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Dataset Information

Progression of severity in coronavirus disease 2019 patients before treatment and a self-assessment scale to predict disease severity.


ABSTRACT:

Objectives

This study aims to further investigate the association of COVID-19 disease severity with numerous patient characteristics, and to develop a convenient severity prediction scale for use in self-assessment at home or in preliminary screening in community healthcare settings.

Setting and participants

Data from 45,450 patients infected with COVID-19 from January 1 to February 27, 2020 were extracted from the municipal Notifiable Disease Report System in Wuhan, China.

Primary and secondary outcome measures

We categorized COVID-19 disease severity, based on The Chinese Diagnosis and Treatment Protocol for COVID-19, as "nonsevere" (which grouped asymptomatic, mild, and ordinary disease) versus "severe" (grouping severe and critical illness).

Results

Twelve

SUBMITTER: Yao Y 

PROVIDER: S-EPMC9040356 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature