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与 2019 年冠状病毒病(COVID-19)严重疾病和死亡相关的血液学、生物化学和免疫生物标志物异常:荟萃分析。

Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis.

机构信息

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

Department of Statistics, Federal University of Parana, Curitiba, Brazil.

出版信息

Clin Chem Lab Med. 2020 Jun 25;58(7):1021-1028. doi: 10.1515/cclm-2020-0369.

Abstract

Background As coronavirus disease 2019 (COVID-19) pandemic rages on, there is urgent need for identification of clinical and laboratory predictors for progression towards severe and fatal forms of this illness. In this study we aimed to evaluate the discriminative ability of hematologic, biochemical and immunologic biomarkers in patients with and without the severe or fatal forms of COVID-19. Methods An electronic search in Medline (PubMed interface), Scopus, Web of Science and China National Knowledge Infrastructure (CNKI) was performed, to identify studies reporting on laboratory abnormalities in patients with COVID-19. Studies were divided into two separate cohorts for analysis: severity (severe vs. non-severe and mortality, i.e. non-survivors vs. survivors). Data was pooled into a meta-analysis to estimate weighted mean difference (WMD) with 95% confidence interval (95% CI) for each laboratory parameter. Results A total number of 21 studies was included, totaling 3377 patients and 33 laboratory parameters. While 18 studies (n = 2984) compared laboratory findings between patients with severe and non-severe COVID-19, the other three (n = 393) compared survivors and non-survivors of the disease and were thus analyzed separately. Patients with severe and fatal disease had significantly increased white blood cell (WBC) count, and decreased lymphocyte and platelet counts compared to non-severe disease and survivors. Biomarkers of inflammation, cardiac and muscle injury, liver and kidney function and coagulation measures were also significantly elevated in patients with both severe and fatal COVID-19. Interleukins 6 (IL-6) and 10 (IL-10) and serum ferritin were strong discriminators for severe disease. Conclusions Several biomarkers which may potentially aid in risk stratification models for predicting severe and fatal COVID-19 were identified. In hospitalized patients with respiratory distress, we recommend clinicians closely monitor WBC count, lymphocyte count, platelet count, IL-6 and serum ferritin as markers for potential progression to critical illness.

摘要

背景

随着 2019 年冠状病毒病(COVID-19)大流行的肆虐,迫切需要确定临床和实验室预测因子,以预测这种疾病向严重和致命形式的进展。在这项研究中,我们旨在评估血液学、生化和免疫学生物标志物在患有 COVID-19 严重或致命形式的患者中的鉴别能力。

方法

在 Medline(PubMed 接口)、Scopus、Web of Science 和中国国家知识基础设施(CNKI)上进行电子检索,以确定报告 COVID-19 患者实验室异常的研究。研究分为两个独立的队列进行分析:严重程度(严重与非严重和死亡率,即非幸存者与幸存者)。将数据汇总到荟萃分析中,以估计每个实验室参数的加权均数差(WMD)及其 95%置信区间(95%CI)。

结果

共纳入 21 项研究,共纳入 3377 名患者和 33 项实验室参数。18 项研究(n=2984)比较了严重和非严重 COVID-19 患者的实验室结果,另外 3 项研究(n=393)比较了疾病的幸存者和非幸存者,并分别进行了分析。与非严重疾病和幸存者相比,患有严重和致命疾病的患者的白细胞(WBC)计数显著增加,淋巴细胞和血小板计数降低。炎症、心脏和肌肉损伤、肝肾功能和凝血措施的生物标志物在患有严重和致命 COVID-19 的患者中也显著升高。白细胞介素 6(IL-6)和 10(IL-10)和血清铁蛋白是严重疾病的强鉴别指标。

结论

确定了一些可能有助于预测严重和致命 COVID-19 的风险分层模型的生物标志物。在因呼吸窘迫住院的患者中,我们建议临床医生密切监测白细胞计数、淋巴细胞计数、血小板计数、IL-6 和血清铁蛋白,作为潜在进展为重症疾病的标志物。

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