Metformin use is associated with a reduced risk of mortality in patients with diabetes hospitalised for COVID-19

AimsMetformin exerts anti-inflammatory and immunosuppressive effects. We addressed the impact of prior metformin use on prognosis in patients with type 2 diabetes hospitalised for COVID-19.MethodsCORONADO is a nationwide observational study that included patients with diabetes hospitalised for COVID-19 between March 10 and April 10, 2020 in 68 French centres. The primary outcome combined tracheal intubation and/or death within 7 days of admission. A Kaplan-Meier survival curve was reported for death up to day 28. The association between metformin use and outcomes was then estimated in a logistic regression analysis after applying a propensity score inverse probability of treatment weighting approach.ResultsAmong the 2449 patients included, 1496 were metformin users and 953 were not. Compared with non-users, metformin users were younger with a lower prevalence of diabetic complications, but had more severe features of COVID-19 on admission. The primary endpoint occurred in 28.0% of metformin users (vs 29.0% in non-users, P = 0.6134) on day 7 and in 32.6% (vs 38.7%, P = 0.0023) on day 28. The mortality rate was lower in metformin users on day 7 (8.2 vs 16.1%, P < 0.0001) and on day 28 (16.0 vs 28.6%, P < 0.0001). After propensity score weighting was applied, the odds ratios for primary outcome and death (OR [95%CI], metformin users vs non-users) were 0.838 [0.649?1.082] and 0.688 [0.470?1.007] on day 7, then 0.783 [0.615?0.996] and 0.710 [0.537?0.938] on day 28, respectively.ConclusionMetformin use appeared to be associated with a lower risk of death in patients with diabetes hospitalised for COVID-19.     

High prevalence of post COVID-19 fatigue in patients with type 2 diabetes: A case-control study

BackgroundPost COVID-19 syndrome (PCS) has emerged as a major roadblock in the recovery of patients infected with SARS-CoV-2. Amongst many symptoms like myalgia, headache, cough, breathlessness; fatigue is is most prevalent and makes the patient severely debilitated. Research on PCS, in particular fatigue, in patients with diabetes has not been done.MethodologyIn this prospective study, we included patients with type 2 diabetes (T2D) who had COVID-19 (mild to moderate severity), and matched T2D patients who did not suffer from COVID-19. Demography, anthropometry, glycemic measures, treatment, and details of COVID-19 were recorded. Symptoms were scored using Chalder Fatigue Scale (reported as fatigue score, FS) and handgrip strength (in kg) was recorded by Jamar Hydraulic Hand Dynamometer.ResultsA total of 108 patients were included (cases, 52, controls, 56). Both groups were matched for age, duration of diabetes, BMI, TSH, serum albumin and vitamin D levels. T2D patients who had COVID-19 showed significantly more fatigue when compared with patients who did not have COVID-19 but both groups had comparable handgrip strength. Furthermore, patients with T2D with previous COVID-19 infection and who had FS > 4 have had significant higher inflammation markers during acute illness, and post COVID-19, had increased post prandial blood glucose levels, lost more weight, had reduced physical activity and showed significantly lower handgrip strength as compared to those with FS < 4.ConclusionPatients with T2D who had COVID-19 infection as compared to those without had significantly more fatigue after the acute illness, and those with higher FS had reduced handgrip strength indicating sarcopenia, even after careful matching for common contributory factors to fatigue at baseline. Rehabilitation of those with FS>4 after acute infection would require careful attention to nutrition, glycemic control and graduated physical activity protocol.     

Blood glucose control with different treatment regimens in type 2 diabetes patients hospitalized with COVID-19 infection: A retrospective study

Coronavirus disease (COVID-19) is closely associated with hyperglycemia and a worse prognosis in patients with a previous diagnosis of type 2 diabetes mellitus. A few studies investigated the effects of diabetes treatment regimens in these patients during hospitalization. Here, we evaluate the impact of insulin and non-insulin therapy on glucose control in patients with type 2 diabetes admitted with COVID-19.This is a retrospective study including 359 COVID-19 patients with type 2 diabetes. Patients were divided into 2 groups according to diabetes treatment during hospitalization. The first group included patients treated with insulin only, and the second group patients treated with other antidiabetic agents with or without insulin. Average blood glucose was higher in the insulin-only treatment group (201 ± 66 mg/dL vs 180 ± 71 mg/dL, P = .004), even after excluding mechanically ventilated patients (192 ± 69 vs 169 ± 59 mg/dL, P = .003). In patients with moderate severity of COVID-19, average blood glucose was also significantly higher in the insulin-only treated group (197 ± 76 vs 168 ± 51 mg/dL, P = .001). Most patients (80%) in the combination treatment group received metformin. Moderately affected COVID-19 patients with type 2 diabetes could safely be treated with antihyperglycemic medications with or without insulin.     

Glycemic parameters in patients with new-onset diabetes during COVID-19 pandemic are more severe than in patients with new-onset diabetes before the pandemic: NOD COVID India Study

Background and aimsIt is not known if new onset diabetes during Coronavirus-19 disease (COVID-19; NOD COVID) is phenotypically or biochemically different than new onset diabetes before COVID-19 (NOD).MethodsAll adults diagnosed with new onset diabetes from during the time of COVID-19 were compared with new onset diabetes prior to COVID-19 from two tertiary care hospitals in Chennai and Delhi. RTPCR test for SARS-CoV-2 virus was done as appropriate, and COVID-19 antibody test was done in all other NOD COVID patients.ResultA total of 555 patients with new onset diabetes were included in the study (282 NOD and 273 NOD COVID patients). Patients with NOD COVID had higher fasting and post prandial blood glucose and glycated hemoglobin levels vs. NOD patients. Both the groups had high average body mass index; ～28 kg/m². Interestingly, fasting C-peptide levels were significantly higher in the NOD COVID group vs. NOD group. There was no difference in C-peptide levels or glycemic parameters between the COVID-19 antibody positive and negative NOD COVID cases.ConclusionIndividuals who were diagnosed with diabetes during COVID-19 epidemic (NOD COVID) do not significantly differ from those diagnosed before COVID-19 in symptomatology, phenotype, and C-peptide levels but they had more severe glycemia.     

Hepatocellular injury and the mortality risk among patients with COVID-19: A retrospective cohort study

BACKGROUNDClearly, infection with severe acute respiratory syndrome coronavirus 2 is not limited to the lung but also affects other organs. We need predictive models to determine patients’ prognoses and to improve health care resource allocation during the coronavirus disease 2019 (COVID-19) pandemic. While treating COVID-19, we observed differential outcome prediction weights for markers of hepatocellular injury among hospitalized patients.AIMTo investigate the association between hepatocellular injury and all-cause in-hospital mortality among patients with COVID-19.METHODSThis multicentre study employed a retrospective cohort design. All adult patients admitted to Al-Azhar University Hospital, Assiut, Egypt and Abo Teeg General Hospital, Assiut, Egypt with confirmed COVID-19 from June 1, 2020, to July 30, 2020 were eligible. We categorized our cohort into three groups of (1) patients with COVID-19 presenting normal aminotransferase levels; (2) patients with COVID-19 presenting one-fold higher aminotransferase levels; and (3) patients with COVID-19 presenting two-fold higher aminotransferase levels. We analysed the association between elevated aminotransferase levels and all-cause in-hospital mortality. The survival analysis was performed using the Kaplan–Meier method and tested by log-rank analysis.RESULTSIn total, 376 of 419 patients met the inclusion criteria, while 29 (8%) patients in our cohort died during the hospital stay. The median age was 40 years (range: 28-56 years), and 51% were males (n = 194). At admission, 54% of the study cohort had liver injury. The pattern of liver injury was hepatocellular injury with an aspartate aminotransferase (AST) predominance. Admission AST levels were independently associated with all-cause in-hospital mortality in the logistic regression analysis. A one-fold increase in serum AST levels among patients with COVID-19 led to an eleven-fold increase in in-hospital mortality (P < 0.001). Admission AST levels correlated with C-reactive protein (r = 0.2; P < 0.003) and serum ferritin (r = 0.2; P < 0.0002) levels. Admission alanine aminotransferase levels correlated with serum ferritin levels (r = 0.1; P < 0.04). Serum total bilirubin levels were independently associated with in-hospital mortality in the binary logistic regression analysis after adjusting for age and sex but lost its statistical significance in the fully adjusted model. Serum ferritin levels were significantly associated with in-hospital mortality (P < 0.01). The probability of survival was significantly different between the AST groups and showed the following order: a two-fold increase in AST levels > a one-fold increase in in AST levels > normal AST levels (P < 0.0001).CONCLUSIONLiver injury with an AST-dominant pattern predicts the severity of COVID-19. Elevated serum ferritin levels are associated with fatal outcomes.     

Metabolic syndrome and the risk of COVID-19 infection: A nationwide population-based case-control study

