作者
Brandon Michael Henry, Maria Helena Santos De Oliveira, Stefanie Benoit, Mario Plebani, Giuseppe Lippi
发表日期
2020/7/1
来源
Clinical Chemistry and Laboratory Medicine (CCLM)
卷号
58
期号
7
页码范围
1021-1028
出版商
De Gruyter
简介
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, ie 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 …
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BM Henry, MHS De Oliveira, S Benoit, M Plebani… - Clinical Chemistry and Laboratory Medicine (CCLM), 2020