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

Marília Jesus Batista1, Carolina Matteussi Lino2, Carla Fabiana Tenani1

  • 1Department of Public Health, Jundiaí Medical School, Jundiaí 13202-550, SP, Brazil.

International Journal of Environmental Research and Public Health
|September 28, 2024
PubMed

Insights

This study identified key predictors of death in hospitalized COVID-19 patients in Jundiaí, Brazil. Factors like desaturation, immunosuppression, and pre-existing conditions significantly impacted survival rates, regardless of hospital stay duration.

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Diseases

Background:

  • COVID-19 presented a significant mortality challenge globally.
  • Understanding prognostic factors is crucial for patient management and resource allocation.

Purpose of the Study:

  • To analyze patient survival and identify prognostic factors for COVID-19 deaths.
  • To evaluate the spatial distribution of COVID-19 deaths in Jundiaí, Brazil.
  • To consider the impact of hospital stay length on mortality predictors.

Main Methods:

  • Retrospective cohort study of 902 hospitalized COVID-19 patients (April-July 2020).
  • Utilized descriptive analysis, Kaplan-Meier curves, Cox regression (univariate and multivariate), and binary logistic regression.
  • Examined prognostic variables and survival rates.

Main Results:

  • 311 deaths (34.5%) occurred among 902 confirmed cases.
  • Median survival was 27 days; mean survival for discharged patients was 46 days.
  • Independent predictors of death included desaturation, immunosuppression, age >60, kidney disease, lung disease, and hypertension.

Conclusions:

  • Several clinical and demographic factors independently predict mortality in hospitalized COVID-19 patients.
  • These findings are vital for risk stratification and targeted interventions.
  • The study provides insights into COVID-19 outcomes in a specific Brazilian urban setting.

Keywords:
SARS-CoV-2epidemiologymortalitypublic healthregression analysis

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