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基本预测 COVID-19 患者细胞因子风暴的风险因素。

Basic Predictive Risk Factors for Cytokine Storms in COVID-19 Patients.

机构信息

City Hospital №40, Saint Petersburg, Russia.

Department of Postgraduate Medical Education, Saint Petersburg State University, Saint Petersburg, Russia.

出版信息

Front Immunol. 2021 Nov 10;12:745515. doi: 10.3389/fimmu.2021.745515. eCollection 2021.

Abstract

OBJECTIVE

A critical role in coronavirus disease 2019 (COVID-19) pathogenesis is played by immune dysregulation that leads to a generalized uncontrolled multisystem inflammatory response, caused by overproduction of proinflammatory cytokines, known as "a cytokine storm" (CS), strongly associated with a severe course of disease. The aim of this study is to identify prognostic biomarkers for CS development in COVID-19 patients and integrate them into a prognostic score for CS-associated risk applicable to routine clinical practice.

MATERIALS AND METHODS

The authors performed a review of 458 medical records from COVID-19 patients (241 men and 217 women aged 60.0 ± 10.0) who received treatment in the St. Petersburg State Budgetary Institution of Healthcare City Hospital 40 (City Hospital 40, St. Petersburg), from Apr. 18, 2020 to Nov. 21, 2020. The patients were split in two groups: one group included 100 patients with moderate disease symptoms; the other group included 358 patients with progressive moderately severe, severe, and extremely severe disease. The National Early Warning Score (NEWS) score was used alongside with clinical assessment, chest computed tomographic (CT) scans, electrocardiography (ECG), and lab tests, like ferritin, C-reactive protein (CRP), interleukin (IL)-6, lactate dehydrogenase (LDH), and D-dimer.

RESULTS

The basic risk factors for cytokine storms in COVID-19 patients are male gender, age over 40 years, positive test result for replicative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA, absolute lymphocyte count, dynamics in the NEWS score, as well as LDH, D-dimer, ferritin, and IL-6 levels. These clinical and instrumental findings can be also used as laboratory biomarkers for diagnosis and dynamic monitoring of cytokine storms. The suggested prognostic scale (including the NEWS score dynamics; serum IL-6 greater than 23 pg/ml; serum CRP 50 mg/L or greater; absolute lymphocyte count less than 0.72 × 10/L; positive test result for replicative coronavirus (SARS-CoV-2) RNA; age 40 years and over) is a useful tool to identify patients at a high risk for cytokine storm, requiring an early onset of anti-inflammatory therapy.

摘要

目的

免疫失调在 2019 年冠状病毒病(COVID-19)发病机制中起着关键作用,导致过度产生促炎细胞因子的全身性不受控制的多系统炎症反应,即“细胞因子风暴”(CS),与疾病的严重程度密切相关。本研究旨在确定 COVID-19 患者发生 CS 的预后生物标志物,并将其整合到适用于常规临床实践的 CS 相关风险的预后评分中。

材料和方法

作者对 2020 年 4 月 18 日至 2020 年 11 月 21 日在圣彼得堡市第 40 家市立医疗机构(City Hospital 40,圣彼得堡)接受治疗的 458 例 COVID-19 患者(241 名男性和 217 名女性,年龄 60.0±10.0 岁)的医疗记录进行了回顾性分析。这些患者分为两组:一组包括 100 例症状中等的患者,另一组包括 358 例病情逐渐加重为中度严重、严重和极严重的患者。除了临床评估、胸部计算机断层扫描(CT)、心电图(ECG)和实验室检查(如铁蛋白、C 反应蛋白(CRP)、白细胞介素(IL)-6、乳酸脱氢酶(LDH)和 D-二聚体)外,作者还使用了国家早期预警评分(NEWS)评分。

结果

COVID-19 患者发生细胞因子风暴的基本危险因素为男性、年龄>40 岁、复制性严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)RNA 检测阳性、绝对淋巴细胞计数、NEWS 评分的变化以及 LDH、D-二聚体、铁蛋白和 IL-6 水平。这些临床和仪器检查结果也可作为细胞因子风暴诊断和动态监测的实验室生物标志物。建议的预后评分(包括 NEWS 评分变化;血清 IL-6 >23pg/ml;血清 CRP >50mg/L;绝对淋巴细胞计数<0.72×10/L;复制性冠状病毒(SARS-CoV-2)RNA 检测阳性;年龄>40 岁)是一种有用的工具,可用于识别发生细胞因子风暴风险高的患者,需要早期开始抗炎治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef8/8631447/8dc867a3b2f8/fimmu-12-745515-g001.jpg

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