Open Access<p>Validity of an Automated Algorithm to Identify Cirrhosis Using Electronic Health Records in Patients with Primary Biliary Cholangitis</p>
Author(s) -
Mei Lü,
Christopher L. Bowlus,
Keith D. Lindor,
Carla RodriguezWatson,
Robert J. Romanelli,
Irina V. Haller,
Heather Anderson,
Jeffrey J. VanWormer,
Joseph A. Boscarino,
Mark Schmidt,
Yihe G. Daida,
Amandeep Sahota,
Jennifer Vincent,
Jia Li,
Sheri Trudeau,
Loralee B Rupp,
Stuart C. Gordon,
Fold Investigators
Publication year - 2020
Publication title -
clinical epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.868
H-Index - 58
ISSN - 1179-1349
DOI - 10.2147/clep.s262558
Subject(s) - medicine , cirrhosis , algorithm , gastroenterology , primary biliary cirrhosis , liver biopsy , bilirubin , hepatocellular carcinoma , biopsy , computer science
Biopsy remains the gold standard for determining fibrosis stage in patients with primary biliary cholangitis (PBC), but it is unavailable for most patients. We used data from the 11 US health systems in the FibrOtic Liver Disease Consortium to explore a combination of biochemical markers and electronic health record (EHR)-based diagnosis/procedure codes (DPCs) to identify the presence of cirrhosis in PBC patients.