Literature DB >> 29843835

Positive predictive value of infective endocarditis in the Danish National Patient Registry: a validation study.

Lauge Østergaard1, Kasper Adelborg2, Jens Sundbøll2, Lars Pedersen2, Emil Loldrup Fosbøl1, Morten Schmidt2.   

Abstract

The positive predictive value of an infective endocarditis diagnosis is approximately 80% in the Danish National Patient Registry. However, since infective endocarditis is a heterogeneous disease implying long-term intravenous treatment, we hypothesiszed that the positive predictive value varies by length of hospital stay. A total of 100 patients with first-time infective endocarditis in the Danish National Patient Registry were identified from January 2010 - December 2012 at the University hospital of Aarhus and regional hospitals of Herning and Randers. Medical records were reviewed. We calculated the positive predictive value according to admission length, and separately for patients with a cardiac implantable electronic device and a prosthetic heart valve using the Wilson score method. Among the 92 medical records available for review, the majority of the patients had admission length ⩾2 weeks. The positive predictive value increased with length of admission. In patients with admission length <2 weeks the positive predictive value was 65% while it was 90% for admission length ⩾2 weeks. The positive predictive value was 81% for patients with a cardiac implantable electronic device and 87% for patients with a prosthetic valve. The positive predictive value of the infective endocarditis diagnosis in the Danish National Patient Registry is high for patients with admission length ⩾2 weeks. Using this algorithm, the Danish National Patient Registry provides a valid source for identifying infective endocarditis for research.

Entities:  

Keywords:  Danish National Patient Registry; infective endocarditis; positive predictive value; validation

Mesh:

Year:  2018        PMID: 29843835      PMCID: PMC6452985          DOI: 10.1017/S0950268818001401

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  11 in total

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Review 10.  The Danish National Patient Registry: a review of content, data quality, and research potential.

Authors:  Morten Schmidt; Sigrun Alba Johannesdottir Schmidt; Jakob Lynge Sandegaard; Vera Ehrenstein; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2015-11-17       Impact factor: 4.790

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