COVID-19中预测静脉血栓栓塞和死亡的凝血和炎症综合指标

Jaja Zhu, Raïda Bouzid, B. Travert, Guillaume Géri, Yves Cohen, Adrien Picod, Nicholas Heming, Martin Rottman, Bérangère Joly-Laffargue, A. Veyradier, Claude Capron, P. Coppo
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摘要

与 SARS-CoV-2 病毒有关的 COVID-19 大流行是全球大流行的罪魁祸首。该病的严重形式与免疫途径的过度激活、全身细胞因子风暴反应和血栓性静脉或动脉并发症有关。我们研究了凝血或炎症通路中预后因素的作用,以更好地了解该疾病的预后。为此,我们对四家学术医院重症监护室(ICU)或急诊科入院的 167 名 SARS-CoV-2 阳性患者进行了为期 14 个月的前瞻性研究。除标准生物学指标外,我们还评估了血清中炎症标志物、凝血因子和外周血细胞免疫分型的浓度。通过单变量分析,C反应蛋白(CRP)水平> 150 mg/L,白细胞介素-6(IL-6)≥ 20 pg/mL,D-二聚体> 1,500 μg/L,ADAMTS13活性≤50%,VonA结合凝血和炎症标志物可完善COVID-19严重后果的预后,并可用于其他类型病毒感染的初步评估。
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Combined coagulation and inflammation markers as predictors of venous thrombo-embolism and death in COVID-19
The COVID-19 pandemic related to SARS-CoV-2 virus was responsible for global pandemic. The severe form of the disease was linked to excessive activation of immune pathways together with a systemic cytokine storm response and thrombotic venous or arterial complications. Factors predicting severe outcomes including venous and/or pulmonary thrombosis (VT) and death were identified, but the prognostic role of their combination was not addressed extensively.We investigated the role of prognostic factors from the coagulation or inflammatory pathways to better understand the outcome of the disease.For this, we prospectively studied 167 SARS-CoV-2-positive patients from admission in intensive care units (ICU) or emergency departments from four academic hospitals over a 14-month period. Besides standard biology, we assessed serum concentrations of inflammatory markers, coagulation factors and peripheral blood cells immunophenotyping.Thirty-nine patients (23.3%) developed VT and 30 patients (18%) died. By univariate analysis, C-reactive protein (CRP) level > 150 mg/L, interleukin-6 (IL-6) ≥ 20 pg/mL, D-dimers > 1,500 μg/L, ADAMTS13 activity ≤ 50%, VonA combination of coagulation and inflammatory markers can refine the prognostication of severe outcome in COVID-19, and could be useful for the initial evaluation of other types of viral infection.
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