Development of Severe COVID-19 Adaptive Risk Predictor (SCARP), a Calculator to Predict Severe Disease or Death in Hospitalized Patients With COVID-19.

ABSTRACT:

Background

Predicting the clinical trajectory of individual patients hospitalized with coronavirus disease 2019 (COVID-19) is challenging but necessary to inform clinical care. The majority of COVID-19 prognostic tools use only data present upon admission and do not incorporate changes occurring after admission.

Objective

To develop the Severe COVID-19 Adaptive Risk Predictor (SCARP) (https://rsconnect.biostat.jhsph.edu/covid_trajectory/), a novel tool that can provide dynamic risk predictions for progression from moderate disease to severe illness or death in patients with COVID-19 at any time within the first 14 days of their hospitalization.

Design

Retrospective observational cohort study.

Settings

Five hospitals in Maryland and Washington, D.C.

Patients<

SUBMITTER: Wongvibulsin S 

PROVIDER: S-EPMC7934337 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature