COVID-19 Mortality among Hospitalized Patients: Survival, Associated Factors, and Spatial Distribution in a City in São Paulo, Brazil, 2020

• Published in: International journal of environmental research and public health Vol. 21; no. 9; p. 1211
• Main Authors: Batista, Marília Jesus, Lino, Carolina Matteussi, Tenani, Carla Fabiana, Barbosa, Adriano Pires, Latorre, Maria do Rosário Dias de Oliveira, Marchi, Evaldo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 14-09-2024; MDPI
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Asthma; Brazil - epidemiology; Cities - epidemiology; Coronaviruses; COVID-19; COVID-19 - epidemiology; COVID-19 - mortality; Diabetes; Dyspnea; Female; Fever; Health surveillance; Hospitalization; Hospitalization - statistics & numerical data; Hospitals; Humans; Hypertension; Immunology; Infections; Information systems; Kidney diseases; Length of stay; Length of Stay - statistics & numerical data; Lung diseases; Male; Medical prognosis; Middle Aged; Mortality; Neighborhoods; Pandemics; Regression analysis; Retrospective Studies; Risk Factors; SARS-CoV-2; Severe acute respiratory syndrome; Sociodemographics; Survival analysis; Young Adult; Brazil; mortality; epidemiology; SARS-CoV-2; public health; regression analysis
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph21091211

The aims of this study were to analyze patient survival, identify the prognostic factors for patients with COVID-19 deaths considering the length of hospital stay, and evaluate the spatial distribution of these deaths in the city of Jundiaí, São Paulo, Brazil. We examined prognostic variables and survival rates of COVID-19 patients hospitalized at a reference hospital in Jundiaí, Brazil. A retrospective cohort of hospitalized cases from April to July of 2020 was included. Descriptive analysis, Kaplan-Meier curves, univariate and multivariate Cox regression, and binary logistic regression models were used. Among the 902 reported and confirmed cases, there were 311 deaths (34.5%). The median survival was 27 days, and the mean for those discharged was 46 days. Regardless of the length of hospital stay, desaturation, immunosuppression, age over 60, kidney disease, hypertension, lung disease, and hypertension were found to be independent predictors of death in both Cox and logistic regression models.