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入院时贫血与 COVID-19 患者的生存率。

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

机构信息

School of Medicine, Ilam University of Medical sciences, Ilam, Iran.

Non-Communicable Diseases Center, Ilam University of Medical Sciences, Ilam, Iran.

出版信息

Iran Biomed J. 2022 Nov 1;26(5):389-97. doi: 10.52547/ibj.3703.

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.

摘要

贫血症常使呼吸道疾病的严重程度恶化,到目前为止,很少有研究阐明贫血症对 COVID-19 感染的影响。本研究旨在使用加速失效时间(AFT)模型评估入院时贫血对 COVID-19 患者总生存率的影响。这项基于注册的单中心回顾性队列研究在伊朗西南部伊拉姆的一家大学医院进行,时间为 2020 年 3 月至 2021 年 9 月。应用 AFT 模型对 2441 名 COVID-19 患者的数据进行了分析。通过赤池信息量准则(AIC)和考克斯-斯奈尔残差评估 AFT 模型的性能。入院时贫血定义为男性血红蛋白(Hb)浓度<120 g/l、女性<110 g/l 和孕妇<100 g/l。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。根据 AIC 和考克斯-斯奈尔残差图,威布尔模型的 AIC 最低,是 AFT 模型中最适合数据集的模型。在调整模型中,威布尔模型的结果表明,贫血(调整后的时间比:1.04;95%置信区间:1.00-1.08;p = 0.03)是 COVID-19 患者死亡进展的加速因素。COVID-19 患者的血红蛋白每增加一个单位,生存率就提高 4%。贫血症是与 COVID-19 感染相关的死亡率的独立危险因素。因此,医疗保健专业人员在 COVID-19 患者入院时应更加关注 Hb 水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d88/9763880/e443670ba409/ibj-26-389-g001.jpg

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