Novel risk scoring system for predicting acute respiratory distress syndrome among hospitalized patients with coronavirus disease 2019 in Wuhan, China.

ABSTRACT:

Background

The mortality rate from acute respiratory distress syndrome (ARDS) is high among hospitalized patients with coronavirus disease 2019 (COVID-19). Hence, risk evaluation tools are required to immediately identify high-risk patients upon admission for early intervention.

Methods

A cohort of 220 consecutive patients with COVID-19 were included in this study. To analyze the risk factors of ARDS, data obtained from approximately 70% of the participants were randomly selected and used as training dataset to establish a logistic regression model. Meanwhile, data obtained from the remaining 30% of the participants were used as test dataset to validate the effect of the model.

Results

Lactate dehydrogenase, blood urea nitrogen, D-dimer, procalcitonin, and ferritin le

SUBMITTER: Liang M 

PROVIDER: S-EPMC7744733 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature