A Computable Electronic Health Record ARDS Classifier and the Association Between the <i>MUC5B</i> Promoter Polymorphism and ARDS in Critically Ill Adults.

ABSTRACT:

Background

Large population-based DNA biobanks linked to electronic health records (EHRs) may provide novel opportunities to identify genetic drivers of ARDS.

Research question

Can a computerized algorithm identify ARDS in a large EHR biobank database, and can this be used to identify ARDS genetic risk factors?

Study design and methods

We developed a classifier algorithm to identify a diagnosis of ARDS as identified from the electronic health record (EHR-ARDS) using diagnostic billing codes, laboratory test results, and chest radiography report text. The classifier model performance was evaluated against investigator-adjudicated ARDS using standard classification metrics including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NP

SUBMITTER: Kerchberger VE 

PROVIDER: S-EPMC12867120 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature