Journal of atherosclerosis and thrombosis · 2016
Predictive Value of Aortic Valve Calcification for Periprocedural Myocardial Injury in Patients Undergoing Percutaneous Coronary Intervention.
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Shibata Yohei, Ishii Hideki, Suzuki Susumu, Tanaka Akihito, Tatami Yosuke, Harata Shingo, Ota Tomoyuki, Shimbo Yusaku, Takayama Yohei, Kunimura Ayako, Hirayama Kenshi, Harada Kazuhiro, Osugi Naohiro, Murohara Toyoaki
Аннотация
AIMS: Previous studies have shown that aortic valve calcification (AVC) was associated with cardiovascular events and mortality. On the other hand, periprocedural myocardial injury (PMI) in percutaneous coronary intervention (PCI) is a well-known predictor of subsequent mortality and poor clinical outcomes. The purpose of the study was to assess the hypothesis that the presence of AVC could predict PMI in PCI.
METHODS: This study included 370 patients treated with PCI for stable angina pectoris. AVC was defined as bright echoes ＞1 mm on one or more cusps of the aortic valve on ultrasound cardiography (UCG). PMI was defined as an increase in high-sensitivity troponin T level of ＞5 times the upper normal limit (＞0.070 ng/ml) at 24 hours after PCI.
RESULTS: AVC was detected in 45.9% of the patients (n=170). The incidence of PMI was significantly higher in the patients with AVC than in those without AVC (43.5% vs 21.0%, p＜0.001). The presence of AVC independently predicted PMI after adjusting for other significant variables (odds ratio 2.26, 95% confidence interval 1.37-3.74, p=0.002). Other predictors were male sex, age, estimated glomerular filtration rate, and total stent length. Furthermore to predict PMI, adding AVC to the established risk factors significantly improved the area under the receiver operating characteristic curves, from 0.68 to 0.72, of the PMI prediction model (p=0.025).
CONCLUSION: The presence of AVC detected in UCG could predict the incidence of PMI.
METHODS: This study included 370 patients treated with PCI for stable angina pectoris. AVC was defined as bright echoes ＞1 mm on one or more cusps of the aortic valve on ultrasound cardiography (UCG). PMI was defined as an increase in high-sensitivity troponin T level of ＞5 times the upper normal limit (＞0.070 ng/ml) at 24 hours after PCI.
RESULTS: AVC was detected in 45.9% of the patients (n=170). The incidence of PMI was significantly higher in the patients with AVC than in those without AVC (43.5% vs 21.0%, p＜0.001). The presence of AVC independently predicted PMI after adjusting for other significant variables (odds ratio 2.26, 95% confidence interval 1.37-3.74, p=0.002). Other predictors were male sex, age, estimated glomerular filtration rate, and total stent length. Furthermore to predict PMI, adding AVC to the established risk factors significantly improved the area under the receiver operating characteristic curves, from 0.68 to 0.72, of the PMI prediction model (p=0.025).
CONCLUSION: The presence of AVC detected in UCG could predict the incidence of PMI.