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Prognostic impact of lipid contents on the target lesion in patients with drug eluting stent implantation
Authors:Soichiro Kumagai  Hiroaki Takashima  Katsuhisa Waseda  Hirohiko Ando  Akihiro Suzuki  Tadayuki Uetani  Ken Harada  Tomohiro Yoshida  Ayako Kunimura  Yusaku Shimbo  Katsuhide Kitagawa  Kazuhiro Harada  Hideki Ishii  Daiji Yoshikawa  Tatsuaki Matsubara  Toyoaki Murohara  Tetsuya Amano
Affiliation:1. Department of Cardiology, Aichi Medical University, 1-1 Karimata, Yazako, Nagakute, Aichi, 480-1195, Japan
2. Department of Cardiology, Chubu-Rosai Hospital, Nagoya, Japan
3. Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
4. Department of Cardiology, Japanese Red Cross Nagoya Daiichi Hospital, Nagoya, Japan
5. Department of Internal Medicine, School of Dentistry, Aichi-Gakuin University, Nagoya, Japan
Abstract:We sought to determine the morphologic predictors of major adverse cardiac events (MACEs) after successful percutaneous coronary intervention (PCI) with drug-eluting stents (DES), using integrated backscatter intravascular ultrasound (IB-IVUS). Conventional IVUS and IB-IVUS were performed in 260 consecutive patients who underwent PCI with DES. Three-dimensional analyses were performed to determine plaque volume and the volume of each plaque component (lipid, fibrous, and calcification). Patients were divided into two groups according to the median lipid volume (LV) in the target lesion. MACEs were defined as death, nonfatal myocardial infarction, and any repeat revascularization. The median follow-up interval was 1285 days. MACEs were observed in 64 patients (24.6 %). Patients having a larger LV compared with their counterparts had worse long-term clinical outcomes regarding mortality (3.8 vs. 0 %, P = 0.02) and MACEs (31.5 vs. 17.7 %, P = 0.008) by log-rank test. After adjustment for confounders, large LV (odds ratio 1.95, 95 % confidence interval 1.14–3.33, P = 0.02) was significantly and independently associated with MACEs. The assessment of coronary plaque characteristics in the target lesion may be useful to predict long-term outcome following successful coronary intervention.
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