Abstract

Object: Previous studies have shown an association between aortic valve calcification (AVC) and cardiovascular events and mortality. On the other hand, periprocedual myocardial injury (PMI) is known as a predictor of subsequent mortality and other poor clinical outcomes. Hypohtesis: We assessed the hypothesis that presence of AVC could predict PMI in elective percutaneous coronary intervention (PCI). Methods: This study included a total of 372 patients treated with PCI for stable angina pectoris. Aortic valve calcification was defined as bright echoes >1mm on one or more cusps of aortic valve by ultrasound cardiography. PMI was defined as an increase in high-sensitivity troponin T >5 times (0.070 ng/ml) the upper normal limit at 24hours after PCI. Results: AVC was detected in 46.0% (n = 171). The incidence of PMI was significantly higher in patients with AVC than in those without AVC (43.9% vs 10.9%, respectively, p < 0.001). The presence of AVC independently predicted PMI after adjusting for other significant variables (OR 2.18, 95% CI 1.30 to 3.66, p = 0.003). Other predictors were estimated glomerular filtration rate (OR 0.975, 95% CI 0.962 to 0.989, p < 0.001), left anterior descending artery lesion (OR 0.496, 95% CI 0.293 to 0.840, p = 0.01) and total stent length (odds ratio 1.02, 95% confidence interval 1.00 to 1.05, p = 0.03). Conclusion: In conclusion, presence of AVC could predict incidence of PMI. Because detection of AVC by ultrasound cardiography is very simple, it is useful for risk stratifications in elective PCI with stent implantation.

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