Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSantos, M. M.-
dc.contributor.authorLucena, Eudes Euler de Souza-
dc.contributor.authorLima, Kenio Costa de-
dc.contributor.authorBrito, A. A. C.-
dc.contributor.authorBay, Monica Baumgardt-
dc.contributor.authorBonfada, Diego-
dc.identifier.citationSANTOS, 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: Acesso em: 04 mar. 2021.
dc.publisherCambridge University Presspt_BR
dc.rightsAttribution 3.0 Brazil*
dc.subjectCoronavirus infectionspt_BR
dc.subjectRisk factorspt_BR
dc.subjectSARS viruspt_BR
dc.subjectSurvival analysispt_BR
dc.titleSurvival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazilpt_BR
dc.description.resumoThis 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 deathpt_BR
Appears in Collections:CCS - DINF - Artigos publicados em periódicos
CCS - DOD - Artigos publicados em periódicos
COVID 19 - Artigos publicados em periódicos
EMCM - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
DeathsPatientsCOVID19_Lucena_2020.pdf397,82 kBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons