Clinical Epidemiology (Jun 2023)

The Positive Predictive Value of Pediatric Stroke Diagnoses in Administrative Data: A Retrospective Validation Study

  • Bindslev JB,
  • Johnsen SP,
  • Hansen K,
  • Valentin JB,
  • Hoei-Hansen CE,
  • Truelsen T

Journal volume & issue
Vol. Volume 15
pp. 755 – 764

Abstract

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Julie Brix Bindslev,1,2 Soeren Paaske Johnsen,3 Klaus Hansen,1,4 Jan Brink Valentin,3 Christina Engel Hoei-Hansen,2,4 Thomas Truelsen1,4 1Department of Neurology, University Hospital of Copenhagen, Rigshospitalet, Copenhagen, Denmark; 2Department of Pediatrics, University Hospital of Copenhagen, Rigshospitalet, Copenhagen, Denmark; 3Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; 4Department of Clinical Medicine, University of Copenhagen, Copenhagen, DenmarkCorrespondence: Julie Brix Bindslev, Department of Neurology, University Hospital of Copenhagen, Rigshospitalet, Blegdamsvej 9, Copenhagen, 2100, Denmark, Tel +45 29 92 89 10, Email [email protected]: This retrospective cohort study aimed to examine the positive predictive value (PPV) of pediatric stroke diagnoses in the Danish National Registry of Patients (DNRP) and the impact of different stroke definitions on the PPV.Methods: We included children registered with a stroke or stroke-related diagnosis in the DNRP between January 2017 through December 2020. Two assessors reviewed medical records and validated cases according to the American Heart and American Stroke Association (AHA/ASA) stroke definition. The level of interrater agreement was examined using kappa statistics. Validation by the AHA/ASA definition was compared with validation according to the definition in the International Classification of Disease 11th version (ICD-11) and the World Health Organization’s definition.Results: Stroke was confirmed in 120 of 309 included children, yielding an overall PPV of 0.39 (95% CI: 0.33– 0.45). PPV varied across stroke subtypes from 0.83 (95% CI: 0.71– 0.92) for ischemic stroke (AIS), 0.57 (95% CI: 0.37– 0.76) for unspecified stroke, 0.42 (95% CI: 0.33– 0.52) for intracerebral hemorrhage (ICH) to 0.31 (95% CI: 0.55– 0.98) and 0.07 (95% CI: 0.01– 0.22) for cerebral venous thrombosis and subarachnoid hemorrhage (SAH), respectively. Most non-confirmed ICH and SAH diagnoses were in children with traumatic intracranial hemorrhages (36 and 66% respectively). Among 70 confirmed AIS cases, 25 (36%) were identified in non-AIS code groups. PPV varied significantly across stroke definitions with the highest for the AHA/ASA definition (PPV = 0.39, 95% CI: 0.34– 0.45) and the lowest for the WHO definition (PPV = 0.29, 95% CI: 0.24– 0.34). Correspondingly, the incidence of pediatric AIS per 100.000 person-years changed from 1.5 for the AHA/ASA definition to 1.2 for ICD-11 and 1.0 for the WHO-definition. The overall interrater agreement was considered excellent (κ=0.85).Conclusion: After validation, stroke was confirmed in only half of the children registered in the DNRP with a stroke-specific diagnosis. Non-validated administrative data should be used with caution in pediatric stroke research. Pediatric stroke incidence rates may vary markedly depending on which stroke definition is used.Keywords: positive predictive value, stroke diagnosis, stroke definition, children, interrater reliability, Danish National Registry of Patients

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