A nomogram predicting severe COVID-19 based on a large study cohort from China.

ABSTRACT:

Background

The use of accurate prediction tools and early intervention are important for addressing severe coronavirus disease 2019 (COVID-19). However, the prediction models for severe COVID-19 available to date are subject to various biases. This study aimed to construct a nomogram to provide accurate, personalized predictions of the risk of severe COVID-19.

Methods

This study was based on a large, multicenter retrospective derivation cohort and a validation cohort. The derivation cohort consisted of 496 patients from Jiangsu Province, China, between January 10, 2020, and March 15, 2020, and the validation cohort contained 105 patients from Huangshi, Hunan Province, China, between January 21, 2020, and February 29, 2020. A nomogram was developed with the selected predictor

SUBMITTER: Liu S 

PROVIDER: S-EPMC8351305 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature