Use este identificador para citar ou linkar para este item: https://repositorio.ufrn.br/handle/123456789/31827
Título: Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil
Autor(es): Santos, M. M.
Lucena, Eudes Euler de Souza
Lima, Kenio Costa de
Brito, A. A. C.
Bay, Monica Baumgardt
Bonfada, Diego
Palavras-chave: Coronavirus infections;Hospitalisations;Risk factors;SARS virus;Survival analysis
Data do documento: 7-Set-2020
Editor: Cambridge University Press
Referência: SANTOS, M. M.; LUCENA, Eudes Euler de Souza; LIMA, Kenio Costa de; BRITO, A. A. C.; BAY, Monica Baumgardt; BONFADA, Diego. Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil. Epidemiology And Infection, [s. l.], v. 148, p. 1-11, 2020. Disponível em: https://www.cambridge.org/core/journals/epidemiology-and-infection/article/survival-and-predictors-of-deaths-of-patients-hospitalised-due-to-covid19-from-a-retrospective-and-multicentre-cohort-study-in-brazil/525966571D07A9BDBDFAF2E3BA01009A. Acesso em: 04 mar. 2021. http://dx.doi.org/10.1017/s0950268820002034
Resumo: This study aimed to analyse the survival of patients admitted to Brazilian hospitals due to the COVID-19 and estimate prognostic factors. This is a retrospective, multicentre cohort study, based on data from 46 285 hospitalisations for COVID-19 in Brazil. Survival functions were calculated using the Kaplan–Meier’s method. The log-rank test compared the survival functions for each variable and from that, hazard ratios (HRs) were calculated, and the proportional hazard model was used in Cox multiple regression. The smallest survival curves were the ones for patients at the age of 68 years or more, black/mixed race, illiterate, living in the countryside, dyspnoea, respiratory distress, influenza-like outbreak, O2 saturation <95%, X-ray change, length of stay in the intensive care unit (ICU), invasive ventilatory support, previous heart disease, pneumopathy, diabetes, Down’s syndrome, neurological disease and kidney disease. Better survival was observed in the influenza-like outbreak and in an asthmatic patient. The multiple model for increased risk of death when they were admitted to the ICU HR 1.28, diabetes HR 1.17, neurological disease HR 1.34, kidney disease HR 1.11, heart disease HR 1.14, black or mixed race of HR 1.50, asthma HR 0.71 and pneumopathy HR 1.12. This reinforces the importance of socio-demographic and clinical factors as a prognosis for death
URI: https://repositorio.ufrn.br/handle/123456789/31827
ISSN: 0950-2688
1469-4409
Aparece nas coleções:CCS - DINF - Artigos publicados em periódicos
CCS - DOD - Artigos publicados em periódicos
COVID 19 - Artigos publicados em periódicos
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