ABSTRACT
Diabetes mellitus causes a decline in immunological function, an increase in proinflammatory cytokines, and a prothrombotic state, thus providing risk factors for the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM). The aim of the present study was to analyze the risk factors associated with the severity of COVID-19 in patients with T2DM. A cross-sectional observational study was performed on 201 patients with T2DM from May 1 to August 31, 2020 and admitted to the isolation ward of Dr Soetomo General Hospital (Surabaya, Indonesia). The patients were divided into severe (108 cases; 53.7%) and non-severe (93 cases; 46.3%) groups, which were considered the dependent variables. Univariate and multivariate analysis was performed. The independent variables were age, sex, diabetes onset, chronic complications, presence of hypertension, randomized blood glucose, HbA1c, albumin, and neutrophil-lymphocyte ratio (NLR). A P-value <0.05 was considered to be statistically significant. The median age of the 201 subjects was 56 years, with 70.1% <60 years old, 52.7% male, 76.1% with diabetes onset <10 years, and 108 patients (53.7%) in severe condition. The results of the bivariate analysis revealed that diabetes onset >10 years (OR 2.5; P=0.011) was associated with severity of COVID-19 in patients with T2DM, however hypoalbumin (OR 1.93; P=0.054) was not associated with disease severity. Furthermore, multivariate analysis revealed that male sex (OR 2.07; P=0.042), age (≥60 years) (OR 2.92; P=0.008), HbA1c (≥8%) (OR 3.55; P=0.001), hypertension (OR 4.07; P=0.001), and an NLR ≥7.36 (OR 6.39; P=0.001) were associated with severe COVID-19. Collectively, it was revealed that increased NLR, hypertension, poor glycemic control, older age, and male sex were risk factors associated with the severity of COVID-19 among diabetic patients.
ABSTRACT
BACKGROUND: Abrupt implementation of lockdowns during the coronavirus disease 2019 (COVID-19) pandemic affected the management of diabetes mellitus in patients worldwide. Limited access to health facilities and lifestyle changes potentially affected metabolic parameters in patients at risk. We conducted a meta-analysis to determine any differences in the control of metabolic parameters in patients with diabetes, before and during lockdown. METHODS: We performed searches of five databases. Meta-analyses were carried out using random- or fixed-effect approaches to glycaemic control parameters as the primary outcome: glycosylated hemoglobin (HbA1c), random blood glucose (RBG), fasting blood glucose (FBG), time-in-range (TIR), time-above-range (TAR), time-below-range (TBR). Mean difference (MD), confidence interval (CI), and P value were calculated. Lipid profile was a secondary outcome and is presented as a descriptive analysis. RESULTS: Twenty-one studies enrolling a total of 3,992 patients with type 1 or type 2 diabetes mellitus (T1DM or T2DM) were included in the study. Patients with T1DM showed a significant improvement of TIR and TAR (MD=3.52% [95% CI, 0.29 to 6.74], I2=76%, P=0.03; MD=-3.36% [95% CI, -6.48 to -0.25], I2=75%, P=0.03), while FBG among patients with T2DM significantly worsened (MD=3.47 mg/dL [95% CI, 1.22 to 5.73], I2=0%, P<0.01). No significant difference was found in HbA1c, RBG, and TBR. Use of continuous glucose monitoring in T1DM facilitated good glycaemic control. Significant deterioration of lipid parameters during lockdown, particularly triglyceride, was observed. CONCLUSION: Implementation of lockdowns during the COVID-19 pandemic did not worsen glycaemic control in patients with diabetes. Other metabolic parameters improved during lockdown, though lipid parameters, particularly triglyceride, worsened.