Angiographic Scoring System for Predicting Successful Percutaneous Coronary Intervention of In-Stent Chronic Total Occlusion.

Journal: Journal Of Cardiovascular Translational Research
Published:
Abstract

The purpose of this study was to develop a scoring model to predict the technical success of recanalizing via antegrade approach in-stent chronic total occlusion (IS-CTO) by percutaneous coronary intervention (PCI). We retrospectively collected data from 474 patients who underwent an uneasy IS-CTO PCI via antegrade approach from January 2015 to December 2018, consecutively. We selected clinical and angiographic factors and utilized a derivation and validation cohort (4:1 sampling ratio) analysis. Factors with strong correlations with technical failure, according to multivariable analysis, were assigned 1 point, and a scoring system with a 4-point maximum was established. The model was then validated with a validation cohort. The overall procedural success rate was 77.4%. On multivariable analysis, the factors that correlated with technical failure were proximal bending (beta coefficient [β] = 2.142), tortuosity (β = 2.622), stent under expansion (β = 3.052), and poor distal landing zone (β = 2.004). The IS-CTO score demonstrated good calibration and excellent predicting capacity in the derivation (receiver-operator characteristic [ROC] area = 0.973 and Hosmer-Lemeshow chi-squared = 5.252; p = 0.072) and validation (ROC area = 0.976 and Hosmer-Lemeshow chi-squared = 0.916; p = 0.632) cohorts. In the validation subset, the IS-CTO score demonstrated superior performance to the Japanese chronic total occlusion score (J-CTO) and PROGRESS CTO scores for predicting technical success (area under the a curve [AUC] 0.976 vs. 0.642 vs. 0.579, respectively; difference in AUC between the IS-CTO score and J-CTO score = 0.334, p < 0.01; difference in AUC between the IS-CTO score and PROGRESS score = 0.397, p < 0.01). Our results suggest that the IS-CTO score system is a helpful tool to predict the technical success of IS-CTO PCI via antegrade approach in china. Graphical Abstract.

Authors
Minglian Gong, Hongyu Peng, Zheng Wu, Wenzheng Li, Yun Lv, Yuan Lv, Ze Zheng, Tao An, Jing Zhang, Mingrui Lv, Xin Li, Hangyu Gong, Yi Mao, Jinghua Liu

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