Short-term Weight Trajectory of Severely Obese Individuals With and Without Pathogenic Satiety-Regulation Melanocortin 3/4 Receptor (MC3/4R) Mutations From a Multi-ethnic Asian Large Bariatric Surgery Program.

The melanocortin (3 or 4) receptor (MC3/4R) is involved in regulating satiety and body weight. Therefore, pathogenic mutation in MC3/4R is associated with severe obesity, for which bariatric surgery is one of the treatment options. However, there is limited data on whether individuals with MC3/4R mutation will have differential weight response to surgery, especially among the Asian populations-the epi-center of the evolving global obesity epidemic. From our large prospective Obesity-Metabolism & Intervention Cohort Study (OMICS; N = 654, recruited between 2007 and 2022), 5 individuals with pathogenic MC3/4R mutations ("case") were identified using candidate-genes panel next-generation sequencing (Illumina iSeq). These subjects were carefully propensity score-matched (baseline body mass index [BMI], age, sex, ethnicity, proportion with diabetes, type of bariatric surgery) in a 1:4 ratio to other controls. We performed linear mixed model analysis (for repeated measurements) to compare their longitudinal weight trajectories (percentage total weight loss, %TWL) over 12 months. The 5 cases with MC3/4R mutations were 48 ± 11 years, BMI 40.8 ± 11.2 kg/m2, 60% with diabetes, and all males. Their weight at baseline (pre-op), and 6 months and 12 months after surgery were 120 ± 38, 100 ± 31, and 101 ± 30 kg, respectively. Compared with propensity score-matched controls (N = 20), linear mixed model analysis suggested no difference in surgically induced %TWL (ß coefficient = -5.8 ± 3.7, P = .13) over 12 months between the groups. Therefore, we conclude that rare pathogenic MC3/4R mutations do not significantly modify weight change (%TWL) in response to bariatric surgery.

Glucose Awareness to Motivate and Enable Solutions (GAMES) in diabetes mellitus using flash glucose monitoring: A clinical programme.

AIMS: This real-world observational clinical programme evaluated short and medium-term effects of intermittent flash glucose monitoring on HbA1c, glycaemic variability and lifestyle behavioural changes. METHODS: Two first-generation Libre flash glucose monitoring sensors were provided 3-4 months apart with a food, activity diary, user evaluation survey and treatment modification after each sensor wear. T-tests were used to compare glucose variables within each sensor (week 1 vs. week 2) and between sensors (1st sensor vs. 2nd sensor). EasyGV software was used to calculate glycaemic variability. RESULTS: From 42 type 1 diabetes and 120 type 2 diabetes participants, there was no statistically significant change in mean HbA1c for participants with type 1 diabetes at 3-4 months after the 1st sensor but there was a statistically significant HbA1c reduction for participants with type 2 diabetes [-4 mmol/mol (-0.4%), p = 0.008], despite no statistically significant differences in carbohydrate intake, exercise frequency and duration. Greater reduction was seen in those with baseline HbA1c> 86 mmol/mol (10%) in both type 1 [-12 mmol/mol (-1.1%), p = 0.009] and type 2 diabetes [-11 mmol/mol (-1.0%), p = 0.001). Both type 1 and type 2 diabetes showed improvements in Glucose Management Indicator and percentage time-above-range when comparing week 1 versus week 2 of the same sensor. Higher scan frequency resulted in improved glycaemic parameters and certain measures of glycaemic variability. The majority of participants (85%) agreed that flash glucose monitoring is a useful device but only 60% were keen to use it for daily monitoring. CONCLUSION: Constant feedback from flash glucose monitoring improves glycaemic parameters within the first week of wear. Intermittent use 3-4 months apart resulted in greater improvements for those with higher baseline HbA1c.

Predictive performance of emergency department-specific variables on COVID-19 pneumonia.

Introduction: The majority of patients with COVID-19 infection do not progress to pneumonia. We report emergency department (ED)-specific variables and evaluate their predictive performance on diagnosis of pneumonia, intensive care unit (ICU) admission and death. Methods: This was a retrospective, single-centre cohort study of confirmed COVID-19 patients admitted to a Singapore tertiary hospital. Primary outcome was diagnosis of COVID-19 pneumonia. Secondary outcomes were ICU admission and/or death. Multivariate logistic regression was used to analyse the predictive performance of ED-specific variables. Accuracy of continuous variables was measured by area under receiver operating characteristic (ROC) curve. Results: 294 patients were included. Patients with pneumonia were older (52.0 years, P < 0.001) and had higher C-reactive protein (CRP; 33.8 mg/L, P < 0.001). Patients with indeterminate chest radiograph (CRX) findings were at risk of pneumonia vs. patients with normal CRX (37.5% vs. 4.3%, P < 0.001). Patients admitted to ICU were older (60.0 years, P < 0.001) and had higher CRP (40.0 mg/L, P < 0.001). Diagnosis of COVID-19 pneumonia was associated with ICU admission and death (30.0% vs 0.39%, P < 0.001). Multivariate logistic regression analysis showed that age (aOR 1.07, P = 0.049), CRP (aOR 1.05, P = 0.006) and CRX findings (aOR 50.00, P < 0.001) had increased odds of pneumonia. ROC curve analysis showed that CRP of 23.3 mg/L was the optimal cut-off for predicting pneumonia. Conclusion: Older age, higher CRP and CRX findings are associated with COVID-19 pneumonia, ICU admission and death. Prospective studies should be undertaken to validate these findings.