Limprasutr Vudhiporn, Pirintr Prapawadee, Kijtawornrat Anusak, Hamlin Robert L
Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri Dunant Road, Wang Mai, Pathumwan, Bangkok 10330, Thailand.
Department of Veterinary Biosciences and Veterinary Public Health, Faculty of Veterinary Medicine, Chiang Mai University, 155 Tumbon Mae Hiae, Muang, Chiang Mai 50100, Thailand.
Exp Anim. 2018 May 10;67(2):175-183. doi: 10.1538/expanim.17-0100. Epub 2017 Nov 21.
The QTc interval is widely used in Safety Pharmacological studies to predict arrhythmia risk, and the electromechanical window (EMW) and short-term variability of QT intervals (STV) have been studied as new biomarkers for drug-induced Torsades de Pointes (TdP). However, the use of EMW and STV to predict ventricular fibrillation (VF) has not been elucidated. This study aimed to evaluate EMW and STV to predict VF in anesthetized rabbit model of VF. VF was induced by ligation of the left anterior descending and a descending branch of the left circumflex coronary arteries in a sample population of rabbits (n=18). VF was developed 55.6% (10/18). In rabbit with VF, the EMW was significantly higher than in rabbits without VF (96.3 ± 15.6 ms and 49.5 ± 5.6 ms, respectively, P<0.05). STV had significantly increased before the onset of VF in rabbits that experienced VF, but not in rabbits that did not experience VF (11.7 ± 1.8 ms and 3.7 ± 0.4 ms, respectively, P<0.05). The EMW and STV had better predictive power for VF with higher sensitivity and specificity than the QTc measure. The result suggested that the increasing of EMW, as well as the elevation of STV, can potentially be used as biomarkers for predicting of VF.
QTc间期在安全药理学研究中被广泛用于预测心律失常风险，而机电窗（EMW）和QT间期的短期变异性（STV）已作为药物诱发尖端扭转型室速（TdP）的新生物标志物进行了研究。然而，EMW和STV用于预测心室颤动（VF）的情况尚未阐明。本研究旨在评估EMW和STV在麻醉兔VF模型中预测VF的能力。通过结扎兔样本群体（n=18）的左前降支和左旋支冠状动脉来诱发VF。VF发生率为55.6%（10/18）。发生VF的兔的EMW显著高于未发生VF的兔（分别为96.3±15.6毫秒和49.5±5.6毫秒，P<0.05）。经历VF的兔在VF发作前STV显著增加，但未经历VF的兔则没有（分别为11.7±1.8毫秒和3.7±0.4毫秒，P<0.05）。与QTc测量相比，EMW和STV对VF具有更好的预测能力，敏感性和特异性更高。结果表明，EMW的增加以及STV的升高有可能作为预测VF的生物标志物。
