Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil
Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil
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DOI：
10.1017/s0950268820002034
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发表时间：
2020-01-01
影响因子：
4.2
通讯作者：
Bonfada, D.
中科院分区：
文献类型：
--
作者：
Santos, M. M.;Lucena, E. E. S.;Bonfada, D.
这项研究旨在分析巴西医院因新冠肺炎而住院的患者的生存情况，并估计预后因素。这是一项回顾性的多中心队列研究，基于巴西46,285例新冠肺炎住院患者的数据。生存函数采用Kaplan-Meier法计算。用对数列检验比较各变量的生存函数，计算出危险比(HR)，并用比例风险模型进行Cox多元回归分析。生存曲线最小的是年龄在68岁或以上、黑人/混血、文盲、居住在农村、呼吸困难、呼吸窘迫、流感样暴发、O(2)饱和的患者
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, O(2)saturation