Citations

Abstract Disclosure: A. Al Nofal: None. K. Benkhadra: None. M. Nduwimana: None. A. Mohammad: None. A. Abbas: None. Z. Wang: None. M. Murad: None. Background: Hybrid closed-loop (HCL) systems for automated insulin delivery are increasingly used in diabetes management. However, their safety and efficacy in pregnant women with pre-existing type 1 diabetes remain uncertain. Aim: To assess the safety and effectiveness of HCL systems in pregnant women with pre-existing type 1 diabetes compared to current standard of care. Methods: A comprehensive search of several databases was conducted from inception to January 3rd, 2024. Pairs of independent reviewers screened abstracts. Abstracts included by at least one reviewer were reviewed in full text by a pair of independent reviewers. The DerSimonian and Laird random effects model with the Hartung-Knapp-Sidik-Jonkman method was used to pool effect sizes across the included studies. Results: Five randomized controlled trials (RCTs) with 274 pregnant women with type I diabetes met the inclusion criteria. Our meta-analysis showed no significant difference between HCL and standard of care regarding overall time in range (TIR), time above range (TAR), and time below range (TBR). However, overnight, women using HCL showed significantly higher TIR (mean difference: 10.18%, CI 7.42-12.94%) and lower TBR (mean difference: -0.67%, CI -0.91 to -0.43%) compared to those using standard care. Additionally, there were no significant differences between HCL and standard of care in term of LGA, SGA, neonatal hypoglycemia, and maternal severe hypoglycemia or hyperglycemia. Conclusion: HCL systems for management of pre-existing type I diabetes during pregnancy are associated with similar outcomes without increased risk of complications when compared to standard of care. This is derived from limited number of RCTs with low risk of bias but significant imprecision, which warrant low confidence. Presentation: Sunday, July 13, 2025

Abstract Disclosure: M. Kakakhel: None. M. Hussein: None. S. Fatima: None. F. Arshad: None. D. Rizwan: None. A. Qadeer: None. M. Khawar: None. R. Haider: None. S. Batool: None. H. Jawad: None. N.U. saleem: None. H. Ahmad: None. F. Ahmed: None. R. Kirchoff: None. R. Kirchoff: None. Background: With a global prevalence of 586,000 cases of thyroid cancer, thyroid cancer is the 10th most common malignancy. Despite advancements in early detection and treatment, the incidence of thyroid cancer continues to increase in the United States. This study aims to assess disparities in mortality trends stratified by age, sex, race, geography, urbanization status, and location of death, to guide clinical decision making. Methodology: Mortality data on thyroid cancer were extracted from the CDC-WONDER database, from 1999 to 2020. Age-adjusted mortality rates (AAMRs) and crude mortality rates (CMRs) per 100,000 were stratified by age, sex, race, geography, urbanization status, and place of death. Joinpoint regression software was used to determine annual percent change (APC) and average APC. Results: From 1999 to 2020, a total of 46,777 deaths attributed to thyroid cancer occurred in the United States, among individuals aged ≥ 25 years. The overall AAMRs showed a positive trend, increasing from 0.6 per 100,000 (95% CI: 0.5-0.6) in 1999, to 0.7 (95% CI: 0.7 - 0.7) in 2020. 56.63% of those deaths, or 26,493 deaths, occurred in women. When stratified by age group, the 85+ age group had the highest CMR of 9 (95% CI: 8.3-9.7). The racial group with the highest AAMRs were Whites, with an AAMR of 0.7 per 100,000. Mortalities in the South region accounted for 33.5% of total deaths. Moreover, metro areas also had higher mortality rates than non-metro areas. Information regarding place of death was only available for 8242 deaths, with 2763 of them occurring in medical settings. Conclusion: Mortality rates in all population groups increased from 1999 to 2020, with variations in mortality rates noted among them. Risk stratification of high-risk groups, such as older people and women, and targeted interventions are key for addressing disparities in mortality rates. Presentation: Saturday, July 12, 2025

Abstract Disclosure: R. Castaneda: None. D. Bechenati: None. R.D. Rivera Gutierrez: None. M.A. Espinosa: None. J.L. Villamarin: None. E. Tama: None. J.L. Meek: None. P. Bennett: None. A. Acosta: Novo Nordisk, Gila Therapeutics, Amgen Inc, Regeneron Pharmaceuticals, Boehringer Ingelheim, Rhythm Pharmaceuticals, General Mills, Currax, Nestle, Phenomix Sciences, Busch Health, RareDiseases, National Institute of Health, Vivus Pharmaceuticals, Apollo Endosurgery, Satiogen Pharmaceuticals, Spatz Medical. S. Faubion: Era Women’s Health Platform, PriMed, MedAll, AiCME, Medscape, Weight Watchers. C. Shufelt: Bayer Advisory Board. M.D. Hurtado: Novo Nordisk, National Institute of Health, Phenomix. Introduction: Tirzepatide, a dual GIP and GLP-1 receptor agonist, is an FDA-approved medication demonstrating the highest efficacy for weight loss among currently available treatments. However, the influence of sex and age on weight loss outcomes with tirzepatide remains unclear. Objective: To investigate the influence of sex and age on weight loss outcomes in patients treated with tirzepatide. Methods: This retrospective study evaluated weight loss outcomes associated with tirzepatide across sex and age groups. Patients with active malignancy, prior bariatric surgery, or concurrent anti-obesity medication were excluded. The primary endpoint was total body weight loss percentage (TBWL%) at 15 months by sex and age. The influence of age was analyzed as a categorical (≤45, 46-59, ≥60 years) and continuous variable. Secondary outcomes included TBWL% at 3, 6, 9, and 12 months by sex and age. Data were analyzed using independent t-tests, one-way ANOVA, and multivariate regression; results are reported as mean ± standard deviation. Results: The study included 1033 patients (57.1% female; mean age 56 ± 11 years; mean BMI, 37.7 ± 8 kg/m2). By age category, 18.8% (196) were ≤45 years (35.7% males, 64.3% females), 45.9% (473) were 46-59 years (42.7% males, 57.3% females), and 35.3% (364) were ≥60 years (54.7% males, 45.3% females). At all timepoints, TBWL was significantly greater in females compared to males at all timepoints. At 15 months females had a higher TBWL than males: 15.3% ± 10, n=340, vs. 10.2% ± 8, n=244, (p < 0.001). Among females, premenopausal women achieved a higher TBWL than postmenopausal women: 16.9% ± 10 vs 14.4% ± 9, p = 0.04. Analysis by age groups revealed a trend toward higher TBWL in younger patients that did not reach statistical significance (p = 0.152): ≤45 years (14.7% ± 10%), 46-59 years (12.9% ± 10%), and ≥60 years (12.7% ± 9%). After adjusting for baseline age, BMI, and diabetes status, sex remained a strong predictor for weight loss outcomes (PE= 4.5, 95% CI [2.96, 5.97], p < 0.001), following type 2 diabetes status (PE= 4.8, 95% CI [3.0, 6.7], p < 0.001). Conclusion: Sex but not age was a strong predictor of weight loss with tirzepatide. Female sex was associated with greater weight loss than male sex. These results emphasize the importance of considering sex-specific factors in weight loss strategies and warrant further investigation into the underlying biological mechanisms. Differential weight loss by menopause, underscores the role of sex hormones. Presentation: Monday, July 14, 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: M. Kakakhel: None. S. Cheema: None. R. Haider: None. M.H. Alsaadi: None. M. Ikram: None. W. Ftih: None. H. Jawad: None. M.U. Rehman: None. R. Akhtar: None. A. Qadeer: None. M. Khawar: None. A. Ullah: None. H. Ahmad: None. F. Ahmed: None. R. Alcaraz: None. Introduction: Conditions that disrupt the adrenal glands' typical function are known as adrenal gland ailments or diseases. This study examines the distribution of adrenal disorders across various demographic and geographic groups in the United States, including gender, census region, race, age groups, and urbanization levels. Our objective was to identify disparities and trends to inform targeted interventions and resource allocation. Methods: From 1999 to 2020, mortality statistics for adrenal diseases were extracted from the CDC-WONDER database. Age, sex, race, location, urbanization status, and place of death were used to stratify the age-adjusted mortality rates (AAMRs) and crude mortality rates (CMRs) per 100,000. We calculated the average annual percentage change (APC) using Joinpoint regression software. Results: A total of 31,028 fatalities were reported due to adrenal disorders from 1999-2020 (AAPC: 1.277; 95% CI, -0.032 to 2.6032, p=0.055916). An initial rising trend was observed from 1999-2003 (APC: 2.4799), followed by a declining trend from 2003-2013 (APC: -3.0094), then a modest rise from 2013-2018 (APC: -0.9188), and finally a sharp increase from 2018-2020 (APC: 2.9445). Males had a higher AAMR (6.8) than females (6.4). The West census region had the highest AAMR (7.2), followed by the Midwest (7.1), South (6.3), and Northeast (5.6). The highest crude mortality rate was observed in individuals aged 85+ years (52.2). Several disparities were noted when stratified by urbanization and race, including the highest AAMR in Non Core (Nonmetro) regions (7.9) and among American Indian or Alaska Native populations (8.2). The highest percentage of deaths occurred in medical facilities. Conclusions: The findings underscore the need for tailored public health strategies to address disparities in adrenal disorders among vulnerable populations. Specific attention should be directed towards the male gender, West census region, American Indian or Alaska Native populations, and the geriatric population. Future research should explore underlying causes and interventions to mitigate these disparities. Presentation: Monday, July 14, 2025

Abstract Disclosure: C.A. Villavicencio Torres: None. S. Ahmadian: None. V.M. Fell: None. K. Moehnke: None. Y. Chai: None. R.L. Taylor: None. S.K. Grebe: None. A.D. Maus: None. I. Bancos: None. Background: Current standard-of-care assessment of adrenal disorders relies on the venipuncture-based total cortisol measurements. Salivary cortisol (SalF) and cortisone (SalE) measurements have advantages such as a more accurate assessment of patients with cortisol-binging globulin abnormalities and the convenience of at-home non-invasive testing. Aims: This study aimed to compare concentrations of cortisol and dexamethasone between clinical (venipuncture-based) and saliva samples. Methodology: We conducted a cross-sectional study (July 2024-January 2025) of adults undergoing overnight dexamethasone suppression test (DST) or cosyntropin stimulation test (CST). Saliva samples were collected alongside clinical samples. Saliva measurements included cortisol, cortisone, and dexamethasone (mass spectrometry), while clinical samples were tested for total cortisol (Roche immunoassay) and, in a subgroup, dexamethasone (mass spectrometry). Results: Of 241 patients (186 (77%) women, median age 53 years (IQR 39-66)), 178 (74%) provided samples as a part of DST and 63 (26%) as a part CST. An inability to provide sufficient saliva for analysis was found in 5 patients (2%). In patients undergoing DST, median post-dexamethasone serum total cortisol was 1.3 mcg/dL (IQR 0.8-2.2), and median serum dexamethasone (SerD) was 0.43 mcg/dL (IQR 0.3-0.6) based on clinical samples, while median SalF was 10.2 ng/dL (IQR 6.6-23.6), SalE was 78.6 ng/dL (IQR 52.8-131.1), and saliva dexamethasone (SalD) was 60 ng/dL (IQR 41-93). SalE (r=0.92, p<.0001) demonstrated a stronger correlation than SalF (r=0.85, p<.0001) when compared with post-dexamethasone serum total cortisol measurements. SalD (r=0.85, p<.0001) correlated with SerD measurements. In patients undergoing CST, median baseline serum total cortisol was 7.2 mcg/dL (IQR 4.6-10) based on clinical samples, while median baseline SalF was 86.6 ng/dL (IQR 38.3-166.3), and median SalE was 707 ng/dL (IQR 347-906). Median peak 60-minute serum total cortisol was 21.5 mcg/dL (IQR 18-24), while SalF was 870.4 ng/dL (IQR 440-2904) and SalE was 2501 ng/dL (IQR 1770-3193). Both baseline (r=0.92, p<.0001) and 60 min peak post-cosyntropin SalE (r=0.84, p<.0001) demonstrated a strong correlation with venipuncture-based measurements. SalF had a weaker than SalE correlation at both baseline (r=0.88, p<.0001) and 60 min peak post-cosyntropin (r=0.79, p<.0001). Conclusion: Our study demonstrates that salivary measurements of cortisone, cortisol and dexamethasone strongly correlate with standard-of-care venipuncture concentrations following DST and CST. SalE showed the stronger than SalF correlation with venipuncture-based serum total cortisol concentrations. Presentation: Sunday, July 13, 2025

