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"

Clin Pharmacol Ther. 2016 Oct;100(4):324-6. doi: 10.1002/cpt.408. Epub 2016 Aug 1.

Abstract

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.

Publication types

  • Comment

MeSH terms

  • Algorithms
  • Electrocardiography
  • Female
  • Humans
  • Long QT Syndrome*
  • Machine Learning
  • Risk Factors
  • Torsades de Pointes*