Background and aimsMetabolic syndrome (MetS) is a chronic, low-grade inflammatory disease. This study aimed to investigate the impact of MetS on the risk and severity of COVID-19.Methods and resultsWe investigated a nationwide cohort with COVID-19 including all patients who underwent the test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Korea. The COVID-19 group included 4070 patients with positive SARS-CoV-2 test results, and the age- and sex-matched control group included 27,618 subjects with negative SARS-CoV-2 test results. The endpoints were SARS-CoV-2 positivity and the severity of COVID-19. The prevalence of MetS was 24.7% and 24.5% in the COVID-19 and control groups, respectively. The presence of MetS was not associated with the risk of developing COVID-19. Among the components of MetS, central obesity was associated with a higher risk of COVID-19 infection (adjusted odds ratio [aOR], 1.17; 95% confidence interval [CI], 1.06–1.28, P = 0.001). The presence of MetS was significantly associated with severe COVID-19 (aOR, 1.25; 95% CI, 0.78–2.00, P = 0.352). Among the individual components of MetS, prediabetes/diabetes mellitus was associated with a higher risk of severe COVID-19 (aOR, 1.61; 95% CI, 1.21–2.13, P = 0.001). The risk of severe COVID-19 linearly increased according to the number of metabolic components (P for trend = 0.005).ConclusionIn this nationwide cohort study, the individuals with MetS had a significant increase in the risk of severe COVID-19 infection. These patients, particularly those with central obesity and insulin resistance, deserve special attention amid the COVID-19 pandemic.     

Newly diagnosed diabetes in patients with mild to moderate COVID-19

Background and aimsWe aimed to study newly diagnosed diabetes in patients with mild to moderate COVID-19.MethodsThis was a retrospective cohort study of COVID-19 patients who were admitted to a tertiary care hospital in India from May to October 2020.ResultsOf 102 patients, 21 (20.6%) had newly diagnosed diabetes on admission. Of which, four (19.0%) had marked hyperglycemia with no ketosis or ketoacidosis.ConclusionIn this study of patients with mild to moderate COVID-19, newly diagnosed diabetes and marked hyperglycemia in those with newly diagnosed diabetes were common.     

Obesity as a risk factor for hospitalization in COronaVirus Disease-19 (COVID-19) patients: Analysis of the Tuscany regional database

Background and aimsAim of the present study is to determine the role of obesity as a risk factor for COronaVirus Disease-19 (COVID-19) hospitalization.Methods and resultsThis observational study was performed using Istituto Superiore di Sanità (ISS) Tuscany COVID-19 database by the Agenzia Regionale Sanità (ARS), including all COVID-19 cases registered until April 30th, 2020, with reported information on chronic diseases. The principal outcome was hospitalization. An age and gender-adjusted logistic regression model was used to assess the association of clinical and demographic characteristics with hospitalization. Further multivariate models were applied. Of 4481 included subjects (36.9% aged over 70 years), 1907 (42.6%) were admitted to hospital. Obesity was associated with hospitalization after adjusting for age and gender. The association of obesity with hospitalization retained statistical significance in a fully adjusted model, including possible confounders (OR: 2.99 [IC 95% 2.04–4.37]). The effect of obesity was more evident in younger (<70 years) than in older (≥70 years) subjects.ConclusionsThe present data confirm that obesity is associated with an increased risk of hospitalization in patients with COVID-19. Interestingly, the association of obesity with hospitalization was greater in younger (<70 years) patients.     

Hypertension is a clinically important risk factor for critical illness and mortality in COVID-19: A meta-analysis

AimsAs reported, hypertension may play an important role in adverse outcomes of coronavirus disease-2019 (COVID-19), but it still had many confounding factors. The aim of this study was to explore whether hypertension is an independent risk factor for critical COVID-19 and mortality.Data synthesisThe Medline, PubMed, Embase, and Web of Science databases were systematically searched until November 2020. Combined odds ratios (ORs) with their 95% confidence interval (CIs) were calculated by using random-effect models, and the effect of covariates was analyzed using the subgroup analysis and meta-regression analysis. A total of 24 observational studies with 99,918 COVID-19 patients were included in the meta-analysis. The proportions of hypertension in critical COVID-19 were 37% (95% CI: 0.27 ?0.47) when compared with 18% (95% CI: 0.14 ?0.23) of noncritical COVID-19 patients, in those who died were 46% (95%CI: 0.37 ?0.55) when compared with 22% (95% CI: 0.16 ?0.28) of survivors. Pooled results based on the adjusted OR showed that patients with hypertension had a 1.82-fold higher risk for critical COVID-19 (aOR: 1.82; 95% CI: 1.19 ? 2.77; P = 0.005) and a 2.17-fold higher risk for COVID-19 mortality (aOR: 2.17; 95% CI: 1.67 ? 2.82; P < 0.001). Subgroup analysis results showed that male patients had a higher risk of developing to the critical condition than female patients (OR: 3.04; 95%CI: 2.06 ? 4.49; P < 0.001) and age >60 years was associated with a significantly increased risk of COVID-19 mortality (OR: 3.12; 95% CI: 1.93 ? 5.05; P < 0.001). Meta-regression analysis results also showed that age (Coef. = 2.3×10^?2, P = 0.048) had a significant influence on the association between hypertension and COVID-19 mortality.ConclusionsEvidence from this meta-analysis suggested that hypertension was independently associated with a significantly increased risk of critical COVID-19 and inhospital mortality of COVID-19.