Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19.

ABSTRACT:

Background

Patients with coronavirus disease 2019 (COVID-19) requiring mechanical ventilation have high mortality and resource utilisation. The ability to predict which patients may require mechanical ventilation allows increased acuity of care and targeted interventions to potentially mitigate deterioration.

Methods

We included hospitalised patients with COVID-19 in this single-centre retrospective observational study. Our primary outcome was mechanical ventilation or death within 24 h. As clinical decompensation is more recognisable, but less modifiable, as the prediction window shrinks, we also assessed 4, 8, and 48 h prediction windows. Model features included demographic information, laboratory results, comorbidities, medication administration, and vital signs. We creat

SUBMITTER: Douville NJ 

PROVIDER: S-EPMC7833820 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature