Abstract. Information on the risk factors for COVID-19 mortality in low- and middle-income countries is still scarce. In this retrospective cohort study, we analyzed the factors associated with COVID-19 mortality in hospitalized patients in a poor area of Brazil. Logistic regression was used to identify factors independently associated with mortality, including gender, age, and the presence of underlying medical conditions. A total of 1,207 patients were included in the analysis, and a 1.5-fold increase in COVID-19 mortality was found among patients aged > 65 years with hypertension and diabetes (odds ratio [OR]: 1.50, 95% CI: 1.02–2.19). Moreover, infectious disease (OR: 4.31, 95% CI: 1.39–13.39), kidney disease (OR: 2.59, 95% CI: 1.27–5.27), and heart disease (OR: 2.00, 95% CI: 1.31–3.04) were also predictive for COVID-19 in-hospital death. This large cohort provides important data on potential factors associated with COVID-19 mortality in Brazil.
【초록키워드】 COVID-19, Brazil, Mortality, Gender, Infectious disease, risk factor, hypertension, Patient, Kidney disease, age, large cohort, disease, Analysis, COVID-19 mortality, Odds ratio, Medical conditions, Predictive, In-hospital death, retrospective cohort study, Factor, country, analyzed, identify, was used, provide, hospitalized patient, increase in, diabete, with COVID-19, 【제목키워드】 Factor,