Abstract Disclosure: S. Ahmadian: None. S.R. Chacko: None. S. Sharma Sharma: None. V.M. Fell: None. A. Peersen: None. E.J. Atkinson: None. K.L. Moehnke: None. Y. Chai: None. S.K. Grebe: None. A.D. Maus: None. I. Bancos: None. Background: Cortisol secretion follows a circadian pattern with highest concentrations in the morning, and lowest at night. Loss of circadian cortisol variation has been reported in patients with Cushing syndrome (CS), however, is scarcely investigated in patients with mild autonomous cortisol secretion (MACS). Outpatient assessment of late night and early morning salivary cortisol and cortisone may serve as a valuable diagnostic tool in patients with hypercortisolism. Methods: We conducted a single-center cross-sectional study of adults evaluated at our center between 04/2024 and 04/2025. The study included patients with Cushing’s syndrome (CS), mild autonomous cortisol secretion (MACS), and referent subjects without known adrenal disorders. Participants were provided with two cotton swabs (Salivettes) and instructed to collect saliva samples at two standardized time points: at bedtime (PM) and on waking (AM). Each swab was kept in the mouth for 2-2.5 minutes. Saliva was analyzed for cortisol and cortisone using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Delta cortisol and delta cortisone were defined as the difference between AM and PM concentrations for each individual and were calculated for all participants. Results: A total of 82 patients (32 with ACTH-dependent CS, 5 with ACTH-independent CS, and 45 with MACS), median age of 55 years [IQR 44-65], 63 (77%) women, and 71 referent subjects, median age of 34 years [IQR 28-42], 54 (76%) women, were included. Delta cortisol was higher in referents (median of 212 ng/dL, [IQR 157-358]) vs patients with CS (median 95 ng/dL [IQR -21-184]) or MACS (median 131 ng/dL, [IQR 91-229]). Similarly, delta cortisone was also highest in referents with a median of 828 ng/dL [IQR 612-1131] versus median of 211 ng/dL [IQR -58-468] in CS and 484 ng/dL [IQR 189-849] in MACS. When compared to referents in an age- and sex-adjusted linear regression model, delta cortisone was lower in both patients with CS (est -1.3 (95%CI -1.75 to -0.85), P<0.001 and MACS (est -0.66, 95%CI of -1.17 to -0.16, P=0.010). Delta cortisol was lower in patients with CS (est -1.32, 95%CI -2.11 to -0.54, P=0.001), but not MACS (est -0.51, 95%CI -1.39 to 0.36). Conclusion: Patients with both CS and MACS demonstrate a blunted circadian salivary cortisol and cortisone secretion, as reflected by a lower delta cortisol and cortisone when compared to referent subjects. Assessment with delta salivary cortisone in patients with MACS may be more valuable than a standard of care late night salivary cortisol assessment. Presentation: Sunday, July 13, 2025

Abstract Disclosure: M. Kakakhel: None. S. Cheema: None. S. Fatima: None. R. Noor: None. H. Javaid: None. P.K. Singh: None. H. Jawad: None. R. Haider: None. A. Qadeer: None. M. Khawar: None. T. Ashraf: None. F. Naveed: None. H. Ahmad: None. F. Ahmed: None. R. Kirchoff: None. Introduction: The health of a nation is often a reflection of the equity within its systems. Yet, when we examine the United States, one of the most developed nations globally, a concerning picture emerges in the realm of public health significant racial and ethnic disparities in disease outcomes. Among these, endocrine- related mortality, which includes conditions like diabetes, thyroid disorders, and hormonal imbalances, stands as a silent yet significant contributor to health inequities. Using data from the CDC WONDER database, this study seeks to explore these trends in depth, not just to identify the gaps but to shed light on the lived experiences of marginalized communities who bear the brunt of these inequities to pave the way for more equitable healthcare interventions. Methods: This descriptive study analyzes Racial and Ethnic Disparities in Endocrine-Related Mortality in the United States from 1999-2022, utilizing data from CDC Wonder database. We searched the Center for Disease Control database from 1999 to 2022 for mortality statistics with an underlying cause of death. The age-adjusted mortality rate (AAMR) was calculated per 1,000,000 deaths. We evaluated the AAMR using demographic variables such as race/ethnicity, geographic density, gender, age (25 or above), place of death, and the US Census Region. Temporal trends were assessed using Joinpoint regression software. Mortality rates by age, demographics, and place of death were examined. Statistical analysis calculated endocrine-related mortality rates and trends, with findings deemed significant at P < 0. 05. Results: Between the years 1999 to 2022, 837203 deaths were recorded to be caused by endocrine-related disorders. An overall rising mortality trend from 1999-2022 among all races and ethnicities is noted, except in Asian or Pacific Islander, Black or African American, and Hispanic patients, which shows a rise till 2020 followed by fall in age-adjusted mortality rates (AAMR) in 2022. A significant dip in mortality rate was seen in 2017 in all racial and ethnic groups. American Indian or Alaska Natives showed highest AAMR (181.87, 95% CI 178.06-185.69) followed by Black or African Americans (149.78, 95% CI 148.9-150.64), Hispanic or Latinos (112.33, 95% CI 111.59-113.07), Whites (94.31, 95% CI 66.6-68.25), Asian or Pacific Islanders (67.45, 95% CI 66.6-68.25). American Indians or Alaska Natives exhibit the steepest rise over time (APC -0.32 TO 8.85) from 1999-2022. Conclusions: Mortality due to endocrine-related disorders has dramatically increased over time. Significant disparities have been noted among different races and ethnic groups, with the highest rate among Americans and the lowest among Asians. This underscores the need for targeted interventions for specific racial groups to reduce the mortality burden of endocrine-related diseases. Presentation: Sunday, July 13, 2025

Abstract Disclosure: I. Bancos: Adrenas, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), AstraZeneca, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Corcept Therapeutics, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Diurnal, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), HRA Pharma, consulting, advisory board, data safety monitoring board fees (paid to institution outside this work), or funding for investigator-initiated research, Neurocrine, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), NovoNordisk, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Recordati Rare Diseases, consulting, advisory board, data safety monitoring board fees (paid to institution outside this work), or funding for investigator-initiated research, Sparrow, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Spruce, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Xeris, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work). F. Castinetti: HRA Pharma, consultancy for and research grants, Lundbeck, consultancy for and research grants, Recordati Rare Diseases, consultancy for and research grants. E.B. Geer: Corcept Therapeutics, research grants to her hospital, Recordati Rare Diseases, research grants to her hospital and occasional consulting honoraria, Sparrow, research grants to her hospital and occasional consulting honoraria, Xeris Pharmaceuticals (Strongbridge), research grants to her hospital and occasional consulting honoraria, Crinetics Pharmaceuticals, occasional consulting honoraria, HRA Pharma, occasional consulting honoraria, Lundbeck, occasional consulting honoraria, Member of the LINC 6 steering committee. S. Espiard: Recordati Rare Diseases, reports invitations to training courses and medical congresses. C. Mouly: Pfizer, consulting and advisory board fees, Recordati Rare Diseases, consulting and advisory board fees. L. Dichtel: Lumos Pharma, consultant and received research support to her hospital, Novo Nordisk, consultant and received research support to her hospital, Perspectum, received research support to her hospital, Recordati Rare Diseases, research support to her hospital, Flare