Kapoor Nitin, Jiwanmall Stephen A, Nandyal Munaf B, Kattula Dheeraj, Paravathareddy Sandhiya, Paul Thomas V, Furler John, Oldenburg Brian, Thomas Nihal
Department of Endocrinology, Diabetes and Metabolism Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Non-Communicable Disease Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Diabetes Metab Syndr Obes. 2020 Sep 16;13:3261-3267. doi: 10.2147/DMSO.S266277. eCollection 2020.
Visceral adipose tissue (VAT) assessment is limited in clinical practice due to expensive, time consuming and limited availability of MRI and DXA machines. We explored the utility of a recently developed Metabolic Score for Visceral Fat (METS-VF) to assess VAT in south Asian individuals with morbid obesity.
Individuals with BMI ≥35 kg/m aged between 30 and 60 years were randomly selected from a database of individuals with morbid obesity, attending a multi-disciplinary bariatric clinic in a tertiary care teaching hospital in southern India. Body composition was assessed by using a Hologic Discovery A dual-energy X-ray absorptiometry (DXA) machine. METS-VF was used to estimate VAT by using a previously published algorithm.
The mean age and body mass index of the study subjects (N=350) were 38.2 years and 40.1 kg/m. The MET-VF score performed satisfactorily (AUC of 0.78 (95% CI 0.72-0.85)) for predicting an increased visceral adipose tissue (VAT area ≥ 163 cm) as detected by DXA. A METS-VF value of 7.3 was found to have a good sensitivity and reasonable specificity in predicting elevated VAT in this population.
This is the first study to validate the utility of METS-VF as a surrogate measure of visceral adiposity in south Indian individuals with morbid obesity. Given the simplicity, easy availability, reliability and inexpensive nature of this obesity indicator, it may find its widespread use in lower middle-income countries.
由于磁共振成像(MRI)和双能X线吸收法(DXA)设备昂贵、耗时且可用性有限,内脏脂肪组织(VAT)评估在临床实践中受到限制。我们探讨了最近开发的内脏脂肪代谢评分(METS-VF)在评估南亚病态肥胖个体VAT中的效用。
从印度南部一家三级护理教学医院的多学科减肥诊所的病态肥胖个体数据库中,随机选取年龄在30至60岁之间、体重指数(BMI)≥35 kg/m²的个体。使用Hologic Discovery A双能X线吸收法(DXA)机器评估身体成分。采用先前发表的算法,用METS-VF估计VAT。
研究对象(N = 350)的平均年龄和体重指数分别为38.2岁和40.1 kg/m²。METS-VF评分在预测DXA检测到的内脏脂肪组织增加(VAT面积≥163 cm²)方面表现令人满意(曲线下面积为0.78(95%置信区间0.72 - 0.85))。发现METS-VF值为7.3在预测该人群VAT升高方面具有良好的敏感性和合理的特异性。
这是第一项验证METS-VF作为印度南部病态肥胖个体内脏肥胖替代指标效用的研究。鉴于该肥胖指标简单、易于获取、可靠且成本低廉,它可能在中低收入国家得到广泛应用。