AI Article Synopsis
- The study aimed to analyze factors linked to the deaths of COVID-19 patients hospitalized in Espírito Santo, Brazil.
- The research utilized secondary data and logistic regression models to determine odds ratios for various demographics and conditions.
- Key findings indicated that older individuals, particularly those over 60, as well as patients with multiple comorbidities and those admitted to public hospitals, faced significantly higher mortality rates.
Article Abstract
Objective: To analyze factors associated with the deaths of individuals hospitalized with COVID-19 in the state of Espírito Santo, Brazil.
Methods: This was a cross-sectional study using secondary data. Logistic regression models were used to estimate crude and adjusted odds ratios (OR).
Results: As at May 14, 2020, 200 individuals had been discharged and 220 had died. Of the total number of people studied, 57.1% were male, 46.4% were >60 years old, 57.9% were cases notified by a private institution, and 61.7% had >1 comorbidity. In the adjusted analysis, hospital mortality was higher for the 51-60 age group (OR=4.33 - 95%CI 1.50;12.46), the over 60 age group (OR=11.84 - 95%CI 4.31;32.54), cases notified by public institutions (OR=8.23 - 95%CI 4.84;13.99) and cases with a greater number of comorbidities (two [OR=2.74 - 95%CI 1.40;5.34] and three [OR=2.90 - 95%CI 1.07;7.81]).
Conclusion: Higher mortality was found in older individuals, those with comorbidities and users of public hospitals.
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| http://dx.doi.org/10.1590/S1679-49742020000400022 | DOI Listing |
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