BACKGROUND: QT prolongation is an incomplete measure of drug-induced changes in repolarization. In this study, we investigated a novel, automatic ECG technique for describing ventricular repolarization morphology and we compared these results to corrected QT (QTc) prolongation for identifying ECGs of healthy individuals on moxifloxacin. METHODS: We analysed data from the US FDA ECG Warehouse involving 160 standard ECGs from 40 healthy subjects enrolled in a randomized, parallel, placebo-controlled, 'thorough QT' study. Computerized ECG analysis included a series of scalar and vectorial parameters describing duration of repolarization segments and T-wave/loop morphology including its symmetry, amplitude and shape. Binary logistic models for the identification of moxifloxacin-induced abnormalities of the repolarization were developed. RESULTS:Moxifloxacin induced significant changes in several ECG parameters including QT and QT apex and early repolarization duration (ERD)(30)(%), T-wave amplitude and slopes of the ascending and descending arm of the T-wave. The logistic model based only on T-wave morphology parameters outperformed the model based on QTc interval for identifying the presence of moxifloxacin. Combining information about repolarization interval duration with T-wave morphology significantly improved the detection of presence of moxifloxacin (p < 0.01). The increased sensitivity of our novel ECG method contributes to a >40% reduction in the sample size required to detect significant QTc prolongation induced by moxifloxacin. CONCLUSIONS:Repolarization morphology is significantly altered by moxifloxacin. The computerized ECG technique provides a novel method for quantifying morphological changes of repolarization segment. Our new parameters reflecting the morphology of the T-wave outperformed QTc measurements when identifying moxifloxacin-induced blockade of the outward rapid components of the delayed rectifier repolarizing potassium current (I(Kr)). These data indicate that the analysis of T-wave morphology could play a role in the assessment of drug toxicity.
RCT Entities:
BACKGROUND: QT prolongation is an incomplete measure of drug-induced changes in repolarization. In this study, we investigated a novel, automatic ECG technique for describing ventricular repolarization morphology and we compared these results to corrected QT (QTc) prolongation for identifying ECGs of healthy individuals on moxifloxacin. METHODS: We analysed data from the US FDA ECG Warehouse involving 160 standard ECGs from 40 healthy subjects enrolled in a randomized, parallel, placebo-controlled, 'thorough QT' study. Computerized ECG analysis included a series of scalar and vectorial parameters describing duration of repolarization segments and T-wave/loop morphology including its symmetry, amplitude and shape. Binary logistic models for the identification of moxifloxacin-induced abnormalities of the repolarization were developed. RESULTS:Moxifloxacin induced significant changes in several ECG parameters including QT and QT apex and early repolarization duration (ERD)(30)(%), T-wave amplitude and slopes of the ascending and descending arm of the T-wave. The logistic model based only on T-wave morphology parameters outperformed the model based on QTc interval for identifying the presence of moxifloxacin. Combining information about repolarization interval duration with T-wave morphology significantly improved the detection of presence of moxifloxacin (p < 0.01). The increased sensitivity of our novel ECG method contributes to a >40% reduction in the sample size required to detect significant QTc prolongation induced by moxifloxacin. CONCLUSIONS: Repolarization morphology is significantly altered by moxifloxacin. The computerized ECG technique provides a novel method for quantifying morphological changes of repolarization segment. Our new parameters reflecting the morphology of the T-wave outperformed QTc measurements when identifying moxifloxacin-induced blockade of the outward rapid components of the delayed rectifier repolarizing potassium current (I(Kr)). These data indicate that the analysis of T-wave morphology could play a role in the assessment of drug toxicity.
Authors: A J Moss; W Zareba; J Benhorin; E H Locati; W J Hall; J L Robinson; P J Schwartz; J A Towbin; G M Vincent; M H Lehmann Journal: Circulation Date: 1995-11-15 Impact factor: 29.690
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