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Article

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

by
Marília Jesus Batista
1,*,
Carolina Matteussi Lino
2,
Carla Fabiana Tenani
1,
Adriano Pires Barbosa
1,
Maria do Rosário Dias de Oliveira Latorre
3 and
Evaldo Marchi
4
1
Department of Public Health, Jundiaí Medical School, Jundiaí 13202-550, SP, Brazil
2
Department of Health Sciences and Child Dentistry, Faculty of Odontology of Piracicaba, University of Campinas, Piracicaba 13414-903, SP, Brazil
3
Department of Epidemiology, Faculty of Public Health, University of São Paulo, São Paulo 01246-904, SP, Brazil
4
Department of Surgery, Jundiaí Medical School, Jundiaí 13202-550, SP, Brazil
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2024, 21(9), 1211; https://doi.org/10.3390/ijerph21091211
Submission received: 31 July 2024 / Revised: 15 August 2024 / Accepted: 21 August 2024 / Published: 14 September 2024

Abstract

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.
Keywords: epidemiology; public health; SARS-CoV-2; regression analysis; mortality epidemiology; public health; SARS-CoV-2; regression analysis; mortality

Share and Cite

MDPI and ACS Style

Batista, M.J.; Lino, C.M.; Tenani, C.F.; Barbosa, A.P.; Latorre, M.d.R.D.d.O.; Marchi, E. COVID-19 Mortality among Hospitalized Patients: Survival, Associated Factors, and Spatial Distribution in a City in São Paulo, Brazil, 2020. Int. J. Environ. Res. Public Health 2024, 21, 1211. https://doi.org/10.3390/ijerph21091211

AMA Style

Batista MJ, Lino CM, Tenani CF, Barbosa AP, Latorre MdRDdO, Marchi E. COVID-19 Mortality among Hospitalized Patients: Survival, Associated Factors, and Spatial Distribution in a City in São Paulo, Brazil, 2020. International Journal of Environmental Research and Public Health. 2024; 21(9):1211. https://doi.org/10.3390/ijerph21091211

Chicago/Turabian Style

Batista, Marília Jesus, Carolina Matteussi Lino, Carla Fabiana Tenani, Adriano Pires Barbosa, Maria do Rosário Dias de Oliveira Latorre, and Evaldo Marchi. 2024. "COVID-19 Mortality among Hospitalized Patients: Survival, Associated Factors, and Spatial Distribution in a City in São Paulo, Brazil, 2020" International Journal of Environmental Research and Public Health 21, no. 9: 1211. https://doi.org/10.3390/ijerph21091211

APA Style

Batista, M. J., Lino, C. M., Tenani, C. F., Barbosa, A. P., Latorre, M. d. R. D. d. O., & Marchi, E. (2024). COVID-19 Mortality among Hospitalized Patients: Survival, Associated Factors, and Spatial Distribution in a City in São Paulo, Brazil, 2020. International Journal of Environmental Research and Public Health, 21(9), 1211. https://doi.org/10.3390/ijerph21091211

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