Clinical Epidemiology (May 2017)

Positive predictive value of peptic ulcer diagnosis codes in the Danish National Patient Registry

  • Viborg S,
  • Søgaard KK,
  • Jepsen P

Journal volume & issue
Vol. Volume 9
pp. 261 – 266

Abstract

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Søren Viborg,1 Kirstine Kobberøe Søgaard,1 Peter Jepsen1,2 1Department of Clinical Epidemiology, 2Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark Background: Diagnoses of peptic ulcer are registered in the Danish National Patient Registry (DNPR) for administrative as well as research purposes, but it is unknown whether the coding validity depends on the location of the ulcer.Objective: To validate the International Classification of Diseases, 10th revision diagnosis codes of peptic ulcer in the DNPR by estimating positive predictive values (PPVs) for gastric and duodenal ulcer diagnoses.Methods: We identified all patients registered with a hospital discharge diagnosis of peptic ulcer from Aarhus University Hospital, Denmark, in 1995–2006. Among them, we randomly selected 200 who had an outpatient gastroscopy at the time of ulcer diagnosis. We reviewed the findings from these gastroscopies to confirm the presence of peptic ulcer and its location. We calculated PPVs and corresponding 95% confidence intervals (CIs) of gastric and duodenal ulcer diagnoses, using descriptions from the gastroscopic examinations as standard reference. Results: In total, 182 records (91%) were available for review. The overall PPV of peptic ulcer diagnoses in DNPR was 95.6% (95% CI 91.5–98.1), with PPVs of 90.3% (95% CI 82.4–95.5) for gastric ulcer diagnoses, and 94.4% (95% CI 87.4–98.2) for duodenal ulcer diagnoses. PPVs were constant over time.Conclusion: The PPV of uncomplicated peptic ulcer diagnoses in the DNPR is high, and the location of the ulcers is registered correctly in most cases, indicating that the diagnoses are useful for research purposes. Keywords: peptic ulcer, validation, positive predictive value, diagnosis, Danish National Patient Registry

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