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ECG-derived spatial QRS-T angle is strongly associated with hypertrophic cardiomyopathy
Daniel Cortez1, Todd T Schlegel2, Michael J Ackerman3
1Electrophysiology, Milton S. Hershey Medical Center, Hershey, USA; Clinical Sciences, Lund University, Lund, Sweden.
Insights
Vectorcardiography (VCG) spatial QRS-T angles effectively differentiate hypertrophic cardiomyopathy (HCM) patients from controls, outperforming Seattle criteria. VCG shows potential for identifying genotype-positive HCM patients.
Area of Science:
- Cardiology
- Medical Imaging
- Genetics
Background:
- Hypertrophic cardiomyopathy (HCM) is a genetic heart condition and a leading cause of sudden cardiac death (SCD) in young individuals.
- Genotype-positive HCM is linked to increased risks of systolic dysfunction, heart failure, and SCD.
Purpose of the Study:
- To evaluate the diagnostic capability of electrocardiography (ECG)-derived vectorcardiography (VCG) parameters in a large cohort of genotyped HCM patients.
- To compare the diagnostic utility of VCG parameters against traditional Seattle ECG criteria.
Main Methods:
- Analysis of 12-lead ECGs from 967 HCM patients and healthy controls, with genetic testing performed on 1053 patients.
- Computerized derivation of VCG parameters including spatial QRS-T angles, spatial ventricular gradient (SVG), and Tpeak-Tend (TpTe) intervals.
- Comparison of VCG parameter performance with Seattle ECG criteria for HCM diagnosis.
Main Results:
- Spatial peaks and mean QRS-T angles were significantly higher in HCM patients than controls (P<0.001).
- VCG spatial QRS-T angles identified 94% (peaks) and 84% (mean) of HCM patients, surpassing Seattle criteria (70.7%, P<0.001).
- Genotype-positive HCM patients exhibited distinct VCG profiles (higher spatial mean QRS-T angles, spatial TpTe; lower SVG) compared to genotype-negative patients.
Conclusions:
- ECG-derived spatial QRS-T angles offer a superior diagnostic tool for differentiating HCM patients from controls compared to Seattle criteria.
- The clinical utility of VCG in distinguishing between genotype-negative and genotype-positive HCM patients requires further investigation.
Introduction:
ECG-derived vectorcardiography (VCG) has diagnostic and prognostic value in various diseases. Hypertrophic cardiomyopathy (HCM), a genetic disease with unexplained left ventricular hypertrophy, is one of the most common causes of sudden cardiac death (SCD) in young persons. Genotype positive status is associated with increased risk of systolic dysfunction, heart failure, and (SCD). Herein, we aimed to determine the diagnostic utility of derived VCG parameters in a large cohort of genotyped HCM patients.
Methods:
Between 1997 and 2007, genetic testing was performed on 1053 unrelated patients with HCM. Of these, 967 had 12-lead ECGs suitable for computerized derivation of VCG parameters, including the spatial mean and peaks QRS-T angles, spatial ventricular gradient (SVG), spatial QRS, QT, and Tpeak-Tend (TpTe) intervals. ECGs were also evaluated using Seattle ECG criteria. Differences between HCM patients and healthy controls as well as between genotype positive versus genotype negative HCM patients were assessed.
Results:
Spatial peaks (129.3±26.4 vs.30.5±24.2 degrees) and spatial mean QRS-T angles (121.8±38.6 vs. 47.3±27.6 degrees) were significantly higher in patients with HCM than in controls (P<0.001). The spatial peaks and mean QRS-T angles identified 94% and 84% of HCM patients, respectively, while Seattle criteria identified 70.7% of patients (P<0.001). Genotype positive patients had higher spatial mean QRS-T angles, spatial TpTe (P<0.001 respectively), spatial peaks QRS-T angles (P=0.017) and lower SVG (P<0.001) than genotype negative patients.
Conclusions:
ECG-derived spatial QRS-T angles can differentiate patients with HCM from controls and could provide a better tool than traditional Seattle criteria. Clinical usefulness of VCG to differentiate genotype-negative from genotype-positive patients has yet to be established.
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