Huang Ya-Chin, Huang Jiun-Chi, Lin Chia-I, Chien Hsu-Han, Lin Yu-Yin, Wang Chao-Ling, Liang Fu-Wen, Dai Chia-Yen, Chuang Hung-Yi
Department of Preventive Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan.
Department of Occupational & Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Diagnostics (Basel). 2021 Mar 28;11(4):603. doi: 10.3390/diagnostics11040603.
This study aimed to investigate the performance of innovative and traditional cardiometabolic indices, including body mass index (BMI), waist circumference (WC), Chinese visceral adiposity index (CVAI), visceral adiposity index, lipid accumulation product, a body shape index (ABSI), body roundness index, conicity index (CI), triglyceride-glucose (TyG) index, TyG-BMI, and TyG-WC, in estimating atherosclerotic cardiovascular disease (ASCVD) risk in 3143 Taiwanese adults aged 20-79 years. Elevated 10-year ASCVD risk was defined as ≥7.5% using the Pooled Cohort Equations. The performance of different indices in estimating elevated ASCVD risk was assessed by receiver operating characteristic (ROC) curves. In multivariate-adjusted logistic regression analyses, all cardiometabolic indices (-value < 0.001) were significantly associated with elevated ASCVD risk in both genders, except for ABSI and CI in women. In particular, CVAI had the largest area under the curve (AUC) in men (0.721) and women (0.883) in the ROC analyses. BMI had the lowest AUC in men (0.617), while ABSI had the lowest AUC in women (0.613). The optimal cut-off value for CVAI was 83.7 in men and 70.8 in women. CVAI performed best among various cardiometabolic indices in estimating elevated ASCVD risk. CVAI may be a reliable index for identifying people at increased risk of ASCVD.
本研究旨在调查创新型和传统型心脏代谢指标，包括体重指数（BMI）、腰围（WC）、中国内脏脂肪指数（CVAI）、内脏脂肪指数、脂质蓄积产物、体型指数（ABSI）、体圆度指数、锥度指数（CI）、甘油三酯-葡萄糖（TyG）指数、TyG-BMI和TyG-WC，在评估3143名年龄在20至79岁的台湾成年人动脉粥样硬化性心血管疾病（ASCVD）风险中的表现。使用合并队列方程将10年ASCVD风险升高定义为≥7.5%。通过受试者工作特征（ROC）曲线评估不同指标在估计ASCVD风险升高方面的表现。在多变量调整逻辑回归分析中，除女性的ABSI和CI外，所有心脏代谢指标（P值<0.001）在两性中均与ASCVD风险升高显著相关。特别是，在ROC分析中，CVAI在男性（0.721）和女性（0.883）中的曲线下面积（AUC）最大。BMI在男性中的AUC最低（0.617），而ABSI在女性中的AUC最低（0.613）。CVAI在男性中的最佳截断值为83.7，在女性中为70.8。在估计ASCVD风险升高方面，CVAI在各种心脏代谢指标中表现最佳。CVAI可能是识别ASCVD风险增加人群的可靠指标。
