Citations

Abstract Disclosure: N. Safwan: None. E.R. Uddenberg: None. M.D. Hurtado: None. M. Saadedine: None. S.S. Faubion: None. O. Obrutu: None. S.L. Berga: None. M.D. Pisarska: None. C. Bairey Merz: None. C.L. Shufelt: None. Background: Functional hypothalamic amenorrhea (FHA) accounts for 30% of secondary amenorrhea due to suppression of GnRH associated hypercortisolemia resulting in chronic hypoestrogenemia. FHA occurs as a result of varying combinations of psychosocial stress, excessive exercise, and/or disordered eating. FHA is associated with decreased bone mineralization; however, it is unknown how bone health compares to older, menopausal women who also experience bone loss. We compared dual-energy x-ray absorptiometry (DXA) bone health parameters among women with FHA, eumenorrheic controls, and recently menopausal women and evaluated if previous oral contraceptive (OC) use among FHA women has an impact on bone mineral density (BMD). Methods: This cross-sectional study included 20 women with FHA, 9 eumenorrheic controls, and 12 recently menopausal women who underwent hip and spine DXA. All participants were not on hormone therapy. FHA was defined as amenorrhea >3 consecutive months, estradiol <50 pg/ml, FSH <10 mIU/L, and LH <10 mIU/L, excluding other etiologies including PCOS, prolactinoma, thyroid dysfunction, and pregnancy. Eumenorrheic controls had self-reported monthly menses confirmed with day 22-24 progesterone >3 ng/ml. Recently menopausal women had natural menopause <3 years of final menstrual period, and FSH >30 mIU/L. DXA bone health parameters were measured using Lunar iDXA (GE) including BMD from the lumbar spine (L1-L4) and hip. Statistical analysis included nonparametric testing with pairwise Wilcoxon rank sum and Kruskal Wallis, reported as median [interquartile ranges]. Results: By design, the mean age of FHA was 28 ± 6 yr, 29 ± 3 yr for controls, and 54 ± 2 yr for recently menopausal women (p<0.0001). There were no differences in weight or BMI among the groups (p=0.27, p=0.30, respectively). BMD L1-L4 differed among the three groups with 1.10 g/cm2 [1.00, 1.24] for FHA, 1.18 [1.15, 1.29] for eumenorrheic controls, and 1.02 [0.96, 1.08] for menopausal women (p=0.002). Pairwise analysis revealed a significant difference in BMD L1-L4 between FHA and controls (p=0.04) and menopausal women and controls (p=0.009, age-adjusted). However, there was no difference in BMD L1-L4 between FHA and menopausal women (p=0.08, age-adjusted). In FHA women with previous OC use, BMD L1-L4 was not different from eumenorrheic controls (p=0.20), while BMD L1-L4 differed from that of recently menopausal women (p=0.004). These differences were not observed at the hip. Conclusion: Compared to eumenorrheic controls, lumbar spine BMD in young women with FHA (mean age 28 yr) was similar to recently menopausal women (mean age 54 yr) emphasizing the profound bone impact of FHA. Previous OC use seems to mitigate FHA bone mineralization changes. Future studies should investigate if bone health differs among women with FHA based on underlying cause and if previous OC use plays a role in maintaining bone health. Presentation: 6/3/2024

Abstract Disclosure: M.D. Hurtado: None. E. Tama: None. D. Hodge: None. A. Weston: None. S. Fahad: None. K. Ruddy: None. J. Olson: None. F. Coach: None. R. Carter: None. S. D'Andre: None. A. Acosta: Consulting Fee; Self; Amgen Inc. Grant Recipient; Self; Vivus USA, Novo Nordisk. C. Shufelt: None. Background: Breast cancer (BC) is the most common cancer in women. Weight gain after treatment for early-stage BC is associated with a higher risk of recurrence. Excess adiposity is also a major risk factor for cardiovascular disease, the leading cause of non-BC related death in BC survivors. This study aimed to describe weight trends in a large cohort of BC survivors and to identify predictors of weight gain after BC diagnosis. Methods: This was a retrospective study of BC survivors from the prospectively consented Mayo Clinic Breast Cancer Registry, which has enrolled >10,000 patients seen at least once at Mayo Clinic Rochester for a BC diagnosed within the prior year. We extracted data on weights at baseline, and years 1, 4, and 6 after BC diagnosis to generate longitudinal weight trajectory curves on the change from baseline. Weights were either reported by patients in the registry questionnaires or extracted from the electronic health records. We identified BC survivors with weight gain >10% from baseline weight at years 1, 4, and 6. We then conducted univariable logistic regression analyses to identify predictors of >10% weight gain. Variables considered included: demographics, anthropometrics, BC clinical and pathologic characteristics, BRCA 1 and 2 genetic mutation status, and treatment (surgery, neoadjuvant or adjuvant chemotherapy, and/or radiotherapy). Results: We included 4744 BC survivors, mostly white (95%) and non-Hispanic (91%), with a mean age and weight at BC diagnosis of 58 ± 13 years and 76 ± 18 kg. Most patients had clinical stage I (43%) and ER+ and PR+ BC (83% and 76%, respectively). Most patients underwent breast preserving surgery (62%), half received radiation (54%), one third (36%) received systemic chemotherapy, and two thirds (61%) received endocrine therapy. At one year after BC diagnosis the average weight change was negligible compared to baseline (mean difference -0.2 ± 8 kg), but there were small but significant average increases by years 4 and 6 (0.5 ± 9 kg, p=0.002; and 0.8 ± 10 kg, p<0.001; respectively). At years 1, 4, and 6, the percentage of BC survivors gaining >10% of their baseline weight was 10%, 15%, and 18%, respectively. Baseline characteristics associated with >10% weight gain at 6 years included lower baseline weight (p<0.001), younger age at BC diagnosis (p<0.001), more advanced clinical and pathologic BC stage (p=0.008), ER+ and PR+ tumor biology (p=0.02 for both), BRCA2 mutation (p<0.001), mastectomy (compared to breast preserving surgeries, p=0.008), the use of systemic chemotherapy treatment (p<0.001), and the use of endocrine therapy (p=0.03). Conclusion: While most BC survivors do not experience weight gain after survivorship, 1 out 5 may experience excessive weight gain of more than 10%. Baseline anthropometric and BC-related variables are associated with excessive weight gain and could be used as predictors of weight gain in this population. Presentation: 6/3/2024

Abstract Disclosure: E.R. Uddenberg: None. N. Safwan: None. G. Cook-Wiens: None. O. Obrutu: None. M. Saadedine: None. M.D. Hurtado: None. S. Faubion: None. M.D. Pisarska: None. S.L. Berga: None. J.E. Manson: None. C.N. Bairey Merz: None. C.L. Shufelt: None. Background: Functional hypothalamic amenorrhea (FHA) occurs in women of reproductive age and is a common form of secondary amenorrhea that results in hypoestrogenemia and hypercortisolemia. The underlying cause of FHA is due to a mismatch between energetic intake and expenditure that often manifests as disordered eating, excessive exercise, and psychosocial stress. Previous research identified that 1 in 3 women with FHA had endothelial dysfunction, a preclinical marker for cardiovascular disease. We sought to evaluate the nutrition content in young women with FHA compared to eumenorrheic controls and further assess the relationship to endothelial dysfunction. Methods: We enrolled 30 women with FHA and 29 eumenorrheic controls, not on hormones. FHA was defined as ≥3 consecutive months of amenorrhea, estradiol <50 pg/mL, FSH<10 mIU/L, and LH<10 mIU/L, and exclusion of polycystic ovary syndrome, hyperprolactinemia, thyroid dysfunction, and pregnancy. Eumenorrheic controls had monthly menses with ovulation (progesterone ≥4 ng/mL). Vascular function was measured using EndoPAT 