A Box-Cox Approach to QT Interval Correction for Heart Rate

Journal of Data Science

article

Duolao Wang¹  Radivoj Arezina MD²  Jorg Taubel MD² 

[1] Department of Clinical Sciences, Liverpool School of Tropical Medicine;Richmond Pharmacology, St George's University of London

关键词: ECG;    Box-Cox transformation;    QTc;    QT interval correction;    horoughQT study.;   

DOI  :  10.6339/JDS.201604_14(2).0001

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

QT interval on an electrocardiogram (ECG) trace is a widely usedsurrogate parameter in drug development to detect the potential of drugs to causelife threatening cardiac arrhythmias. It changes inversely with the magnitude ofheart rate (Heart rate=60/RR, RR stands for RR interval on an ECG reading) andis often corrected to a heart rate independent value known as the corrected QTinterval (QTc). Various parametric QT correction formulae have been proposedby specifying the QT and heart rate relationships explicitly by a fixed number ofparameters. This paper proposes to use the Box-Cox transformation to fit the QTRR relationship, and develops a new method for correcting the QT interval forheart rate. The six commonly used parametric models are the special cases ofBox-Cox transformed model. We discuss the model parameter estimation andassess the performance of QT correction formulae derived from four types ofBox-Cox transformations using four off-drug ECG datasets and one on-drug ECGdataset, as well as a simulated dataset. The results show that all four derived QTcorrection formulae from Box-Cox transformation generate a heart rateindependent QTc and that the QT correction formula derived from transformationof both QT and RR generates QTc with smaller variations. The Box-Coxtransformation represents a very flexible family for modelling QT-RRrelationships including the six commonly used parameter models, thus providing apotentially better QT correction method than the existing parametric models.

【 授权许可】

CC BY