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165篇 您的检索式:作者名="Vlassis"
    题名 作者 年代 出处 被引量
1Association of arterial stiffness with coronary flow reserve in revascularized coronary artery disease patients显示文摘AIM: To investigate the association of arterial wave reflection with coronary flow reserve(CFR) in coronary artery disease(CAD) patients after successful revascularization.METHODS: We assessed 70 patients with angiographically documented CAD who had undergone recent successful revascularization. We measured(1) reactive hyperemia index(RHI) using fingertip peripheral arterial tonometry(RH-PAT Endo-PAT);(2) carotid to femoral pulse wave velocity(PWVc-Complior);(3) augmentation index(AIx), the diastolic area(DAI%) and diastolic reflection area(DRA) of the central aortic pulse wave(Arteriograph);(4) CFR using Doppler echocardiography; and(5) blood levels of lipoprotein-phospholipase A2(LpPLA2).RESULTS: After adjustment for age, sex, blood pressure parameter, lipidemic, diabetic and smoking status, we found that coronary flow reserve was independently related to AIx(b =-0.38, r = 0.009), DAI(b = 0.36, P = 0.014), DRA(b = 0.39, P = 0.005) and RT(b =-0.29,P = 0.026). Additionally, patients with CFR < 2.5 had higher PWVc(11.6 ± 2.3 vs 10.2 ± 1.4 m/s, P = 0.019), SBPc(139.1 ± 17.8 vs 125.2 ± 19.1 mm Hg, P = 0.026), AIx(38.2% ± 14.8% vs 29.4% ± 15.1%, P = 0.011) and lower RHI(1.26 ± 0.28 vs 1.50 ± 0.46, P = 0.012), DAI(44.3% ± 7.9% vs 53.9% ± 6.7%, P = 0.008), DRA(42.2 ± 9.6 vs 51.6 ± 11.4, P = 0.012) and Lp PLA2(268.1 ± 91.9 vs 199.5 ± 78.4 ng/m L, P = 0.002) compared with those with CFR ≥ 2.5. Elevated Lp PLA2 was related with reduced CFR(r =-0.33, P = 0.001), RHI(r =-0.37, P < 0.001) and DRA(r =-0.35, P = 0.001) as well as increased PWVc(r = 0.34, P = 0.012) and AIx(r = 0.34, P = 0.001). CONCLUSION: Abnormal arterial wave reflections are related with impaired coronary flow reserve despite successful revascularization in CAD patients. There is a common inflammatory link between impaired aortic wall properties, endothelial dysfunction and coronary flow impairment in CAD.Vlassis Tritakis Stavros Tzortzis Ignatios Ikonomidis Kleanthi Dima Georgios Pavlidis Paraskevi Trivilou Ioannis Paraskevaidis Giorgos Katsimaglis John Parissis John Lekakis 2016World Journal of Cardiology2016,8,2:4
2Association of Lp-PLA2 with digital reactive hyperemia, coronary flow reserve, carotid atherosclerosis and arterial stiffness in coronary artery disease显示文摘Ignatios Ikonomidis Nikolaos N.P. Kadoglou Vlassis Tritakis Ioannis Paraskevaidis Kleanthi Dimas Paraskevi Trivilou Ioannis Papadakis Stavros Tzortzis Helen Triantafyllidi John Parissis Maria Anastasiou-Nana John Lekakis 2014Atherosclerosis2014,,1:2
3Attempts to obtain reosseointegration following experiment peri-implantitis in dog显示文摘Wetzel AC Vlassis J Caffesse RG 1999Clin Oral Implants Res1999,10,2:1
4柱突然时效导致的多层建筑连续坍塌(1)——简化评估框架显示文摘B.A.Izzuddin A.G. Vlassis A.Y.Elghazouli D.A. Nethercot 2008钢结构2008,,12:1
5Perseus: Randomized point-based value iteration for POMDPs显示文摘Spaan M T J Vlassis N 2005Journal of Artificial Intelligence Research2005,24,:1
6Progressive collapse of multi-storey buildings due to sudden column loss: part I: simplified assessment framework 显示文摘Izzuddin B A Vlassis A G Elghazouli A Y 2008Engineering Structures2008,30,5:1
7The global K-menas clustering algorithm显示文摘Likas A Vlassis M Verbeek J 2003Pattem Recognition2003,36,2:1
8Unexpected increase of the CA19-9 tomour meker in patients with endometriosis显示文摘Matlliotakis I Panidis D Vlassis G Neonaki M Goumenou A Koumantakis E 1998Eur J Gynecol Oncol1998,19,:1
9The global K-means clustering algorithm显示文摘Likas A Vlassis M Verbeek J 2003Pattern Recognition2003,36,2:1
10The global k-means clustering algorithm 显示文摘Likas Vlassis M Verbeek J 2003Pattern Recognition2003,36,2:1
11The Global k-Means Clustering Algorithm显示文摘Likas A Vlassis N Verbeek J J 0,,:1
12The global K means clustering algorothm 显示文摘Likas A Vlassis M Verbeek J 2003Pattem Recognition2003,36,2:1
13The global k-means clustering algorithm显示文摘Likas A Vlassis N Verbeek J 2003Pattern Recognition2003,36,2:1
14Point-based value iteration for continuous POMDPs显示文摘PORTA J M VLASSIS N SPAAN M T J 2006Journal of Mahine Learning Research2006,7,:1
15The globalk-means algorithm显示文摘 N Vlassis J J Verbeek 2003PatternRecognition2003,36,:1
16Efficient source adaptivity in independent component analysis显示文摘VLASSIS N MOTOMURA Y 2001IEEE Trans on Neural Networks2001,12,3:1
17A greedy EM algorithm for Gaussian mixtare learning显示文摘Vlassis N Likas A 2002Neural Processing Letters2002,15,1:1
18Serum level of the antigens CA125,CA199 and CA153 in patients with endometriosis显示文摘POMIDIS D VLASSIS G MATALIONTAKIS J 1988J Endocrinol Invst1988,11,:1
19Non-communicative multi-robot coordination in dynamic environments显示文摘Kok J R Spaan M T J Vlassis N 2005Robotics andAutonomous Systems2005,50,23:1
20The global k-means clustering algorithm显示文摘Likas A Vlassis N Verbeek J 0,,02:1
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