Positive predictive value of cardiovascular diagnoses in the Danish National Patient Registry: a validation study

Jens Sundbøll1,2, Kasper Adelborg1,2, Troels Munch1

  • 1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark.

BMJ Open
|November 20, 2016
PubMed

Insights

The Danish National Patient Registry

Area of Science:

  • Cardiology
  • Epidemiology
  • Health Informatics

Background:

  • Cardiovascular diagnoses in the Danish National Patient Registry (DNPR) are widely used in research.
  • Validation of these diagnoses is crucial for ensuring research accuracy.

Purpose of the Study:

  • To examine the positive predictive value (PPV) of cardiovascular diagnoses recorded in the DNPR.
  • To assess the reliability of DNPR data for epidemiological studies.

Main Methods:

  • A population-based validation study was conducted.
  • Up to 100 patients per diagnosis were randomly sampled from hospitals in the Central Denmark Region (2010-2012).
  • Medical record review served as the reference standard to determine PPVs for ICD-10 coded diagnoses.

Main Results:

  • A total of 2153 medical records were reviewed, with an overall mean PPV of 88%.
  • High PPVs (≥90%) were observed for numerous conditions including myocardial infarction, hypertension, and atrial fibrillation.
  • PPVs varied by condition, with myocarditis showing the lowest PPV (64%).

Conclusions:

  • Cardiovascular diagnoses in the DNPR demonstrate high overall validity.
  • The DNPR data is considered sufficient for cardiovascular epidemiological research from 2010 onwards.
Abstract

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