Division of Cardiology, Tokai University School of Medicine, Isehara, Japan.
JACC Cardiovasc Interv. 2011 Feb;4(2):213-21. doi: 10.1016/j.jcin.2010.09.024.
This study sought to establish a model for grading lesion difficulty in interventional chronic total occlusion (CTO) treatment.
Owing to uncertainty of success of the procedure and difficulties in selecting suitable cases for treatment, performance of interventional CTO remains infrequent.
Data from 494 native CTO lesions were analyzed. To eliminate operator bias, the objective parameter of successful guidewire crossing within 30 min was set as an end point, instead of actual procedural success. All observations were randomly assigned to a derivation set and a validation set at a 2:1 ratio. The J-CTO (Multicenter CTO Registry of Japan) score was determined by assigning 1 point for each independent predictor of this end point and summing all points accrued. This value was then used to develop a model stratifying all lesions into 4 difficulty groups: easy (J-CTO score of 0), intermediate (score of 1), difficult (score of 2), and very difficult (score of ≥ 3).
The set end point was achieved in 48.2% of lesions. Independent predictors included calcification, bending, blunt stump, occlusion length >20 mm, and previously failed lesion. Easy, intermediate, difficult, and very difficult groups, stratified by J-CTO score, demonstrated stepwise, proportioned, and highly reproducible differences in probability of successful guidewire crossing within 30 min (87.7%, 67.1%, 42.4%, and 10.0% in the derivation set and 92.3%, 58.3%, 34.8%, and 22.2% in the validation set, respectively). Areas under receiver-operator characteristic curves were comparable (derivation: 0.82 vs. validation: 0.76).
This model predicted the probability of successful guidewire crossing within 30 min very well and can be applied for difficulty grading.
本研究旨在建立介入治疗慢性完全闭塞(CTO)病变难度分级模型。
由于介入治疗 CTO 的成功率存在不确定性,且选择合适病例进行治疗存在困难,因此介入治疗 CTO 的应用仍不广泛。
对 494 例原发性 CTO 病变患者的数据进行了分析。为消除术者偏倚,以导丝在 30 分钟内成功通过作为终点,而不是实际手术成功,设定了一个客观参数。所有观察结果均以 2:1 的比例随机分配到推导集和验证集中。根据该终点的独立预测因素,为每个因素赋值 1 分,累加所有积分,确定 J-CTO(日本多中心 CTO 注册研究)评分。然后,根据该评分值将所有病变分为 4 个难度组:容易(J-CTO 评分为 0)、中等(评分为 1)、困难(评分为 2)和非常困难(评分为≥3)。
48.2%的病变达到了设定的终点。独立的预测因素包括钙化、弯曲、钝性残端、闭塞长度>20mm 和之前失败的病变。根据 J-CTO 评分,分为容易、中等、困难和非常困难的 4 个组,在 30 分钟内成功导丝通过的概率呈逐步递增、比例递增和高度可重现性差异(推导集分别为 87.7%、67.1%、42.4%和 10.0%,验证集分别为 92.3%、58.3%、34.8%和 22.2%)。受试者工作特征曲线下面积相当(推导集:0.82;验证集:0.76)。
该模型能够很好地预测 30 分钟内成功导丝通过的概率,可以用于难度分级。