greatest increase of 0.45% from 1990 to 2000, followed by the greatest decrease of -1.14% till 2011, and then a non-significant decline of -0.14 till 2021. Males showed the greatest increase of 1.24% from 1990 to 1994 and the greatest decrease of 0.63% from 2000 to 2013, followed by a much smaller decline. Conclusion: Although ASMRs declined, the recent decline in ASMRs in females is becoming less pronounced highlighting the importance of ongoing monitoring and improvement strategies. The disparity in DALYs between males and females also demands the need for targeted interventions addressing male-specific challenges to reduce the burden of T1DM. Presentation: Sunday, July 13, 2025

Abstract Disclosure: S.R. Chacko: None. J. Saini: None. S. Sharma Sharma: None. S. Ahmadian: None. S.J. Achenbach: None. E. Atkinson: None. V. Fell: None. J.J. Van Gompel: None. W.F. Young, Jr.: None. I. Bancos: None. Context: Evidence on the duration of postoperative adrenal insufficiency (AI) in patients with endogenous hypercortisolism is scarce. Objective: To determine the duration of postoperative AI and to identify factors associated with the duration of AI in patients undergoing surgery for endogenous hypercortisolism.Methods: We conducted a single center prospective cohort study, 2019-2024, of patients with endogenous hypercortisolism [Cushing syndrome (CS) or mild autonomous cortisol secretion (MACS)] treated with surgery. Associations of demographics, BMI, clinical and biochemical hypercortisolism severity, subtype of hypercortisolism, presurgical hypercortisolism duration and glucocorticoid type in relation to duration of AI were investigated. Results: The 110 patients [36% MACS, 46% pituitary CS, 15% adrenal CS, 3% ectopic CS, median age 50 years (IQR: 40-60), 82% women] who developed postsurgical AI were followed for a median duration of 26 months (IQR: 15-38). By the end of follow up, 96 patients (87%) had recovery of AI. The median time to recovery of AI was shorter in MACS vs. Overt Cushing syndrome (3.0 months (95% CI: 2.5-6.2) vs. 12.3 months (95% CI 9.0-17.3), P =0.002). Biochemical severity score (r=0.32, P=0.002) and duration of preoperative hypercortisolism symptoms (r=0.29, P=0.005), but not age, sex, BMI, clinical severity, or glucocorticoid type were associated with the duration of AI. We found no differences in the duration of AI between patients with ACTH-dependent vs ACTH-independent CS (12.3 months (95% CI: 6.0-17.2) vs 13.9 months (95% CI: 9.0-25.5), P =0.7).Conclusion: In this interim analysis, we showed that after surgical remission of endogenous hypercortisolism, duration of postoperative AI was longer in CS compared to MACS. Additionally, higher biochemical hypercortisolism severity score and a longer duration of symptoms suggestive of hypercortisolism were associated with a longer duration of postoperative AI. Presentation: Sunday, July 13, 2025

Abstract Disclosure: S.R. Chacko: None. C.A. Villavicencio Torres: None. K. Yu: None. S.G. Waguespack: None. L. Lu: None. Z. Belaya: None. T. Bandgar: None. A. Sada: None. O. Ragnarsson: None. B. Altieri: None. A. Newman: None. P. Vibhatavata: None. M. Tóth: None. E.V. Varlamov: None. C. Badiu: None. A. Paissan: None. M. St-Jean: None. H. Falhammar: None. N. Imamudeen: None. L. Haberbosch: None. M. Bobrowicz: None. A. Tabarin: None. R. Shah: None. M.R. Gadelha: None. A. Peersen: None. W.F. Young: None. J. Kaplan: None. J. Varghese: None. M.A. Habra: None. O. Golounina: None. G.A. Melnichenko: None. A.R. Lila: None. C. Yamichannaiah: None. I. Bancos: None. Context: Cushing syndrome (CS) due to ectopic ACTH secretion (EAS) is a rare condition, associated with severe hypercortisolism and consequent morbidity and mortality. Its varied and often emergent presentation make diagnosis and treatment challenging. Objectives: 1.Characterize clinical and biochemical presentation of EAS. 2.Describe the scope of hypercortisolism-related complications, overall and CS-specific mortality. 