Demirbag Recep, Yilmaz Remzi
Department of Cardiology, Faculty of Medicine, Harran University, P.K.: 112, Sanliurfa, Turkey.
Heart Vessels. 2005 Sep;20(5):224-9. doi: 10.1007/s00380-005-0837-5.
It is now known that a C-shaped right coronary artery (RCA) (C-RCA) is associated with more atherosclerotic disease than a sigma-shaped RCA (S-RCA). This study was designed to investigate the relationship between the shape of the RCA and the presence, extent, and severity of coronary artery disease (CAD) in all coronary arteries. Two hundred and forty-five patients were divided into C-RCA (group 1, n = 161) and S-RCA (group 2, n = 84) groups. The vessel score, extent score, and Gensini score were higher in group 1 than in group 2 (P < 0.001 for all comparisons). In multivariate analyses, age (P = 0.001), male sex (P < 0.001), smoking (P = 0.002), and C-RCA (P < 0.001) were independent predictors of significant CAD (presence of at least one lesion causing at least >50% stenosis). Multiple linear regression analysis to predict vessel score identified C-RCA (P < 0.001), age (P = 0.004), and male sex (P = 0.020), to predict extent score identified C-RCA (P < 0.001), age (P = 0.005), and male sex (P = 0.003), and to predict Gensini score identified C-RCA (P < 0.001), male sex (P = 0.009), and dyslipidemia (P = 0.049) as independently associated variables. Sensitivity and specificity of C-RCA for detecting significant CAD were 79% and 46%, respectively. This study showed that C-RCA was an independent predictor of significant CAD, which was independently associated with vessel score, extent score, and Gensini score. However, it was not clinically useful, because it was not specific or sensitive enough to identify patients with significant CAD.
现已明确,C形右冠状动脉(RCA)(C-RCA)比σ形RCA(S-RCA)与更多的动脉粥样硬化疾病相关。本研究旨在调查RCA的形状与所有冠状动脉中冠状动脉疾病(CAD)的存在、范围及严重程度之间的关系。245例患者被分为C-RCA组(第1组,n = 161)和S-RCA组(第2组,n = 84)。第1组的血管评分、范围评分和Gensini评分均高于第2组(所有比较的P < 0.001)。在多变量分析中,年龄(P = 0.001)、男性(P < 0.001)、吸烟(P = 0.002)和C-RCA(P < 0.001)是显著CAD(存在至少一处导致至少>50%狭窄的病变)的独立预测因素。预测血管评分的多元线性回归分析确定C-RCA(P < 0.001)、年龄(P = 0.004)和男性(P = 0.020),预测范围评分确定C-RCA(P < 0.001)、年龄(P = 0.005)和男性(P = 0.003),预测Gensini评分确定C-RCA(P < 0.001)、男性(P = 0.009)和血脂异常(P = 0.049)为独立相关变量。C-RCA检测显著CAD的敏感性和特异性分别为79%和46%。本研究表明,C-RCA是显著CAD的独立预测因素,与血管评分、范围评分和Gensini评分独立相关。然而,它在临床上并无用处,因为其特异性和敏感性不足以识别患有显著CAD的患者。