ABSTRACT
The authors have previously demonstrated rate-independent QT variability in the dog and cynomolgus monkey, where the QT associated with any RR was a normally distributed value that was accurately evaluated as the distribution mean. The present study investigated the rate-independent characteristics of the human QT. Digital electrocardiographs (1000 Hz) were collected for 24 hours in 51 patients (thorough QT study) and analyzed by computer. Distribution-based analysis was applied to the placebo and moxifloxacin (400 mg) arms to characterize the nature of the QT interval and to assess the efficacy of distribution-based analysis for QTc determination. Novel statistics using continuous means and bootstrapped 95% confidence intervals were developed to facilitate QT analysis. Machine-read QT values were compared with core laboratory semiautomated values for verification. RR intervals demonstrated repetitive protocol-dependent variations (50-250 milliseconds); QT intervals were normally distributed, spanning 60 to 100 milliseconds for each RR interval. Distribution-based analysis detected a moxifloxacin response identical to semiautomated analysis, but with reduced variability and improved statistical power, where n = 12 satisfied the ICH E14 criteria for a positive control. Distribution-based analysis has the potential to provide a universal method for clinical QT heart rate correction, enabling accurate detection of QT changes when limited numbers of volunteers are exposed to drug.