Abstract

The accuracy of studies of drug-induced QTc changes depends, among others, on the accuracy of heart rate correction of QT interval. It has been recognized that when a drug leads to substantial heart rate changes, fixed universal corrections cannot be used and that alternative methods such as subject-specific corrections established for each study participant need to be considered. Nevertheless, the maximum heart rate change that permits use of fixed correction with reasonable accuracy has not been systematically investigated. We have therefore used full QT/heart-rate profiles of 751 healthy subjects (mean age 34.2 ± 9.6, range 18–61 years, 335 females) and compared their subject-specific corrections with 6 fixed corrections, namely Bazett, Fridericia, Framingham, Hodges, Rautaharju, and Sarma formulae. The comparison was based on statistical modeling experiments which simulated clinical studies of N = 10 or N = 50 female or male subjects. The experiments compared errors of ΔQTc intervals calculated as differences between QTc intervals at an initial heart rate (in the range of 40 to 120 beats per minute, bpm) and after a heart rate change (in the range from −20 to +20 bpm). The experiments also investigated errors due to spontaneous heart rate fluctuation and due to omission of correction for QT/RR hysteresis. In each experiment, the absolute value of the single-sided 90th percentile most remote from zero was used as the error estimate. Each experiment was repeated 10,000 times with random selection of modeled study group. From these repetitions, median and upper 80th percentile was derived and graphically displayed for all different combinations of initial heart rate and heart rate change. The results showed that Fridericia formula might be reasonable (with estimated errors of ΔQTc below 8 ms) in large studies if the heart rate does not change more than ± 10 bpm and that the errors by fixed corrections and the errors due to omission of QR/RR hysteresis are additive. Additionally, the results suggest that the variability introduced into QTc data by not correcting for the underlying heart rate accurately might have a greater impact in smaller studies. The errors by Framingham formula were practically the same as with the Fridericia formula. Other investigated fixed heart rate corrections led to larger ΔQTc errors.

Highlights

  • MATERIALS AND METHODSThe possibility of proarrhythmic potential of novel pharmaceutical compounds is well recognized (Guidance to industry, 2005; Vicente et al, 2016) and related considerations are an integral part of regulatory process of the approval of new drugs (Zhang et al, 2015)

  • Between Fridericia and Framingham corrections. It appears that in larger clinical studies, such as those modeled by our experiments with N = 50 subjects, these formulae could be reasonably to use if the drug-induced heart rate changes do not exceed ± 10 bpm

  • Our results suggest that for smaller studies it might be more important to minimize the variability in QTc introduced by not accounting for QT/RR hysteresis

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Summary

Introduction

MATERIALS AND METHODSThe possibility of proarrhythmic potential of novel pharmaceutical compounds is well recognized (Guidance to industry, 2005; Vicente et al, 2016) and related considerations are an integral part of regulatory process of the approval of new drugs (Zhang et al, 2015). It has been recognized that the QT/heart-rate relationship differs among subjects (Batchvarov et al, 2002; Malik et al, 2002) and that all fixed formulae are inaccurate to a greater or lesser extent (Malik, 2002). This is reflected in recommendations in a white paper suggesting that in the presence of obvious underlying heart rate changes, fixed formulae cannot be relied on and that the individuality of the QT/heart-rate relationship needs to be taken into account (Garnett et al, 2012)

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