RISK FACTORS FOR DEATH FROM COVID-19 IN A HOSPITAL IN THE SOUTHEAST REGION OF MATO GROSSO

Objectives: This study aimed to analyze the risk factors for death by COVID-19. Methods: Retrospective study with cases of hospitalization for COVID-19 in a referral hospital in southeastern Mato Grosso from January 2021 to December 2022. Data were collected from the IndicaSUS System of the State Department of Mato Grosso. The Poisson regression model was applied. Results: A total of 963 individuals, 19.21% (n=185) died as the outcome. The variables associated with the outcome of death were age older than 60 years (RR= 2.47; 95% CI= 1.23-4.95), having lung disease (RR= 1.80; 95% CI= 1.24-2.59), obesity (RR= 1.58; 95% CI= 1.06-2.36), being hospitalized in intensive or semi-intensive (RR= 2.40; 95% CI= 1.82-3.16) and requiring mechanical ventilation (RR= 4.54; 95% CI= 3.47-5.93). Conclusions: These data contribute to the understanding of the epidemiology of the disease in hospitals and may support actions aimed at the care of individuals with severe respiratory syndromes.

Authors

Publication Details

Journal
Revista Políticas Públicas & Cidades
Published
2024-09-13
DOI
https://doi.org/10.23900/2359-1552v13n2-126-2024
Primary Topic
Healthcare during COVID-19 Pandemic
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RISK FACTORS FOR DEATH FROM COVID-19 IN A HOSPITAL IN THE SOUTHEAST REGION OF MATO GROSSO

Giulia Elena Tessaro, Ludiele Souza Castro, Letícia Silveira Goulart, Débora Aparecida da Silva Santos et al.
Revista Políticas Públicas & Cidades
Healthcare during COVID-19 Pandemic
article

RISK FACTORS FOR DEATH FROM COVID-19 IN A HOSPITAL IN THE SOUTHEAST REGION OF MATO GROSSO

Giulia Elena Tessaro, Ludiele Souza Castro, Letícia Silveira Goulart, Débora Aparecida da Silva Santos, Ingryd Rodrigues Xavier Docusse
article en

Abstract

Objectives: This study aimed to analyze the risk factors for death by COVID-19. Methods: Retrospective study with cases of hospitalization for COVID-19 in a referral hospital in southeastern Mato Grosso from January 2021 to December 2022. Data were collected from the IndicaSUS System of the State Department of Mato Grosso. The Poisson regression model was applied. Results: A total of 963 individuals, 19.21% (n=185) died as the outcome. The variables associated with the outcome of death were age older than 60 years (RR= 2.47; 95% CI= 1.23-4.95), having lung disease (RR= 1.80; 95% CI= 1.24-2.59), obesity (RR= 1.58; 95% CI= 1.06-2.36), being hospitalized in intensive or semi-intensive (RR= 2.40; 95% CI= 1.82-3.16) and requiring mechanical ventilation (RR= 4.54; 95% CI= 3.47-5.93). Conclusions: These data contribute to the understanding of the epidemiology of the disease in hospitals and may support actions aimed at the care of individuals with severe respiratory syndromes.

Revista Políticas Públicas & CidadesVol. 13(2)
Openalex Percentile: Top 76%
Healthcare during COVID-19 Pandemic
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.