Noninsulin-based antihyperglycemic medications in patients with diabetes and COVID-19: A systematic review and meta-analysis.

BACKGROUND: Patients with diabetes are more likely to suffer COVID-19 complications. Using noninsulin antihyperglycemic medications (AGMs) during COVID-19 infection has proved challenging. In this study, we evaluate different noninsulin AGMs in patients with COVID-19. METHODS: We searched Medline, Embase, Web of Science, and Cochrane on 24 January 2022. We used the following keywords (COVID-19) AND (diabetes mellitus) AND (antihyperglycemic agent). The inclusion criteria were studies reporting one or more of the outcomes. We excluded non-English articles, case reports, and literature reviews. Study outcomes were mortality, hospitalization, and intensive care unit (ICU) admission. RESULTS: The use of metformin rather than other glucose-lowering medications was associated with statistically significant lower mortality (risk ratio [RR]: 0.60, 95% confidence interval [CI]: 0.47, 0.77, p < .001). Dipeptidyl peptidase-4 inhibitor (DPP-4i) use was associated with statistically significantly higher hospitalization risk (RR: 1.44, 95% CI: 1.23, 1.68, p < .001) and higher risk of ICU admissions and/or mechanical ventilation vs nonusers (RR: 1.24, 95% CI: 1.04, 1.48, p < .02). There was a statistically significant decrease in hospitalization for SGLT-2i users vs nonusers (RR: 0.89, 95% CI: 0.84-0.95, p < .001). Glucagon-like peptide-1 receptor agonist (GLP-1RA) use was associated with a statistically significant decrease in mortality (RR: 0.56, 95% CI: 0.42, 073, p < 0.001), ICU admission, and/or mechanical ventilation (RR: 0.79, 95% CI: 0.69-0.89, p < .001), and hospitalization (RR: 0.73, 95% CI: 0.54, 0.98, p = .04). CONCLUSIONS: AGM use was not associated with increased mortality. However, metformin and GLP-1RA use reduced mortality risk statistically significantly. DPP-4i use was associated with a statistically significant increase in the risk of hospitalization and admission to the ICU.

Impact of SARS-CoV2 on youth onset type 2 diabetes new diagnoses and severity.

INTRODUCTION: Initial reports show an increase in youth onset type 2 diabetes during the COVID-19 pandemic. We aim to expand on existing evidence by analyzing trends over a longer period. OBJECTIVES: Our study aims to describe change in the amount, severity, and demographics of youth onset type 2 diabetes diagnoses during the COVID-19 pandemic compared to the five years before. METHODS: We performed a retrospective cross-sectional review of youth (age ≤ 21) diagnosed with type 2 diabetes during the COVID-19 pandemic (1 May 2020-30 April 2021) and the five years before (1 May 2015-30 April 2020) at a tertiary care center. Children were identified by International Classification of Diseases codes. Charts were reviewed to confirm diagnosis. Chi-square, t tests, and Fisher's exact tests were used for analyses. RESULTS: In the prepandemic era annual diagnoses of type 2 diabetes ranged from 41-69 (mean = 54.2), whereas during the pandemic period 159 children were diagnosed, an increase of 293%. The increase resulted in a higher incidence rate ratio during the pandemic than before, 2.77 versus 1.07 (p = .006). New diagnoses increased most, by 490%, in Non-Hispanic Black patients. The average HbA1c at presentation was higher during the pandemic (9.5% ± 2.6) (79.9 mmol/mol ± 28.2) than before (8.7%±2.1) (72.1 mmol/mol ± 23.1) (p = .003). Of those diagnosed during the pandemic, 59% were tested for COVID-19 and three tested positive. CONCLUSIONS: New diagnoses of type 2 diabetes increased during the pandemic, most notably in Non-Hispanic Black youth. There was not a significant correlation found with clinical or biochemical COVID-19 infection in those tested.

Usage of mobile health interventions among overweight/obese PCOS patients undergoing assisted reproductive technology treatment during the COVID-19 pandemic.

Objective: In the context of the coronavirus disease 2019 (COVID-19) pandemic, telemedicine is a promising tool for providing clinical care for patients. Since the first-line treatment for infertile women with polycystic ovarian syndrome (PCOS) is lifestyle modification, a mobile-based service that provides lifestyle modification education would be helpful in the treatment of PCOS patients. In this observational study, the effect of a mobile Health (mHealth) application for lifestyle modification on PCOS patients undergoing assisted reproductive technology (ART) treatment was evaluated.Methods: A total of 79 overweight/obese patients (40 in the paper group and 39 in the WeChat application group) with PCOS from the First Affiliated Hospital of University of Science and Technology of China were enrolled in the study. The changes in the outcomes of BMI and ART treatment were analyzed between the two groups.Results: After three months of intervention, the BMIs in the control and mHealth groups were 24.5 ± 3.3 and 23.7 ± 3.1, respectively. The percentage of patients who lost weight was higher in the WeChat group than in the control group (87.2% vs. 67.5%). Furthermore, PCOS patients in the WeChat group were found to have a higher live birth rate than those in the control group (p = 0.005).Conclusion: Lifestyle modifications for PCOS patients undergoing ART treatment using the WeChat application improved weight loss and oocyte quality. Infertile patients with PCOS were more likely to make lifestyle modifications based on the usage of mobile applications during the COVID-19 pandemic.

Prevalence and impact of diabetes in hospitalized COVID-19 patients: A systematic review and meta-analysis.

BACKGROUND: Diabetes is a cardiometabolic comorbidity that may predispose COVID-19 patients to worse clinical outcomes. This study sought to determine the prevalence of diabetes in hospitalized COVID-19 patients and investigate the association of diabetes severe COVID-19, rate of acute respiratory distress syndrome (ARDS), mortality, and need for mechanical ventilation by performing a systematic review and meta-analysis. METHODS: Individual studies were selected using a defined search strategy, including results up until July 2021 from PubMed, Embase, and Cochrane Central Register of Controlled Trials. A random-effects meta-analysis was performed to estimate the proportions and level of association of diabetes with clinical outcomes in hospitalized COVID-19 patients. Forest plots were generated to retrieve the odds ratios (OR), and the quality and risk assessment was performed for all studies included in the meta-analysis. RESULTS: The total number of patients included in this study was 10 648, of whom 3112 had diabetes (29.23%). The overall pooled estimate of prevalence of diabetes in the meta-analysis cohort was 31% (95% CI, 0.25-0.38; z = 16.09, P < .0001). Diabetes significantly increased the odds of severe COVID-19 (OR 3.39; 95% CI, 2.14-5.37; P < .0001), ARDS (OR 2.55; 95% CI, 1.74-3.75; P = <.0001), in-hospital mortality (OR 2.44; 95% CI, 1.93-3.09; P < .0001), and mechanical ventilation (OR 3.03; 95% CI, 2.17-4.22; P < .0001). CONCLUSIONS: Our meta-analysis demonstrates that diabetes is significantly associated with increased odds of severe COVID-19, increased ARDS rate, mortality, and need for mechanical ventilation in hospitalized patients. We also estimated an overall pooled prevalence of diabetes of 31% in hospitalized COVID-19 patients.

Diabetic ketoacidosis drives COVID-19 related hospitalizations in children with type 1 diabetes.

BACKGROUND: Diabetes is a risk factor for poor COVID-19 outcomes, but pediatric patients with type 1 diabetes are poorly represented in current studies. METHODS: T1D Exchange coordinated a US type 1 diabetes COVID-19 registry. Forty-six diabetes centers submitted pediatric cases for patients with laboratory confirmed COVID-19. Associations between clinical factors and hospitalization were tested with Fisher's Exact Test. Logistic regression was used to calculate odds ratios for hospitalization. RESULTS: Data from 266 patients with previously established type 1 diabetes aged <19 years with COVID-19 were reported. Diabetic ketoacidosis (DKA) was the most common adverse outcome (n = 44, 72% of hospitalized patients). There were four hospitalizations for severe hypoglycemia, three hospitalizations requiring respiratory support (one of whom was intubated and mechanically ventilated), one case of multisystem inflammatory syndrome in children, and 10 patients who were hospitalized for reasons unrelated to COVID-19 or diabetes. Hospitalized patients (n = 61) were more likely than nonhospitalized patients (n = 205) to have minority race/ethnicity (67% vs 39%, P < 0.001), public insurance (64% vs 41%, P < 0.001), higher A1c (11% [97 mmol/mol] vs 8.2% [66 mmol/mol], P < 0.001), and lower insulin pump and lower continuous glucose monitoring use (26% vs 54%, P < 0.001; 39% vs 75%, P < 0.001). Age and gender were not associated with risk of hospitalization. Higher A1c was significantly associated with hospitalization, with an odds ratio of 1.56 (1.34-1.84) after adjusting for age, gender, insurance, and race/ethnicity. CONCLUSIONS: Higher A1c remained the only predictor for hospitalization with COVID-19. Diabetic ketoacidosis is the primary concern among this group.

The potential effects of clinical antidiabetic agents on SARS-CoV-2.

BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is currently posing significant threats to public health worldwide. It is notable that a substantial proportion of patients with sever COVID-19 have coexisting diabetic conditions, indicating the progression and outcome of COVID-19 may relate to diabetes. However, it is still unclear whether diabetic treatment principles can be used for the treatment of COVID-19. METHODS: We conducted a computational approach to screen all commonly used clinical oral hypoglycemic drugs to identify the potential inhibitors for the main protease (Mpro ) of SARS-CoV-2, which is one of the key drug targets for anti-COVID-19 drug discovery. RESULTS: Six antidiabetic drugs with docking scores higher than 8.0 (cutoff value), including repaglinide, canagliflozin, glipizide, gliquidone, glimepiride, and linagliptin, were predicted as the promising inhibitors of Mpro . Interestingly, repaglinide, one of the six antidiabetic drugs with the highest docking score for Mpro , was similar to a previously predicted active molecule nelfinavir, which is a potential anti-HIV and anti-COVID-19 drug. Moreover, we found repaglinide shared similar docking pose and pharmacophores with a reported ligand (N3 inhibitor) and nelfinavir, demonstrating that repaglinide would interact with Mpro in a similar way. CONCLUSION: These results indicated that these six antidiabetic drugs may have an extra effect on the treatment of COVID-19, although further studies are necessary to confirm these findings.