Kavaric Nebojsa, Klisic Aleksandra, Ninic Ana
Primary Health Care Center, Podgorica, Montenegro.
Department of Medical Biochemistry, University of Belgrade- Faculty of Pharmacy, Belgrade, Serbia.
J Clin Lab Anal. 2018 Mar;32(3). doi: 10.1002/jcla.22283. Epub 2017 Jun 20.
Visceral adiposity index (VAI) and Lipid accumulation product (LAP) are novel visceral adiposity indexes, proposed for the evaluation of cardiometabolic risk in adult population. Considering contradictory results obtained from many studies so far, we aimed to examine the potential benefit of applicability of VAI and LAP, over simple anthropometric indices and traditional lipid parameters in individuals with type 2 diabetes mellitus (DM2).
A total of 180 DM2 (of them 50% females) and 119 controls who volunteered to participate in this cross-sectional study were enrolled. Anthropometric and biochemical parameters, as well as blood pressure were obtained. VAI and LAP were calculated.
Multivariate logistic regression analysis showed that high-density lipoprotein cholesterol (HDL-c), (P<.001), waist circumference (WC), (P=.027), age (P=.001), hypolipemic therapy (P=.024), and LAP (P=.005) were independent predictors of DM2 in adjusted models. In Receiver Operating Characteristic curve analysis, used to discriminate subjects with DM2 from those who did not have it, good accuracy of the applied procedures was only achieved with models which were consisted of parameters used in VAI (Body mass index, WC, HDL-c, triglycerides) and LAP (WC, triglycerides) indexes equations, respectively [Area under the curve (AUC)=0.819 and AUC=0.800, respectively], but not with VAI (AUC=0.781) and LAP (AUC=0.784) indexes themselves.
Visceral adiposity index and Lipid accumulation product may not be better than parameters that enter its equation in type 2 diabetes prediction.
内脏脂肪指数（VAI）和脂质蓄积产物（LAP）是新的内脏脂肪指数，旨在评估成年人群的心脏代谢风险。鉴于目前许多研究得出的结果相互矛盾，我们旨在研究VAI和LAP在2型糖尿病（DM2）患者中相对于简单人体测量指标和传统脂质参数的潜在应用价值。
共有180例DM2患者（其中50%为女性）和119名自愿参与本横断面研究的对照者入组。获取人体测量和生化参数以及血压。计算VAI和LAP。
多因素逻辑回归分析显示，在调整模型中，高密度脂蛋白胆固醇（HDL-c）（P<0.001）、腰围（WC）（P=0.027）、年龄（P=0.001）、降脂治疗（P=0.024）和LAP（P=0.005）是DM2的独立预测因素。在用于区分DM2患者和非DM2患者的受试者工作特征曲线分析中，仅分别由VAI（体重指数、WC、HDL-c、甘油三酯）和LAP（WC、甘油三酯）指数方程中使用的参数组成的模型，才具有良好的应用准确性[曲线下面积（AUC）分别为0.819和0.800]，而VAI（AUC=0.781）和LAP（AUC=0.784）指数本身则不具备。
在内脏脂肪指数和脂质蓄积产物在2型糖尿病预测方面可能并不优于构成其方程的参数。
