术前心电图预测心脏再同步化治疗反应性的研究进展  

Progress in preoperative ECG to predict the response to cardiac resynchronization therapy

作　　者：承燕 张常莹 王如兴 Cheng Yan;Zhang Chang-ying;Wang Ru-xing(Department of Cardiology,Wuxi People's Hospital Affiliated to Nanjing Medical University,Wuxi Jiangsu 214023,China)

机构地区：[1]南京医科大学附属无锡人民医院心内科,江苏无锡214023

出　　处：《实用心电学杂志》2020年第6期438-442,共5页Journal of Practical Electrocardiology

基　　金：国家自然科学基金面上项目(81770331);无锡市青年医学人才项目(QNRC010)。

摘　　要：QRS时限联合完全性左束支传导阻滞的标准下心脏再同步治疗(cardiac resynchronization therapy,CRT)无应答率仍较高。QRS时限指数、R波异质性和T波异质性、碎裂QRS波、QRS面积、绝对QRST积分和心电图的机器学习可以反映心脏的不同步性及心肌纤维化程度等特征,能有效预测CRT反应性。筛选新的心电图指标进行联合应用有助于更准确地预测CRT的反应性。机器学习正在并将为CRT候选者的筛选提供更好的方案。Non-response rate remains to be high when QRS duration combined with complete left bundle branch block is used as the patient selection criteria for cardiac resynchronization therapy(CRT).QRS duration index,R-wave and T-wave heterogeneity,fragmented QRS complex,QRS area,sum absolute QRST integral and machine learning of ECG are associated with cardiac asynchrony and degree of myocardial fibrosis,and could predict CRT response effectively.Combination of novel ECG indicators helps to predict CRT response more accurately.Machine learning has been providing a better solution for the selection of CRT candidates.

关 键 词：心电图 心脏再同步化治疗 反应性 

分 类 号：R540.41[医药卫生—心血管疾病]