对COVID-19患者死亡率预测因素的调查:来自伊朗的回顾性研究

A. Monfared, M. Moghadamnia, Samad Karkhah, S. Maroufizadeh, Mohammad Asadian Rad, J. Kheirkhah, fatemeh jafaraghayee
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引用次数: 4

摘要

背景与目的:在当前COVID-19大流行中,疾病诊断是优化管理和及时隔离感染病例以防止进一步传播的关键。本研究的目的是评估COVID-19患者死亡率的预测因素。材料与方法:在一项回顾性研究中,纳入了伊朗桂兰省Razi医院的522例COVID-19患者。该医院是桂兰省治疗新冠肺炎患者的主要中心。数据采集于2020年3月至8月进行人口普查抽样。应用简单和多元logistic回归分析评估临床和人口学特征与住院死亡率的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey for Predictors of Mortality among COVID-19 Patients: A Retrospective Study from Iran
Background and Objective: In the current COVID-19 pandemic, disease diagnosis is essential for optimal management and timely isolation of infected cases in order to prevent further spread. The aim of this study is to assess of predictors of mortality among COVID-19 patients. Material and Methods: In a retrospective study, 522 COVID-19 patients were enrolled in Razi hospital, Guilan Province, Iran. This hospital was the main center for the treatment of COVID-19 patients in Guilan province. Data gathering was performed by census sampling from March to August 2020. Simple and Multiple logistic regression analysis was applied to assess the relationships of clinical and demographic characteristics with in-hospital mortality.
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