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Risk factors associated with death among cancer patients hospitalized for COVID-19 in Mato Grosso

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DOI:

https://doi.org/10.1590/1980-549720220020.supl.1.1

Keywords:

COVID-19, Cancer, hospital mortality, Prognostic factors for death

Abstract

Objective: To analyze the prognostic factors for death by COVID-19 in cancer patients. Methods: Retrospective study based on data recorded in the case notification system for COVID-19 hospitalizations in Mato Grosso. Reported cases of COVID-19 admitted between April 2020 and June 2021 with cancer were evaluated. Absolute and relative frequencies of sociodemographic, hospital care and comorbidity variables were calculated, as well as mean, median and standard deviation of age and length of stay. The odds ratio and its respective 95% confidence interval, crude and adjusted, were estimated using a logistic regression model. Results: 948 cancer patients hospitalized by covid-19 in Mato Grosso were considered, with a mean age of 59.7 years. The proportion of deaths was 34.5% and the mortality rate was 3.73 person-day (95%CI: 3.35; 4.16), with a median time between admission and death of 18 days. The chance of death was greater among patients aged 60 years or older, with chronic lung disease, who were admitted to ICU beds and required mechanical ventilation at the time of admission. Patients hospitalized from April to December 2020 and January to March 2021 had a greater chance of death when compared to those hospitalized between April and June 2021. Conclusions: The chance of deaths due to COVID-19 was greater among hospitalized cancer patients before the period of vaccination of this group in the state and among those older and admitted in worse clinical conditions.

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Posted

04/18/2022

How to Cite

Muraro, A. P., Oliveira, L. R. de, Andrade, A. C. de S., Terças-Trettel, A. C. P., Guimarães, L. V., & Souza, B. da S. N. de. (2022). Risk factors associated with death among cancer patients hospitalized for COVID-19 in Mato Grosso. In SciELO Preprints. https://doi.org/10.1590/1980-549720220020.supl.1.1

Section

Health Sciences