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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Feasibility of Resting Multielectrode Electrocardiogram for Detecting Coronary Artery Disease
Patrick Yan-Tyng Liu1,2,3, Lian-Yu Lin1, Mao-Shin Lin1
1Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital.
Insights
Repolarization heterogeneity, measured by multielectrode electrocardiogram (MECG), can identify patients with coronary artery disease (CAD). This noninvasive method shows promise for diagnosing CAD with accuracy comparable to exercise tests.
Area of Science:
- Cardiology
- Medical Diagnostics
- Biomedical Engineering
Background:
- Myocardial ischemia can lead to repolarization heterogeneity, altering the QT interval.
- This heterogeneity may serve as an indicator for coronary artery disease (CAD).
Purpose of the Study:
- To test the hypothesis that repolarization heterogeneity can identify patients with CAD.
- To evaluate a novel multielectrode electrocardiogram (MECG) system for measuring repolarization heterogeneity.
Main Methods:
- Utilized a 28-electrode MECG system to measure repolarization heterogeneity in male patients undergoing coronary angiography.
- Derived QTc dispersion (QTD) and smoothness index of QTc (SI-QTc) from MECG signals.
- Analyzed data from 85 patients in the training set and 42 in the validation set.
Main Results:
- CAD patients exhibited significantly higher SI-QTc and QTD compared to non-CAD patients in the training set (p = 0.0004 for both).
- Area under the curve for SI-QTc and QTD was approximately 0.743 for CAD detection.
- In the validation set, SI-QTc ≥ 9.95 ms and QTD ≥ 69 ms achieved 71.9% sensitivity and 80.0% specificity for CAD diagnosis.
Conclusions:
- Resting MECG is a promising noninvasive tool for CAD diagnosis.
- The diagnostic performance of MECG for CAD is comparable to exercise electrocardiography tests.
Background:
Myocardial ischemia can cause repolarization heterogeneity, manifesting as variations in QT interval; we hypothesized that repolarization heterogeneity could help identify patients with coronary artery disease (CAD). We tested this hypothesis by measuring repolarization heterogeneity with a newly developed multielectrode electrocardiogram (MECG) system, which uses 28 electrodes to increase the spatial resolution of body surface electrical activity.
Methods And Results:
Male patients admitted for coronary angiography were enrolled. Eighty-five patients were included in the training dataset, and 42 in the validation dataset. QTc heterogeneity indices including QTc dispersion (QTD) and smoothness index of QTc (SI-QTc) were derived from MECG signals. Sixty and 32 patients in the training and validation datasets, respectively, were found to have significant coronary stenosis. The SI-QTc (12.79 ± 4.29 vs. 9.22 ± 2.40 ms, p = 0.0004) and QTD (92.12 ± 34.31 vs. 67.2 ± 19.11 ms, p = 0.0004) of the patients in the training dataset were significantly higher in the CAD patients. The areas under the curve of SI-QTc and QTD in the training dataset were 0.7437 and 0.7433, respectively, for detecting CAD. With cutoff values of SI-QTc ≥ 9.95 ms and QTc dispersion ≥ 69 ms, the sensitivity and specificity for diagnosing CAD were 71.9% and 80.0%, respectively, in the validation dataset.
Conclusions:
Resting MECG is a promising noninvasive tool for CAD diagnosis, with sensitivity and specificity comparable to those of the exercise electrocardiography test.
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