ArticleHepatology communications2024
Validating new coding algorithms to improve identification of alcohol-associated and nonalcohol-associated cirrhosis hospitalizations in administrative databases.
Article in Hepatology communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Estimating the Healthcare Cost of Infection-Related Hospitalisations in Multiple Myeloma.PharmacoEconomics · 2026Article
- Impact of Evolving Evidence on Pharmacological Therapy for Alcohol-Associated Hepatitis in Alberta: A Population-Based Study of Practice Trends and MELD-Stratified Effectiveness of Corticosteroids.Alimentary pharmacology & therapeutics · 2026Article
- "The alcohol-harm paradox": Understanding socioeconomic inequalities in liver disease.JHEP reports : innovation in hepatology · 2025Review
- Letter to the Editor: Examining pregnancy outcomes in alcohol-associated hepatitis: A call for further research.Hepatology communications · 2025Article
- Reply-Examining pregnancy outcomes in alcohol-associated hepatitis: A call for further research.Hepatology communications · 2025Article
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7 authors.
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Abstract
backgroundAlcohol (AC) and nonalcohol-associated cirrhosis (NAC) epidemiology studies are limited by available case definitions. We compared the diagnostic accuracy of previous and newly developed case definitions to identify AC and NAC hospitalizations.
methodsWe randomly selected 700 hospitalizations from the 2008 to 2022 Canadian Discharge Abstract Database with alcohol-associated and cirrhosis-related International Classification of Diseases 10th revision codes. We compared standard approaches for AC (ie, AC code alone and alcohol use disorder and nonspecific cirrhosis codes together) and NAC (ie, NAC codes alone) case identification to newly developed approaches that combine standard approaches with new code combinations. Using electronic medical record review as the reference standard, we calculated case definition positive and negative predictive values, sensitivity, specificity, and AUROC.
resultsElectronic medical records were available for 671 admissions; 252 had confirmed AC and 195 NAC. Compared to previous AC definitions, the newly developed algorithm selecting for the AC code, alcohol-associated hepatic failure code, or alcohol use disorder code with a decompensated cirrhosis-related condition or NAC code provided the best overall positive predictive value (91%, 95% CI: 87-95), negative predictive value (89%, CI: 86-92), sensitivity (81%, CI: 76-86), specificity (96%, CI: 93-97), and AUROC (0.88, CI: 0.85-0.91). Comparing all evaluated NAC definitions, high sensitivity (92%, CI: 87-95), specificity (82%, CI: 79-86), negative predictive value (96%, CI: 94-98), AUROC (0.87, CI: 0.84-0.90), but relatively low positive predictive value (68%, CI: 62-74) were obtained by excluding alcohol use disorder codes and using either a NAC code in any diagnostic position or a primary diagnostic code for HCC, unspecified/chronic hepatic failure, esophageal varices without bleeding, or hepatorenal syndrome.
conclusionsNew case definitions show enhanced accuracy for identifying hospitalizations for AC and NAC compared to previously used approaches.
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