1. A Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System.
- Author
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Haque LY, Tate JP, Chew M, Caniglia EC, Taddei TH, and Re VL 3rd
- Subjects
- Humans, United States epidemiology, Male, Female, Middle Aged, Aged, Predictive Value of Tests, Veterans Health, Electronic Health Records statistics & numerical data, Algorithms, United States Department of Veterans Affairs, International Classification of Diseases, Pharmacoepidemiology methods
- Abstract
Purpose: Accurate identification of hepatic decompensation is essential for pharmacoepidemiologic research among patients with chronic liver disease., Methods: An algorithm using ≥ 1 inpatient or ≥ 2 outpatient International Classification of Diseases, 10th revision (ICD-10) codes for hepatic decompensation was developed in Veterans Health Administration data from October 2015 through July 2019. Medical records were reviewed by hepatologists to confirm cases. The positive predictive value (PPV) of the coding algorithm for confirmed hepatic decompensation was calculated., Results: Hepatic decompensation was confirmed in 149/185 records meeting the algorithm (PPV 81%; 95% CI, 70%, 90%). The most common hepatic decompensation diagnosis was ascites. Only 56% of confirmed cases had an accompanying diagnosis code for cirrhosis., Conclusions: Our ICD-10-based coding algorithm identified hepatic decompensation with high PPV in Veterans Health Administration data., (© 2024 John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)
- Published
- 2024
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