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Dataset Information

Derivation of a Clinical Risk Score to Predict 14-Day Occurrence of Hypoxia, ICU Admission, and Death Among Patients with Coronavirus Disease 2019.


ABSTRACT:

Background

Uncertainty surrounding COVID-19 regarding rapid progression to acute respiratory distress syndrome and unusual clinical characteristics make discharge from a monitored setting challenging. A clinical risk score to predict 14-day occurrence of hypoxia, ICU admission, and death is unavailable.

Objective

Derive and validate a risk score to predict suitability for discharge from a monitored setting among an early cohort of patients with COVID-19.

Design

Model derivation and validation in a retrospective cohort. We built a manual forward stepwise logistic regression model to identify variables associated with suitability for discharge and assigned points to each variable. Event-free patients were included after at least 14 days of follow-up.

Participants

SUBMITTER: Levine DM 

PROVIDER: S-EPMC7713904 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature