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International Classification of Diseases Codes are Useful in Identifying Cirrhosis in Administrative Databases.

Authors
  • Dahiya, Monica1
  • Eboreime, Ejemai1
  • Hyde, Ashley1
  • Rahman, Sholeh2, 3
  • Sebastianski, Meghan3
  • Carbonneau, Michelle1
  • Tapper, Elliot B4
  • Tandon, Puneeta5
  • 1 Division of Gastroenterology (Liver Unit), University of Alberta, 130-University Campus, Edmonton, AB, T6G2X8, Canada. , (Canada)
  • 2 Department of Pediatrics, Alberta Research Centre for Health Evidence, University of Alberta, Edmonton, Canada. , (Canada)
  • 3 Alberta Strategy for Patient-Oriented Research SUPPORT Unit (AbSPORU) Knowledge Translation Platform, University of Alberta, Edmonton, Canada. , (Canada)
  • 4 Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, USA.
  • 5 Division of Gastroenterology (Liver Unit), University of Alberta, 130-University Campus, Edmonton, AB, T6G2X8, Canada. [email protected] , (Canada)
Type
Published Article
Journal
Digestive Diseases and Sciences
Publisher
Springer-Verlag
Publication Date
Jun 01, 2022
Volume
67
Issue
6
Pages
2107–2122
Identifiers
DOI: 10.1007/s10620-021-07076-1
PMID: 34091800
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Health administrative databases are essential to define patient populations, make socioeconomic predictions, and facilitate medical research and healthcare planning. The accuracy of this data is dependent on valid codes/coding algorithms. The aim of this study was to systematically identify and summarize the validity of International Classification of Diseases (ICD) codes for identifying patients with cirrhosis in administrative data. Electronic databases, MEDLINE (via Ovid), EMBASE (via Ovid), the Web of Science, and CINAHL (via EBSCOhost), were searched for validation studies which compared ICD codes related to cirrhosis to a clinical reference standard, and reported statistical measures of performance. Fourteen studies were included in the review. There was a large variation in the algorithms used to validate ICD codes to diagnose cirrhosis. Despite the variation, the positive predictive value (PPV) was greater than 84% and the specificity was greater than 75% in the majority of the studies. The negative predictive value (NPV) was lower, but still was associated with values greater than 70% in the majority of studies. Sensitivity data varied significantly with values ranging from 0.27 to 99%. Evaluated ICD codes for cirrhosis, including codes for chronic liver disease, cirrhosis-specific codes, and cirrhosis-related complications, have demonstrated variable sensitivity and reasonable specificity for the identification of cirrhosis. Additional research is needed to maximize the identification of persons with cirrhosis to avoid underestimating the burden of disease. © 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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