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Dataset Information

Development and validation of a prognostic 40-day mortality risk model among hospitalized patients with COVID-19.


ABSTRACT:

Objectives

The development of a prognostic mortality risk model for hospitalized COVID-19 patients may facilitate patient treatment planning, comparisons of therapeutic strategies, and public health preparations.

Methods

We retrospectively reviewed the electronic health records of patients hospitalized within a 13-hospital New Jersey USA network between March 1, 2020 and April 22, 2020 with positive polymerase chain reaction results for SARS-CoV-2, with follow-up through May 29, 2020. With death or hospital discharge by day 40 as the primary endpoint, we used univariate followed by stepwise multivariate proportional hazard models to develop a risk score on one-half the data set, validated on the remainder, and converted the risk score into a patient-level predictive probabil

SUBMITTER: Berry DA 

PROVIDER: S-EPMC8323891 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature