Citations

Abstract Disclosure: L. Miller-Wilson: Employee of Immunovant, Inc. N. Princic: Employee of Merative. K. Evans: Employee of Merative. N. Atreja: Employee of Immunovant, Inc. K. Tollefsen: Employee of Immunovant, Inc.. D. Toro-Tobón: None. Objectives: Graves’ disease (GD) is an autoimmune condition responsible for most cases of hyperthyroidism in the United States. An estimated 20%-50% of patients with GD will also develop thyroid eye disease (TED). Current treatments for GD focus on managing hyperthyroidism, but frequent monitoring, dose adjustments, and the high rate of relapse after discontinuation of antithyroid drugs can increase treatment costs and complicate long-term management. This study describes healthcare resource utilization (HCRU) and costs among patients with GD, with and without TED. Methods: This retrospective analysis utilized claims data from the Merative™ MarketScan® Research Databases. Individuals aged ≥18 years with ≥2 claims for a GD diagnosis from January 1, 2017-December 31, 2023 were included (first claim = index). To ensure a newly diagnosed cohort, patients with a history of GD-specific treatment or a GD diagnosis in the 12 months preceding the index were excluded. The final GD cohort was stratified into patients who had evidence of TED at any time during the 12-month pre-index period through 90 days post-index, and those who did not. Propensity score matching was used to balance patients with GD (with and without TED) with non-GD controls (1:3) on demographic and baseline clinical characteristics. Both GD cases (with and without TED) and controls were required to have ≥12 months of post-index follow-up. HCRU and costs were compared between cases and controls during a fixed 12-month post-index period. Categorical outcomes were compared using chi-squared tests, while continuous endpoints were compared using paired t-tests. Results: The analysis included 1,767 GD cases with TED matched with 5,301 controls (mean age, 53.1 years [standardized mean difference (SMD), 0.00]; 77% female [SMD, 0.00]; mean Charlson comorbidity score, 0.9 [SMD, 0.02]) and 43,120 GD cases without TED matched with 129,360 controls (mean age, 49.8 years [SMD, 0.00]; 78% female [SMD, 0.00]; mean Charlson comorbidity score, 0.7 [SMD, 0.01]). Compared with matched controls, patients with GD and TED had 78% more inpatient visits (0.16 vs 0.09), 104% more outpatient visits (65.06 vs 31.86), and 43% more prescriptions (30.21 vs 21.13) during the 12-month post-index period, while patients with GD without TED had 75% more inpatient visits (0.14 vs 0.08), 83% more outpatient visits (52.15 vs 28.48), and 38% more prescriptions (24.27 vs 17.56) (p<0.001 for all). Annual mean healthcare costs were 305% higher ($56,584 vs. $13,981) among GD patients with TED and 65% higher ($19,913 vs $12,076) in those without TED compared with matched controls. Conclusion: Patients with GD had significantly higher HCRU and healthcare costs than matched controls in the 12 months following diagnosis, and this difference was notably greater among GD patients who also had TED. More effective treatments are needed to address the health and financial burden of GD. Presentation: Monday, July 14, 2025

Abstract Disclosure: M. Kakakhel: None. S. Cheema: None. R. Haider: None. F. Saleem: None. A. Ullah: None. M. Shah: None. A. Qadeer: None. M. Khawar: None. H. Jawad: None. H. Ahmad: None. F. Ahmed: None. S. N.l.: None. R. Alcaraz: None. Background: Diabetes mellitus (DM) is a global health burden, contributing significantly to mortality and comorbidities, including chronic kidney disease (CKD), which remains a leading cause of morbidity and mortality, especially in type 1 and type 2 diabetes. Methods: This retrospective cohort study examined mortality data from the United States from the CDC WONDER database, which gathers data from death certificates. Particularly, deaths from renal problems (ICD-10 codes E10.2-E14.2) linked to diabetes were the emphasis. Sex, age, race/ethnicity, and geographic location were among the important demographic factors that were used to stratify the data for the analysis. Temporal trends were examined using linear regression, while geographic disparities were assessed through chi-square tests and regression analysis. A significance level of p<0.05 was used for all tests. Results: According to the data, the death rate from diabetes increased significantly between 1999 and 2020. Between 1999 and 2020, the number of deaths from diabetes rose from 2,325 to 74,296. From 13.12 per 100,000 in 1999 to 276.92 per 100,000 in 2020, the age-adjusted death rate increased significantly, indicating a fivefold rise in mortality rates over the 21 years. After 2010, the pace of increase became especially steep, with notable yearly increases, especially in the years after 2013. In the Hispanic population alone, the number of deaths from diabetes more than quadrupled between 2013 and 2020, rising from 5,378 in 2013 to 10,395 in 2020. Male mortality rates were consistently greater than female death rates, indicating gender-based inequities as well. By 2020, there were 41,225 male deaths from diabetes (AAMR: 351.07). Notably, the death rate for men was almost 60% greater than that for women in 2020, with rates rising more sharply for men, particularly from 2010 onward. Significant differences in diabetes-related mortality were also observed by geography. Florida, Texas, and California had the largest mortality burdens; in California alone, 73,185 deaths, or 13.8% of all deaths, occurred. Lastly, more deaths were found to occur in medical facilities, especially inpatient settings, as well as at home or in hospice care, indicating a change in the place of death. Conclusions: The study shows a significant rise in diabetes-related mortality in the US over the past two decades, with males experiencing a higher mortality rate. Geographic disparities are also evident, with Southern states and large states like California, Texas, and Florida contributing disproportionately. The shift in death places suggests increased reliance on medical facilities, home care, and hospice care. The study calls for targeted public health interventions to address the growing burden of diabetes-related mortality, particularly in high-risk regions. Presentation: Sunday, July 13, 2025

Abstract Disclosure: M. Kakakhel: None. S. Cheema: None. R. Haider: None. F. Saleem: None. M.H. Alsaadi: None. H. Jawad: None. A.Z. Khan: None. A. Qadeer: None. M. Khawar: None. A. Ullah: None. M.F. Hemida: None. H. Ahmad: None. F. Ahmed: None. R. Alcaraz: None. Background: Globally, pediatric endocrine anomalies are a significant cause of early mortality. This study examines the discrepancies of paediatric endocrine abnormalities 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 for the vulnerable demographics. Methods: Adhering to STROBES criteria, we extracted the mortality statistics due to endocrine disorders in the paediatric population from 1999-2020 from the Centre for Disease Control and Prevention-Wide Ranging Online Data for Epidemiologic research (CDC-WONDER). We calculated Age-Adjusted mortality rates (AAMRs) per 100,000 individuals. We calculated the Annual Percentage Change (APC) and Average Annual Percentage Change (AAPC) to assess trends stratified by age, gender, urbanization, race, census region, and states. Joinpoint regression model was used for analysis. Results: Between 1999 and 2020, 5161 deaths among children less than 1 year to 14 years of age in the United States were related to endocrine-related disorders. Most occurred due to thyroid disorders, diabetes mellitus, and other miscellaneous disorders related to glucose regulation and pancreatic internal secretion. The overall AAPC for endocrine-related mortality in the pediatric population increased from 1.4866 in 2008 to 2.4982 in 2020, with an AAPC of 0.1346 (95% CI: -3.1216 to -3.5003, p > 0.000001). The male population had higher AAPCs than the female population (women: -0.9938; men: 0.7223). There were notable racial differences: The Hispanic or Latino population had the highest AAPC (0.15), followed by the Black population (-0.195) and then the White population with the lowest AAPC (-0.166). According to the age group stratification, the age group with the highest AAPC was the 5-14 age group (2.03) and the lowest the less than 1 year age group, with AAPC (-2.007). There was a significant decrease in deaths in the less than 1 year age group from 1999 to 2020 (p value < 0.05) with APC (-2.0) (95% CI: -3.0191 to -0.9861) and for the 5-14 age group from 2010 to 2020 with APC (10.8861) (95% CI: 3.4843 to 18.8). Depending on the urban-rural categorization, metro areas had a higher AAPC (0.1508) compared to the non-metro areas with an AAPC (-0.4467). Conclusion: The overall decline in endocrine-related deaths in the pediatric population from 1999 to 2020 hails an improvement in efforts made to manage these disorders. However, the recent uptick in the Hispanic-Latino population emphasizes the necessity for targeted efforts to tackle these disparities and improve the health outcomes of affected communities as well as in children 1-4 years of age, depicting the increased vulnerability and need for added care in this age group. Presentation: Saturday, July 12, 2025

Abstract Disclosure: R.D. Rivera Gutierrez: None. D. Bechenati: None. R. Castaneda: None. M.A. Espinosa: None. J.L. Villamarin: None. E. Tama: None. J.L. Meek: None. T.M. Taaffe: None. P.K. Bennett: None. A.J. Acosta: Novo Nordisk, Gila Therapeutics, Rhythm Pharmaceuticals, Amgen Inc, General Mills, Regeneron Pharmaceuticals, Boehringer Ingelheim, 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, AiCME, MedAll, Medscape, Weight Watchers. C. Shufelt: Bayer Advisory Board. M.D. Hurtado: Novo Nordisk, National Institute of Health, Phenomix Sciences. Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have demonstrated cardiovascular (CV) benefits. Tirzepatide (TZP), a dual GLP-1 and gastric inhibitory polypeptide (GIP) receptor agonist approved for weight management and glycemic control, currently lacks evidence on CV outcomes. This study evaluates TZP’s impact on cardiometabolic parameters and atherosclerotic cardiovascular disease (ASCVD) risk scores. Methods: We conducted a multicenter retrospective study of adults prescribed TZP from June 1, 2022, to November 1, 2024. Inclusion criteria included 12 months of TZP use and age >18 years. Exclusion criteria were pregnancy, active malignancy, concurrent FDA-approved antiobesity medications, and prior bariatric surgery. Endpoints included changes in blood pressure, lipid profiles, liver enzymes, glucose control parameters, medication use (statins, aspirin, antihypertensives), and ASCVD risk scores from baseline to 12 months, stratified by sex. Data were obtained from electronic medical records. We present data as mean differences [95% CI]. We used T-tests and multivariate regression analyses for analyses. Results: Among 831 participants (59.4% female; 91.2% White; mean age: 58 ± 12 years), 12-month weight loss was -12% [-13, -11], p<0.001. We observed significant improvement in systolic blood pressure (SBP) (-4 [-5, -3] mmHg, p<0.001), triglycerides (TG) (-38 [-52, -23] mg/dL, p<0.001), total cholesterol (TC) (-7 [-10, -4] mg/dL, p<0.001), LDL cholesterol (LDL) (-6 [-9, -4] mg/dL, p<0.001), fasting glucose (FG) (-39 [-48, -29] mg/dL, p<0.001), ALT (-10 [-15, -5] U/L, p<0.001), HbA1c (-1.3% [-1.5, -1.2], p<0.001), and HDL cholesterol (HDL) (+4 [+3, +5] mg/dL, p<0.001). The Lifetime and 10-year ASCVD scores did not significantly change after 12 months (p>0.05), underscoring TZP’s potential in mitigating the aging-associated increase in CV risk. Considering sex, females had greater weight loss (-13% [-14, -12] vs. -10% [-11, -9], p<0.001), and greater improvements in TC (-5% [-8, -2] vs -3% [-6, 0.1], p<0.001) and LDL (-10% [-14, -6] vs -4% [-8, 1], p<0.001). Males had a greater reduction in DBP (-2% [-4, -1] vs (-1% [-6, 3], p=0.006). Both males and females demonstrated similar improvements in FG and HbA1c. Conclusion: TZP significantly improved CV and metabolic parameters after 12 months, with greater benefits observed in females. These improvements effectively mitigated the age-related rise in ASCVD risk scores. Larger, prospective studies are warranted to confirm these findings and further investigate TZP’s long-term CV effects. Presentation: Monday, July 14, 2025

Abstract Disclosure: A. Omayer: None. A. Sharif: None. A. Kc: None. S. Hoque: None. H. BaniHani: None. L. Khaled: None. A. Holeihel: None. U.A. Khawaja: None. Background: Diabetic ketoacidosis (DKA) is a life-threatening complication of diabetes mellitus that is often managed with fluid resuscitation, insulin therapy, and correction of electrolyte imbalances. Bicarbonate therapy is commonly used to correct acidosis, but its effectiveness remains debated. This systematic review and meta-analysis aimed to assess the impact of bicarbonate therapy on clinical outcomes in DKA patients. Methods: Following the PRISMA guidelines, we performed a systematic review of studies assessing the use of bicarbonate therapy in DKA. We searched PubMed, Google Scholar, Cochrane Library, and ClinicalTrials.gov for studies published up to August 2024. Studies were included if they involved DKA patients with initial pH ≤7.30 or glucose >250 mg/dL, and compared bicarbonate therapy with standard care. Data on outcomes were extracted, including pH levels, duration of hospital stay, time to resolution of acidosis, potassium levels, and incidence of hypoglycemia. We performed a meta-analysis using RevMan, with a random-effects model for most outcomes and fixed-effects for specific analyses. The risk of bias was assessed using the Newcastle-Ottawa Scale (NOS), Cochrane's ROB-2 tool and The Joanna Briggs Institute (JBI) Scale for cohort studies, randomized controlled trials (RCTs) and case series respectively. Results: Eight studies, including 646 patients, met the inclusion criteria. The included studies were conducted in various countries and represented diverse populations, with sample sizes ranging from 20 to 232 participants. Participants' mean ages spanned from approximately 9.7 years to 45.8 years. The proportion of male participants varied significantly, from 40.6% to 54.3%. Bicarbonate therapy did not significantly improve pH levels (mean difference = -0.02, 95% CI [-0.13, 0.09], p = 0.7), time to resolution of acidosis (mean difference = 0.09 hours, 95% CI [-2.6, 2.79], p = 0.95), or potassium levels (mean difference = -0.10, 95% CI [-0.49, 0.29], p = 0.61). Bicarbonate therapy was associated with a marginally longer duration of hospital stay (mean difference = 13.63 hours, 95% CI [0.23, 27.03], p = 0.05), although the overall effect size was small. No significant difference was observed in the incidence of hypoglycemia (odds ratio = 2.62, 95% CI [0.59, 11.63], p = 0.20). High heterogeneity was observed across most outcomes, mainly due to variability in study protocols and patient populations. Conclusion: Bicarbonate therapy in DKA does not appear to provide significant clinical benefits in pH correction, resolution of acidosis, or potassium balance and may lead to a slightly prolonged hospital stay. Given the high heterogeneity of included studies, further well-designed trials are needed to establish more precise guidelines on bicarbonate use in DKA management. Presentation: Saturday, July 12, 2025

Abstract Disclosure: A. Nasir: None. F. Dehghani: None. F. Saeidifard: None. M. Ghannam: None. A. Almakadma: None. I. Idries: None. A. Esteghamat: None. R. Nieto- Martinez: None. J.I. Mechanick: None. Background: The Dysglycemia-Based Chronic Disease (DBCD) multi-morbidity care model was developed by American Association of Clinical Endocrinology to address the requirement for preventive care measures to reduce the impact of type two diabetes (T2D ) and its complications. The DBCD model consists of four distinct stages including: insulin resistance, prediabetes, T2D and vascular complication spectrum. This study assesses the prevalence and associated risk factors for each of the four DBCD stages in Iranian adults. Methods: From February 2002 to March 2020, 10,087 participants who attended clinic of Vali-Asr Hospital, Tehran, Iran, were evaluated. In total, 3,465 (34.3%) men with median age of 54.47 years and 6,629 (65.67%) women with median age of 50.2 years were included. A 10 ml blood sample was collected after an overnight fast, centrifuged, and stored at -70°C for lab evaluation to measure fasting blood sugar (FBS). Hemoglobin A1c was measured using high-performance liquid chromatography, while fasting and post-prandial glucose were assessed using enzymatic colorimetric methods. Results: Stage 1 was found in 19.7% of the population (23.2% in women and 13.1% in men), stage 2 in 17.8% of the population (19.3% in women and 14.8% in men), stage 3 in 31.4% of the population (28.2% in women and 37.5% in men), and stage 4 in 21.3% of the population (16.2% in women and 30.9% in men). DBCD stages increased significantly with age (stage 1=43.12, stage 2=51.24, stage 3=54.89, stage 4=61.51, P-value <0.01). All DBCD stages were associated with hypertension (stage 1: OR=3.07, stage 2: OR=5.08 ,stage 3: OR=7.87 and stage 4: OR=17.17) dyslipidemia (stage 1: OR=2.85, stage 2: OR=2.68, stage 3: OR=8.32, and stage 4: OR=7.66)and metabolic syndrome (stage 1: OR=14.04, stage 2: OR=21.95, stage 3: OR=32.50, and stage 4: OR=42.54). Conclusion: The findings of the current study further support the importance of the DBCD model in early detection and prevention of dysglycemia and their associated complications. Presentation: Sunday, July 13, 2025

Abstract Disclosure: J. Herndon: None. Y. Hleibiehova: None. A. Bancos: None. S. Achenbach: None. E. Atkinson: None. D. Donegan: Camarus, Recordati. I. Bancos: None. Introduction: Studies show that quality of life (QOL) among patients with adrenal insufficiency (AI) (primary (PAI) or secondary (SAI)) improves following adequate glucocorticoid replacement, however decreased QOL persists. SAI due to hypophysitis or infrequently PAI due to adrenalitis are recognized complications of immune-checkpoint-inhibitors (ICI). It is unknown if patients with ICI induced AI (ICI-AI) would report similar findings in QOL. Aim: To assess the impact of ICI-AI on specific determinants of health-related QOL (HRQOL) and compare management and outcomes to SAI due to other etiologies (oSAI). Methods: A cross-sectional survey study of adult patients who completed at least 1 AddiQOL survey with a diagnosis of ICI- AI or oSAI evaluated between 2015 and 2024 were included. Patients with opioid- or glucocorticoid-induced-AI were excluded. A study survey obtained information regarding diagnosis and treatment. Results: 112 patients with ICI-AI were included (SAI n=109, PAI n=3). Among those with ICI-AI, 59% were female, median age at diagnosis was 59.7 ±12.8 years and melanoma was the most common indication for ICI use (51%). The median time to ICI-AI diagnosis was 5.5 (range 0.3-80.8) months and 46% used combination ICI therapy. When compared to those with oSAI (n=139), patients with central ICI-AI were older at diagnosis (59 ±12.7 vs 46 ±18.1 years, p <0.01), more were female (59 vs 43%, p=0.015) and most were diagnosed in the last year (88% vs 42%, p<0.01). Those with ICI-AI received higher hydrocortisone (HC) equivalent daily doses than those with oSAI (25.1± 18.3 vs 22.1 ±16.9 mg/day, p<0.01), however there was no difference in the number of adrenal crises (AC) reported within the last year (14 vs 16, p=0.78). Patients with ICI-AI felt that emergency personnel understood their diagnosis and treated them promptly (75% vs 0% p=0.012). Logistic regression analysis of the entire group (ICI-AI + oSAI) did not identify an association between the occurrence of AC in the last year and HC dose >20 mg/day or type of glucocorticoid. Furthermore, there was no difference in number of AC per person year assessed between the ICI-AI and oSAI (0.23 ±0.5 vs 0.21 ±0.5, p= 0.4). The mean total AddiQOL score was higher in those with ICI-AI (87.2 ±13.9 vs 81.8 ±15.8, p=0.02). When adjusted for age and sex, total AddiQOL score was inversely related to number of symptoms present (r: -0.49, p<0.01; r: -0.58, p<0.01), occurrence of AC in the last year (r: -0.27, p=0.01; r: -0.33, p<0.01) and positively related to current employment (r:0.33 p<0.01 0.2,p=0.02) in ICI-AI and oSAI respectively. Conclusion: This is the first study to compare management and HRQOL in patients with ICI-AI compared to oSAI and although there were no significant differences in total number of AC events between the 2 groups, differences exist in terms of AI presentation, management and reported QOL. Presentation: Sunday, July 13, 2025

Background Challenges in predicting which neoantigens mediate tumor rejection limit the efficacy of neoantigen vaccines to treat cancers, especially for cancers with a high mutational burden like cutaneous squamous cell carcinoma (cSCC). Only a small portion of neoantigens prioritized by current methods elicit effective T cell responses, demonstrating the critical need for improved criteria for the prediction of tumor-rejecting neoantigens. Methods Publicly available human cSCC datasets were used to assess the frequency of shared mutations between patients. A transplantable ultraviolet light-induced mouse model of cSCC was generated. The mutational signature and driver mutations in the mouse model were compared with human tumors. Neoantigens were prioritized in the mouse model, and tumor-rejecting neoantigens were identified through (enzyme-linked immunosorbent spot (ELISpot) and in vivo prophylactic vaccination. Binding of the neoantigens and corresponding wild-type peptides to major histocompatibility complex (MHC) class I was determined. Structural modeling of peptide:MHC complexes was performed to assess for changes in structural characteristics of the neoantigens relative to the wild-type peptides. Results A minority of human cSCC tumors shared neoantigens. The mouse cSCC model recapitulated the mutational signature and driver mutations found in human disease and was constrained by CD8 T cells. Two MHC class I neoantigens were identified in the mouse model that constrained cSCC growth. One tumor-rejecting neoantigen exhibited improved MHC binding, and the other had increased solvent accessibility of the mutated residue, compared with wild-type. Across known neoantigens that do not impact MHC binding, increased exposure of the mutated residue distinguished tumor-rejecting from non-immunogenic neoantigens. Conclusions Given the paucity of shared mutations, this work supports the need for personalized neoantigen vaccines in cSCC. To facilitate further discovery, we provide a clinically relevant mouse cSCC model with two defined neoantigens that mediate tumor rejection. Structural changes in the exposure of features that promote T cell receptor recognition defined tumor-rejecting neoantigens. Incorporation of structural modeling to predict changes in T cell receptor accessibility is anticipated to improve the selection of neoantigens for inclusion in personalized cancer vaccines.

Abstract Disclosure: N.M. Singh Ospina: None. Y. Chen: None. F. Du: None. J.P. Brito: None. H. Shao: None. Q. Liu: None. R.G. McCoy: None. T. Jiao: None. Background: The levothyroxine dose for patients with hypothyroidism is highly correlated with weight. In patients with hypothyroidism, TSH measurements are used to assess the adequacy of levothyroxine dosing.Since type 2 diabetes (T2D) and obesity are two common comorbidities for patients with hypothyroidism, and the significant weight loss associated with Glucagon-Like Peptide-1 Receptor Agonists (GLP-1 RAs) therapy, the initiation of GLP-1 RA on levothyroxine users may significant increase the need for levothyroxine dose reduction potentially requiring additional TSH tests to assure control. Objectives: To evaluate the timing and frequency of TSH testing within one year of initiation of GLP-1, or sodium-glucose co-transporter 2 (SGLT-2) inhibitors, in patients with T2D on levothyroxine treatment. Methods: We identified a cohort of T2D patients using 15% of Medicare fee-for-service claims data from 2005 to 2020. Cohort entry was defined by the initiation of GLP-1 or SGLT2. Patients needed to continuously receive the same dose of levothyroxine for >6 months and have at least 1 TSH measurement before the index date. We excluded patients with hyperthyroidism, thyroid cancer, end-stage renal disease, HIV/AIDs, organ transplant, or who received medications that affect thyroid levels before the index date. The primary outcome was the timing and frequency of TSH testing within one year after GLP-1 RA initiation. Demographics, comorbidities, and medication use were balanced using 1:1 propensity score matching based on the index date. Results: After matching, no significant demographic differences were observed among the 2,107 patients in GLP-1 RA and SGLT-2 groups, respectively. Overall, 32.1%, 32.3%, and 35.6% were aged 65-70, 70-74, and over 75, with 69.3% female and 87.9% white. In the year before the index date, the average number of TSH tests was higher in the GLP-1 RA (1.16 ± 1.27) compared to the SGLT2 (1.07 ± 1.18, p-value: 0.001). In the year after the index date, the average number of TSH tests declined to 0.93 ± 1.18 for GLP-1 and 0.89 ± 1.13 for SGLT2 (p-value: 0.03). Most patients (48.6 vs. 49.5%) had no TSH tests, 41.3 vs. 40.6% had 1-2 tests, and 10.1 vs. 9.9% had more than 2 tests in the GLP-1 RA and SGLT-2 group, respectively. Fewer patients (32.3 vs. 33.6%) were tested within 0-6 months while the majority (67.7 vs. 66.5%) waited longer than 6 months. The relative risk of TSH testing between the GLP-1 RA group and the SGLT2 group was 1.03 (95% CI: 0.98 to 1.08) 1-year before the index date and 1.00 (95% CI: 0.94 to 1.06) 1-year after the index date. Conclusions: Despite the potential impact of GLP-1 RA on levothyroxine dosing, on average, half of patients did not receive a TSH test after treatment initiation. There were no significant differences in TSH testing patterns between GLP-1 and SGLT2 groups, with similar test frequencies and timing observed. Presentation: Saturday, July 12, 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