Bellan M, Menegatti M, Ferrari C, Carnevale Schianca G P, Pirisi M
Department of Translational Medicine, Università del Piemonte Orientale UPO, Novara, Italy; Division of Internal Medicine, "Sant'Andrea Hospital", Vercelli, Italy.
Department of Translational Medicine, Università del Piemonte Orientale UPO, Novara, Italy; Emergency Medicine Department, "AOU Maggiore della Carità", Novara, Italy.
Nutr Metab Cardiovasc Dis. 2018 Jun;28(6):610-617. doi: 10.1016/j.numecd.2018.01.006. Epub 2018 Feb 2.
Despite the lack of evidence that assessing the global cardiovascular risk leads to a decreased incidence of cardiovascular events, accurate patient profiling is paramount in preventive medicine. An excess of visceral fat (VF) is associated with an enhanced cardiovascular risk; importantly, VF is quantifiable rapidly, cheaply and safely by ultrasound, which makes it suitable for use in clinical practice. In the present study, we aimed to evaluate if US-measured VF (USVF) could be a better predictor of glucose homeostasis and cardiovascular risk than simple anthropometric measures.
One-hundred sixty-two patients attending a Metabolic Disorders Clinic underwent a cross-sectional study for which USVF, anthropometric measures, a standard oral glucose tolerance test (OGTT), and calculation of cardiovascular Framingham score and vascular age were obtained. USVF was directly correlated with fasting and 2-h plasma glucose (respectively: r = 0.26, p < 0.001; r = 0.28, p < 0.0001), fasting and 2-h plasma insulin (for both: r = 0.41, p < 0.0001), homeostatic model assessment of insulin resistance (HOMA-IR; r = 0.42, p < 0.0001), cardiovascular Framingham score (r = 0.44 p < 0.0001) and vascular age (r = 0.30 p < 0.001). In receiver operator characteristic curves USVF had good diagnostic abilities for type 2 diabetes mellitus, fatty liver and metabolic syndrome, in both genders. At multivariate analysis, body mass index (BMI) outperformed USVF in the prediction of HOMA-IR; neverthless, USVF, not BMI, was an independent predictor of cardiovascular risk. Finally, models including USVF were the most parssimonious to predict Framingham score, vascular age and HOMA-IR.
In overweight and obese subjects, USVF could usefully complement other parameters for cardiovascular risk stratification.
尽管缺乏证据表明评估全球心血管风险会降低心血管事件的发生率,但准确的患者特征分析在预防医学中至关重要。内脏脂肪(VF)过多与心血管风险增加相关;重要的是,通过超声可以快速、廉价且安全地对VF进行量化,这使其适用于临床实践。在本研究中,我们旨在评估超声测量的VF(USVF)是否比简单的人体测量指标更能预测葡萄糖稳态和心血管风险。
162名代谢紊乱门诊患者进行了一项横断面研究,获取了USVF、人体测量指标、标准口服葡萄糖耐量试验(OGTT)以及心血管Framingham评分和血管年龄的计算结果。USVF与空腹及2小时血浆葡萄糖直接相关(分别为:r = 0.26,p < 0.001;r = 0.28,p < 0.0001),与空腹及2小时血浆胰岛素也直接相关(两者均为:r = 0.41,p < 0.0001),与胰岛素抵抗的稳态模型评估(HOMA-IR;r = 0.42,p < 0.0001)、心血管Framingham评分(r = 0.44,p < 0.0001)和血管年龄(r = 0.30,p < 0.001)直接相关。在受试者工作特征曲线中,USVF对2型糖尿病、脂肪肝和代谢综合征在两性中均具有良好的诊断能力。在多变量分析中,体重指数(BMI)在预测HOMA-IR方面优于USVF;然而,USVF而非BMI是心血管风险的独立预测因子。最后,包含USVF的模型在预测Framingham评分、血管年龄和HOMA-IR方面最为简约。
在超重和肥胖受试者中,USVF可有效地补充其他参数用于心血管风险分层。