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

Authors: Henry, Brandon Michael et. al.;

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

Abstract

In the fight against coronavirus disease 2019 (COVID-19), now a worldwide pandemic, urgent identification of clinical and laboratory predictors of progression towards severe and fatal forms is urgently needed. These predictors will enable risk stratification, guide interventional studies to target patients at enhanced risk of developing severe disease and optimize allocation of limited human and technical resources in the ongoing pandemic. Moreover, identification of laboratory parameters capable of discriminating between severe and non-severe cases, or those at high or low risk of mortality, will allow for improved clinical situational awareness. Though similarities are noted between COVID-19 and the severe acute respiratory syndrome (SARS), the World Health Organization (WHO) has observed differences in the clinical picture of the diseases caused by the two viruses. We have previously described the typical laboratory changes in both children and adults with COVID-19, observing some notable differences in laboratory parameters between COVID-19 and SARS viruses. In earlier reports, we have identified procalcitonin and platelet count as potential predictors of disease severity. However, with an increased volume of COVID-19 reports now published, it has enabled a more comprehensive analysis of laboratory data that is urgently needed by the medical and scientific communities. The aim of this study was to analyze laboratory abnormalities in patients with COVID-19, in order to define which parameters can discriminate between those who are at higher risk of developing severe vs. non-severe forms of disease, as well as those who are less likely to survive.

Keywords

Blood Platelets, Coronavirus, Infectious Diseases, Platelet Count, COVID-19, Hematology, Mortality, Laboratories, Severe Acute Respiratory Syndrome, Procalcitonin

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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