3.Identify factors associated with CS-specific mortality. Methods: We conducted a multicenter retrospective cohort study in patients with EAS at 37 centers. Outcomes were clinical/biochemical severity scores, complications, overall and CS-specific mortality. Results: In 1053 patients [median age at diagnosis 52 years (IQR 37-64), 57% women], metastatic disease was present at diagnosis in 585 (56%). The most common sources of EAS were bronchial neuroendocrine neoplasm (NEN) (304, 29%), pancreatic NEN (114, 11%) and small cell lung carcinoma (114, 11%), with the source of EAS being occult in 192 (18%). Clinical and biochemical severity scores were severe in 475 (45%) and 873 patients (92%) respectively. Hypokalemia was present in 819 patients (78%) in the year prior to diagnosis. Of 342 patients (32%) who had IPSS, 301 (88%) suggested an ectopic source, 7 (2%) a pituitary source, and 23 (7%) were non-diagnostic. Of 595 patients who had both functional and cross-sectional imaging, discordant findings were seen in 122 (21%), concordant lesion was seen on both in 326 (55%), and no lesion in 147 (25%). Of those with discordant results, cross-sectional imaging was accurate in 66 (54%) and functional imaging in 56 (46%).Management included medical therapy alone in 237 (23%), surgical excision of the source of EAS in 158 (15%), bilateral adrenalectomy in 77 (7%) and multimodal therapies in 498 patients (47%). Complications within 5 years after diagnosis included hospitalization related to CS or its therapy in 351 (33%), infection in 337 (32%), thromboembolic event in 102 (10%), cardiovascular event in 83 (8%) and cerebrovascular event in 27 (3%). During a median follow-up of 35 months (IQR 20-122) from CS diagnosis, death occurred in 462 patients (44%), with the cause of death related to CS in 149 (14%). CS-specific mortality was higher in metastatic compared with non-metastatic disease (19% vs. 7%, P<0.001). On multivariable analysis of age, sex, clinical and biochemical severity, older age (HR 1.03, 95% CI: 1.02-1.04) and lower clinical severity score (HR 0.97, 95% CI: 0.94-0.99), were associated with higher CS-specific mortality. Conclusion: Our interim analysis, the largest worldwide, found that most patients with EAS had severe hypercortisolism and hypokalemia. Metastatic disease was present in 56%, and the source of EAS was occult in 18%. CS-related death occurred in 14%, emphasizing the need for urgent management. Presentation: Monday, July 14, 2025

Abstract Disclosure: A. Zhang: None. J. Kapoor: None. C. Deveney: None. A.G. Cope: None. M.M. Walther-Antonio: None. N. Chia: None. C.W. Pattanayak: None. M.J. Tetel: None. The vaginal microbiome (VM) consists of the microorganisms and their metabolites residing in the vaginal tract and is critical for maintaining female reproductive health. The Lactobacillus species predominate most VMs and produce lactic acid, which has been cited as a key protector of vaginal health. Alterations in the finely balanced vaginal microbiome can cause infections, such as bacterial vaginosis, and may contribute to the development of endometrial and ovarian cancer. While it is well-established that stress and the gut microbiome impact each other via the gut-brain axis, the influence of stress, hormones, and lifestyle factors on the VM composition remains poorly understood. We investigated the relationship between stress, hormones (menstruation, hormonal contraception), lifestyle factors (diet, exercise, sleep), and the VM composition. In this 10-week study, healthy, young female volunteers (n=62) provided daily vaginal and fecal swabs, weekly stress ratings, daily data on sleep and activity (via FitBit) and diet information. High-throughput 16S rRNA sequencing was used to identify the vaginal microbial composition of each sample. Types of hormonal birth control were none (n=30), local progestin (n=9), systemic progestin-only (n=7), or systemic estrogens and progestin combined (n=16). Consistent with our previous study, vaginal microbial diversity, as measured by the Shannon index, varied by type of hormonal birth control, with participants not on hormonal birth control having the highest average diversity. There was a positive relationship between average stress and vaginal microbial diversity, with preliminary results suggesting that this relationship depends on hormonal birth control status. Participants who menstruated during the 10-week study had a higher vaginal microbial diversity than those who did not. We are currently analyzing which microbes contribute to these differences in vaginal microbial diversity. Microbiota and fungal data from the daily vaginal and fecal swab samples will be analyzed to determine how stress, hormones and/or lifestyle factors relate to crosstalk between the vaginal and gut microbiomes. These findings may provide long-term, time-longitudinal insights into how these two important microbiomes are involved in important aspects of women’s health. Presentation: Sunday, July 13, 2025

