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双重抗血小板治疗持续时间

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Original ResearchVolume 74, Issue 19, November 2019

JOURNAL:J Am Coll Cardiol. Article Link

A Novel Algorithm for Treating Chronic Total Coronary Artery Occlusion

H Tanaka, E Tsuchikane, T Muramatsu et al. Keywords: algorithm; chronic total occlusion; guidewire manipulation time; PCI

ABSTRACT


BACKGROUND - Guidewire manipulation time is rarely used in chronic total occlusion (CTO) percutaneous coronary intervention (PCI) strategies.

 

OBJECTIVES - This study sought to develop an algorithm based on angiographic characteristics and guidewire manipulation time.

 

METHODS - This study assessed 5,843 patients undergoing CTO PCI between January 2014 and December 2017 and enrolled in the Japanese CTO-PCI expert registry and analyzed their CTO-PCI strategies, procedural outcomes, and guidewire manipulation time.

 

RESULTS - Primary retrograde approach was performed on 1,562 patients. The average Japanese CTO score of primary antegrade approach and primary retrograde approach were 1.7 ± 1.1 and 2.3 ± 1.1, respectively (p < 0.001). The overall guidewire and technical success rates were 92.8% and 90.6%, respectively. Median guidewire manipulation time of guidewire success and failure were 56 min (interquartile range [IQR]: 22 to 111 min) and 176 min (IQR: 130 to 229 min), respectively. Median successful guidewire crossing time of single wiring and parallel wiring in the antegrade alone were 23 min (IQR: 11 to 44 min) and 60 min (IQR: 36 to 97 min), and rescue retrograde approach and primary retrograde approach were 126 min (IQR: 87 to 174 min) and 107 min (IQR: 70 to 161 min), respectively (p < 0.001). Significant predictors for antegrade guidewire failure in primary antegrade approach, which were reattempt, CTO length of 20 mm, and no stump, did not predict guidewire failure after collateral channel crossing in primary retrograde approach.

 

CONCLUSIONS - Results from a large registry with information on guidewire manipulation time as well as CTO characteristics suggest a redefinition of the current strategy algorithms.