T-wave morphology differences between patients with and without arrhythmic complication of ischemic heart disease
K Hnatkova1, S J Ryan, J Bathen
1Department of Cardiological Sciences, St. George's Hospital Medical School, London, England. k.hnatkova@sghms.ac.uk
Insights
T-wave morphology analysis using signal-averaged electrocardiograms reveals distinct patterns in patients with myocardial infarction (MI) and ventricular tachycardia/fibrillation (VT/VF). These T-wave descriptors effectively identify arrhythmic complications in ischemic heart disease patients.
Area of Science:
- Cardiology
- Biomedical Engineering
- Electrocardiography
Background:
- T-wave abnormalities on electrocardiograms are associated with cardiac arrhythmias.
- Quantifying T-wave morphology may offer insights into risk stratification for ischemic heart disease patients.
Purpose of the Study:
- To investigate and compare T-wave morphology using novel quantitative descriptors in healthy individuals, patients post-myocardial infarction (MI), and patients with a history of ventricular tachycardia/fibrillation (VT/VF).
- To assess the utility of these T-wave descriptors in identifying patients at risk for arrhythmic complications.
Main Methods:
- Signal-averaged orthogonal electrocardiograms were recorded from 164 healthy controls, 196 MI patients, and 123 VT/VF patients.
- Two T-wave morphology parameters were calculated: total cosine R to T (global angle) and percentage of loop area (irregularity).
- Statistical analysis included Mann-Whitney tests and Kruskal-Wallis ANOVA to compare groups.
Main Results:
- Significant differences in both total cosine R to T and percentage of loop area were observed between all three groups (p < 1.1 x 10(-8)).
- The parameters demonstrated strong discriminative power, differentiating healthy controls from MI and VT/VF patients, and also distinguishing between MI and VT/VF groups.
- The two T-wave descriptors were largely uncorrelated, suggesting they capture different aspects of repolarization.
Conclusions:
- Numerical descriptors of T-wave morphology are powerful indicators of arrhythmic complications in patients with ischemic heart disease.
- These quantitative measures can effectively differentiate between patients with stable ischemic heart disease and healthy controls.
- T-wave morphology analysis holds potential for risk stratification in cardiovascular disease management.
Abstract:
The study investigated the differences in T-wave morphology between normal controls, patients with an uncomplicated follow-up after a myocardial infarction (MI), and patients with ischaemic heart disease and a history of ventricular tachycardia/fibrillation (VT/VF). The study population consisted of 164 healthy patients (age 53.4 +/- 18.7 years old, 80 women), 123 VT/VF patients (age 63.8 +/- 10.1 years old, 15 women), and 196 MI patients (age 59.2 +/- 10.0 years old, 23 women). In all patients, supine resting signal-averaged orthogonal electrocardiograms were obtained. After singular value decomposition of electrocardiogram signal, 2 T-wave morphology descriptors were calculated: total cosine R to T describing the global angle between repolarisation and depolarisation loops, and percentage of loop area expressing the irregularity of the T-wave loop (a more irregular wave results in a lower percentage of loop area value). Both parameters were practically uncorrelated (Controls: r = - .106, MI r = .161, and VT/VF r = .173) and different between individual groups of patients: total cosine R to T (Control vs. MI: P = 4.3 x 10(-8), Control vs. VT/VF: P = 2.7 x 10(-16), MI vs. VT/VF: P = 3.1 x 10(-6)), percentage of loop area (Control vs. MI: P = 0.07, Control vs. VT/VF: P = 1.1 x 10(-8), MI vs. VT/VF: P = 2.9 x 10(-5), all nonparametric Mann-Whitney test). The comparisons of cumulative histograms also revealed significant differences between all three groups for both parameters (Kruskal-Wallis ANOVA test). Thus, these numerical descriptors of T-wave morphology are powerful indicators of arrhythmic complications among patients with ischaemic heart disease. They also differentiate between patients with stable uncomplicated ischaemic heart disease and healthy controls.
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