Tafeit Erwin, Horejsi Renate, Pieber Thomas Rudolf, Roller Regina Elisabeth, Schnedl Wolfgang Johann, Wallner Sandra Johanna, Jurimae Toivo, Möller Reinhard
Institute of Physiological Chemistry, Center of Physiological Medicine, Medical University Graz, Graz, Austria.
Coll Antropol. 2008 Jun;32(2):607-14.
The optical device LIPOMETER enables the non-invasive, quick, and save determination of the thickness of subcutaneous adipose tissue layers at any given site of the human body. The specification of 15 evenly distributed body sites allows the precise measurement of subcutaneous body fat distribution, so-called subcutaneous adipose tissue topography (SAT-Top). In the present paper we focus on SAT-Top of male type-2 diabetes patients (N=21), describing very precisely their special SAT development and their SAT-Top deviation from a healthy control group (N=111), applying factor analysis and ROC curves. Factor analysis revealed three independent subcutaneous body fat compartments, which can be summarised as "upper body", "lower trunks" and "legs". The upper body SAT-Top is much more pronounced in diabetic men compared to their healthy controls (p<0.001). Furthermore, high diagnostic power by ROC curve analysis was achieved by different measurement sites of the upper body and summary measures of upper body obesity (sum2, which is the sum of neck and biceps, provides: area index =0.86, sensitivity =81%, specificity =90.1%, at an optimal cutoff value of 18.8 mm), ascribing a higher diabetes probability to subjects with a more upper body SAT-Top pattern. Calculating new ROC curves for diabetic patients with HBA1C values >8 (N=17) and their healthy controls (N=111) we received improved discrimination power for several SAT-Top body sites, especially for sum2, showing an area index of 0.91, a sensitivity of 94.1%, and a specificity of 90.1% at the optimal cutoff value of 18.8 mm. Concluding, the exact and complete description of the especial type 2 diabetic SAT pattern, which differs strongly from the SAT-Top of healthy controls, suggests the LIPOMETER technique combined with advanced statistical methods such as factor analysis and ROC curve analysis as a possible detecting tool for this disease.
光学设备LIPOMETER能够在人体任何给定部位对皮下脂肪组织层厚度进行无创、快速且安全的测定。15个均匀分布的身体部位的设定使得能够精确测量皮下身体脂肪分布,即所谓的皮下脂肪组织地形图(SAT-Top)。在本文中,我们聚焦于男性2型糖尿病患者(N = 21)的SAT-Top,运用因子分析和ROC曲线非常精确地描述了他们特殊的SAT发展情况以及他们的SAT-Top与健康对照组(N = 111)的偏差。因子分析揭示了三个独立的皮下身体脂肪区,可以概括为“上身”“下躯干”和“腿部”。与健康对照组相比,糖尿病男性的上身SAT-Top更为明显(p<0.001)。此外,通过上身不同测量部位以及上身肥胖汇总指标(sum2,即颈部和二头肌之和,提供:面积指数 = 0.86,灵敏度 = 81%,特异性 = 90.1%,最佳截断值为18.8毫米)进行ROC曲线分析,获得了较高的诊断能力,上身SAT-Top模式更明显的受试者患糖尿病的概率更高。对糖化血红蛋白值>8的糖尿病患者(N = 17)及其健康对照组(N = 111)计算新的ROC曲线,我们发现几个SAT-Top身体部位的辨别能力有所提高,尤其是sum2,在最佳截断值为18.8毫米时,面积指数为0.91,灵敏度为94.1%,特异性为90.1%。总之,对2型糖尿病特殊SAT模式的准确完整描述与健康对照组的SAT-Top有很大不同,这表明LIPOMETER技术结合因子分析和ROC曲线分析等先进统计方法可能是检测该疾病的一种工具。