Suppr超能文献

红细胞分布宽度是 2019 年冠状病毒病严重疾病的重要预测指标。

Red Blood Cell Distribution Is a Significant Predictor of Severe Illness in Coronavirus Disease 2019.

机构信息

Section of Clinical Biochemistry, University of Verona, Verona, Italy,

Cardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

出版信息

Acta Haematol. 2021;144(4):360-364. doi: 10.1159/000510914. Epub 2020 Aug 25.

Abstract

INTRODUCTION

As red blood cell distribution width (RDW) significantly predicts clinical outcomes in patients with respiratory tract infections and in those with critical illnesses, we performed a critical analysis of the literature to explore the potential prognostic role of this laboratory parameter in coronavirus disease 2019 (COVID-19).

METHODS

An electronic search was conducted in Medline, Scopus and Web of Science, using the keywords "coronavirus disease 2019" OR "COVID-19" AND "red blood cell distribution width" OR "RDW" in all fields, up to the present time, with no language restriction. Studies reporting the value of RDW-CV in CO-VID-19 patients with or without severe illness were included in a pooled analysis.

RESULTS

The pooled analysis included 3 studies, totaling 11,445 COVID-19 patients' samples (2,654 with severe disease; 23.2%). In all investigations RDW-CV was higher in COVID-19 patients with severe illness than in those with mild disease, with differences between 0.30 and 0.70%. The pooled analysis, despite consistent heterogeneity (I2: 88%), revealed that the absolute RDW-CV value was 0.69% higher (95% CI 0.40-0.98%; p < 0.001) in COVID-19 patients with severe illness compared to those with mild disease.

CONCLUSION

These results, along with data published in other studies, support the use of RDW for assessing the risk of unfavorable COVID-19 progression.

摘要

简介

红细胞分布宽度(RDW)显著预测呼吸道感染和危重病患者的临床结局,因此我们对文献进行了严格分析,以探讨该实验室参数在 2019 年冠状病毒病(COVID-19)中的潜在预后作用。

方法

在 Medline、Scopus 和 Web of Science 中进行电子检索,使用关键词“2019 年冠状病毒病”或“COVID-19”以及“红细胞分布宽度”或“RDW”在所有字段中进行检索,截至目前,无语言限制。对报告 COVID-19 患者无论是否患有严重疾病,RDW-CV 值的研究进行了汇总分析。

结果

汇总分析包括 3 项研究,共纳入 11445 例 COVID-19 患者的样本(2654 例严重疾病;23.2%)。在所有研究中,RDW-CV 在患有严重疾病的 COVID-19 患者中均高于患有轻症的患者,差异在 0.30 至 0.70%之间。尽管存在一致的异质性(I2:88%),汇总分析显示,与轻症患者相比,严重疾病 COVID-19 患者的绝对 RDW-CV 值高 0.69%(95%CI 0.40-0.98%;p < 0.001)。

结论

这些结果以及其他研究发表的数据支持使用 RDW 评估 COVID-19 不良进展的风险。

相似文献

引用本文的文献

10
COVID-19 and erythrocrine function: The roller coaster and danger.COVID-19 与红细胞功能:过山车与危险。
Int J Immunopathol Pharmacol. 2022 Jan-Dec;36:3946320221103151. doi: 10.1177/03946320221103151.

本文引用的文献

1
Red Blood Cell Distribution Width in Hospitalized COVID-19 Patients.住院COVID-19患者的红细胞分布宽度
Front Med (Lausanne). 2022 Jan 7;8:582403. doi: 10.3389/fmed.2021.582403. eCollection 2021.
10
Co-infection with respiratory pathogens among COVID-2019 cases.COVID-19 病例中呼吸道病原体的合并感染。
Virus Res. 2020 Aug;285:198005. doi: 10.1016/j.virusres.2020.198005. Epub 2020 May 11.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验