Rule-Based Cohort Definitions for Acute Respiratory Distress Syndrome: A Computable Phenotyping Strategy Based on the Berlin Definition.

ABSTRACT: Accurate identification of acute respiratory distress syndrome is essential for understanding its epidemiology, patterns of care, and outcomes. We aimed to design a computable phenotyping strategy to detect acute respiratory distress syndrome in electronic health records of critically ill patients.

Design

This is a retrospective cohort study. Using a near real-time copy of the electronic health record, we developed a computable phenotyping strategy to detect acute respiratory distress syndrome based on the Berlin definition.

Setting

Twenty multidisciplinary ICUs in Mayo Clinic Health System.

Subjects

The phenotyping strategy was applied to 196,487 consecutive admissions from year 2009 to 2019.

Interventions

The acute respiratory distress syndrome cohort generate

SUBMITTER: Li H 

PROVIDER: S-EPMC8202583 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature