Key result
Automated analysis of QT intervals using the BSPM system produced highly repeatable measurements, with a coefficient of variation of 4.4% for QT end interval in repeated tests.
Why the study?
Does automated analysis of QT intervals from multiple ECG leads provide reproducible measurements in healthy volunteers and LQTS patients?
Observational (n=21)
Does automated analysis of QT intervals from multiple ECG leads provide reproducible measurements in healthy volunteers and LQTS patients?
Automated analysis of QT intervals using a body surface potential mapping system provides highly repeatable measurements at rest and during exercise over prolonged periods.
BACKGROUND: Accurate measurement of the QT interval is important for diagnosing long QT syndrome (LQTS), and in research on determinants of ventricular repolarization time. We tested automatic analysis of QT intervals from multiple ECG leads on chest. METHODS: Eleven healthy volunteers and 10 genotyped LQTS patients were tested at rest and during exercise with a bicycle ergometer twice 1-31 months apart. Electrocardiograms were recorded with the body surface potential mapping system, and 12 precordial channels were selected for analysis. Averaged QT peak and QT end intervals were determined with an automated algorithm, and the difference QT end minus QT peak (Tp-e) was calculated. Repeatability was assessed by coefficient of variation (CV) between measurements. RESULTS: Within one test at rest the QT end intervals were highly repeatable with CV 0.6%. In repeated tests CV was 4.4% for QT end interval and 3.5% when the QT interval was corrected for heart rate. In exercise test at specified heart rates, mean CV was 3.0% for QT end and 2.9% for QT peak interval. The CV of Tp-e interval was 10.2% at rest, and 9.3% in exercise test. Reproducibility was comparable between healthy subjects and LQTS patients. CONCLUSIONS: The BSPM system with automated analysis produced accurate and highly repeatable QT interval measurements. Reproducibility was adequate also over prolonged time periods both at rest and in exercise stress test. The method can be applied in studying duration of ventricular repolarization time in different physiologic and pharmacologic interventions.
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Hekkala et al. (2006) conducted an observational in Long QT syndrome (n=21). Automated analysis of QT intervals using body surface potential mapping (BSPM) was evaluated on Repeatability assessed by coefficient of variation (CV) between measurements. Automated analysis of QT intervals using the BSPM system produced highly repeatable measurements, with a coefficient of variation of 4.4% for QT end interval in repeated tests.
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