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Covid-19:临床特征和实验室特征对早期发现高危重症患者的贡献。

Covid-19: contribution of clinical characteristics and laboratory features for early detection of patients with high risk of severe evolution.

机构信息

Department of Laboratory Medicine, CHR Citadelle, Liège, Belgium.

Department of Mathematics, University of Liège, Liège, Belgium.

出版信息

Acta Clin Belg. 2022 Apr;77(2):261-267. doi: 10.1080/17843286.2020.1822078. Epub 2020 Sep 16.

DOI:10.1080/17843286.2020.1822078
PMID:32935644
Abstract

BACKGROUND

The aim of this study was to identify early clinical and laboratory predictive factors of a severe coronavirus disease 2019 (COVID-19).

METHODS

A retrospective study was conducted on adult patients hospitalized for COVID-19 in our hospital. Diagnosis was based on a positive real-time reverse transcription-polymerase chain reaction (RT-PCR) on nasopharyngeal samples. The cohort was divided into two groups, i.e. a favorable evolution (FE) group and an unfavorable evolution (UFE) group, including intensive care unit (ICU) and deceased patients.Results: A total of 198 patients were enrolled in the study, with 138 FE (70%) and 60 UFE (30%). Older age, male gender, comorbidities and dyspnea at admission constituted significantly worse prognosis factors. Among laboratory features, lymphocyte and platelet counts as well as corrected glomerular filtration rate were significantly lower in UFE patients, while neutrophil to lymphocyte ratio, inflammation biomarkers, creatinine, aspartate aminotransferase, lactate dehydrogenase (LDH), glycemia and D-dimer were significantly higher. Procalcitonin and LDH appeared as the most accurate variables according to receiver operating characteristic curves.

CONCLUSIONS

This Belgian study revealed clinical and laboratory features able to predict high risk of ICU requirement, or even death, at admission time. These results provide a potential tool for patient's triage in a context of pandemic.: COVID-19: coronavirus disease 2019; ARDS: acute respiratory distress syndrome; DIC: disseminated intravascular coagulopathy; MOF: multi-organ failure; RT-PCR: real-time reverse transcription-polymerase chain reaction; UFE: unfavorable evolution; ICU: intensive care unit; EDTA: ethylenediamine tetraacetic acid; WBC: white blood cell count; Hb: hemoglobin level; PCT: procalcitonin; Na: sodium; K: potassium; PT: total protein, CRP: c-reactive protein; Cr: creatinine; ALAT: alanine aminotransferase; ALAT: aspartate aminotransferase; TB: total bilirubin, LDH: lactate dehydrogenase, FERR: ferritin; hs-Tnt: high sensitive-troponin T; cGFR: corrected glomerular filtration rate; QR: quick ratio; DDIM: D-dimer; FIB: fibrinogen; SD: standard deviation; IQR: interquartile ranges; ROC: receiver operating characteristics; ECMO: extracorporeal membrane oxygenation; NLR: neutrophil to lymphocyte ratio; AUC: area under the curve; BMI: body mass index.

摘要

背景

本研究旨在确定严重 2019 年冠状病毒病(COVID-19)的早期临床和实验室预测因素。

方法

对我院收治的 COVID-19 成年住院患者进行回顾性研究。诊断基于鼻咽样本的实时逆转录聚合酶链反应(RT-PCR)阳性。队列分为两组,即预后良好(FE)组和预后不良(UFE)组,包括重症监护病房(ICU)和死亡患者。

结果

共纳入 198 例患者,FE 组 138 例(70%),UFE 组 60 例(30%)。年龄较大、男性、合并症和入院时呼吸困难是预后较差的显著因素。在实验室特征中,UFE 患者的淋巴细胞和血小板计数以及校正肾小球滤过率明显较低,而中性粒细胞与淋巴细胞比值、炎症标志物、肌酐、天门冬氨酸氨基转移酶、乳酸脱氢酶(LDH)、血糖和 D-二聚体明显较高。降钙素原和 LDH 根据受试者工作特征曲线显示为最准确的变量。

结论

这项比利时研究揭示了入院时能够预测入住 ICU 或死亡高风险的临床和实验室特征。这些结果为大流行背景下患者分诊提供了一种潜在工具。

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