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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.
Introduction:
Accurate identification of patients with cirrhosis is important for research using administrative databases. We aimed to examine the accuracy of several major ICD-10 codes for cirrhosis diagnosis in a large and diverse patient cohort; there is little existing research on this topic.
Methods:
Using data from 3,396 patients with chronic liver disease (hepatitis B or C or nonalcoholic fatty liver disease) from 1 university and several community medical centers, we calculated sensitivity, specificity, positive predictive value (PPV), negative predictive value, and area under the receiver operating characteristic curve (AUROC) for several major ICD-10 codes for cirrhosis, which was verified by individual chart review. We performed a secondary validation in a general cohort of 1,560 randomly selected patients.
Results:
While each of the individual study ICD-10 codes were specific (98.08-100%), none of the codes were sufficiently sensitive (0.27-55.70%). 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 having at least 1 code was higher (0.79) than any code alone (0.50-0.65).
Discussion/Conclusion:
Individual ICD-10 codes are suboptimal for identifying patients with cirrhosis in the general patient population. We recommend conditioning ICD-10 code searches with a chronic liver disease diagnosis code and/or combining diagnostic codes to maximize performance.
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