Xu Ming-Xing, Teng Ruo-Ling, Ruddy Terrence D, Schoenhagen Paul, Bartel Thomas, Di Bartolomeo Roberto, Aksoy Olcay, Desai Milind, von Kodolitsch Yskert, Escaned Javier, McCullough Peter A, Vasudevan Anupama, Shen Cheng-Xing, Zhao Xin, Zhou Ya-Feng, Xu Hai-Feng, Cheng Xu-Jie, He Yong-Ming
Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Division of Cardiology, Heart Institute, University of Ottawa, Ottawa, Canada.
J Thorac Dis. 2019 Dec;11(12):5199-5209. doi: 10.21037/jtd.2019.12.18.
The SYNTAX score for decision makings or outcome predictions in coronary artery disease does not account for the variations in the coronary anatomy, which is a clear fallacy for patients with less typical anatomy than suggested by the SYNTAX score. The current study aimed to derive a new coronary angiographic scoring system accommodating the variability in the coronary anatomy.
The 17-myocardial segment model and laws of competitive blood supply and flow conservation were utilized to derive this new scoring system.
We obtained 6 types of RCA dominance, 3 types of diagonal size and 3 types of left anterior descending artery (LAD) length, which together resulted in a total of 54 patterns of coronary artery circulation to account for the variability in the coronary anatomy among individuals. A Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system has been designed based on the above-mentioned reclassification scheme (htpp://www.catletscore.com, IE browser is required to run this calculator).
This new CatLet angiographic scoring system accommodated the variability in the coronary anatomy and standardized the collection of the coronary angiographic data, which could facilitate the comparison and exchange of these data between different catheter labs. Its utility for predicting the clinical outcomes and standardizing the angiographic data collection will be investigated in a series of clinical trials enrolling "all-comers" with coronary artery disease (CAD).
用于冠状动脉疾病决策或结果预测的SYNTAX评分未考虑冠状动脉解剖结构的差异,对于解剖结构不如SYNTAX评分所提示的典型的患者而言,这显然是个错误。本研究旨在得出一种新的冠状动脉造影评分系统,以适应冠状动脉解剖结构的变异性。
利用17节段心肌模型以及竞争性血液供应和血流守恒定律得出这一新的评分系统。
我们得出了6种右冠状动脉优势类型、3种对角支大小类型和3种左前降支长度类型,这些类型共同构成了总共54种冠状动脉循环模式,以解释个体之间冠状动脉解剖结构的变异性。基于上述重新分类方案设计了一种冠状动脉树描述与病变评估(CatLet)造影评分系统(http://www.catletscore.com,运行此计算器需要使用IE浏览器)。
这种新的CatLet造影评分系统适应了冠状动脉解剖结构的变异性,规范了冠状动脉造影数据的收集,有助于不同导管实验室之间这些数据的比较和交流。其在预测临床结果和规范造影数据收集方面的效用将在一系列纳入所有冠状动脉疾病患者的临床试验中进行研究。