Department of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Department of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Clin Investig Arterioscler. 2022 Jul-Aug;34(4):183-192. doi: 10.1016/j.arteri.2021.12.001. Epub 2022 Feb 8.
Carotid intima-media thickness (CIMT) is considered a marker of atherosclerosis, but the data is lacking from the South Asian population. We aimed to study the relation of CIMT with the presence and severity of coronary artery disease (CAD) in this population.
This was a prospective, single-center study of consecutive patients undergoing elective coronary angiography. Participants with >50% luminal stenosis in any major coronary artery were included in the CAD group and those with normal coronaries in the non-CAD group. Multivariate linear regression analysis was done to determine independent predictors of CAD. Pearson's correlation coefficients assessed correlations between CIMT and Syntax and Gensini score.
The mean CIMT was significantly much higher in the CAD group when compared to the non-CAD group (0.83±0.16 vs 0.61±0.14mm, p<0.001). On multivariable linear regression analysis only diabetes (β=0.208 and p=0.024), waist-hip ratio (β=0.178 and p=0.043), current smoker (β=0.293 and p=<0.001) and CIMT (β=0.217 and p=0.031) were independent predictors of CAD. The mean Gensini score in the CAD group was 48.59±34.25 and the mean Syntax score was 19.45±10.24. No significant relation was found between CIMT and Gensini score (r=0.009 and p=0.89), and Syntax score (r=-0.087 and p=0.171).
Mean CIMT is an independent predictor of CAD along with diabetes, waist-hip ratio, and smoking. However, CIMT was not related to the severity and complexity of the CAD as assessed by the Gensini score and Syntax score, respectively.
颈动脉内膜中层厚度(CIMT)被认为是动脉粥样硬化的标志物,但南亚人群的数据尚缺乏。我们旨在研究该人群中 CIMT 与冠状动脉疾病(CAD)的存在和严重程度的关系。
这是一项连续入选行选择性冠状动脉造影的患者的前瞻性单中心研究。任何主要冠状动脉中存在>50%管腔狭窄的患者被纳入 CAD 组,而冠状动脉正常的患者被纳入非 CAD 组。进行多变量线性回归分析以确定 CAD 的独立预测因素。Pearson 相关系数评估了 CIMT 与 Syntax 和 Gensini 评分之间的相关性。
与非 CAD 组相比,CAD 组的平均 CIMT 显著更高(0.83±0.16 vs 0.61±0.14mm,p<0.001)。多变量线性回归分析仅显示糖尿病(β=0.208,p=0.024)、腰围臀围比(β=0.178,p=0.043)、当前吸烟者(β=0.293,p<0.001)和 CIMT(β=0.217,p=0.031)是 CAD 的独立预测因素。CAD 组的平均 Gensini 评分为 48.59±34.25,平均 Syntax 评分为 19.45±10.24。未发现 CIMT 与 Gensini 评分(r=0.009,p=0.89)和 Syntax 评分(r=-0.087,p=0.171)之间存在显著关系。
平均 CIMT 是 CAD 的独立预测因素,与糖尿病、腰围臀围比和吸烟有关。然而,CIMT 与 Gensini 评分和 Syntax 评分分别评估的 CAD 的严重程度和复杂性之间没有关系。