Therapeutics, consultant, Marea Therapeutics, consultant and has equity in company, Third Rock Ventures, consultant, Merida Biosciences, consultant and has equity in company. E.V. Varlamov: Lumiio, research support to her university, Novo Nordisk, research support to her university, Pfizer, research support to her university, Recordati Rare Diseases, research support to her university. A. Ferriere: Novo Nordisk, Recordati Rare Diseases. E. Nowak: Supported by the Else Kröner-Fresenius–Stiftung and the Eva Luise und Horst Köhler–Stiftung within the Clinician Scientist program RISE (2022_EKFKSE.03). C. Simeoli: Neurocrine UK Ltd, consultancy, Recordati Rare Diseases, consultancy. R.A. Feelders: HRA Pharma, consultancy, Recordati Rare Diseases, consultancy, Corcept Therapeutics, research grant, Member of the LINC 6 steering committee. J. Le Mouhaër: Recordati Rare Diseases, employee. P. Raunioniemi: Recordati Rare Diseases, employee. A. Mueller: Recordati Rare Diseases, employee. N. Scheyer: HRA Pharma, invitations to training courses and medical congresses, Pfizer, invitations to training courses and medical congresses, Recordati Rare Diseases, invitations to training courses and medical congresses. Introduction: LINC 6 (NCT05382156) is an ongoing prospective, observational study evaluating the long-term safety and effectiveness of osilodrostat, a potent 11β-hydroxylase inhibitor, over 3 years in patients (pts) with Cushing’s syndrome (CS). We report results from a prespecified 2-year interim analysis. Methods: Adult pts with endogenous CS were enrolled in 5 countries (USA and Europe) where osilodrostat is approved and available. The primary objective is long-term safety and tolerability, assessed by incidence of osilodrostat-related adverse events (AEs) and serious AEs (SAEs), with a focus on hypocortisolism-, adrenal hormone precursor accumulation-, arrhythmia/QT prolongation-, and pituitary tumor enlargement-related AEs. Secondary effectiveness endpoints include change in mean urinary free cortisol (mUFC) and late-night salivary cortisol (LNSC). Here, we report AEs in the safety population (≥1 osilodrostat dose; n=206) among pts with Cushing’s disease (CD) and non-pituitary CS (non-PCS, adrenal or ectopic CS; data cutoff July 2024). Results: Data were available for 205 pts: 75.6% were female, mean (standard deviation) age was 53.0 (14.4) years. 161 pts had CD and 44 had non-PCS (adrenal adenoma, n=12; adrenal carcinoma, n=2; bilateral adrenal nodular disease, n=10; ectopic adrenocorticotropic hormone secretion, n=17; other, n=3). Median (min-max) on-study osilodrostat exposure and dose were 8.3 months (0.0-20.8) and 5.0 mg/day (0.5-80.0). 34 (21.1%) CD and 9 (20.5%) non-PCS pts reported 91 and 14 AEs considered treatment related, respectively; most were mild or moderate (95.6% CD and 85.7% non-PCS). Most common (>5% of events) treatment-related AEs: CD, adrenal insufficiency (9.9%, n=9/91 events), diarrhea, dizziness, fatigue (6.6% [n=6/91] each) and nausea (5.5%, n=5/91); non-PCS, adrenal insufficiency (42.9%, n=6/14 events), hypokalemia (14.3%, n=2/14), abnormal hormone (cortisol) level, dizziness, hirsutism, joint stiffness, musculoskeletal stiffness, and nervous system disorder (7.1% [n=1/14] each). 17 (10.6%) CD and 10 (22.7%) non-PCS pts reported 29 and 16 SAEs (7 and 4 were considered treatment related), respectively. 5 (3.1%) CD and 2 (4.5%) non-PCS pts discontinued because of 8 and 3 treatment-related AEs. CD and non-PCS pts reported 21 and 9 hypocortisolism-related AEs, 16 and 6 adrenal hormone precursor accumulation-related AEs, and 3 and 0 arrhythmogenic potential/QT interval prolongation-related AEs, respectively. CD pts had 3 pituitary tumor enlargement-related AEs. At month 3, mUFC and LNSC were normal in 73.9% (n=34/46) and 56.3% (n=18/32) of pts. By month 6, mUFC and LNSC were normal in 63.0% (n=29/46) and 30.4% (n=7/23) of pts. Conclusions: These LINC 6 2-year interim data show that osilodrostat is effective for the management of different etiologies of CS. AEs were mostly mild or moderate, with few leading to treatment discontinuation. Presentation: Sunday, July 13, 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