Weight loss response to semaglutide in postmenopausal women with and without hormone therapy use.

OBJECTIVE: To compare weight loss response and changes in cardiometabolic risk markers in postmenopausal women using semaglutide with and without menopause hormone therapy (HT) use. METHODS: Retrospective cohort study of postmenopausal women treated with semaglutide for overweight or obesity for ≥3 months. Endpoints: total body weight loss percentage (TBWL%) at 3, 6, 9, and 12 months after semaglutide initiation; and percentage of women achieving ≥5% and ≥10% TBWL and changes in cardiometabolic risk markers (glucose, blood pressure, and lipids) at 12 months. RESULTS: There were 16 women on HT and 90 on no-HT; mean age 56 ± 8 vs 59 ± 8 yr, P = 0.2 and mean BMI 36 ± 5 vs 39 ± 8 kg/m 2 , P = 0.1; respectively. Among women on no-HT, White race, dyslipidemia, and depression were more prevalent. Women on HT had a higher TBWL% at 3, 6, 9, and 12 months: 7 ± 3% vs 5 ± 4%, P = 0.01; 13 ± 6% vs 9 ± 5%, P = 0.01; 15 ± 6% vs 10 ± 6%, P = 0.02; and 16 ± 6% vs 12 ± 8%, P = 0.04; respectively. After adjusting for potential confounders, this association remained significant across time. At 12 months, a greater percentage of women on HT achieved ≥5% and ≥10% TBWL. Both groups experienced an improvement in cardiometabolic risk markers. CONCLUSION: In postmenopausal women with overweight or obesity treated with semaglutide, HT use was associated with an improved weight loss response. This association was maintained when adjusted for confounders. Larger studies should be conducted to confirm these results.

The association between previous use of anti-obesity medication and semaglutide weight loss outcomes.

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.

Weight loss and cardiovascular disease risk outcomes of semaglutide: a one-year multicentered study.

BACKGROUND/OBJECTIVE: There are limited real-world studies assessing semaglutide weight loss and associated comorbidity and metabolic outcomes over periods ≥ 6 months. We aim to assess weight loss, metabolic, and cardiovascular outcomes of 12 months of semaglutide. SUBJECT/METHODS: We conducted a multicentered retrospective cohort study on semaglutide use. We included patients with a body-mass index (BMI) ≥ 27 kg/m2 who were prescribed weekly semaglutide subcutaneous injections. We excluded patients with bariatric surgeries, taking other anti-obesity medications, and with active malignancy or pregnancy. A total of 1023 patients had semaglutide prescription for obesity. INTERVENTION/METHODS: We assessed weight loss outcomes of subcutaneous semaglutide for 12 months. The primary endpoint was total body weight loss percentage (TBWL%) at 12 months. Secondary endpoints included proportion of patients achieving ≥5%, ≥10%, ≥15%, and ≥20% weight loss, and improvements in metabolic, cardiovascular, and comorbidities after 12 months of follow-up. RESULTS: We included 304 patients (73% female, 93% White, mean age 48.8 [12.4] years, BMI 40.9 [9.6] kg/m2) in the analysis. Patients achieved a TBWL of 13.4 (8.0)% at 12 months (p < 0.001 from baseline). Patients without T2DM achieved a TBWL of 16.9 (6.9)% compared to 9.9 (8.4)% in patients without T2DM at 12 months on the higher doses of semaglutide (p < 0.001 from baseline). In this cohort, 81% achieved ≥5%, 64% achieved ≥10%, 41% achieved ≥15%, and 22% achieved ≥20% TBWL at 12 months. Patients with overweight or obesity experienced significant improvements in metabolic, lipid profile, blood pressure, liver function tests, and cardiovascular disease risk outcomes. CONCLUSIONS: Semaglutide demonstrated notable improvement in obesity, metabolic, and cardiovascular disease risk outcomes in a clinical setting.

Cumulative effect of obesity phenotypes on body weight and body mass index.

BACKGROUND: Obesity originates from an imbalance between energy intake and expenditure. Changes in energy intake components (satiation, postprandial satiety, emotional eating) and energy expenditure have been linked to obesity and are referred to as obesity phenotypes. We aim to study if these obesity phenotypes have a cumulative effect on body weight and body mass index (BMI). SUBJECT/METHODS: This is a cross-sectional study of adult patients with obesity (BMI > 30 kg/m2) who completed the validated tests to measure the obesity phenotypes. A total of 464 were included in this study. INTERVENTIONS/METHODS: We defined higher calories to fullness during an ad libitum meal as abnormal satiation, accelerated time to half gastric emptying with scintigraphy as abnormal postprandial satiety, higher anxiety score on the Hospital Anxiety and Depression Scale as hedonic eating behavior, and decreased percentage of measured resting energy expenditure as abnormal energy expenditure. The primary analysis was done on the number of phenotypes ( ≤ 1 and ≥ 2) with body weight and BMI using an independent t-test. RESULTS: Our cohort included 464 patients (mean [SD] age 42.0 [10.9] years, 79% females, weight 111.2 [22.9] kg, BMI 38.9 [7.0] kg/m2). There were 294 patients who had ≤ 1 phenotype, and 170 patients with ≥ 2 phenotypes with no baseline demographical differences (i.e., age and sex). Having ≥ 2 phenotypes was associated with higher body weight (115 [25] kg vs. 109 [21] kg; p = 0.004), BMI (40 [8] kg/m2 vs. 38 [7] kg/m2; p = 0.02) and waist (118 [15] cm vs. 115 [13] cm; p = 0.04) and hip (129 [14] cm vs. 125 [13] cm; p = 0.01) circumferences compared to ≤ 1 phenotype. CONCLUSION: Obesity phenotypes are associated with an additive effect on the body weight and BMI. Patients who have multiple obesity phenotypes may require a more aggressive approach to enhance weight loss.

The relation between excess adiposity and breast cancer in women: Clinical implications and management.

BACKGROUND: Breast cancer (BC) is the most common cancer in women. While the combination of improved screening, earlier detection, and advances in therapeutics has resulted in lower BC mortality, BC survivors are now increasingly dying of cardiovascular disease. Cardiovascular disease in the leading cause of non-cancer related mortality among BC survivors. This situation underscores the critical need to research the role of modifiable cardiometabolic risk factors, such as excess adiposity, that will affect BC remission, long-term survivorship, and overall health and quality of life. PURPOSE: First, this review summarizes the evidence on the connection between adipose tissue and BC. Then we review the data on weight trends after BC diagnosis with a focus on the effect of weight gain on BC recurrence and BC- and non-BC-related death. Finally, we provide a guide for weight management in BC survivors, considering the available data on the effect of weight loss interventions on BC.

Severe Insulin Resistance in a Patient Treated With Nivolumab and Brentuximab-Vedotin for Hodgkin Lymphoma.

This is a case of a 26-year-old male patient, with relapsing Hodgkin lymphoma, treated with nivolumab and brentuximab-vedotin, who was admitted with hyperglycemia and severe insulin resistance requiring approximately 2000 units of intravenous insulin per day. He had no prior diagnosis of diabetes. He was eventually diagnosed with massive cytokine release and hemophagocytic lymphohistiocytosis that led to multi-organ failure and death. The mechanisms behind the hyperglycemia with severe insulin resistance remain unclear but are possibly related to hyperinflammation and immune dysregulation resulting from massive cytokine release. Nivolumab among other immunotherapeutic agents, brentuximab-vedotin, and lymphoid malignancies are rare but known risk factors for massive cytokine release and hemophagocytic lymphohistiocytosis.

A False Pituitary Tumor.

A false pituitary tumor describes pituitary enlargement due to intracranial hypotension. Reported previously primarily in the neurological literature, we present this case referred to endocrinology for evaluation of a pituitary mass. A 24-year-old male was referred to endocrinology for evaluation of pituitary enlargement without a hypo-enhancing lesion on magnetic resonance imaging (MRI). The main symptom reported was headache that was worse in the standing position and in the afternoon. He had no symptoms or signs of pituitary mass-effect, or hormone excess or deficiencies. Past medical history was relevant for a history of nerve schwannoma status post resection with subsequent spinal fusion. Biochemical evaluation of pituitary hormones was normal. Upon review of his pituitary MRI, other abnormalities seen were suggestive of intracranial hypotension. Based on his history and imaging findings, he was diagnosed with intracranial hypotension causing a "false pituitary tumor" rather than pituitary enlargement or abnormality. Further evaluation revealed multiple spinal leaks that were patched. His symptoms subsided within a few days of repair. Endocrinologists should be aware of the possible misdiagnosis of a pituitary mass due to intracranial hypotension.

Efficacy of Antiobesity Medications in Patients With Celiac Disease on a Gluten-free Diet: A Retrospective Matched Cohort Study.

GOALS: We aim to describe the weight loss outcomes of patients with celiac disease (CeD) taking antiobesity medications (AOMs) and compare it with the weight loss outcomes of patients without CeD taking AOMs. BACKGROUND: Increasing rates of obesity and obesity-associated comorbidities have been previously reported in patients with CeD on a gluten-free diet. The effectiveness of AOMs in this population has not been previously described. METHODS: In our retrospective cohort study, we matched 39 patients with treated CeD to 78 patients without CeD based on sex and AOM. We assessed the weight loss outcomes at 3, 6, and 12 months after starting the AOM in both cohorts and analyzed if there was a differential response when comparing by type of AOM [injectable glucagon-like peptide 1 (GLP-1) receptor agonists vs. oral non-GLP-1 AOMs]. RESULTS: Both cohorts had similar baseline demographic and anthropometric characteristics. At 12 months, the CeD cohort had a nonsignificantly inferior total body weight loss percentage compared with the cohort without CeD (6.5% vs. 9.5%, P=0.13). The CeD cohort had a similar proportion of patients achieving a total body weight loss percentage of ≥5% than the cohort without CeD (72.7% vs. 72.1%, P=1.00). No significant difference was observed when comparing the weight loss outcomes of injectables (GLP-1 receptor agonists) to oral AOMs. The proportion of patients reporting side effects was similar for both groups, regardless of the type of AOM. CONCLUSION: Patients with CeD taking AOMs had similar weight loss outcomes to patients without CeD. Hence, AOMs can be a safe and effective therapy for weight management in patients with CeD.

Type 2 Diabetes Remission in Patients with Heterozygous Variants in the Leptin-Melanocortin Pathway after Roux-en-Y Gastric Bypass: A Matched Case-Control Study.

BACKGROUND: Roux-en-Y gastric bypass (RYGB) is associated with a high rate of type 2 diabetes (T2D) remission. Carriers of heterozygous variants in the leptin-melanocortin pathway (LMP) are more likely to experience weight recurrence after RYGB. Our aim was to investigate if carrier status and associated weight regain affects the rate of T2D remission after RYGB. METHODS: Carriers of LMP variants with a diagnosis of T2D prior to RYGB (N = 16) were matched to non-carriers (N = 32) based on sex, age, and BMI. We assessed for post-operative T2D remission status post-surgery on a yearly basis, for up to 15 years. Our primary endpoint was the proportion of patients achieving T2D remission at 1 year. We conducted a survival analysis for all patients that achieved remission at least at one time-point to evaluate for maintenance of T2D remission by using a log-rank test. RESULTS: Both carriers and non-carriers had similar baseline and procedural characteristics. The proopiomelanocortin gene in the LMP pathway had the most variants (n = 5, 31%). Carriers had a lower total body weight loss percentage at nadir (28.7% ± 6.9) than non-carriers (33.7% ± 8.8, p = 0.04). The proportion of patients achieving T2D remission at 1 year was 68.8% for carriers and 71.9% for non-carriers (p = 1.0). Survival curves for maintenance of first remission were similar for both groups (p = 0.73), with a median survival of 8 years for both carriers and non-carriers. CONCLUSIONS: Despite inferior weight loss outcomes at nadir, carriers had similar T2D remission rates when compared to non-carriers. Weight-independent metabolic benefits of RYGB might contribute to this observation.