Validity of International Classification of Diseases, Tenth Revision, Codes for Cirrhosis

Nathan S Ramrakhiani1, Michael H Le1, Yee Hui Yeo1

  • 1Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California, USA.

Insights

Individual International Classification of Diseases, Tenth Revision (ICD-10) codes are not sensitive enough for identifying cirrhosis patients in general populations. Combining codes or using them with chronic liver disease diagnoses improves accuracy for research.

Area of Science:

  • Medical Informatics
  • Hepatology
  • Epidemiology

Background:

  • Accurate patient identification is crucial for research utilizing administrative databases.
  • Existing research on the accuracy of ICD-10 codes for cirrhosis is limited.
  • Cirrhosis diagnosis accuracy impacts the validity of health research.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of major ICD-10 codes for identifying cirrhosis.
  • To assess the performance of individual and combined ICD-10 codes in diverse patient cohorts.
  • To provide recommendations for improving cirrhosis patient identification in administrative data.

Main Methods:

  • Calculated sensitivity, specificity, PPV, NPV, and AUROC for major ICD-10 cirrhosis codes.
  • Validated code accuracy in a chronic liver disease cohort (n=3,396) and a general patient cohort (n=1,560).
  • Cirrhosis diagnosis was confirmed by individual chart review.

Main Results:

  • Individual ICD-10 codes demonstrated high specificity (98.08-100%) but low sensitivity (0.27-55.70%).
  • Positive predictive values (PPVs) were high in the chronic liver disease cohort (88.41-100%) but lower in the general population (55.53-66.76%).
  • The AUROC for at least one code (0.79) surpassed that of any single code (0.50-0.65).

Conclusions:

  • Individual ICD-10 codes are insufficient for accurately identifying cirrhosis patients in the general population.
  • Combining diagnostic codes or using them with a chronic liver disease diagnosis enhances identification performance.
  • Recommendations are provided to improve the accuracy of cirrhosis patient selection in health research.
Abstract

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