Preadmission predictors of severe COVID-19 in patients with diabetes mellitus.

OBJECTIVE: To explore predictors of severe COVID-19 disease in patients with diabetes hospitalized for COVID-19. METHODS: This is a retrospective observational study of adults with diabetes admitted for COVID-19. Bivariate tests and multivariable Cox regression were used to identify risk factors for severe COVID-19, defined as a composite endpoint of intensive care unit admission/intubation or in-hospital death. RESULTS: In 1134 patients with diabetes admitted for COVID-19, more severe disease was associated with older age (HR 1.02, p<0.001), male sex (HR 1.28, p=0.017), Asian race (HR 1.34, p=0.029 [reference: white]), and greater obesity (moderate obesity HR 1.59, p=0.015; severe obesity HR 2.07, p=0.002 [reference: normal body mass index]). Outpatient diabetes medications were not associated with outcomes. CONCLUSIONS: Age, male sex, Asian race, and obesity were associated with increased risk of severe COVID-19 disease in adults with type 2 diabetes hospitalized for COVID-19. SUMMARY: In patients with type 2 diabetes hospitalized for COVID-19 disease, we observed that age, male sex, Asian race, and obesity predicted severe COVID-19 outcomes of intensive care unit admission, intubation, or in-hospital death. The risk conferred by obesity increased with worsening obesity. Outpatient diabetes medications were not observed to be significant predictors of study outcomes.

Combined medical strategies for the management of type 2 diabetes mellitus and obesity in adults.

INTRODUCTION: Given the relationship between the pathogenesis of obesity and type 2 diabetes mellitus (T2DM) as well as their significant health consequences, treatment strategies that can induce weight loss while achieving glycemic control are needed. Novel weight-reducing anti-diabetic agents along with anti-obesity medications (AOMs) can help medical providers address both conditions simultaneously and effectively. AREAS COVERED: This review summarizes and compares weight loss efficacy and glycemic control of weight-reducing anti-diabetic medications, AOMs and emerging pharmacologic agents that help treat both obesity and T2DM. EXPERT OPINION: Management of obesity and T2DM can be challenging to achieve and sustain in the presence of obesogenic anti-diabetic agents. Utilizing weight-reducing anti-diabetic agents, AOMs, and endobariatric or surgical procedures, either separately or in combination, can help achieve better clinical outcomes in patients with obesity and T2DM. Some agents in development, such as tirzepatide and bimagrumab, are promising pharmacotherapy options that may change the standards of care for cardiometabolic disease management.

Trial of restarting and tolerating metformin (TreatMet).

This randomized, double-blind, placebo-controlled, n-of-1 crossover study assessed whether metformin's side effects are reproducible in patients with a history of metformin intolerance. Participants completed up to four cycles of 2 weeks of metformin exposure and 2 weeks of placebo exposure. Participants completed surveys based on the Gastrointestinal Symptom Rating Scale and the Treatment Satisfaction Questionnaire for Medication. The primary hypotheses were that treatment satisfaction would be equal for placebo and metformin and that more than 30% of the study enrollees would be able to adhere to a higher dose of metformin 6 months after participation. Thirteen patients (all women, mean age 52.4 years) enrolled, three of whom were lost to follow-up or were non-adherent to study protocol. Metformin was associated with significantly lower global treatment satisfaction scores compared with placebo (39.58 vs. 53.75, P < .05 ) but participants could not distinguish metformin from placebo and did not report higher rates of gastrointestinal side effects on metformin. Two out of 10 participants adhered to a higher dose of metformin after trial completion. Metformin appears to have barriers to use beyond its classic gastrointestinal side effects.

Carbohydrate-last meal pattern lowers postprandial glucose and insulin excursions in type 2 diabetes.

BACKGROUND: There are limited data regarding the timing of carbohydrate ingestion during a meal and postprandial glucose regulation. METHODS: Sixteen subjects with type 2 diabetes mellitus (T2DM) consumed the same meal on 3 days in random order: carbohydrate first, followed 10 min later by protein and vegetables; protein and vegetables first, followed 10 min later by carbohydrate; or all components together. Blood was sampled for glucose, insulin, glucagon-like peptide-1 (GLP-1), and glucagon measurements at baseline (just before meal ingestion) and subsequently at 30 min intervals up to 180 min. RESULTS: The incremental areas under the curve for glucose (iAUC0-180) and incremental glucose peaks were 53% and 54% lower, respectively, when carbohydrate was consumed last compared with carbohydrate consumed first (3124.7±501.2 vs 6703.5±904.6 mg/dL×180min, p<0.001; 34.7±4.1 vs 75.0±6.5 mg/dL, p<0.001) and 44% and 40% lower, respectively, compared with the all components together condition (3124.7±501.2 vs 5587.1±828.7 mg/dL×180min, p=0.003; 34.7±4.1 vs 58.2±5.9 mg/dL, p<0.001). Postprandial insulin excursions were lower (iAUC0-180: 7354.1±897.3 vs 9769.7±1002.1 µU/mL×min, p=0.003) and GLP-1 excursions higher (iAUC0-180: 3487.56±327.7 vs 2519.11±494.8 pg/mL×min, p=0.019) following the carbohydrate-last meal order compared with carbohydrate first. CONCLUSION: The carbohydrate-last meal pattern may be an effective behavioral strategy to improve postprandial glycemia.