Evaluation of algorithms for registry-based detection of acute myocardial infarction following percutaneous coronary intervention
Received 21 March 2016
Accepted for publication 15 April 2016
Published 19 October 2016 Volume 2016:8 Pages 415—423
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Henrik Toft Sørensen
Gro Egholm,1,2,* Morten Madsen,2,* Troels Thim,1 Morten Schmidt,2,3 Evald Høj Christiansen,1 Hans Erik Bøtker,1 Michael Maeng1
1Department of Cardiology, 2Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, 3Department of Internal Medicine, Regional Hospital of Randers, Denmark
*These authors contributed equally to this work
Background: Registry-based monitoring of the safety and efficacy of interventions in patients with ischemic heart disease requires validated algorithms.
Objective: We aimed to evaluate algorithms to identify acute myocardial infarction (AMI) in the Danish National Patient Registry following percutaneous coronary intervention (PCI).
Methods: Patients enrolled in clinical drug-eluting stent studies at the Department of Cardiology, Aarhus University Hospital, Denmark, from January 2006 to August 2012 were included. These patients were evaluated for ischemic events, including AMI, during follow-up using an end point committee adjudication of AMI as reference standard.
Results: Of 5,719 included patients, 285 patients suffered AMI within a mean follow-up time of 3 years after stent implantation. An AMI discharge diagnosis (primary or secondary) from any acute or elective admission had a sensitivity of 95%, a specificity of 93%, and a positive predictive value of 42%. Restriction to acute admissions decreased the sensitivity to 94% but increased the specificity to 98% and the positive predictive value to 73%. Further restriction to include only AMI as primary diagnosis from acute admissions decreased the sensitivity further to 82%, but increased the specificity to 99% and the positive predictive value to 81%. Restriction to patients admitted to hospitals with a coronary angiography catheterization laboratory increased the positive predictive value to 87%.
Conclusion: Algorithms utilizing additional information from the Danish National Patient Registry yield different sensitivities, specificities, and predictive values in registry-based detection of AMI following PCI. We were able to identify AMI following PCI with moderate-to-high validity. However, the choice of algorithm will depend on the specific study purpose.
Keywords: Danish National Patient Registry, registry, percutaneous coronary intervention, validity, sensitivity, specificity
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