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".
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".
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DOI：
10.1002/cpt.408
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发表时间：
2016-10
影响因子：
6.7
通讯作者：
Darbar D
中科院分区：
文献类型：
--
作者：
McCauley MD;Darbar D
药物诱导的长QT综合征（diLQTS）是一种临床症状，在这种情况下，药物的使用会导致心电图上QT间期的明显延长。DiLQTS使患者有发展为尖扭转（TdP）的风险，这是一种与心律失常性心源性猝死（SCD）相关的恶性多形性室性心动过速。除了diLQTS外，TdP的其他临床危险因素包括女性、心动过缓、电解质紊乱、最近转为正常（窦性）节律和先天性LQTS。
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.