Development of an automated phenotyping algorithm for hepatorenal syndrome.

ABSTRACT:

Objective

Hepatorenal Syndrome (HRS) is a devastating form of acute kidney injury (AKI) in advanced liver disease patients with high morbidity and mortality, but phenotyping algorithms have not yet been developed using large electronic health record (EHR) databases. We evaluated and compared multiple phenotyping methods to achieve an accurate algorithm for HRS identification.

Materials and methods

A national retrospective cohort of patients with cirrhosis and AKI admitted to 124 Veterans Affairs hospitals was assembled from electronic health record data collected from 2005 to 2013. AKI was defined by the Kidney Disease: Improving Global Outcomes criteria. Five hundred and four hospitalizations were selected for manual chart review and served as the gold standard. Electronic

SUBMITTER: Koola JD 

PROVIDER: S-EPMC5920557 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature