A Nonparametric Approach to QT Interval Correction for Heart Rate

作者：Wang Duolao^*; Cheung Yin Bun; Arezina Radivoj; Taubel Jorg; Camm Alan John

来源：Journal of Biopharmaceutical Statistics, 2010, 20(3): 508-522.

DOI：10.1080/10543400903581952

• Clinical trial
• Generalized additive model
• Nonparametric regression model
• QTc
• QT interval correction

We propose to use generalized additive models to fit the relationship between QT interval and RR (RR=60/heart rate), and develop two new methods for correcting the QT for heart rate: the linear additive model and log-transformed linear additive model. The proposed methods are compared with six commonly used parametric models that were used in four clinical trial data sets and a simulated data set. The results show that the linear additive models provide the best fit for the vast majority of individual QT-RR profiles. Moreover, the QT correction formula derived from the linear additive model outperforms other correction methods.

• 出版日期2010