相对脂肪量是一种测量肥胖的新工具,可以预测2型糖尿病的并发症

Isabelle Jambart
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摘要

目的/背景:肥胖是一种慢性疾病,会导致许多代谢性疾病,尤其是2型糖尿病。相对脂肪量(RFM)是最近引入的一种针对肥胖的工具,它比身体质量指数(BMI)更能预测内脏脂肪的水平。本研究的目的是确定RFM是否比BMI更能预测心脏代谢危险因素和2型糖尿病并发症。材料与方法:这是一项横断面研究。从贝鲁特一家初级保健诊所和一家三级医院治疗2型糖尿病患者的内分泌学家那里收集了一份信息清单。该列表使我们能够评估2型糖尿病患者的微血管和大血管并发症,评估其危险因素,并计算其RFM和BMI。结果:我们分析了359例患者的资料。较高的RFM与较高的收缩压相关(p < 0.05), RFM和BMI与较高的CRP、甘油三酯水平和肝酶水平显著相关。然而,与RFM相比,BMI与其他心脏代谢危险因素如总胆固醇(p = 0.003)、低密度脂蛋白胆固醇(p = 0.002)和HbA1c (p = 0.01)的相关性更好。RFM和BMI均与较高的微量白蛋白尿相关(p < 0.001),但与BMI不同的是,较高的RFM与较高的肌酐水平相关(p分别为0.317和0.047),因此与BMI相比,RFM与糖尿病肾病的关系更好。更重要的是,我们观察到一个前所未有的结果,将RFM与糖尿病神经病变联系起来:正常的RFM排除糖尿病神经病变的概率高达82.5%。此外,男性的RFM临界值为30.76,女性为43.31,这表明糖尿病神经病变的风险增加了2.464。RFM与糖尿病视网膜病变之间无关联。结论:除视网膜病变外,RFM比BMI更能预测糖尿病微血管并发症。它还与更严重的代谢综合征有关。这项研究的独特之处在于它发现了RFM作为一种可以排除糖尿病患者神经病变的工具的潜在作用。
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Relative Fat Mass, a new tool for measuring obesity, could predict the complications of type 2 diabetes
Aim/background: Obesity is a chronic disease contributing to many metabolic illnesses, in particular type 2 diabetes. The Relative Fat Mass (RFM) is a tool recently introduced for obesity which better predicts the level of visceral fat than the Body Mass Index (BMI). The aim of this study is to determine whether RFM is a better predictor of the cardiometabolic risk factors and the complications of type 2 diabetes than BMI. Materials and methods: This is a cross sectional study. A list of information was collected from endocrinologists treating type 2 diabetic patients in a primary healthcare clinic and a tertiary hospital in Beirut. This list allowed us to evaluate the micro and macro vascular complications of type 2 diabetic patients, to assess their risk factors and to calculate their RFM and BMI. Results: We analyzed the data of 359 patients. Higher RFM was associated with higher systolic blood pressure (p < 0.05), and both RFM and BMI were significantly correlated to higher CRP, triglyceride levels and liver enzymes. However, the BMI was better associated with other cardiometabolic risk factors such as the total cholesterol (p = 0,003), LDL cholesterol (p = 0,002) and HbA1c (p = 0,01) than RFM. Both RFM and BMI were correlated with higher microalbuminuria (p < 0.001) but unlike BMI, higher RFM was associated with higher creatinine level (p = 0.317 versus 0.047 respectively) and therefore better linked to diabetic nephropathy than BMI. More importantly, we observed an unprecedented result, associating RFM to diabetic neuropathy: a normal RFM excludes diabetic neuropathy with a high probability of 82.5%. Furthermore, a RFM cutoff value of 30.76 in men and 43.31 in women showed an increased risk of developing diabetic neuropathy by 2.464. No association was observed between RFM and diabetic retinopathy. Conclusion: The RFM better predicts microvascular complications of diabetes than BMI except for retinopathy. It is also associated with a worse profile of metabolic syndrome. This study is unique in its discovery of the potential role of RFM as a tool which could rule out neuropathy in diabetic patients.
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