Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan.
Cardiovasc Diabetol. 2018 Apr 10;17(1):55. doi: 10.1186/s12933-018-0700-5.
Sarcopenic obesity, defined as reduced skeletal muscle mass and power with increased adiposity, was reported to be associated with cardiovascular disease risks in previous cross-sectional studies. Whole body dual-energy X-ray absorptiometry (DXA) can simultaneously evaluate both fat and muscle mass, therefore, whole body DXA may be suitable for the diagnosis of sarcopenic obesity. However, little is known regarding whether sarcopenic obesity determined using whole body DXA could predict incident cardiovascular disease (CVD). The aim of this study was to investigate the impact of sarcopenic obesity on incident CVD in patients with type 2 diabetes.
A total of 716 Japanese patients (mean age 65 ± 13 years; 47.0% female) were enrolled. Android fat mass (kg), gynoid fat mass (kg), and skeletal muscle index (SMI) calculated as appendicular non-fat mass (kg) divided by height squared (m), were measured using whole body DXA. Sarcopenic obesity was defined as the coexistence of low SMI and obesity determined by four patterns of obesity as follows: android to gynoid ratio (A/G ratio), android fat mass or percentage of body fat (%BF) was higher than the sex-specific median, or body mass index (BMI) was equal to or greater than 25 kg/m. The study endpoint was the first occurrence or recurrence of CVD.
Over a median follow up of 2.6 years (IQR 2.1-3.2 years), 53 patients reached the endpoint. Sarcopenic obesity was significantly associated with incident CVD even after adjustment for the confounding variables, when using A/G ratio [hazard ratio (HR) 2.63, 95% CI 1.10-6.28, p = 0.030] and android fat mass (HR 2.57, 95% CI 1.01-6.54, p = 0.048) to define obesity, but not %BF (HR 1.67, 95% CI 0.69-4.02, p = 0.252), and BMI (HR 1.55, 95% CI 0.44-5.49, p = 0.496).
The present data suggest that the whole body DXA is valuable in the diagnosis of sarcopenic obesity (high A/G ratio or android fat mass with low SMI) to determine the risk of CVD events in patients with type 2 diabetes. Meanwhile, sarcopenic obesity classified with low SMI, and high %BF or BMI was not associated with incident CVD.
以前的横断面研究表明,与肥胖相关的骨骼肌减少和力量下降定义为肌肉减少性肥胖,与心血管疾病风险相关。全身双能 X 射线吸收法(DXA)可同时评估脂肪量和肌肉量,因此,全身 DXA 可能适合诊断肌肉减少性肥胖。然而,关于使用全身 DXA 确定的肌肉减少性肥胖是否可以预测心血管疾病(CVD)事件的发生,目前知之甚少。本研究旨在探讨 2 型糖尿病患者中肌肉减少性肥胖对 CVD 事件的影响。
共纳入 716 名日本患者(平均年龄 65±13 岁;47.0%为女性)。使用全身 DXA 测量安卓脂肪量(kg)、女性脂肪量(kg)和骨骼肌指数(SMI),即四肢非脂肪量(kg)除以身高平方(m)。通过以下 4 种肥胖模式定义肌肉减少性肥胖:安卓到女性比(A/G 比)、安卓脂肪量或体脂肪百分比(%BF)高于性别特异性中位数,或体重指数(BMI)等于或大于 25kg/m。研究终点为 CVD 的首次发生或复发。
中位随访 2.6 年(IQR 2.1-3.2 年)后,53 名患者达到终点。即使在校正混杂变量后,使用 A/G 比[风险比(HR)2.63,95%置信区间(CI)1.10-6.28,p=0.030]和安卓脂肪量(HR 2.57,95%CI 1.01-6.54,p=0.048)定义肥胖时,肌肉减少性肥胖与 CVD 事件的发生显著相关,但与%BF(HR 1.67,95%CI 0.69-4.02,p=0.252)和 BMI(HR 1.55,95%CI 0.44-5.49,p=0.496)无关。
本研究数据表明,全身 DXA 对于诊断肌肉减少性肥胖(高 A/G 比或安卓脂肪量与低 SMI)有价值,可以确定 2 型糖尿病患者发生 CVD 事件的风险。同时,以低 SMI、高%BF 或 BMI 分类的肌肉减少性肥胖与 CVD 事件的发生无关。