A new paradigm for predicting risk of Torsades de Pointes during drug development: Commentary on: "Improved prediction of drug-induced Torsades de Pointes through simulations of dynamics and machine learning algorithms".
Drug-induced long QT syndrome (diLQTS) is a clinical entity in which administration of a drug produces marked prolongation of the QT interval on the ECG. DiLQTS places a patient at risk of developing Torsades de Pointes (TdP), a malignant polymorphic ventricular tachycardia associated with arrhythmic sudden cardiac death (SCD). In addition to diLQTS, other clinical risk factors for TdP include female gender, bradycardia, electrolyte disturbances, recent conversion to normal (sinus) rhythm, and congenital LQTS.
Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois, USA.
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McCauley
Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois, USA. darbar@uic.edu.
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Darbar
D000465:Algorithms; D004562:Electrocardiography; D005260:Female; D006801:Humans; D008133:Long QT Syndrome; D000069550:Machine Learning; D012307:Risk Factors; D016171:Torsades de Pointes