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Statistical Evaluation of QT/QTc Interval Prolongation

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Statistical Methods in Biomarker and Early Clinical Development
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Abstract

QT interval prolongation is a measure of delayed cardiac repolarization that could lead to the development of cardiac arrhythmias, namely torsade de pointes (TdP). TdP is a serious toxicity associated with some non-antiarrhymic drugs. The magnitude of QT prolongation has been used as an imperfect surrogate for TdP. In this chapter, we review statistical considerations for the evaluation of QT/QTc interval prolongation. Regulatory history and scientific background are provided in Sect. 1. Section 2 is devoted to the design and analysis of thorough QT study (i.e., TQT) as a way of evaluating QT prolongation risk, as recommended by ICH E14. In Sect. 3, an alternative to TQT study, concentration–QTc (i.e., CQT) analysis is discussed. The CQT approach has been adopted by ICH E14 R3 as an acceptable alternative to TQT for the evaluation of QT prolongation risk.

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References

  • Dang, Q., Zhang, J. (2013). Validation of QT interval correction methods when a drug changes heart rate. Therapeutic Innovation & Regulatory Science.

    Book  Google Scholar 

  • Darpo, B. & Garnett, C. (2013). Early QT assessment--how can our confidence in the data be improved? Br. J. Clin. Pharmacol. 76, 642–648.

    Article  Google Scholar 

  • Darpo B, Sarapa N, Garnett C, Benson C, Dota C, Ferber G, Jarugula V, Johannesen L, Keirns J, Krudys K, Ortemann-Renon C, Riley S, Rogers-Subramaniam D, Stockbridge N. (2014). The IQ-CSRC prospective clinical phase 1 study: “Can early QT assessment using exposure response analysis replace the thorough QT study?” Ann. Noninvasive Electrocardiol. 19, 70–81.

    Article  Google Scholar 

  • Darpo B, Benson C, Dota C, Ferber G, Garnett C, Green CL, Jarugula V, Johannesen L, Keirns J, Krudys K, Liu J, Ortemann-Renon C, Riley S, Sarapa N, Smith B, Stoltz RR, Zhou M, Stockbridge N. (2015). Results from the IQ-CSRC prospective study support replacement of the thorough QT study by QT assessment in the early clinical phase. Clin. Pharmacol Ther. 97, 326–335.

    Article  Google Scholar 

  • Ferber, G., Zhou, M. & Darpo, B. Detection of QTc effects in small studies – implications for replacing the thorough QT study. Ann. Noninvasive Electrocardiol. 20, 368–377 (2015).

    Article  Google Scholar 

  • Florian, J.A., Tornøe, C.W., Brundage, R., Parekh, A. & Garnett, C.E. (2011). Population pharmacokinetic and concentration--QTc models for moxifloxacin: pooled analysis of 20 thorough QT studies. J. Clin. Pharmacol. 51, 1152–1162.

    Article  Google Scholar 

  • Garnett, CE., Beasley, N., Bhattaram, VA., Jadhav, PR., Madabushi, R., Stockbridge, N., Tornoe, CW., Wang, Y., Zhu, H., Gobburu, JV. (2008). Concentration-QT relationships play a key role in the evaluation of proarrhythmic risk during regulatory review. J. Clin. Pharmacol. 48, 13–18.

    Article  Google Scholar 

  • Garnett, C., Bonate, P.L., Dang, Q., et al. (2018). Scientific white paper on concentration-QTc modeling, J. Pharmacokinet. Pharmacodyn. 45: 383.

    Article  Google Scholar 

  • ICH. (2005). ICH E14 Guidance. The Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Nonantiarrhythmic Drugs. International Conference on Harmonization, May 2005.

    Google Scholar 

  • ICH. (2012). ICH E14 Guidance Questions and Answers (R1). The Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Nonantiarrhythmic Drugs Questions and Answers (R1). International Conference on Harmonization, October 2012.

    Google Scholar 

  • ICH. (2014). ICH E14 Guidance Questions and Answers (R2). The Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Nonantiarrhythmic Drugs Questions and Answers (R1). International Conference on Harmonization, March 2014.

    Google Scholar 

  • ICH. (2015). ICH E14 Guidance Questions and Answers (R3). The Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Nonantiarrhythmic Drugs Questions and Answers (R1). International Conference on Harmonization, December 2015.

    Google Scholar 

  • Johannesen L, Garnett C, Malik M. Impact of Electrocardiographic Data Quality on Moxifloxacin Response in Thorough QT/QTc Studies. Drug Saf 2014; 37 (3):183–9.

    Article  Google Scholar 

  • Meng, Z., Kringle, R., Chen, X., Zhao, P.L. (2010). Sample size calculation for thorough QT/QTc study considering various factors related to multiple time points. Journal of Biopharmaceutical Statistics 20: 580–594.

    Article  MathSciNet  Google Scholar 

  • Nagy D, DeMeersman R, Gallagher D, et al. QTc interval (cardiac repolarization): lengthening after meals. Obes Res. 1997;5:531–537

    Article  Google Scholar 

  • Nelson, CH., Wang, L., Fang, L., Weng, W., Cheng, F., Hepner, M., Lin, J., Garnett, C., Ramanathan, S. (2015). A quantitative framework to evaluate proarrhythmic risk in a first-in-human study to support waiver of a thorough QT study. Journal of clinical pharmacology and therapeutics 98: 630–638.

    Article  Google Scholar 

  • Stylianou, A., Roger, J., Stephens, K. (2008). A statistical assessment of QT data following placebo and moxifloxacin dosing in thorough QT studies. Journal of Biopharmaceutical Statistics 18: 502–516.

    Article  MathSciNet  Google Scholar 

  • Taubel, J., Wong, AH., Naseem, A., Ferber, G., Camm, AJ. (2012). Shortening of the QT interval after food can be used to demonstrate assay sensitivity in thorough QT studies. Journal of clinical pharmacology 52: 1558–1565.

    Article  Google Scholar 

  • Thwaites BC, Bose M. Very low calorie diets and pre-fasting prolonged QT interval: a hidden potential danger. West Indian Med J. 1992; 41:169–171.

    Google Scholar 

  • Tsong, Y. (2013). On the design of thorough QT/QTc clinical trials. Journal of Biopharmaceutical Statistics 23: 43–56.

    Article  MathSciNet  Google Scholar 

  • Tsong, Y., Shen, M., Zhong J., Zhang, J. (2008). Statistical issues of QT prolongation assessment based on linear concentration modeling. Journal of Biopharmaceutical Statistics 18: 564–584.

    Article  MathSciNet  Google Scholar 

  • Swenne I, Larsson PT. Heart risk associated with weight loss in anorexia nervosa and eating disorders: risk factors for QTc interval prolongation and dispersion. Acta Paediatr. 1999; 88:304–309.

    Article  Google Scholar 

  • Yan, L.K., Zhang, J., Ng, M.J., Dang, Q. (2010). Statistical characteristics of Moxifloxacin-induced QTc effect, J. Biopharm. Stat., 20:3, 497–507

    Article  MathSciNet  Google Scholar 

  • Zhang, J. (2008). Testing for positive control activity in a thorough QTc study. Journal of Biopharmaceutical Statistics 18: 517–528.

    Article  MathSciNet  Google Scholar 

  • Zhang, J., Machado, S.G. (2008). Statistical issues including design and sample size calculation in thorough QT/QTc studies. Journal of Biopharmaceutical Statistics 18: 451–467.

    Article  MathSciNet  Google Scholar 

  • Zhang, L., Smith, BP. (2007). Sex differences in QT interval variability and implication on sample size of thorough QT study. Drug Information Journal 41: 619–627.

    Article  Google Scholar 

  • Zhang, L., Dmitrienko, A., Luta, G. (2008). Sample size calculations in thorough QT studies. J. Biopharm. Stat. 18(3):468–482.

    Article  MathSciNet  Google Scholar 

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Correspondence to Liang Fang .

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Fang, L., Weng, W., Wang, L., Wu, X. (2019). Statistical Evaluation of QT/QTc Interval Prolongation. In: Fang, L., Su, C. (eds) Statistical Methods in Biomarker and Early Clinical Development. Springer, Cham. https://doi.org/10.1007/978-3-030-31503-0_13

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