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

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-...

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Published in:Clinical nutrition (Edinburgh, Scotland) Scotland), 2020-05, Vol.39 (5), p.1613-1621
Main Authors: Bello-Chavolla, Omar Yaxmehen, Antonio-Villa, Neftali Eduardo, Vargas-Vázquez, Arsenio, Viveros-Ruiz, Tannia Leticia, Almeda-Valdes, Paloma, Gomez-Velasco, Donaji, Mehta, Roopa, Elias-López, Daniel, Cruz-Bautista, Ivette, Roldán-Valadez, Ernesto, Martagón, Alexandro J., Aguilar-Salinas, Carlos A.
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container_title Clinical nutrition (Edinburgh, Scotland)
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creator Bello-Chavolla, Omar Yaxmehen
Antonio-Villa, Neftali Eduardo
Vargas-Vázquez, Arsenio
Viveros-Ruiz, Tannia Leticia
Almeda-Valdes, Paloma
Gomez-Velasco, Donaji
Mehta, Roopa
Elias-López, Daniel
Cruz-Bautista, Ivette
Roldán-Valadez, Ernesto
Martagón, Alexandro J.
Aguilar-Salinas, Carlos A.
description 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. 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). 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 
doi_str_mv 10.1016/j.clnu.2019.07.012
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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. 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). 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 &gt;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 (&gt;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 (&gt;7.2) had 3.8 and 2.0-fold higher risk of incident T2D and hypertension, respectively (p &lt; 0.001). This effect was independent of BMI for both outcomes. 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. •We developed a novel estimator of visceral and intra-abdominal fat.•METS-VF was validated against DXA, MRI and BIA and outperforms competing models.•Adverse adipokine profiles correlate with higher METS-VF values.•METS-VF predicts incident type 2 diabetes and hypertension independent of BMI.•METS-VF is a novel estimator of cardio-metabolic health.</description><identifier>ISSN: 0261-5614</identifier><identifier>EISSN: 1532-1983</identifier><identifier>DOI: 10.1016/j.clnu.2019.07.012</identifier><identifier>PMID: 31400997</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Cardiometabolic risk ; DXA ; Intra-abdominal fat ; METS-VF ; MRI ; Visceral adiposity</subject><ispartof>Clinical nutrition (Edinburgh, Scotland), 2020-05, Vol.39 (5), p.1613-1621</ispartof><rights>2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism</rights><rights>Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. 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however its clinical assessment is limited by technology and required expertise for its assessment. 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subjects Cardiometabolic risk
DXA
Intra-abdominal fat
METS-VF
MRI
Visceral adiposity
title Metabolic Score for Visceral Fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health
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