Comparison of six commonly used QT correction models and their parameter estimation methods.
This paper compares six commonly used QT correction models and three available parameter estimation methods using five indices for QTc evaluation based on real and simulated electrocardiograph (ECG) datasets. The results show that the golden section approach always finds the correction factor making QTc interval uncorrelated to heart rate for all six formulas. However, the correction formulas derived from mixed model sometimes fail to make QTc interval invariant of heart rate. The performance of an individual least-square regression method lies between the golden section iteration approach and the mixed model in terms of QTc-RR relationship.
Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom. Duolao.Wang@lshtm.ac.uk
Duolao
D
Wang
Jorg
J
Taubel
Radivoj
R
Arezina
D001145:Arrhythmias, Cardiac / Q000139:chemically induced; D003198:Computer Simulation; D018592:Cross-Over Studies; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D055808:Drug Discovery / Q000379:methods / Q000706:statistics & numerical data; D015507:Drugs, Investigational / Q000009:adverse effects; D004562:Electrocardiography / Q000379:methods / Q000706:statistics & numerical data*; D006339:Heart Rate / Q000187:drug effects; D006801:Humans; D016018:Least-Squares Analysis; D008133:Long QT Syndrome / Q000139:chemically induced* / Q000503:physiopathology; D008955:Models, Cardiovascular; D015233:Models, Statistical; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*
D015507:Drugs, Investigational