Suppr超能文献

新型冠状病毒肺炎患者的全血细胞计数改变:一篇叙述性综述。

Complete blood count alterations in COVID-19 patients: A narrative review.

机构信息

Emergency Department, Umberto I University Hospital, Rome, Italy.

出版信息

Biochem Med (Zagreb). 2021 Oct 15;31(3):030501. doi: 10.11613/BM.2021.030501.

Abstract

Coronavirus disease 2019 (COVID-19) pandemic represents a scientific and social crisis. One of the main unmet needs for coronavirus disease 2019 is its unpredictable clinical course, which can rapidly change in an irreversible outcome. COVID-19 patients can be classified into mild, moderate, and severe. Several haematological parameters, such as platelets, white blood cell total count, lymphocytes, neutrophils, (together with neutrophil-lymphocyte and platelet-lymphocyte ratio), and haemoglobin were described to be associated with COVID-19 infection and severity. The purpose of these review is to describe the current state of the art about complete blood count alterations during COVID-19 infection, and to summarize the crucial role of some haematological parameters during the course of the disease. Decreased platelet, lymphocyte, haemoglobin, eosinophil, and basophil count, increased neutrophil count and neutrophil-lymphocyte and platelet-lymphocyte ratio have been associated with COVID-19 infection and a worse clinical outcome. Our study adds some novelty about the identification of effective biomarkers of progressive disease, and might be helpful for diagnosis, prevention of complications, and effective therapy.

摘要

2019 年冠状病毒病(COVID-19)大流行是一场科学和社会危机。冠状病毒病 2019 的主要未满足需求之一是其不可预测的临床过程,其临床过程可能会迅速朝着不可逆转的结果变化。COVID-19 患者可分为轻症、中度和重症。几项血液学参数,如血小板、白细胞总数、淋巴细胞、中性粒细胞、(中性粒细胞-淋巴细胞和血小板-淋巴细胞比值)和血红蛋白,被描述与 COVID-19 感染和严重程度有关。本综述的目的是描述 COVID-19 感染期间全血细胞计数改变的最新进展,并总结疾病过程中一些血液学参数的关键作用。血小板、淋巴细胞、血红蛋白、嗜酸性粒细胞和嗜碱性粒细胞计数减少,中性粒细胞计数和中性粒细胞-淋巴细胞及血小板-淋巴细胞比值增加与 COVID-19 感染和较差的临床结局相关。我们的研究增加了关于识别进行性疾病有效生物标志物的一些新颖性,这可能有助于诊断、预防并发症和有效治疗。

相似文献

引用本文的文献

3
Clinical Characteristics and Prognostic Factors of Severe COVID-19.重症新型冠状病毒肺炎的临床特征及预后因素
Infect Drug Resist. 2025 Jun 25;18:3117-3125. doi: 10.2147/IDR.S525970. eCollection 2025.

本文引用的文献

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