کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2963069 1178528 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combination of pulse wave velocity with clinical factors as a promising tool to predict major adverse cardiac events after percutaneous coronary intervention
ترجمه فارسی عنوان
ترکیبی از سرعت موج پالس با عوامل بالینی به عنوان یک ابزار امیدوار کننده برای پیشگیری از وقوع حوادث قلبی بزرگ پس از مداخله عروق کرونر
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی کاردیولوژی و پزشکی قلب و عروق
چکیده انگلیسی

BackgroundThe relationship between aortic stiffness and coronary artery disease has been proven. Logistic Clinical SYNTAX score (LogCSS), which combined the anatomical evaluation of coronary artery disease and three clinical factors (age, left ventricular ejection fraction, and creatinine clearance), showed improved predictive value for cardiovascular events in patients after percutaneous coronary intervention (PCI). The combination of pulse wave velocity (PWV) and clinical factors may show equivalent predictive value.MethodsThree hundred and seventy-six patients who were diagnosed with non-ST-segment elevation coronary syndrome (ACS) and showed at least one ≥50% angiographic stenosis in a major coronary artery were enrolled. The Clinical PWV score was calculated by assigning points to different levels of age, creatinine clearance, left ventricular ejection fraction, and carotid–femoral PWV (cfPWV). The points for cfPWV were determined based on the cutoff values of quintiles (model 1) or the relationship between cfPWV and SYNTAX scores (model 2). The predictive values of LogCSS and Clinical PWV score for 3-year major adverse cardiac events (MACE), which were defined as all-cause death, nonfatal myocardial infarction, and nonfatal target vessel revascularization, were analyzed in 298 patients undergoing PCI.ResultsThe Clinical PWV score based on model 2 demonstrated a similar predictive ability for 3-year MACE compared with LogCSS (AUC 0.72 vs. 0.75; p = 0.11). The AUC of LogCSS was significantly higher than the AUC of Clinical PWV score based on model 1 (AUC = 0.70, p = 0.03). Compared with cfPWV in isolation (AUC = 0.61), Clinical PWV score from model 2 showed significantly better predictive power (p = 0.03).ConclusionCombination of PWV with age, creatinine clearance, and left ventricular ejection fraction appears to be a promising tool to predict MACE after PCI in patients with ACS.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cardiology - Volume 65, Issue 4, April 2015, Pages 318–323
نویسندگان
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