Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

202156 citationsReviewgold Open Access

Authors

Stephan Katzenschlager · Heidelberg University

A. Zimmer · McGill University

Claudius Gottschalk · Heidelberg University

Juergen Grafeneder · Medical University of Vienna

Stephani Schmitz · Heidelberg University

Sara Kraker · Heidelberg University

Marlene Ganslmeier ·

Abstract

This comprehensive meta-analysis found age, cerebrovascular disease, CRP, LDH and cTnI to be the most important risk-factors that predict severe COVID-19 outcomes and will inform clinical scores to support early decision-making.

Topics & Keywords

COVID-19 Clinical Research Studies COVID-19 and healthcare impacts Long-Term Effects of COVID-19

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: PLoS ONE

Volume 16, Issue 7, pp. e0255154-e0255154

DOI: 10.1371/journal.pone.0255154

Field-Weighted Citation Impact: 3.32