Distinguishing health-related parameters between metabolically healthy and metabolically unhealthy obesity in women.

BACKGROUND: Obesity represents a global health crisis, yet a dichotomy is emerging with classification according to the metabolic state into metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO). This study aimed to identify distinctive systemic clinical/endocrinological parameters between MHO individuals, employing a comprehensive comparative analysis of 50 biomarkers. Our emphasis was on routine analytes, ensuring cost-effectiveness for widespread use in diagnosing metabolic health. SUBJECTS/METHODS: The study included 182 women diagnosed with obesity referred for bariatric surgery at the Endocrinology, Diabetes, and Metabolism Service of São João Hospital and University Centre in Portugal. MUO was defined by the presence of at least one of the following metabolic disorders: diabetes, hypertension, or dyslipidemia. Patients were stratified based on the diagnosis of these pathologies. RESULTS: Significantly divergent health-related parameters were observed between MHO and MUO patients. Notable differences included: albumin (40.1 ± 2.2 vs 40,98 ± 2.6 g/L, p value = 0.017), triglycerides (110.7 ± 51.1 vs 137.57 ± 82.6 mg/dL, p value = 0.008), glucose (99.49 ± 13.0 vs 119.17 ± 38.9 mg/dL, p value < 0.001), glycated hemoglobin (5.58 ± 0.4 vs 6.15 ± 1.0%, p value < 0.001), urea (31.40 ± 10.0 vs 34.61 ± 10.2 mg/dL, p value = 0.014), total calcium (4.64 ± 0.15 vs 4.74 ± 0.17 mEq/L, 1 mEq/L = 1 mg/L, p value < 0.001), ferritin (100.04 ± 129.1 vs 128.55 ± 102.1 ng/mL, p value = 0.005), chloride (104.68 ± 1.5 vs 103.04 ± 2.6 mEq/L, p value < 0.001), prolactin (13.57 ± 6.3 vs 12.47 ± 7.1 ng/mL, p value = 0.041), insulin (20.36 ± 24.4 vs 23.87 ± 19.6 µU/mL, p value = 0.021), c peptide (3.78 ± 1.8 vs 4.28 ± 1.7 ng/mL, p value = 0.003), albumin/creatinine ratio (15.41 ± 31.0 vs 48.12 ± 158.7 mg/g creatinine, p value = 0.015), and whole-body mineral density (1.27 ± 0.1 vs 1.23 ± 0.1 g/cm2, p value = 0.016). CONCLUSIONS: Our findings highlight potential additional parameters that should be taken into consideration alongside the commonly used biomarkers for classifying metabolic health in women. These include albumin, urea, total calcium, ferritin, chloride, prolactin, c-peptide, albumin-creatinine ratio, and whole-body mineral density. Moreover, our results also suggest that MHO may represent a transitional phase preceding the development of the MUO phenotype.

Effects of Bariatric Surgery on Sarcopenic Obesity Outcomes: A One-Year Prospective Study in Middle-Aged Women.

INTRODUCTION: Sarcopenic obesity (SO) is characterised by the confluence of muscle deterioration and high adiposity. When non-surgical interventions prove insufficient, bariatric surgery (BS) becomes the primary approach. This study aimed to address BS effects on SO outcomes 1 year post-surgery among middle-aged women, also considering physical exercise's impact. METHODS: Prospective single-centre study of 140 patients who underwent Roux-en-Y gastric bypass or sleeve gastrectomy between November 2019 and December 2022. Participants were categorised into tertiles according to SO's diagnosis and severity (group 1-patients with the most severe SO; group 2-intermediate; group 3-the least severe or without SO), calculated considering the consensus issued by ESPEN and EASO in 2022. Evaluations of clinical and biochemical parameters were conducted before and 12 months after BS, and the variation was used for comparative purposes. Body composition was assessed using bone density scans. Linear regression analysis accounted for both surgery type and baseline body mass index (BMI). RESULTS: Before BS, SO prevalence in the overall sample was 89.3%, decreasing to 2.9% after BS. Group 1 had more body fat mass (56.9 vs 54.8 vs 50.7 kg, p < 0.001), total, trunk and leg fat at baseline and a significantly lower total skeletal muscle mass (47.2 vs 49.4 vs 51.8 kg, p < 0.001). One year post-BS, group 1 presented more weight loss (- 39.8 ± 11.4 kg, p = 0.031), BMI reduction (- 15.9 ± 4.6 kg/m2, p = 0.005) and lost more fat mass (- 32.6 vs - 30.5 vs - 27.9 kg, p = 0.005), but not total skeletal muscle mass (- 5.8 vs - 5.9 vs - 6.8 kg, p = 0.130). Remission rates for comorbidities were substantial among all groups, but more marked among patients within group 1 (type 2 diabetes mellitus 75%, hypertension 47.1% and dyslipidemia 52.8%). Engagement in physical exercise of any kind has increased post-BS (33.1% vs 79.1%). CONCLUSION: Despite concerns about malabsorptive mechanisms potentially worsening muscle loss, patients with the most severe SO undergoing BS lost more fat mass while experiencing the smallest reduction in total skeletal muscle mass. Remission rates for comorbidities following BS were notable among all groups.

Prediabetes remission after bariatric surgery: a 4-years follow-up study.

BACKGROUND: Bariatric surgery leads to weight loss and to cardiometabolic risk improvement. Although prediabetes remission after bariatric surgery is biologically plausible, data on this topic is scarce. We aimed to assess prediabetes remission rate and clinical predictors of remission in a 4 year follow up period. METHODS: Observational longitudinal study including patients with obesity and prediabetes who had undergone bariatric surgery in our centre. Prediabetes was defined as having a baseline glycated haemoglobin (A1c) between 5.7% and 6.4% and absence of anti-diabetic drug treatment. We used logistic regression models to evaluate the association between the predictors and prediabetes remission rate. RESULTS: A total of 669 patients were included, 84% being female. The population had a mean age of 45.4 ± 10.1 years-old, body mass index of 43.8 ± 5.7 kg/m2, and median A1c of 5.9 [5.8, 6.1]%. After bariatric surgery, prediabetes remission rate was 82%, 73%, 66%, and 58%, respectively in the 1st, 2nd, 3rd, and 4th years of follow-up. Gastric sleeve (GS) surgery was associated with higher prediabetes remission rate than Roux-en-Y gastric bypass surgery in the 3rd year of follow-up. Men had a higher remission rate than women, in the 1st and 3nd years of follow-up in the unadjusted analysis. Younger patients presented a higher remission rate comparing to older patients in the 3rd year of follow-up. CONCLUSION: We showed a high prediabetes remission rate after bariatric surgery. The remission rate decreases over the follow-up period, although most of the patients maintain the normoglycemia. Prediabetes remission seems to be more significant in patients who had undergone GS, in male and in younger patients.

Gender Dysphoria in a Patient With Ovotesticular Disorder of Sex Development.

Ovotesticular disorder of sex development (OT-DSD) is a rare condition characterized by the presence of both ovarian and testicular tissue in the gonads. Management and sex designation of these patients depend on several factors, and an underlying potential for gender dysphoria should be acknowledged. We present a case of a patient diagnosed with 46,XX OT-DSD at 12 months old who was attributed a female sex designation but started manifesting gender dysphoria during adolescence. Gender identity is an important factor to consider on long-term follow-up of OT-DSD patients.

COVID-19 Lockdown and Impact on 2-Year Weight Loss in a Bariatric Center.

INTRODUCTION: The COVID-19 pandemic has led to a worldwide lockdown, which affected physical exercise habits, as well as having a detrimental effect on psychological health and follow-up visits of patients submitted to bariatric surgery. The aim of this study was to evaluate the impact of COVID-19 lockdown on the 2-year weight loss of patients submitted to bariatric surgery in our center. METHODS: This was an observational study comparing the weight loss of patients who underwent bariatric surgery from January to March 2020 with a control group submitted to surgery between January and March 2017. Percentage of total weight loss (% TWL) and excess weight loss (% EWL) were assessed 6, 12, and 24 months after surgery. RESULTS: A total number of 203 patients were included in this study, 102 had bariatric surgery during the selected period in 2020 and 101 underwent surgery during the same period in 2017. There was no statistically significant difference in weight loss between the 2017 and 2020 groups which was reported as % TWL (mean 27.08 ± 7.530 vs. 28.03 ± 7.074, 33.87 ± 8.507 vs. 34.07 ± 8.979 and 34.13 ± 9.340 vs. 33.98 ± 9.993; p = 0.371) and % EWL (mean 66.83 ± 23.004 vs. 69.71 ± 17.021, 83.37 ± 24.059 vs. 84.51 ± 21.640 and 83.47 ± 24.130 vs. 84.27 ± 23.651; p = 0.506) at 6, 12, and 24 months post-surgery. CONCLUSION: Despite social limitations imposed by the COVID-19 lockdown, we found no significant difference between weight loss at 2 years postoperatively in the 2020 group when compared with a control group who underwent bariatric surgery in 2017. These results show that the outcomes of bariatric surgery during the COVID-19 lockdown were comparable with those recorded before the pandemic, supporting the efficacy of bariatric procedures' metabolic effects during the first 2 years after surgery, regardless of lifestyle habits.

Waist-to-Hip Ratio and Inflammatory Parameters Are Associated with Risk of Non-Alcoholic Fatty Liver Disease in Patients with Morbid Obesity.

Non-alcoholic fatty liver disease (NAFLD) is associated with several other metabolic disorders, which are typically pro-inflammatory states. Body fat content is an important marker of metabolic health and abdominal fat is associated with harmful cardiometabolic outcomes. We aimed to evaluate the association between the risk of NAFLD (through Fatty Liver Index (FLI), and BMI, AST/ALT ratio, and presence of diabetes (BARD)), and anthropometric parameters, predictors of metabolic status, in patients with morbid obesity, and to evaluate the association of FLI and BARD scores with pro-inflammatory markers. We have retrospectively studied patients with morbid obesity followed in our center. In total, 2184 participants were included, with an average age of 42.8 ± 10.6 years, 84.5% being females. We report a positive association of FLI with waist circumference (ß = 0.10 [0.09 to 0.11], p < 0.01) and waist-to-hip ratio (ß = 8.68 [6.85 to 10.52, p < 0.01]), even after adjusting for age, sex, body mass index, diabetes, and dyslipidemia (p < 0.01 for both adjusted models). The associations of BARD with anthropometric measures were significant only in the non-adjusted model. There was a positive association between both FLI and BARD and C-reactive protein. Our results point towards a positive association between waist-to-hip ratio and the risk of hepatic steatosis, and between pro-inflammatory markers and both hepatic steatosis and fibrosis.