1. Validity of Simple Algorithms to Identify Recurrence of Intracerebral Hemorrhage in Two Danish Nationwide Registries
- Author
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Jensen MM, Hald SM, Kristensen LMB, Boe NJ, Harbo FSG, and Gaist D
- Subjects
stroke ,recurrent stroke ,intracerebral hemorrhage ,epidemiology ,validity ,register-based research ,Infectious and parasitic diseases ,RC109-216 - Abstract
Mie Micheelsen Jensen,1 Stine Munk Hald,1,2 Line Marie Buch Kristensen,1 Nils Jensen Boe,1,2 Frederik Severin Gråe Harbo,3 David Gaist1,2,4 1Department of Neurology, Odense University Hospital, Odense, Denmark; 2Neurology Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark; 3Department of Radiology, Odense University Hospital, Odense, Denmark; 4Open Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, DenmarkCorrespondence: David GaistDepartment of Neurology, Odense University Hospital, J.B. Winsløwsvej 4, Odense C, 5000, DenmarkTel +45 65412485Fax +45 65413389Email dgaist@health.sdu.dkPurpose: Danish registries could be an attractive resource for studies of recurrent intracerebral hemorrhage (re-ICH). We developed and validated algorithms to identify re-ICH in the Danish Stroke Registry (DSR) and the Danish National Patient Registry (DNPR).Patients and Methods: Using multiple sources, we followed-up an inception cohort with verified first-ever spontaneous ICH (n = 2528) for their first re-ICH in 2009– 2018 (study period). We used verified cases of re-ICH (n = 124) as the gold standard to assess the performance of register-based algorithms for identifying re-ICH. For each cohort member, we traced events of re-ICH (ICD-10-code I61) in the study period according to DSR and DNPR, respectively. For each registry, we tested algorithms with a blanking period (BP) – ie, a period immediately following the index ICH during which outcome events were ignored – of varying length (7 days– 360 days). The algorithm with the shortest BP that returned a positive predictive value (PPV) of ≥ 80% was considered optimal. We also calculated negative predictive value (NPV), sensitivity, and specificity of each algorithm and [95% confidence intervals] for all proportions.Results: The optimal algorithm for DSR (BP 30 days) had a PPV of 89.5% [82.2– 94.0], NPV 98.8% [98.2– 99.1], sensitivity 75.8% [67.6– 82.5], and specificity 99.5% [99.2– 99.7]. The optimal algorithm for DNPR (BP 120 days) had a PPV of 80.6% [71.7– 87.2], NPV 98.1% [97.5– 98.6], sensitivity 63.7% [55.0– 71.6], and specificity 99.2% [98.8– 99.5].Conclusion: Simple algorithms accurately identified re-ICH in DSR and DNPR. Compared with DNPR, DSR achieved higher PPV and sensitivity with a shorter BP. The proposed algorithms could facilitate valid use of DSR and DNPR for studies of re-ICH.Keywords: stroke, recurrent stroke, intracerebral hemorrhage, epidemiology, validity, register-based research
- Published
- 2021