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Dataset Information

Development and validation of a dynamic 48-hour in-hospital mortality risk stratification for COVID-19 in a UK teaching hospital: a retrospective cohort study.


ABSTRACT:

Objectives

To develop a disease stratification model for COVID-19 that updates according to changes in a patient's condition while in hospital to facilitate patient management and resource allocation.

Design

In this retrospective cohort study, we adopted a landmarking approach to dynamic prediction of all-cause in-hospital mortality over the next 48 hours. We accounted for informative predictor missingness and selected predictors using penalised regression.

Setting

All data used in this study were obtained from a single UK teaching hospital.

Participants

We developed the model using 473 consecutive patients with COVID-19 presenting to a UK hospital between 1 March 2020 and 12 September 2020; and temporally validated using data on 1119 patients presenting betwee

SUBMITTER: Wiegand M 

PROVIDER: S-EPMC9445230 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature