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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Empirically Based Composite Fracture Prediction Model From the Global Longitudinal Study of Osteoporosis in Postmenopausal Women (GLOW)</title><author><name sortKey="Fitzgerald, Gordon" sort="Fitzgerald, Gordon" uniqKey="Fitzgerald G" first="Gordon" last="Fitzgerald">Gordon Fitzgerald</name></author><author><name sortKey="Compston, Juliet E" sort="Compston, Juliet E" uniqKey="Compston J" first="Juliet E." last="Compston">Juliet E. Compston</name></author><author><name sortKey="Chapurlat, Roland D" sort="Chapurlat, Roland D" uniqKey="Chapurlat R" first="Roland D." last="Chapurlat">Roland D. Chapurlat</name></author><author><name sortKey="Pfeilschifter, Johannes" sort="Pfeilschifter, Johannes" uniqKey="Pfeilschifter J" first="Johannes" last="Pfeilschifter">Johannes Pfeilschifter</name></author><author><name sortKey="Cooper, Cyrus" sort="Cooper, Cyrus" uniqKey="Cooper C" first="Cyrus" last="Cooper">Cyrus Cooper</name></author><author><name sortKey="Hosmer, David W" sort="Hosmer, David W" uniqKey="Hosmer D" first="David W." last="Hosmer">David W. Hosmer</name></author><author><name sortKey="Adachi, Jonathan D" sort="Adachi, Jonathan D" uniqKey="Adachi J" first="Jonathan D." last="Adachi">Jonathan D. Adachi</name></author><author><name sortKey="Anderson, Frederick A" sort="Anderson, Frederick A" uniqKey="Anderson F" first="Frederick A." last="Anderson">Frederick A. Anderson</name></author><author><name sortKey="Diez Perez, Adolfo" sort="Diez Perez, Adolfo" uniqKey="Diez Perez A" first="Adolfo" last="Díez-Pérez">Adolfo Díez-Pérez</name></author><author><name sortKey="Greenspan, Susan L" sort="Greenspan, Susan L" uniqKey="Greenspan S" first="Susan L." last="Greenspan">Susan L. Greenspan</name></author><author><name sortKey="Netelenbos, J Coen" sort="Netelenbos, J Coen" uniqKey="Netelenbos J" first="J. Coen" last="Netelenbos">J. Coen Netelenbos</name></author><author><name sortKey="Nieves, Jeri W" sort="Nieves, Jeri W" uniqKey="Nieves J" first="Jeri W." last="Nieves">Jeri W. Nieves</name></author><author><name sortKey="Rossini, Maurizio" sort="Rossini, Maurizio" uniqKey="Rossini M" first="Maurizio" last="Rossini">Maurizio Rossini</name></author><author><name sortKey="Watts, Nelson B" sort="Watts, Nelson B" uniqKey="Watts N" first="Nelson B." last="Watts">Nelson B. Watts</name></author><author><name sortKey="Hooven, Frederick H" sort="Hooven, Frederick H" uniqKey="Hooven F" first="Frederick H." last="Hooven">Frederick H. Hooven</name></author><author><name sortKey="Lacroix, Andrea Z" sort="Lacroix, Andrea Z" uniqKey="Lacroix A" first="Andrea Z." last="Lacroix">Andrea Z. Lacroix</name></author><author><name sortKey="March, Lyn" sort="March, Lyn" uniqKey="March L" first="Lyn" last="March">Lyn March</name></author><author><name sortKey="Roux, Christian" sort="Roux, Christian" uniqKey="Roux C" first="Christian" last="Roux">Christian Roux</name></author><author><name sortKey="Saag, Kenneth G" sort="Saag, Kenneth G" uniqKey="Saag K" first="Kenneth G." last="Saag">Kenneth G. Saag</name></author><author><name sortKey="Siris, Ethel S" sort="Siris, Ethel S" uniqKey="Siris E" first="Ethel S." last="Siris">Ethel S. Siris</name></author><author><name sortKey="Silverman, Stuart" sort="Silverman, Stuart" uniqKey="Silverman S" first="Stuart" last="Silverman">Stuart Silverman</name></author><author><name sortKey="Gehlbach, Stephen H" sort="Gehlbach, Stephen H" uniqKey="Gehlbach S" first="Stephen H." last="Gehlbach">Stephen H. Gehlbach</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24423345</idno><idno type="pmc">5393481</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393481</idno><idno type="RBID">PMC:5393481</idno><idno type="doi">10.1210/jc.2013-3468</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">001919</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001919</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Empirically Based Composite Fracture Prediction Model From the Global Longitudinal Study of Osteoporosis in Postmenopausal Women (GLOW)</title><author><name sortKey="Fitzgerald, Gordon" sort="Fitzgerald, Gordon" uniqKey="Fitzgerald G" first="Gordon" last="Fitzgerald">Gordon Fitzgerald</name></author><author><name sortKey="Compston, Juliet E" sort="Compston, Juliet E" uniqKey="Compston J" first="Juliet E." last="Compston">Juliet E. Compston</name></author><author><name sortKey="Chapurlat, Roland D" sort="Chapurlat, Roland D" uniqKey="Chapurlat R" first="Roland D." last="Chapurlat">Roland D. Chapurlat</name></author><author><name sortKey="Pfeilschifter, Johannes" sort="Pfeilschifter, Johannes" uniqKey="Pfeilschifter J" first="Johannes" last="Pfeilschifter">Johannes Pfeilschifter</name></author><author><name sortKey="Cooper, Cyrus" sort="Cooper, Cyrus" uniqKey="Cooper C" first="Cyrus" last="Cooper">Cyrus Cooper</name></author><author><name sortKey="Hosmer, David W" sort="Hosmer, David W" uniqKey="Hosmer