Factors associated with death in severe patients with COVID-19/diabetes mellitus in Brazil

Abstract

Objectives: to analyze factors associated with death in severe COVID-19/diabetes mellitus patients in Brazil. Methods: a cross-sectional study, carried out with notifications of severe respiratory diseases due to COVID-19 registered in the Brazilian Healthcare system database, between 2020 and 2022, Brazil. To analyze associated factors, univariate and multivariate logistic regression models were used. Results: males, aged 19 to 59 years, older adults, non-white race/skin color, low education level, nosocomial cases, Intensive Care Unit admission, ventilatory support, chronic cardiovascular and renal diseases, asthma, chronic lung diseases, immunosuppression, clinical manifestations, serological tests, and imaging were associated with a higher risk of death. Variables such as rural area, cough, sore throat, and antigen test not performed were protective factors. Conclusions: these data reinforce the need for strategies based on social determinants of health to expand access, clinical management, and reduce mortality in these patients.