AI Article Synopsis
- The study aimed to evaluate how consistently different cardiologists classify ECG abnormalities using the Minnesota Code criteria among individuals with type 2 diabetes.
- A random sample of 180 ECGs was analyzed by one primary rater and two trained cardiologists, focusing on various abnormalities such as myocardial infarction and atrial fibrillation.
- Results indicated a high level of agreement among raters for most ECG abnormality categories, suggesting that the Minnesota Code is a reliable tool for classifying these conditions.
Article Abstract
Objectives: To assess the interobserver agreement in categories of electrocardiogram (ECG) abnormalities using the Minnesota Code criteria.
Methods: We used a random sample of 180 ECGs from people with type 2 diabetes. ECG abnormalities were classified and coded using the Minnesota ECG Classification. Each ECG was independently rated on several abnormalities by an experienced rater (rater 1) and by two cardiologists (raters 2 and 3) trained to apply the Minnesota codes on four Minnesota codes; 1-codes as an indication for myocardial infarction, 4 en 5-codes as an indication for ischemic abnormalities, 3-codes as an indication for left ventricle hypertrophy, 7-1-codes as an indication for ventricular conduction abnormalities, and 8-3-codes as an indication for atrial fibrillation / atrial flutter. After all pairwise tables were summed, the overall agreement, the specific positive and negative agreement were calculated with a 95% confidence interval (CI) for each abnormality. Also, Kappa's with a 95% CI were calculated.
Results: The overall agreement (with 95% CI) were for myocardial infarction, ischemic abnormalities, left ventricle hypertrophy, conduction abnormalities and atrial fibrillation/atrial flutter respectively: 0.87 (0.84-0.91), 0.79 (0.74-0.84), 0.81 (0.76-0.85), 0.93 (0.90-0.95), 0.96 (0.93-0.97).
Conclusion: This study shows that the overall agreement of the Minnesota code is good to excellent.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360582 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0255466 | PLOS |
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