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Predicting Disease Severity and Outcome in COVID-19 Patients: A Review of Multiple Biomarkers
Journal article   Peer reviewed

Predicting Disease Severity and Outcome in COVID-19 Patients: A Review of Multiple Biomarkers

Youley Tjendra, Abdulaziz F Al Mana, Andrea P Espejo, Yamac Akgun, Nicolas C Millan, Carmen Gomez-Fernandez and Carolyn Cray
Archives of pathology & laboratory medicine (1976), Vol.144(12), pp.1465-1474
2020-12-01
PMID: 32818235

Abstract

Severity of Illness Index COVID-19 - therapy Prognosis Global Health COVID-19 - blood Humans Hospitalization Biomarkers - blood COVID-19 - mortality COVID-19 Testing - methods COVID-19 - diagnosis

InCites Highlights

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Citation topics
1 Clinical & Life Sciences
1.104 Virology - General
1.104.1353 Coronavirus
Web Of Science research areas
Medical Laboratory Technology
Medicine, Research & Experimental
Pathology
ESI research areas
Clinical Medicine

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

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