Abstract Disclosure: I. Bancos: None. H. Falhammar: None. J. Young: None. R. Pivonello: Received research funding from Corcept Therapeutics, Neurocrine Biosciences, Recordati AG, Spruce Bioscience and Xeris Pharmaceuticals (Strongbridge Biopharma), Consultant for Corcept Therapeutics, Crinetics Pharmaceuticals, HLundbeck A/S and Recordati Rare Diseases.. G. Russo: None. M.R. Stancampiano: None. V.H. Lin: Full-time employee of Neurocrine Biosciences, Inc. J. Sturgeon: Full-time employee of Neurocrine Biosciences, Inc. J.L. Chan: Full-time employee of Neurocrine Biosciences, Inc. Background: In patients with classic congenital adrenal hyperplasia (CAH), chronic glucocorticoid (GC) treatment, especially at supraphysiologic doses, can lead to weight gain or obesity. Crinecerfont, a corticotropin releasing factor type 1 receptor (CRF1) antagonist, is a first-in-class medication that is FDA-approved for adjunctive treatment to GC replacement to control androgens in patients with CAH. In CAHtalyst™ Adult (NCT04490915), least-squares mean (LSM) percent changes in GC dose at Week 24 (end of double-blind placebo-controlled [DBPC] period) indicated a significant reduction with crinecerfont (-27.3% vs 10.3% for placebo; LSM difference [LSMD] -17.0%; P<0.0001) while androstenedione was maintained or improved relative to Day 1 baseline (BL). At Month 12 (end of open-label [OL] period), mean percent decreases from BL were -24.6% in participants continuing crinecerfont (CFT/CFT) and -29.7% in those switched from placebo (PBO/CFT). Objective: To evaluate weight-related outcomes in adults with CAH who received up to 1 year of crinecerfont. Methods: Mean change from Day 1 BL in body mass index (BMI) and mean percentage change from BL in weight were analyzed at Week 24 and Month 12. Achievement of >5% reduction in weight was also analyzed, with results presented as % (n/N: n=number meeting response threshold, N=number who were overweight/obese [BMI ≥25 kg/m2]) at BL and had available data at assessment [Week 24 and Month 12]). For predefined endpoints in the DBPC period, results are presented as LSM changes with LSMD and P-value. Results: Mean BMI at BL was 30.1 kg/m2 (crinecerfont) and 29.0 kg/m2 (placebo), and >70% of participants were overweight or obese (74.6% [91/122] crinecerfont; 63.3% [38/60] placebo). At Week 24, LSM changes from BL for crinecerfont vs placebo were as follows: BMI (-0.42 vs -0.02; LSMD: 0.40, P=0.1068); percent change in weight (1.45% vs -0.07%; LSMD: 1.38%, P=0.0856). At Month 12, further mean reductions from BL were observed with crinecerfont in BMI (-0.81 kg/m2 CFT/CFT, -0.44 kg/m2 PBO/CFT) and weight (-2.72% CFT/CFT, -1.37% PBO/CFT). Among participants who were overweight or obese at BL, a higher percentage achieved >5% reduction in weight at Week 24 with crinecerfont 18.4% (16/87) versus placebo 13.5% (5/37). At Month 12, 27.4% (23/84) and 38.9% (14/36) achieved this threshold in the CFT/CFT and PBO/CFT groups, respectively. Conclusion: Adults with CAH who received up to 1 year of crinecerfont showed reductions in BMI and weight. Among participants who were overweight or obese at BL, 30.8% achieved a >5% reduction in weight at Month 12. These analyses indicate that the substantial GC dose reductions enabled by crinecerfont can allow for improvements in the weight-related effects associated with chronic supraphysiologic GC exposure. Presentation: Sunday, July 13, 2025

Abstract Disclosure: S. Sharma Sharma: None. J. Saini: None. S.R. Chacko: None. S. Ahmadian: None. V. Fell: None. S.J. Achenbach: None. E.J. Atkinson: None. W.F. Young: None. I. Bancos: None. Context: The impact of active hypercortisolism on sleep is incompletely characterized. Several studies report impaired sleep in patients with Cushing syndrome (CS). Patients with mild autonomous cortisol secretion (MACS) demonstrate an abnormal circadian cortisol secretion with mild nocturnal hypercortisolism that could also impact sleep. Objectives: To characterize sleep abnormalities and to identify factors associated with impaired sleep in patients with CS and MACS. Methods: We conducted a single-center cross-sectional study of prospectively enrolled adults with active CS and MACS evaluated between August 31, 2020, and December 2, 2024. Clinical and biochemical severity scores for hypercortisolism were calculated. Quality of life (QoL) was assessed using 1) Short Form-36 (SF-36), physical (PCS) and mental (MCS) component summaries, and 2) Cushing QOL survey, with psychosocial and physical domains. Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), a global score of ≥5 was considered abnormal. Pearson correlations and linear regression models were used to explore associations with PSQI scores. Results: In 285 patients (226 [79%] women, 259 [91%] White, median age of 54 [IQR 44-64] years), MACS was diagnosed in 147 (52%) and CS in 138 (48%). Patients reported abnormal sleep (median PSQI of 12 (IQR 8-16) in CS vs 10 (IQR 7-15) in MACS (P=0.086). Most prevalent sleep abnormalities included report of “fairly bad” or “very bad” overall sleep quality (73% in CS and 54% in MACS) and report of severe day dysfunction due to sleepiness (70% in CS and 56% in MACS). In an age-, sex- and BMI- adjusted univariable analysis of patients with hypercortisolism, higher clinical hypercortisolism severity score (r=0.13, P=0.024) and worse QoL, as measured by SF-36 and Cushing QoL (P=<0.001 for all), were associated with higher PSQI scores, a reflection of poor sleep. In a multivariable analysis of patients with hypercortisolism, we found that younger age (est -0.08, P=<0.001), female sex (est 1.95, P=0.004), lower BMI (est -0.07, P=0.041), and higher clinical severity score (est 0.12, P=0.024) were associated with higher PSQI scores, indicating impaired sleep. In a multivariable analysis of only patients with MACS, female sex (est 2.17, P=0.012), lower BMI (est -0.12, P=0.017), and higher clinical severity score (est 0.24, P=0.003), but not age were associated with higher PSQI scores, indicating impaired sleep. In patients with CS, only younger age (est -0.12, P=<0.001), but not other variables were associated with higher PSQI scores. Conclusion: We found that patients with MACS have impaired sleep, possibly due to nocturnal hypercortisolism. In patients with MACS, but not CS, clinical hypercortisolism severity score was associated with more impaired sleep. Presentation: Sunday, July 13, 2025

Abstract Disclosure: S. Sharma Sharma: None. J. Saini: None. S.R. Chacko: None. S. Ahmadian: None. V. Fell: None. S. Achenbach: None. A. Peersen: None. E. Atkinson: None. W.F. Young: None. I. Bancos: None. Context: Patients with MACS demonstrate an abnormal circadian cortisol secretion with mild nocturnal hypercortisolism that could impact sleep. Objectives: 1) To characterize sleep abnormalities and to identify factors associated with impaired sleep in patients with MACS. 2) To compare sleep abnormalities between patients with MACS and referent subjects. Methods: We conducted a single-center cross-sectional study of prospectively enrolled adults with MACS evaluated between August 31, 2020, and April 03, 2025. In parallel, we conducted a referent subject study between May 15, 2019, and May 02, 2023. Referent subjects were eligible if they had abdominal cross-sectional imaging without evidence of an adrenal mass. For patients with MACS, clinical and biochemical severity scores for hypercortisolism were calculated. In both groups, quality of life was assessed using Short Form-36 (SF-36), physical (PCS) and mental (MCS) component summaries. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), a global score of ≥5 was considered abnormal. Pearson correlations and linear regression models were used to explore associations with PSQI scores. Results: The total cohort included 167 patients with MACS and 89 referent subjects. No differences in age (median 60 vs 56 years, P= 0.122) and sex (71% vs 67% females, P= 0.523) were observed between patients with MACS and referents. However, median BMI was higher in patients with MACS (32 28 kg/m2 [IQR 28-38] vs 28 kg/m2 [IQR 24-32], P= < 0.001). Patients with MACS had more impaired sleep than referent subjects (median PSQI 11 [IQR 7-15] vs 5 [IQR 3-7], P= <0.001). In an age-, sex- and BMI- adjusted univariable analysis, lower PCS and MCS scores were associated with poor sleep in both referents (r= -0.45, P= <0.001 and r= -0.29, P= 0.008) and patients with MACS (r= -0.36 and -0.38, P= <0.001), however, the presence of obstructive sleep apnea (OSA) was not. In patients with MACS, both higher clinical and biochemical severity scores were associated with poor sleep (r=0.20, P=0.012) and (r= 0.15, P= 0.050). Multivariable analysis of age, sex, BMI, clinical severity and OSA demonstrated that women (est 2.35, P= 0.004), lower BMI (est -0.13, P= 0.014) and higher clinical severity score (est 0.17, P=0.026), but not OSA were associated with impaired sleep in patients with MACS. All PSQI subcomponents were higher in patients with MACS vs referents, indicating poor sleep-most significantly, sleep quality score (OR 3.93, 95% CI: 2.58-6.29), sleep disturbance score (OR 3.73, 95% CI: 2.28-6.37) and daytime dysfunction score (OR 4.74, 95% CI: 2.29-10.75). Conclusion: Patients with MACS report impaired sleep, and women with lower BMI and higher clinical hypercortisolism severity scores are more affected. Reversing abnormal nocturnal hypercortisolism may improve sleep. Presentation: Saturday, July 12, 2025