On-Admission Anemia and Survival Rate in COVID-19 Patients

Q2 Biochemistry, Genetics and Molecular Biology
Reza Asadzadeh, Aliashraf Mozafari, Elham Shafiei, Mohammadreza Kaffashian, Iraj Ahmadi, Mohammadzaman Darvish, Saiyad Bastaminejad
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引用次数: 2

Abstract

Anemia often worsens the severity of respiratory illnesses, and few studies have so far elucidated the impact of anemia on COVID-19 infection. This study aimed to evaluate the effect of anemia at admission on the overall survival of COVID-19 patients using accelerated failure time (AFT) models.

This registry-based, single-center retrospective cohort study was conducted in a university hospital in Ilam, the southwest of Iran, between March 2020 and September 2021. AFT models were applied to set the data of 2,441 COVID-19 patients. Performance of AFT models was assessed using Akaike’s information criterion (AIC) and Cox-Snell residual. On-admission anemia was defined as hemoglobin (Hb) concentration <120 g/l in men, <110 g/l in women, and <100 g/l in pregnant women.

The median in-hospital survival times for anemic and non-anemic patients were 27 and 31 days, respectively. Based on the AIC and Cox-Snell residual graph, the Weibull model had the lowest AIC and it was the best fitted model to the data set among AFT models. In the adjusted model, the results of the Weibull model suggested that the anemia (adjusted time ratio: 1.04; 95% CI: 1.00-1.08; p = 0.03) was the accelerated factor for progression to death in COVID-19 patients. Each unit of increase in hemoglobin in COVID-19 patients enhanced the survival rate by 4%.

Anemia is an independent risk factor associated with the risk of mortality from COVID-19 infection. Therefore, healthcare professionals should be more sensitive to the Hb level of COVID-19 patients upon admission.

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COVID-19患者入院时贫血及生存率
贫血往往会加重呼吸系统疾病的严重程度,迄今为止很少有研究阐明贫血对COVID-19感染的影响。本研究旨在利用加速失效时间(AFT)模型评估入院时贫血对COVID-19患者总生存期的影响。这项基于登记的单中心回顾性队列研究于2020年3月至2021年9月在伊朗西南部Ilam的一家大学医院进行。采用AFT模型对2441例COVID-19患者的数据进行设置。采用赤池信息准则(Akaike’s information criterion, AIC)和Cox-Snell残差对AFT模型的性能进行评价。入院时贫血被定义为血红蛋白(Hb)浓度。贫血和非贫血患者的中位住院生存时间分别为27天和31天。从AIC和Cox-Snell残差图来看,Weibull模型的AIC最低,是AFT模型中与数据集拟合最好的模型。在调整后的模型中,Weibull模型的结果表明,贫血(调整后的时间比:1.04;95% ci: 1.00-1.08;p = 0.03)是COVID-19患者进展到死亡的加速因素。COVID-19患者血红蛋白每增加一个单位,生存率提高4%。贫血是与COVID-19感染死亡风险相关的独立危险因素。因此,医护人员应在入院时对COVID-19患者的Hb水平更加敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iranian Biomedical Journal
Iranian Biomedical Journal Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.20
自引率
0.00%
发文量
42
审稿时长
8 weeks
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