Baghbani-Oskouei Aidin, Gholampourdehaki Mehrzad
Department of Internal Medicine, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Caspian J Intern Med. 2020;11(2):183-190. doi: 10.22088/cjim.11.2.183.
Nowadays, obesity and overweight are projected to become main risk factors for coronary artery disease (CAD). We aimed to determine the association of anthropometric measures with presence of significant (sig.) CAD as evaluated by coronary angiography, among an adult Iranian population.
The present study included 441 patients (men=275) aged > 30 years with suspected CAD, who had undergone coronary angiography between January 2019 and November 2019. All demographic data and patients' medical history as well as clinical examinations were recorded by a trained physician. Coronary angiography was performed using standard techniques to determine the presence of sig. coronary artery lesions. Logistic regression analyses were conducted to assess the odds ratio (OR) of each anthropometric measure for the presence of sig. CAD.
The mean age of participants was 51.2±8.7 years and sig. CAD was detected in 185 patients. Univariate analyses showed that body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR) were significantly associated with increased risk of CAD. On multivariable logistic regression model, BMI and WHR correlated independently with increased risk of CAD; while higher WC and wrist circumference (WrC) could not predict the CAD risk. The corresponding ORs (95% confidence interval) were 1.36 (1.04-1.74), 1.17 (0.95-1.63), 1.29 (1.12-1.41), and 1.24 (0.76-1.92) for BMI, WC, WHR, and WrC, respectively. Considering the receiver operating characteristic analysis, no superiority was observed for each of the measures for discriminating sig. CAD from non-sig. CAD status.
BMI and WHR are independently associated with the presence of CAD among Iranian population. These results emphasize the value of anthropometric assessment among those with suspected CAD.
如今，肥胖和超重预计将成为冠状动脉疾病（CAD）的主要风险因素。我们旨在确定在成年伊朗人群中，人体测量指标与冠状动脉造影评估的显著（sig.）CAD存在之间的关联。
本研究纳入了441例年龄大于30岁、疑似CAD且在2019年1月至2019年11月期间接受冠状动脉造影的患者（男性275例）。所有人口统计学数据、患者病史以及临床检查均由一名经过培训的医生记录。采用标准技术进行冠状动脉造影以确定是否存在显著的冠状动脉病变。进行逻辑回归分析以评估每种人体测量指标出现显著CAD的比值比（OR）。
参与者的平均年龄为51.2±8.7岁，185例患者检测出显著CAD。单因素分析显示，体重指数（BMI）、腰围（WC）和腰臀比（WHR）与CAD风险增加显著相关。在多变量逻辑回归模型中，BMI和WHR与CAD风险增加独立相关；而较高的WC和腕围（WrC）无法预测CAD风险。BMI、WC、WHR和WrC的相应OR（95%置信区间）分别为1.36（1.04 - 1.74）、1.17（0.95 - 1.63）、1.29（1.12 - 1.41）和1.24（0.76 - 1.92）。考虑到受试者工作特征分析，在区分显著CAD与非显著CAD状态方面，各指标均未显示出优势。
在伊朗人群中，BMI和WHR与CAD的存在独立相关。这些结果强调了在疑似CAD患者中进行人体测量评估的价值。
