Development and validation of a prediction model based on comorbidities to estimate the risk of in-hospital death in patients with COVID-19.

ABSTRACT:

Background

Most existing prognostic models of COVID-19 require imaging manifestations and laboratory results as predictors, which are only available in the post-hospitalization period. Therefore, we aimed to develop and validate a prognostic model to assess the in-hospital death risk in COVID-19 patients using routinely available predictors at hospital admission.

Methods

We conducted a retrospective cohort study of patients with COVID-19 using the Healthcare Cost and Utilization Project State Inpatient Database in 2020. Patients hospitalized in Eastern United States (Florida, Michigan, Kentucky, and Maryland) were included in the training set, and those hospitalized in Western United States (Nevada) were included in the validation set. Discrimination, calibration, and clinic

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC10254410 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature