A novel epidemiological scoring system for the prediction of mortality in COVID-19 patients

202110 citationsJournal Articlebronze Open Access

Authors

Prabhakar Mishra · Institute for Medical Informatics and Biostatistics

Ratender Kumar Singh

Alok Nath · Pulmonary Associates

Shantanu Pande

Anil Agarwal · European Society of Anaesthesiology

Om Prakash Sanjeev

Devendra Gupta · European Society of Anaesthesiology

Prateek Singh · European Society of Anaesthesiology

Abstract

The CSS shows a positive relationship between a higher score and proportion of mortality and, as its validation showed, it is useful for the prediction of risk of mortality in COVID-19 patients at an early stage, so that referral for triage and admission can be predetermined even before admission to hospital.

Topics & Keywords

COVID-19 diagnosis using AI COVID-19 Clinical Research Studies COVID-19 epidemiological studies

Publication Details

Published in: Transactions of the Royal Society of Tropical Medicine and Hygiene

Volume 116, Issue 5, pp. 409-416

DOI: 10.1093/trstmh/trab108

Field-Weighted Citation Impact: 1.37

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A novel epidemiological scoring system for the prediction of mortality in COVID-19 patients

Authors

Abstract

Topics & Keywords

Publication Details