Catlet scoring system as a new predictor for in-stent restenosis in patients with chronic coronary artery disease undergoing percutaneous coronary intervention with drug-eluting stent.

IF 1.5 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of Cardiothoracic Surgery Pub Date : 2025-01-29 DOI:10.1186/s13019-025-03349-2
Juan Wang, Mingchao Zhang, Weipeng Gan, Mingxing Xu, JiaYan Zhou, Lingfei Yang, Yongsheng Ke
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Abstract

Background: He's team have recently developed a new Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system, which is capable of accounting for the variability in coronary anatomy, and risk-stratifying patients with coronary artery disease. Preliminary studies have demonstrated its superiority over the the Synergy between percutaneous coronary intervention with Taxus and Cardiac Surgery (SYNTAX) score with respect to outcome predictions for acute myocardial infarction (AMI) patients. However, there are fewer studies on the prognostic in chronic coronary artery disease(CAD). This study aimed to clarify whether the CatLet score had a predictive value for in-stent restenosis(ISR) in patients with chronic coronary artery disease undergoing percutaneous coronary intervention with drug-eluting stent(DES).

Methods: A total of 260 patients who were diagnosed with chronic CAD and underwent coronary DES implantation at the second affiliated Hospital of Wannan medical college in China were consecutively enrolled from January 2020 to June 2021.Finally, 164 patients underwent the second angiography after 2 years.According to whether ISR was detected at follow-up angiography, patients were divided into the ISR group (n = 26) and the non-ISR group (n = 139).

Results: A total of 165 patients (46 women and 119 men) with a mean ages of 66.19 ± 10.54 years were finally enrolled in this study. Of these, ISR occurred in 26/165 chronic CAD patients (15.76%) by follow-up angiography. Univariate analysis showed that most baseline characteristics of the ISR and non-ISR group were similar. Patients in the ISR group had significantly the history of chronic obstructive pulmonary disease(COPD), adverse lesion characteristic, higher Catlet score compared with patients in the non-ISR group.The CatLet score was capable of predicting in-stent restenosis after adjustment for risk factors; The Multivariable-adjusted model showed good calibration and good discrimination (area under ROC curve = 0.7164) for ISR.

Conclude: CatLet score is a new predictor of ISR in patients with chronic CAD after coronary DES implantation.

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Catlet评分系统作为慢性冠状动脉疾病经皮冠状动脉药物洗脱支架介入治疗患者支架内再狭窄的新预测指标
背景:他的团队最近开发了一种新的冠状动脉树描述和病变评估(CatLet)血管造影评分系统,该系统能够解释冠状动脉解剖结构的可变性,并对冠状动脉疾病患者进行风险分层。初步研究表明,在预测急性心肌梗死(AMI)患者的预后方面,其优于经皮冠状动脉介入治疗与心脏手术(SYNTAX)评分的协同作用。然而,关于慢性冠状动脉疾病(CAD)预后的研究较少。本研究旨在阐明CatLet评分是否对经皮冠状动脉药物洗脱支架介入治疗(DES)的慢性冠状动脉疾病患者支架内再狭窄(ISR)具有预测价值。方法:于2020年1月至2021年6月,连续入选中国万南医学院第二附属医院诊断为慢性CAD并行冠状动脉DES植入的患者260例。最后,164例患者在2年后进行了第二次血管造影。根据随访血管造影是否检测到ISR,将患者分为ISR组(n = 26)和非ISR组(n = 139)。结果:最终纳入165例患者,其中女性46例,男性119例,平均年龄66.19±10.54岁。其中,随访血管造影显示,165例慢性CAD患者中有26例(15.76%)发生ISR。单因素分析显示,ISR组和非ISR组的大多数基线特征相似。与非ISR组相比,ISR组患者有明显的慢性阻塞性肺疾病(COPD)病史,不良病灶特征,Catlet评分较高。校正危险因素后,CatLet评分能够预测支架内再狭窄;多元校正模型对ISR具有良好的定标性和判别性(ROC曲线下面积= 0.7164)。结论:CatLet评分是慢性冠心病患者冠脉DES植入后ISR的一个新的预测指标。
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来源期刊
Journal of Cardiothoracic Surgery
Journal of Cardiothoracic Surgery 医学-心血管系统
CiteScore
2.50
自引率
6.20%
发文量
286
审稿时长
4-8 weeks
期刊介绍: Journal of Cardiothoracic Surgery is an open access journal that encompasses all aspects of research in the field of Cardiology, and Cardiothoracic and Vascular Surgery. The journal publishes original scientific research documenting clinical and experimental advances in cardiac, vascular and thoracic surgery, and related fields. Topics of interest include surgical techniques, survival rates, surgical complications and their outcomes; along with basic sciences, pediatric conditions, transplantations and clinical trials. Journal of Cardiothoracic Surgery is of interest to cardiothoracic and vascular surgeons, cardiothoracic anaesthesiologists, cardiologists, chest physicians, and allied health professionals.
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