Document Detail


Nonalcoholic fatty liver disease (NAFLD) in the Veterans Administration population: development and validation of an algorithm for NAFLD using automated data.
MedLine Citation:
PMID:  25155259     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: In practice, nonalcoholic fatty liver disease (NAFLD) is diagnosed based on elevated liver enzymes and confirmatory liver biopsy or abdominal imaging. Neither method is feasible in identifying individuals with NAFLD in a large-scale healthcare system.
AIM: To develop and validate an algorithm to identify patients with NAFLD using automated data.
METHODS: Using the Veterans Administration Corporate Data Warehouse, we identified patients who had persistent ALT elevation (≥2 values ≥40 IU/mL ≥6 months apart) and did not have evidence of hepatitis B, hepatitis C or excessive alcohol use. We conducted a structured chart review of 450 patients classified as NAFLD and 150 patients who were classified as non-NAFLD by the database algorithm, and subsequently refined the database algorithm.
RESULTS: The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) for the initial database definition of NAFLD were 78.4% (95% CI: 70.0-86.8%), 74.5% (95% CI: 68.1-80.9%), 64.1% (95% CI: 56.4-71.7%) and 85.6% (95% CI: 79.4-91.8%), respectively. Reclassifying patients as having NAFLD if they had two elevated ALTs that were at least 6 months apart but within 2 years of each other, increased the specificity and PPV of the algorithm to 92.4% (95% CI: 88.8-96.0%) and 80.8% (95% CI: 72.5-89.0%), respectively. However, the sensitivity and NPV decreased to 55.0% (95% CI: 46.1-63.9%) and 78.0% (95% CI: 72.1-83.8%), respectively.
CONCLUSIONS: Predictive algorithms using automated data can be used to identify patients with NAFLD, determine prevalence of NAFLD at the system-wide level, and may help select a target population for future clinical studies in veterans with NAFLD.
Authors:
N Husain; P Blais; J Kramer; M Kowalkowski; P Richardson; H B El-Serag; F Kanwal
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-8-26
Journal Detail:
Title:  Alimentary pharmacology & therapeutics     Volume:  -     ISSN:  1365-2036     ISO Abbreviation:  Aliment. Pharmacol. Ther.     Publication Date:  2014 Aug 
Date Detail:
Created Date:  2014-8-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8707234     Medline TA:  Aliment Pharmacol Ther     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2014 John Wiley & Sons Ltd.
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