Chest computed tomography-derived low fat-free mass index and mortality in COPD
Low fat-free mass index (FFMI) is an independent risk factor for mortality in chronic obstructive pulmonary disease (COPD) not typically measured during routine care. In the present study, we aimed to derive fat-free mass from the pectoralis muscle area (FFM ) and assess whether low FFMI is associat...
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Veröffentlicht in: | The European respiratory journal 2017-12, Vol.50 (6), p.1701134-1701134 |
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creator | McDonald, Merry-Lynn N Diaz, Alejandro A Rutten, Erica Lutz, Sharon M Harmouche, Rola San Jose Estepar, Raul Kinney, Greg Hokanson, John E Gower, Barbara A Wouters, Emiel F M Rennard, Stephen I Hersh, Craig P Casaburi, Richard Dransfield, Mark T Silverman, Edwin K Washko, George R |
description | Low fat-free mass index (FFMI) is an independent risk factor for mortality in chronic obstructive pulmonary disease (COPD) not typically measured during routine care. In the present study, we aimed to derive fat-free mass from the pectoralis muscle area (FFM
) and assess whether low FFMI
is associated with all-cause mortality in COPD cases. We used data from two independent COPD cohorts, ECLIPSE and COPDGene.Two equal sized groups of COPD cases (n=759) from the ECLIPSE study were used to derive and validate an equation to calculate the FFM
measured using bioelectrical impedance from PMA. We then applied the equation in COPD cases (n=3121) from the COPDGene cohort, and assessed survival. Low FFMI
was defined, using the Schols classification (FFMI |
doi_str_mv | 10.1183/13993003.01134-2017 |
format | Article |
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) and assess whether low FFMI
is associated with all-cause mortality in COPD cases. We used data from two independent COPD cohorts, ECLIPSE and COPDGene.Two equal sized groups of COPD cases (n=759) from the ECLIPSE study were used to derive and validate an equation to calculate the FFM
measured using bioelectrical impedance from PMA. We then applied the equation in COPD cases (n=3121) from the COPDGene cohort, and assessed survival. Low FFMI
was defined, using the Schols classification (FFMI <16 in men, FFMI <15 in women) and the fifth percentile normative values of FFMI from the UK Biobank.The final regression model included PMA, weight, sex and height, and had an adjusted R
of 0.92 with fat-free mass (FFM) as the outcome. In the test group, the correlation between FFM
and FFM remained high (Pearson correlation=0.97). In COPDGene, COPD cases with a low FFMI
had an increased risk of death (HR 1.6, p<0.001).We demonstrated COPD cases with a low FFMI
have an increased risk of death.</description><identifier>ISSN: 0903-1936</identifier><identifier>EISSN: 1399-3003</identifier><identifier>DOI: 10.1183/13993003.01134-2017</identifier><identifier>PMID: 29242259</identifier><language>eng</language><publisher>England: European Respiratory Society Journals Ltd</publisher><subject>Adipose Tissue - anatomy & histology ; Adipose Tissue - diagnostic imaging ; Aged ; Body Composition ; Body Mass Index ; Chronic obstructive pulmonary disease ; Cohort Studies ; Computed tomography ; Electric Impedance ; Fat-free body mass ; Female ; Humans ; Internationality ; Lung diseases ; Male ; Middle Aged ; Mortality ; Obstructive lung disease ; Pulmonary Disease, Chronic Obstructive - diagnostic imaging ; Pulmonary Disease, Chronic Obstructive - mortality ; Risk Factors ; Survival Analysis ; Tomography, X-Ray Computed</subject><ispartof>The European respiratory journal, 2017-12, Vol.50 (6), p.1701134-1701134</ispartof><rights>Copyright ©ERS 2017.</rights><rights>Copyright European Respiratory Society Journals Ltd. Dec 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-7922192dca2656e554738d3f42b7b9b128f65f053ead941e98d504f36063173d3</citedby><cites>FETCH-LOGICAL-c444t-7922192dca2656e554738d3f42b7b9b128f65f053ead941e98d504f36063173d3</cites><orcidid>0000-0002-5218-4986 ; 0000-0002-2647-9422 ; 0000-0002-1342-4334</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29242259$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McDonald, Merry-Lynn N</creatorcontrib><creatorcontrib>Diaz, Alejandro A</creatorcontrib><creatorcontrib>Rutten, Erica</creatorcontrib><creatorcontrib>Lutz, Sharon M</creatorcontrib><creatorcontrib>Harmouche, Rola</creatorcontrib><creatorcontrib>San Jose Estepar, Raul</creatorcontrib><creatorcontrib>Kinney, Greg</creatorcontrib><creatorcontrib>Hokanson, John E</creatorcontrib><creatorcontrib>Gower, Barbara A</creatorcontrib><creatorcontrib>Wouters, Emiel F M</creatorcontrib><creatorcontrib>Rennard, Stephen I</creatorcontrib><creatorcontrib>Hersh, Craig P</creatorcontrib><creatorcontrib>Casaburi, Richard</creatorcontrib><creatorcontrib>Dransfield, Mark T</creatorcontrib><creatorcontrib>Silverman, Edwin K</creatorcontrib><creatorcontrib>Washko, George R</creatorcontrib><title>Chest computed tomography-derived low fat-free mass index and mortality in COPD</title><title>The European respiratory journal</title><addtitle>Eur Respir J</addtitle><description>Low fat-free mass index (FFMI) is an independent risk factor for mortality in chronic obstructive pulmonary disease (COPD) not typically measured during routine care. In the present study, we aimed to derive fat-free mass from the pectoralis muscle area (FFM
) and assess whether low FFMI
is associated with all-cause mortality in COPD cases. We used data from two independent COPD cohorts, ECLIPSE and COPDGene.Two equal sized groups of COPD cases (n=759) from the ECLIPSE study were used to derive and validate an equation to calculate the FFM
measured using bioelectrical impedance from PMA. We then applied the equation in COPD cases (n=3121) from the COPDGene cohort, and assessed survival. Low FFMI
was defined, using the Schols classification (FFMI <16 in men, FFMI <15 in women) and the fifth percentile normative values of FFMI from the UK Biobank.The final regression model included PMA, weight, sex and height, and had an adjusted R
of 0.92 with fat-free mass (FFM) as the outcome. In the test group, the correlation between FFM
and FFM remained high (Pearson correlation=0.97). In COPDGene, COPD cases with a low FFMI
had an increased risk of death (HR 1.6, p<0.001).We demonstrated COPD cases with a low FFMI
have an increased risk of death.</description><subject>Adipose Tissue - anatomy & histology</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Aged</subject><subject>Body Composition</subject><subject>Body Mass Index</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Cohort Studies</subject><subject>Computed tomography</subject><subject>Electric Impedance</subject><subject>Fat-free body mass</subject><subject>Female</subject><subject>Humans</subject><subject>Internationality</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Obstructive lung disease</subject><subject>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</subject><subject>Pulmonary Disease, Chronic Obstructive - mortality</subject><subject>Risk Factors</subject><subject>Survival Analysis</subject><subject>Tomography, X-Ray Computed</subject><issn>0903-1936</issn><issn>1399-3003</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkN9KwzAUh4Mobk6fQJCCN950Jjlp0lzK_AuDKeh1SJvUdbTLTFp1b7Nn2ZPZuc0Lrw78-H6Hcz6EzgkeEpLCNQEpAWMYYkKAxRQTcYD6mzTexIeojyWGmEjgPXQSwgxjwhmQY9SjkjJKE9lHL6OpDU2Uu3rRNtZEjavdu9eL6TI21pefXVS5r_Wq0E1ceGujWocQlXNjvyM9N1HtfKOrsll22Xo1mjzfnqKjQlfBnu3mAL3d372OHuPx5OFpdDOOc8ZYEwtJKZHU5JryhNskYQJSAwWjmchkRmha8KTACVhtJCNWpibBrACOORABBgboart34d1H2z2h6jLktqr03Lo2KCKFECkkgnXo5T905lo_765TFGOedgiHjoItlXsXgreFWviy1n6pCFYb42pvXP0aVxvjXetit7vNamv-OnvF8AMjIHq3</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>McDonald, Merry-Lynn N</creator><creator>Diaz, Alejandro A</creator><creator>Rutten, Erica</creator><creator>Lutz, Sharon M</creator><creator>Harmouche, Rola</creator><creator>San Jose Estepar, Raul</creator><creator>Kinney, Greg</creator><creator>Hokanson, John E</creator><creator>Gower, Barbara A</creator><creator>Wouters, Emiel F M</creator><creator>Rennard, Stephen I</creator><creator>Hersh, Craig P</creator><creator>Casaburi, Richard</creator><creator>Dransfield, Mark T</creator><creator>Silverman, Edwin K</creator><creator>Washko, George R</creator><general>European Respiratory Society Journals Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5218-4986</orcidid><orcidid>https://orcid.org/0000-0002-2647-9422</orcidid><orcidid>https://orcid.org/0000-0002-1342-4334</orcidid></search><sort><creationdate>201712</creationdate><title>Chest computed tomography-derived low fat-free mass index and mortality in COPD</title><author>McDonald, Merry-Lynn N ; Diaz, Alejandro A ; Rutten, Erica ; Lutz, Sharon M ; Harmouche, Rola ; San Jose Estepar, Raul ; Kinney, Greg ; Hokanson, John E ; Gower, Barbara A ; Wouters, Emiel F M ; Rennard, Stephen I ; Hersh, Craig P ; Casaburi, Richard ; Dransfield, Mark T ; Silverman, Edwin K ; Washko, George R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-7922192dca2656e554738d3f42b7b9b128f65f053ead941e98d504f36063173d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adipose Tissue - anatomy & histology</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Aged</topic><topic>Body Composition</topic><topic>Body Mass Index</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Cohort Studies</topic><topic>Computed tomography</topic><topic>Electric Impedance</topic><topic>Fat-free body mass</topic><topic>Female</topic><topic>Humans</topic><topic>Internationality</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Obstructive lung disease</topic><topic>Pulmonary Disease, Chronic Obstructive - diagnostic imaging</topic><topic>Pulmonary Disease, Chronic Obstructive - mortality</topic><topic>Risk Factors</topic><topic>Survival Analysis</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDonald, Merry-Lynn N</creatorcontrib><creatorcontrib>Diaz, Alejandro A</creatorcontrib><creatorcontrib>Rutten, Erica</creatorcontrib><creatorcontrib>Lutz, Sharon M</creatorcontrib><creatorcontrib>Harmouche, Rola</creatorcontrib><creatorcontrib>San Jose Estepar, Raul</creatorcontrib><creatorcontrib>Kinney, Greg</creatorcontrib><creatorcontrib>Hokanson, John E</creatorcontrib><creatorcontrib>Gower, Barbara A</creatorcontrib><creatorcontrib>Wouters, Emiel F M</creatorcontrib><creatorcontrib>Rennard, Stephen I</creatorcontrib><creatorcontrib>Hersh, Craig P</creatorcontrib><creatorcontrib>Casaburi, Richard</creatorcontrib><creatorcontrib>Dransfield, Mark T</creatorcontrib><creatorcontrib>Silverman, Edwin K</creatorcontrib><creatorcontrib>Washko, George R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The European respiratory journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McDonald, Merry-Lynn N</au><au>Diaz, Alejandro A</au><au>Rutten, Erica</au><au>Lutz, Sharon M</au><au>Harmouche, Rola</au><au>San Jose Estepar, Raul</au><au>Kinney, Greg</au><au>Hokanson, John E</au><au>Gower, Barbara A</au><au>Wouters, Emiel F M</au><au>Rennard, Stephen I</au><au>Hersh, Craig P</au><au>Casaburi, Richard</au><au>Dransfield, Mark T</au><au>Silverman, Edwin K</au><au>Washko, George R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chest computed tomography-derived low fat-free mass index and mortality in COPD</atitle><jtitle>The European respiratory journal</jtitle><addtitle>Eur Respir J</addtitle><date>2017-12</date><risdate>2017</risdate><volume>50</volume><issue>6</issue><spage>1701134</spage><epage>1701134</epage><pages>1701134-1701134</pages><issn>0903-1936</issn><eissn>1399-3003</eissn><abstract>Low fat-free mass index (FFMI) is an independent risk factor for mortality in chronic obstructive pulmonary disease (COPD) not typically measured during routine care. In the present study, we aimed to derive fat-free mass from the pectoralis muscle area (FFM
) and assess whether low FFMI
is associated with all-cause mortality in COPD cases. We used data from two independent COPD cohorts, ECLIPSE and COPDGene.Two equal sized groups of COPD cases (n=759) from the ECLIPSE study were used to derive and validate an equation to calculate the FFM
measured using bioelectrical impedance from PMA. We then applied the equation in COPD cases (n=3121) from the COPDGene cohort, and assessed survival. Low FFMI
was defined, using the Schols classification (FFMI <16 in men, FFMI <15 in women) and the fifth percentile normative values of FFMI from the UK Biobank.The final regression model included PMA, weight, sex and height, and had an adjusted R
of 0.92 with fat-free mass (FFM) as the outcome. In the test group, the correlation between FFM
and FFM remained high (Pearson correlation=0.97). In COPDGene, COPD cases with a low FFMI
had an increased risk of death (HR 1.6, p<0.001).We demonstrated COPD cases with a low FFMI
have an increased risk of death.</abstract><cop>England</cop><pub>European Respiratory Society Journals Ltd</pub><pmid>29242259</pmid><doi>10.1183/13993003.01134-2017</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-5218-4986</orcidid><orcidid>https://orcid.org/0000-0002-2647-9422</orcidid><orcidid>https://orcid.org/0000-0002-1342-4334</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adipose Tissue - anatomy & histology Adipose Tissue - diagnostic imaging Aged Body Composition Body Mass Index Chronic obstructive pulmonary disease Cohort Studies Computed tomography Electric Impedance Fat-free body mass Female Humans Internationality Lung diseases Male Middle Aged Mortality Obstructive lung disease Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Disease, Chronic Obstructive - mortality Risk Factors Survival Analysis Tomography, X-Ray Computed |
title | Chest computed tomography-derived low fat-free mass index and mortality in COPD |
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