ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019.

ABSTRACT:

Background

Patients with severe Coronavirus Disease 2019 (COVID-19) will progress rapidly to acute respiratory failure or death. We aimed to develop a quantitative tool for early predicting mortality risk of patients with COVID-19.

Methods

301 patients with confirmed COVID-19 admitted to Main District and Tumor Center of the Union Hospital of Huazhong University of Science and Technology (Wuhan, China) between January 1, 2020 to February 15, 2020 were enrolled in this retrospective two-centers study. Data on patient demographic characteristics, laboratory findings and clinical outcomes was analyzed. A nomogram was constructed to predict the death probability of COVID-19 patients.

Results

Age, neutrophil-to-lymphocyte ratio, D-dimer and C-reactive protein obtained on a

SUBMITTER: Weng Z 

PROVIDER: S-EPMC7457219 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature