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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 |
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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 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 < 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. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-6fbd7065062aa9028d2b0f9575953ac601dd91e4233c07af6250597c8e5cd61c3</citedby><cites>FETCH-LOGICAL-c356t-6fbd7065062aa9028d2b0f9575953ac601dd91e4233c07af6250597c8e5cd61c3</cites><orcidid>0000-0003-3093-937X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31400997$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bello-Chavolla, Omar Yaxmehen</creatorcontrib><creatorcontrib>Antonio-Villa, Neftali Eduardo</creatorcontrib><creatorcontrib>Vargas-Vázquez, Arsenio</creatorcontrib><creatorcontrib>Viveros-Ruiz, Tannia Leticia</creatorcontrib><creatorcontrib>Almeda-Valdes, Paloma</creatorcontrib><creatorcontrib>Gomez-Velasco, Donaji</creatorcontrib><creatorcontrib>Mehta, Roopa</creatorcontrib><creatorcontrib>Elias-López, Daniel</creatorcontrib><creatorcontrib>Cruz-Bautista, Ivette</creatorcontrib><creatorcontrib>Roldán-Valadez, Ernesto</creatorcontrib><creatorcontrib>Martagón, Alexandro J.</creatorcontrib><creatorcontrib>Aguilar-Salinas, Carlos A.</creatorcontrib><title>Metabolic Score for Visceral Fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health</title><title>Clinical nutrition (Edinburgh, Scotland)</title><addtitle>Clin Nutr</addtitle><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 < 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><subject>Cardiometabolic risk</subject><subject>DXA</subject><subject>Intra-abdominal fat</subject><subject>METS-VF</subject><subject>MRI</subject><subject>Visceral adiposity</subject><issn>0261-5614</issn><issn>1532-1983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kEFvFCEYhonR2LX6BzwYjjVxxg9YYEi8NE1XTdp4aO2VMMCkbGagAtvov5fJ1h7lwuV5X3gfhN4T6AkQ8Xnf2zkeegpE9SB7IPQF2hDOaEfUwF6iDVBBOi7I9gS9KWUPAJzJ4TU6YWQLoJTcoN_XvpoxzcHiG5uyx1PK-C4U67OZ8c5UfHZ9eXvT3e0-fsIGx_ToZ-xLDYupjUwTDrFm05nRpSXElplaxqZYfazYRIetyS6kbnl-596bud6_Ra8mMxf_7uk-RT93l7cX37qrH1-_X5xfdZZxUTsxjU6C4CCoMQro4OgIk-KSK86MFUCcU8RvKWMWpJkE5cCVtIPn1gli2Sk6O_Y-5PTr0H6ul3XdPJvo06FoSiVdDxkaSo-ozamU7Cf9kNvO_EcT0Ktxvdercb0a1yB1M95CH576D-Pi3XPkn-IGfDkCvq18DD7rYoOP1ruQva3apfC__r-ocpEx</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Bello-Chavolla, Omar Yaxmehen</creator><creator>Antonio-Villa, Neftali Eduardo</creator><creator>Vargas-Vázquez, Arsenio</creator><creator>Viveros-Ruiz, Tannia Leticia</creator><creator>Almeda-Valdes, Paloma</creator><creator>Gomez-Velasco, Donaji</creator><creator>Mehta, Roopa</creator><creator>Elias-López, Daniel</creator><creator>Cruz-Bautista, Ivette</creator><creator>Roldán-Valadez, Ernesto</creator><creator>Martagón, Alexandro J.</creator><creator>Aguilar-Salinas, Carlos A.</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3093-937X</orcidid></search><sort><creationdate>202005</creationdate><title>Metabolic Score for Visceral Fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-6fbd7065062aa9028d2b0f9575953ac601dd91e4233c07af6250597c8e5cd61c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cardiometabolic risk</topic><topic>DXA</topic><topic>Intra-abdominal fat</topic><topic>METS-VF</topic><topic>MRI</topic><topic>Visceral adiposity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bello-Chavolla, Omar Yaxmehen</creatorcontrib><creatorcontrib>Antonio-Villa, Neftali Eduardo</creatorcontrib><creatorcontrib>Vargas-Vázquez, Arsenio</creatorcontrib><creatorcontrib>Viveros-Ruiz, Tannia Leticia</creatorcontrib><creatorcontrib>Almeda-Valdes, Paloma</creatorcontrib><creatorcontrib>Gomez-Velasco, Donaji</creatorcontrib><creatorcontrib>Mehta, Roopa</creatorcontrib><creatorcontrib>Elias-López, Daniel</creatorcontrib><creatorcontrib>Cruz-Bautista, Ivette</creatorcontrib><creatorcontrib>Roldán-Valadez, Ernesto</creatorcontrib><creatorcontrib>Martagón, Alexandro J.</creatorcontrib><creatorcontrib>Aguilar-Salinas, Carlos A.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical nutrition (Edinburgh, Scotland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bello-Chavolla, Omar Yaxmehen</au><au>Antonio-Villa, Neftali Eduardo</au><au>Vargas-Vázquez, Arsenio</au><au>Viveros-Ruiz, Tannia Leticia</au><au>Almeda-Valdes, Paloma</au><au>Gomez-Velasco, Donaji</au><au>Mehta, Roopa</au><au>Elias-López, Daniel</au><au>Cruz-Bautista, Ivette</au><au>Roldán-Valadez, Ernesto</au><au>Martagón, Alexandro J.</au><au>Aguilar-Salinas, Carlos A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic Score for Visceral Fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health</atitle><jtitle>Clinical nutrition (Edinburgh, Scotland)</jtitle><addtitle>Clin Nutr</addtitle><date>2020-05</date><risdate>2020</risdate><volume>39</volume><issue>5</issue><spage>1613</spage><epage>1621</epage><pages>1613-1621</pages><issn>0261-5614</issn><eissn>1532-1983</eissn><abstract>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 < 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.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31400997</pmid><doi>10.1016/j.clnu.2019.07.012</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3093-937X</orcidid></addata></record> |
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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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