2000 (Itamar® Medical Ltd) to calculate the reactive hyperemic index (RHI). An RHI ≤1.67 indicates endothelial dysfunction. Nutritional intake was collected using a 3-day food diary and analyzed using ESHA Research Food Processor® Nutrition Analysis. Percent (%) recommendation values for nutrition content comparison were calculated based on height, weight, and age. Statistical analysis included Analysis of Variance and Kruskal Wallis test with nonparametric variables reported as median [IQR]. Results: The mean age and BMI of FHA and controls were 26.4 ± 6.2 yrs and 30.3 ± 3.7 yrs (p=0.008), and 21.6 ± 6.2 and 21.8 ± 2.0 kg/m2 (p=0.16), respectively. The median months of FHA amenorrhea was 12 months [5.0, 34.0]. After adjusting for age, there was no difference in caloric intakes in women with FHA compared to controls (1783.9 [1465, 2011] kcal vs. 1731.9 [1578, 1982] kcal, p=0.73); however FHA has higher intake of grams of protein (84.2 [74, 112] g vs. 74 [59, 92] g, p=0.0036), and higher grams of dietary fiber (30.1 [22, 43] g vs. 17.3 [15, 23] g, p=0.0037), respectively. In women with FHA, endothelial dysfunction was associated with a higher % recommended calories (p=0.0098), calories from fat (p=0.02), grams of saturated fat (p=0.03), and grams of carbohydrates (p=0.049). Conclusions: Our results demonstrate that women with FHA consumed similar daily calories, although more grams of protein and dietary fiber than controls. In women with FHA, higher calories, calories from fat, grams of saturated fat and carbohydrates were associated with endothelial dysfunction. Future studies should aim to identify other factors related to endothelial dysfunction among women with FHA and whether some FHA phenotypes are associated with more endothelial dysfunction than others. Presentation: 6/1/2024

Abstract Disclosure: E. Tama: None. R. Rivera: None. S. Fansa: None. D. Anazco: None. W. Ghusn: None. S. Faubion: None. A. Acosta: Consulting Fee; Self; Amgen Inc. Grant Recipient; Self; Vivus USA, Novo Nordisk. C. Shufelt: None. M.D. Hurtado: None. Introduction: Midlife women (ages 40 to 65) experience age-related weight gain (0.4-0.7 kg/year) due to physiologic and psychosocial changes. Evidence supports that age-related decrease in lean mass and its subsequent effect on energy expenditure are key physiologic factors. To date, the are no data describing if changes in the main regulators of energy intake (i.e., hunger, satiation, and satiety) across women’s lifespan play a role in weight gain during midlife. The aim of this study is to characterize measurements of satiation, satiety, and appetite sensations through early adulthood and midlife in women with obesity. Methods: This is a cross sectional study of women aged 19-65 with overweight or obesity who have undergone measurements of (i) body composition by DXA scan; (ii) resting energy expenditure (REE) by indirect calorimetry; (iii) satiation by calories consumed to satiation (CTS) during an ad libitum meal test; (iv) satiety by time needed to empty 50% of the stomach content (GEt1/2) in a gastric emptying study and plasma satiety hormone levels (PYY, GLP-1, and CCK); and (v) appetite sensations by visual analog scales (VAS) for hunger and fullness. We present data as mean ± standard deviation. We performed simple correlations between these variables and age. We performed multiple regression analyses to adjust for body composition and REE. Results: Our cohort included 552 mostly white (93%) women, with a mean age of 41±11 years and a mean BMI of 37±7 kg/m2. Increased age significantly correlated with higher waist circumference (r=0.1, p=0.006), waist/hip ratio (r=0.1, p=0.01), and total fat mass % (r=0.1, p=0.04); and with lower lean mass % (r=-0.1, p=0.04) and REE (r=-0.3, p<0.0001). Increased age was associated with decreased hunger sensation (i.e., lower preprandial VAShunger after an overnight fast, r=-0.1, p=0.04; and lower postprandial VAShunger 4hr after a standardized 320-kcal breakfast, r=-0.1, p=0.001), stronger satiation (i.e., lower CTS, r=-0.1, p=0.001), and more prolonged satiety (i.e., higher GEt1/2, r=0.1, p=0.02; higher postprandial GLP-1 levels, r=0.1, p=0.03; and higher postprandial VASfullness after and ad libitum meal, p=0.1, p=0.008). After adjusting for lean mass % and REE, the correlations between age and hunger sensations and satiation measurement, but not satiety measurements, were maintained. Conclusion: Our results show that older women have lower lean mass % and REE. After adjusting for these variables, older women experience decreased hunger sensation and achieve satiation with a lower number of calories. As these changes in theory would protect against midlife weight gain, the differences in body composition and REE remain the most likely culprit. Further research is necessary to investigate if there are other key factors that may contribute to weight gain such as the hedonic or emotional components of food intake. Presentation: 6/2/2024

Abstract Disclosure: E.R. Uddenberg: None. N. Safwan: None. G. Cook-Wiens: None. O. Obrutu: None. M. Saadedine: None. M.D. Hurtado: None. S. Faubion: None. M.D. Pisarska: None. S.L. Berga: None. J.E. Manson: None. C.N. Bairey Merz: None. C.L. Shufelt: None. Background: Functional hypothalamic amenorrhea (FHA) occurs in women of reproductive age and is a common form of secondary amenorrhea that results in hypoestrogenemia and hypercortisolemia. The underlying cause of FHA is due to a mismatch between energetic intake and expenditure that often manifests as disordered eating, excessive exercise, and psychosocial stress. Previous research identified that 1 in 3 women with FHA had endothelial dysfunction, a preclinical marker for cardiovascular disease. We sought to evaluate the nutrition content in young women with FHA compared to eumenorrheic controls and further assess the relationship to endothelial dysfunction. Methods: We enrolled 30 women with FHA and 29 eumenorrheic controls, not on hormones. FHA was defined as ≥3 consecutive months of amenorrhea, estradiol <50 pg/mL, FSH<10 mIU/L, and LH<10 mIU/L, and exclusion of polycystic ovary syndrome, hyperprolactinemia, thyroid dysfunction, and pregnancy. Eumenorrheic controls had monthly menses with ovulation (progesterone ≥4 ng/mL). Vascular function was measured using EndoPAT 2000 (Itamar® Medical Ltd) to calculate the reactive hyperemic index (RHI). An RHI ≤1.67 indicates endothelial dysfunction. Nutritional intake was collected using a 3-day food diary and analyzed using ESHA Research Food Processor® Nutrition Analysis. Percent (%) recommendation values for nutrition content comparison were calculated based on height, weight, and age. Statistical analysis included Analysis of Variance and Kruskal Wallis test with nonparametric variables reported as median [IQR]. Results: The mean age and BMI of FHA and controls were 26.4 ± 6.2 yrs and 30.3 ± 3.7 yrs (p=0.008), and 21.6 ± 6.2 and 21.8 ± 2.0 kg/m2 (p=0.16), respectively. The median months of FHA amenorrhea was 12 months [5.0, 34.0]. After adjusting for age, there was no difference in caloric intakes in women with FHA compared to controls (1783.9 [1465, 2011] kcal vs. 1731.9 [1578, 1982] kcal, p=0.73); however FHA has higher intake of grams of protein (84.2 [74, 112] g vs. 74 [59, 92] g, p=0.0036), and higher grams of dietary fiber (30.1 [22, 43] g vs. 17.3 [15, 23] g, p=0.0037), respectively. In women with FHA, endothelial dysfunction was associated with a higher % recommended calories (p=0.0098), calories from fat (p=0.02), grams of saturated fat (p=0.03), and grams of carbohydrates (p=0.049). Conclusions: Our results demonstrate that women with FHA consumed similar daily calories, although more grams of protein and dietary fiber than controls. In women with FHA, higher calories, calories from fat, grams of saturated fat and carbohydrates were associated with endothelial dysfunction. Future studies should aim to identify other factors related to endothelial dysfunction among women with FHA and whether some FHA phenotypes are associated with more endothelial dysfunction than others. Presentation: 6/1/2024

Cardiovascular disease (CVD) is a significant health concern influenced by various determinants. Stigma and resilience have emerged as factors in CVD development and management. Women with HIV (WWH) have higher CVD rates than women without HIV. To improve cardiovascular health for WWH, a comprehensive understanding of how these factors interact, the understanding about individual awareness and willingness to engage in risk-reduction interventions are needed. Methods: As part of a study examining CVD risk among WWH aged >35 years old, 90-min focus groups were conducted (May 2022) in the English language. Focus groups aimed to elicit participants’ CVD risk knowledge and potential prevention strategies. Transcripts underwent a qualitative analysis. Results: Nineteen WWH participated in three focus groups. Participants experienced the following: (a) enacted stigma related to their HIV diagnosis (e.g., family, church member, healthcare staff); (b) a recent event (e.g., hospitalization of self/family, death in family, chest pain) triggered both heart health-promoting lifestyle changes and suboptimal health behaviors (e.g., COVID-19 pandemic: unhealthy snacking). Participants wanted to obtain more knowledge (“on a mission”) about CVD risk. In total, 100% expressed willingness to take medication or embark on other lifestyle changes to prevent future CVD events. Although participants identified preventative heart health behaviors (e.g., eating healthy foods; exercising; limiting stress, substances, and smoking), misconceptions were also identified (e.g., “catching” heart disease). Conclusions: Understanding the interplay of the different factors related to heart health is needed both at the provider and the patient level to inform interventions that reduce CVD risk amongst racial/ethnic minoritized women with HIV, living in the Southern region of the US.

Abstract Objective People living with HIV have an increased risk of heart failure (HF). There are different subtypes of HF. Knowledge about the factors differentiating HF subtypes in people with HIV is limited but necessary to guide preventive measures and treatment. Methods A retrospective review of medical records was undertaken in people with HIV aged ≥18 years who received care at the University of Miami/Jackson Memorial HIV Clinic between January 2017 and November 2019 ( N = 1166). Patients with an echocardiogram available for review ( n = 305) were included. HF was defined as a documented diagnosis of any HF subtype ( n = 52). We stratified those with HF by their ejection fraction (EF) into HF with preserved EF (HFpEF), HF with borderline EF, or HF with reduced EF (HFrEF). Results The prevalence of HF was 4.5%. The cohort included 46.2% females and 75% self‐identified African Americans. Those with HF had a higher prevalence of hypertension, prior myocardial infarction, angina, coronary artery disease, percutaneous coronary intervention, coronary artery bypass grafting, diastolic dysfunction, and left ventricle hypertrophy. People with HIV with HF with borderline EF exhibited more coronary artery disease than those with HFpEF. Conclusions We characterize HF in people with HIV in South Florida and report the prevalence of HF and HF subtypes. Only a small percentage of patients had echocardiograms performed, suggesting an ongoing need for recognition of the increased risk of HF in people living with HIV, and raising the concern about lack of awareness contributing to underdiagnosis and missed treatment opportunities in this population.

Abstract Objective The aim of this study is to assess whether clinical and imaging characteristics are associated with the hormonal subtype, growth, and adrenalectomy for incidental adrenal cortical adenomas (ACAs). Design This is a single-center cohort study. Methods Consecutive adult patients with incidental ACA were diagnosed between 2000 and 2016. Results Of the 1516 patients with incidental ACA (median age 59 years, 62% women), 699 (46%) had nonfunctioning adenomas (NFAs), 482 (31%) had mild autonomous cortisol secretion (MACS), 62 (4%) had primary aldosteronism (PA), 39 (3%) had Cushing syndrome, 18 (1%) had PA and MACS, and 226 (15%) had incomplete work-up. Age, sex, tumor size, and tumor laterality, but not unenhanced computed tomography Hounsfield units (HU), were associated with hormonal subtypes. In a multivariable analysis, ≥1 cm growth was associated with younger age (odds ratio [OR] = 0.8 per 5-year increase, P = .0047) and longer imaging follow-up (OR = 1.2 per year, P < .0001). Adrenalectomy was performed in 355 (23%) patients, including 38% of MACS and 15% of NFA. Adrenalectomy for NFA and MACS was more common in younger patients (OR = 0.79 per 5-year increase, P = .002), larger initial tumor size (OR = 2.3 per 1 cm increase, P < .0001), ≥1 cm growth (OR = 15.3, P < .0001), and higher postdexamethasone cortisol (OR = 6.6 for >5 vs <1.8 μg/dL, P = .002). Conclusions Age, sex, tumor size, and laterality were associated with ACA hormonal subtype and can guide diagnosis and management. Tumor growth was more common with younger age and longer follow-up. Unenhanced HU did not predict hormonal subtype or growth. Adrenalectomy for MACS and NFA was mainly performed in younger patients with larger tumor size, growth, and elevated postdexamethasone cortisol.

Abstract Satiation is the physiologic process that regulates meal size and termination, and it is quantified by the calories consumed to reach satiation. Given its role in energy intake, changes in satiation contribute to obesity's pathogenesis. Our study employed a protocolized approach to study the components of food intake regulation including a standardized breakfast, a gastric emptying study, appetite sensation testing, and a satiation measurement by an ad libitummeal test. These studies revealed that satiation is highly variable among individuals, and while baseline characteristics, anthropometrics, body composition and hormones, contribute to this variability, these factors do not fully account for it. To address this gap, we explored the role of a germline polygenic risk score, which demonstrated a robust association with satiation. Furthermore, we developed a machine-learning-assisted gene risk score to predict satiation and leveraged this prediction to anticipate responses to anti-obesity medications. Our findings underscore the significance of satiation, its inherent variability, and the potential of a genetic risk score to forecast it, ultimately allowing us to predict responses to different anti-obesity interventions.

Abstract Aims To compare weight loss outcomes between patients starting semaglutide who had previously been on another anti‐obesity medication (AOM) compared to those who were AOM‐naïve. Materials and Methods We performed a retrospective study in patients with overweight or obesity taking semaglutide for weight loss for a duration of 3 to 12 months. Our primary endpoint was assessment of percentage of total body weight loss (TBWL) in patients who started semaglutide as their first AOM (AOM‐naïve) compared to those who started semaglutide and had previously taken another AOM (non‐AOM‐naïve). The secondary outcome was a comparison of the proportions of patients achieving ≥5%, ≥10%, ≥15% and ≥20% TBWL between the groups. Our endpoints were analysed using independent t ‐tests and ANOVA/ANCOVA for continuous variables and Pearson's test for categorical variables. Results This study included 305 patients. Outcomes of semaglutide treatment were superior in AOM‐naïve patients ( n = 231) compared to non‐AOM‐naïve patients ( n = 74) at 3 (6.3% vs. 3.8%), 6 (10.6% vs. 6.7%), 9 (14.0% vs. 9.1%) and 12 months (14.3% vs. 10.6%; p < 0.0001 at 3, 6 and 9 months, and p = 0.01 at 12 months). A greater proportion of patients in the AOM‐naïve group achieved a TBWL ≥ 15% (48% vs 21%; p = 0.02) and ≥20% (27% vs 4% p < 0.01) at 12 months. Conclusion The use of semaglutide in patients with previous intake of other AOMs was associated with inferior weight loss outcomes in comparison to patients who were AOM‐naïve.