Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil

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

Página do item simplificado Estatísticas

dc.contributor.author	Santos, M. M.
dc.contributor.author	Lucena, Eudes Euler de Souza
dc.contributor.author	Lima, Kenio Costa de
dc.contributor.author	Brito, A. A. C.
dc.contributor.author	Bay, Monica Baumgardt
dc.contributor.author	Bonfada, Diego
dc.date.accessioned	2021-03-12T10:56:36Z
dc.date.available	2021-03-12T10:56:36Z
dc.date.issued	2020-09-07
dc.description.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	pt_BR
dc.identifier.citation	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	pt_BR
dc.identifier.doi	10.1017/s0950268820002034
dc.identifier.issn	0950-2688
dc.identifier.issn	1469-4409
dc.identifier.uri	https://repositorio.ufrn.br/handle/123456789/31827
dc.language	en	pt_BR
dc.publisher	Cambridge University Press	pt_BR
dc.rights	Attribution 3.0 Brazil	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/br/	*
dc.subject	Coronavirus infections	pt_BR
dc.subject	Hospitalisations	pt_BR
dc.subject	Risk factors	pt_BR
dc.subject	SARS virus	pt_BR
dc.subject	Survival analysis	pt_BR
dc.title	Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil	pt_BR
dc.type	article	pt_BR