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Dataset Information

Development and Validation of ARC, a Model for Anticipating Acute Respiratory Failure in Coronavirus Disease 2019 Patients.


ABSTRACT:

Objectives

To evaluate factors predictive of clinical progression among coronavirus disease 2019 patients following admission, and whether continuous, automated assessments of patient status may contribute to optimal monitoring and management.

Design

Retrospective cohort for algorithm training, testing, and validation.

Setting

Eight hospitals across two geographically distinct regions.

Patients

Two-thousand fifteen hospitalized coronavirus disease 2019-positive patients.

Interventions

None.

Measurements and main results

Anticipating Respiratory failure in Coronavirus disease (ARC), a clinically interpretable, continuously monitoring prognostic model of acute respiratory failure in hospitalized coronavirus disease 2019 patients, was developed and v

SUBMITTER: Saria S 

PROVIDER: S-EPMC8177871 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature