Evaluation of algorithms for registry-based detection of acute myocardial infarction following percutaneous coronary
Gro Egholm1, Morten Madsen2, Troels Thim3
1Department of Cardiology; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus.
Insights
Validated algorithms are crucial for monitoring acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) in registries. Different algorithms offer varying accuracy, with specific diagnostic criteria improving reliability for identifying AMI post-PCI.
Area of Science:
- Cardiology
- Health Informatics
- Clinical Research
Background:
- Registry-based monitoring of interventions in ischemic heart disease patients necessitates validated algorithms for safety and efficacy assessment.
- Accurate identification of acute myocardial infarction (AMI) is critical for evaluating outcomes after percutaneous coronary intervention (PCI).
Purpose of the Study:
- To evaluate the performance of different algorithms for identifying AMI in the Danish National Patient Registry following PCI.
- Assessing the validity of registry data for detecting AMI in patients who have undergone PCI.
Main Methods:
- Inclusion of patients from drug-eluting stent studies (2006-2012) at Aarhus University Hospital, Denmark.
- Utilizing an endpoint committee adjudication of AMI as the reference standard for algorithm validation.
- Analysis of diagnostic codes for AMI, including discharge diagnoses from acute and elective admissions, and primary/secondary diagnosis status.
Main Results:
- Out of 5,719 patients, 285 experienced AMI within 3 years post-PCI.
- An AMI discharge diagnosis showed 95% sensitivity and 93% specificity, with a 42% positive predictive value (PPV).
- Restricting diagnoses to acute admissions with primary AMI diagnosis and angiography laboratory data improved PPV to 87% and specificity to 99%.
Conclusions:
- Algorithms using specific data from the Danish National Patient Registry demonstrate moderate-to-high validity for detecting AMI post-PCI.
- The choice of algorithm impacts sensitivity, specificity, and predictive values, requiring consideration of the specific research objective.
- Validated algorithms are essential for reliable registry-based safety and efficacy monitoring in ischemic heart disease patients undergoing PCI.
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.
Related Concept Videos
01:30Acute Coronary Syndrome III: Diagnostic Studies
01:30Acute Coronary Syndrome I: Introduction
01:19Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations
01:25Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
01:28Acute Coronary Syndrome IV: Interprofessional Care