Development and validation of the HNC-LL score for predicting the severity of coronavirus disease 2019.

ABSTRACT:

Background

Information regarding risk factors associated with severe coronavirus disease (COVID-19) is limited. This study aimed to develop a model for predicting COVID-19 severity.

Methods

Overall, 690 patients with confirmed COVID-19 were recruited between 1 January and 18 March 2020 from hospitals in Honghu and Nanchang; finally, 442 patients were assessed. Data were categorised into the training and test sets to develop and validate the model, respectively.

Findings

A predictive HNC-LL (Hypertension, Neutrophil count, C-reactive protein, Lymphocyte count, Lactate dehydrogenase) score was established using multivariate logistic regression analysis. The HNC-LL score accurately predicted disease severity in the Honghu training cohort (area under the curve [AUC]=0.861

SUBMITTER: Xiao LS 

PROVIDER: S-EPMC7338276 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature