Unknown

Dataset Information

Automated Electronic Phenotyping of Cardioembolic Stroke.


ABSTRACT:

Background and purpose

Oral anticoagulation is generally indicated for cardioembolic strokes, but not for other stroke causes. Consequently, subtype classification of ischemic stroke is important for risk stratification and secondary prevention. Because manual classification of ischemic stroke is time-intensive, we assessed the accuracy of automated algorithms for performing cardioembolic stroke subtyping using an electronic health record (EHR) database.

Methods

We adapted TOAST (Trial of ORG 10172 in Acute Stroke Treatment) features associated with cardioembolic stroke for derivation in the EHR. Using administrative codes and echocardiographic reports within Mass General Brigham Biobank (N=13 079), we iteratively developed EHR-based algorithms to define the TOAST cardioembo

SUBMITTER: Guan W 

PROVIDER: S-EPMC7769922 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature