Endocrine and Metabolism Research Center (EMRC), Obesity and Food Group Set, Tehran University of Medical Sciences, Tehran, Iran.
Atherosclerosis. 2013 Apr;227(2):329-33. doi: 10.1016/j.atherosclerosis.2013.01.033. Epub 2013 Feb 8.
We aimed to compare the accuracy of a novel index defined by us, as a ratio of Sagittal abdominal diameter (SAD) and triceps skinfold thickness (TSF) with other indices of adiposity for prediction of presence, severity and extension of premature coronary artery disease (CAD).
A cross-sectional study was conducted on 238 younger patients (females <55 years; males <45 years) who underwent coronary angiography. Anthropometric indices including TSF, SAD, waist circumference, and hip circumference were measured before catheterization and body mass index, waist-to-hip ratio, abdominal diameter index, index of central obesity as well as our proposed index, SAD-to-TSF ratio, were calculated accordingly. Evaluation of severity and extension of coronary stenosis was by Gensini score and extent score, respectively.
After adjustment for age and sex in multivariate regression models, the SAD-to-TSF ratio was the best predictor for the presence (OR = 2.49, 95% CI = 1.44-4.30; p = 0.001) and extension (β = 1.10, p = 0.004) of premature CAD. TSF and the SAD-to-TSF ratio were the only indices that significantly predicted the Gensini score and the correlation remained significant even after adjustment for age and sex (β = -7.28, p < 0.0001 and β = 3.76, p < 0.0001, respectively).
We showed that our proposed index, SAD-to-TSF ratio, has a substantially better accuracy than do the known indices of obesity like body mass index, waist circumference, and waist-to-hip ratio for the prediction of premature CAD. Furthermore, our index was the only index that positively correlated with the severity of premature CAD.
我们旨在比较由我们定义的新指数(即矢状位腹部直径(SAD)与三头肌皮褶厚度(TSF)的比值)与其他肥胖指数在预测早发冠心病(CAD)的存在、严重程度和程度方面的准确性。
对 238 名接受冠状动脉造影的年轻患者(女性<55 岁;男性<45 岁)进行了横断面研究。在导管插入术之前测量了包括 TSF、SAD、腰围和臀围在内的人体测量学指数,并相应计算了体重指数、腰臀比、腹径指数、中心性肥胖指数以及我们提出的 SAD-TSF 比值指数。通过 Gensini 评分和程度评分分别评估冠状动脉狭窄的严重程度和程度。
在多变量回归模型中,校正年龄和性别后,SAD-TSF 比值是早发 CAD 存在(OR=2.49,95%CI=1.44-4.30;p=0.001)和程度(β=1.10,p=0.004)的最佳预测指标。TSF 和 SAD-TSF 比值是唯一显著预测 Gensini 评分的指数,即使在调整年龄和性别后,相关性仍然显著(β=-7.28,p<0.0001 和 β=3.76,p<0.0001)。
我们表明,与 BMI、腰围和腰臀比等已知肥胖指数相比,我们提出的 SAD-TSF 比值指数在预测早发 CAD 方面具有更高的准确性。此外,我们的指数是唯一与早发 CAD 严重程度呈正相关的指数。