Metabolic Score for Visceral Fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health

医学 内科学 腹部脂肪 腹内脂肪 估计员 肥胖 心脏病学 内脏脂肪 胰岛素抵抗 统计 数学
作者
Omar Yaxmehen Bello‐Chavolla,Neftali Eduardo Antonio‐Villa,Arsenio Vargas‐Vázquez,Tannia Leticia Viveros-Ruiz,Paloma Almeda‐Valdés,Donají Gómez‐Velasco,Roopa Mehta,Daniel Elías-López,Ivette Cruz‐Bautista,Ernesto Roldán-Valadéz,Alexandro J. Martagón,Carlos A. Aguilar‐Salinas
出处
期刊:Clinical Nutrition [Elsevier]
卷期号:39 (5): 1613-1621 被引量:133
标识
DOI:10.1016/j.clnu.2019.07.012
摘要

Summary

Background & aims

Intra-abdominal and visceral fat (VAT) are risk factors for the development of cardio-metabolic comorbidities; however its clinical assessment is limited by technology and required expertise for its assessment. We aimed to develop a novel score (METS-VF) to estimate VAT by combining the non-insulin-based METS-IR index, waist-height ratio (WHtr), age and sex.

Methods

We developed METS-VF in a sample of 366 individuals with Dual X-ray absorptiometry (DXA). METS-VF was modeled using non-linear regression and validated in two replication cohorts with DXA (n = 184, with n = 118 who also had MRI) and bio-electrical impedance (n = 991). We also assessed METS-VF to predict incident type 2 diabetes (T2D) and arterial hypertension independent of body-mass index (BMI) in our Metabolic Syndrome Cohort (n = 6144).

Results

We defined METS-VF as: 4.466 + 0.011*(Ln(METS-IR))3 + 3.239*(Ln(WHtr))3 + 0.319*(Sex) + 0.594*(Ln(Age)). METS-VF showed better performance compared to other VAT surrogates using either DXA (AUC 0.896 95% CI 0.847–0.945) or MRI (AUC 0.842 95% CI 0.771–0.913) as gold standards. We identified a METS-VF cut-off point >7.18 in healthy patients which has 100% sensitivity (95% CI 76.8–100) and 87.2% specificity (95% CI 79.1–93.0) to identify increased VAT (>100 cm2). METS-VF also had adequate performance in subjects with metabolically-healthy obesity. Finally, in our metabolic syndrome cohort, subjects in the upper quintiles of METS-VF (>7.2) had 3.8 and 2.0-fold higher risk of incident T2D and hypertension, respectively (p < 0.001). This effect was independent of BMI for both outcomes.

Conclusion

METS-VF is a novel surrogate to estimate VAT, which has better performance compared to other surrogate VAT indexes and is predictive of incident T2D and hypertension. METS-VF could be a useful tool to assess cardio-metabolic risk in primary care practice and research settings.
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