Association of nonculprit plaque characteristics with transient slow flow phenomenon during percutaneous coronary intervention

作者：Miura Katsuya^*; Kato Masaya; Dote Keigo; Kagawa Eisuke; Nakano Yoshinori; Oda Noboru; Sasaki Shota

来源：International Journal of Cardiology, 2015, 181: 108-113.

DOI：10.1016/j.ijcard.2014.11.218

• Coronary CT angiography
• Slow flow phenomenon
• Coronary artery disease
• Interventional cardiology
• Non-ST elevation acute coronary syndrome

Background: The slow flow(SF) phenomenon is more prevalent in patients with acute coronary syndrome (ACS), who frequently exhibit vulnerable plaques in remote coronary arteries. We aimed to clarify the impact of nonculprit plaque characteristics on the occurrence of SF using multidetector computed tomography (MDCT). Methods: The study population comprised 180 consecutive patients with non-ST-segment elevation ACS (NSTE-ACS) who underwent MDCT before intervention. The characteristics of culprit and nonculprit lesions were compared between patients with and without SF. Results: SF was observed in 43 (23.8%) of the 180 patients. The prevalence of positive remodeling (PR), low attenuation plaque (LAP), and napkin-ring sign (NRS) in culprit lesion was significantly higher in the SF group than in the non-SF group (86.1% vs. 39.4%; p < 0.001, 81.4% vs. 18.3%; p < 0.001, and 65.1% vs. 16.1%; p < 0.001, respectively). The same result was observed for nonculprit lesions (58.1% vs. 14.6%; p < 0.001, 45.2% vs. 6.6%; p < 0.001, and 14.3% vs. 4.9%; p < 0.04, respectively). Multivariate analysis revealed LAP [odds ratio (OR), 12.8; 95% confidence interval (CI), 3.7-54.7; p < 0.001], and NRS (OR, 5.1; 95% CI, 1.3-25.3; p=0.03) in culprit lesions and PR (OR, 4.7; 95% CI, 1.1-22.2; p = 0.04) in nonculprit lesions were independently associated with SF. Conclusions: The plaque characteristics of nonculprit lesions are associated with the occurrence of SF during percutaneous coronary intervention. Assessment of plaque characteristics of both culprit and nonculprit lesions using MDCT may be useful for the prediction of SF.

• 出版日期2015-2-15