Predictors of mortality and ICU requirement in hospitalized COVID-19 patients with diabetes: A multicentre study

Aim: This study aimed to identify the predictors of mortality and ICU requirements in hospitalized COVID- 19 Patients with Diabetes. Design: Cross-sectional study. Methods: It was a retrospective study of patients hospitalized with COVID- 19 infection from October 2020- February 2021 in four hospitals in Sylhet, Bangladesh. Logistic regression analysis was applied to explore the predictors of ICU requirement and inhospital mortality. Results: In the whole cohort (n = 500), 11% of patients died and 24% of patients required intensive care unit (ICU) support. Non-survivors had significantly higher prevalence of lymphopenia, thrombocytopenia and leukocytosis. Significant predictors of inhospital mortality were older age, neutrophil count, platelet count and admission peripheral capillary oxygen saturation (SpO2). Older age, ischemic heart disease, WBC count, D- dimer and admission SpO2 were identified as significant predictors for ICU requirement.