Carotid intima-media thickness predicted the presence but not the severity or complexity of coronary artery disease in a South Asian population

Bhupendra Verma , Deepak Katyal
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Abstract

Background

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.

Methods

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.

Results

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 ± 0.14 mm, 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).

Conclusion

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.

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颈动脉内膜-中膜厚度预测南亚人群冠状动脉疾病的存在,但不能预测其严重程度或复杂性
颈动脉内膜-中膜厚度(CIMT)被认为是动脉粥样硬化的标志,但缺乏南亚人群的数据。我们的目的是研究CIMT与冠状动脉疾病(CAD)的存在和严重程度的关系。方法:这是一项前瞻性、单中心研究,纳入了连续接受择期冠状动脉造影的患者。任何主要冠状动脉管腔狭窄50%的受试者被纳入冠心病组,冠状动脉正常的受试者被纳入非冠心病组。采用多元线性回归分析确定CAD的独立预测因素。Pearson相关系数评估CIMT与Syntax和Gensini评分之间的相关性。结果CAD组的平均CIMT明显高于非CAD组(0.83±0.16 vs 0.61±0.14 mm, p <0.001)。在多变量线性回归分析中,只有糖尿病(β = 0.208, p = 0.024)、腰臀比(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的独立预测因子。CAD组Gensini评分平均值为48.59±34.25,Syntax评分平均值为19.45±10.24。CIMT与Gensini评分(r = 0.009, p = 0.89)、Syntax评分(r = - 0.087, p = 0.171)无显著相关。结论平均CIMT与糖尿病、腰臀比和吸烟是CAD的独立预测因子。然而,根据Gensini评分和Syntax评分,CIMT与CAD的严重程度和复杂性无关。
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