D" first="David W." last="Hosmer">David W. Hosmer</name></author><author><name sortKey="Adachi, Jonathan D" sort="Adachi, Jonathan D" uniqKey="Adachi J" first="Jonathan D." last="Adachi">Jonathan D. Adachi</name></author><author><name sortKey="Anderson, Frederick A" sort="Anderson, Frederick A" uniqKey="Anderson F" first="Frederick A." last="Anderson">Frederick A. Anderson</name></author><author><name sortKey="Diez Perez, Adolfo" sort="Diez Perez, Adolfo" uniqKey="Diez Perez A" first="Adolfo" last="Díez-Pérez">Adolfo Díez-Pérez</name></author><author><name sortKey="Greenspan, Susan L" sort="Greenspan, Susan L" uniqKey="Greenspan S" first="Susan L." last="Greenspan">Susan L. Greenspan</name></author><author><name sortKey="Netelenbos, J Coen" sort="Netelenbos, J Coen" uniqKey="Netelenbos J" first="J. Coen" last="Netelenbos">J. Coen Netelenbos</name></author><author><name sortKey="Nieves, Jeri W" sort="Nieves, Jeri W" uniqKey="Nieves J" first="Jeri W." last="Nieves">Jeri W. Nieves</name></author><author><name sortKey="Rossini, Maurizio" sort="Rossini, Maurizio" uniqKey="Rossini M" first="Maurizio" last="Rossini">Maurizio Rossini</name></author><author><name sortKey="Watts, Nelson B" sort="Watts, Nelson B" uniqKey="Watts N" first="Nelson B." last="Watts">Nelson B. Watts</name></author><author><name sortKey="Hooven, Frederick H" sort="Hooven, Frederick H" uniqKey="Hooven F" first="Frederick H." last="Hooven">Frederick H. Hooven</name></author><author><name sortKey="Lacroix, Andrea Z" sort="Lacroix, Andrea Z" uniqKey="Lacroix A" first="Andrea Z." last="Lacroix">Andrea Z. Lacroix</name></author><author><name sortKey="March, Lyn" sort="March, Lyn" uniqKey="March L" first="Lyn" last="March">Lyn March</name></author><author><name sortKey="Roux, Christian" sort="Roux, Christian" uniqKey="Roux C" first="Christian" last="Roux">Christian Roux</name></author><author><name sortKey="Saag, Kenneth G" sort="Saag, Kenneth G" uniqKey="Saag K" first="Kenneth G." last="Saag">Kenneth G. Saag</name></author><author><name sortKey="Siris, Ethel S" sort="Siris, Ethel S" uniqKey="Siris E" first="Ethel S." last="Siris">Ethel S. Siris</name></author><author><name sortKey="Silverman, Stuart" sort="Silverman, Stuart" uniqKey="Silverman S" first="Stuart" last="Silverman">Stuart Silverman</name></author><author><name sortKey="Gehlbach, Stephen H" sort="Gehlbach, Stephen H" uniqKey="Gehlbach S" first="Stephen H." last="Gehlbach">Stephen H. Gehlbach</name></author></analytic><series><title level="j">The Journal of Clinical Endocrinology and Metabolism</title><idno type="ISSN">0021-972X</idno><idno type="eISSN">1945-7197</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Context:</title><p>Several fracture prediction models that combine fractures at different sites into a composite outcome are in current use. However, to the extent individual fracture sites have differing risk factor profiles, model discrimination is impaired.</p></sec><sec><title>Objective:</title><p>The objective of the study was to improve model discrimination by developing a 5-year composite fracture prediction model for fracture sites that display similar risk profiles.</p></sec><sec><title>Design:</title><p>This was a prospective, observational cohort study.</p></sec><sec><title>Setting:</title><p>The study was conducted at primary care practices in 10 countries.</p></sec><sec><title>Patients:</title><p>Women aged 55 years or older participated in the study.</p></sec><sec><title>Intervention:</title><p>Self-administered questionnaires collected data on patient characteristics, fracture risk factors, and previous fractures.</p></sec><sec><title>Main Outcome Measure:</title><p>The main outcome is time to first clinical fracture of hip, pelvis, upper leg, clavicle, or spine, each of which exhibits a strong association with advanced age.</p></sec><sec><title>Results:</title><p>Of four composite fracture models considered, model discrimination (c index) is highest for an age-related fracture model (c index of 0.75, 47 066 women), and lowest for Fracture Risk Assessment Tool (FRAX) major fracture and a 10-site model (c indices of 0.67 and 0.65). The unadjusted increase in fracture risk for an additional 10 years of age ranges from 80% to 180% for the individual bones in the age-associated model. Five other fracture sites not considered for the age-associated model (upper arm/shoulder, rib, wrist, lower leg, and ankle) have age associations for an additional 10 years of age from a 10% decrease to a 60% increase.</p></sec><sec><title>Conclusions:</title><p>After examining results for 10 different bone fracture sites, advanced age appeared the single best possibility for uniting several different sites, resulting in an empirically based composite fracture risk model.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Clin Endocrinol Metab</journal-id><journal-id journal-id-type="iso-abbrev">J. Clin. Endocrinol. Metab</journal-id><journal-id journal-id-type="publisher-id">jcem</journal-id><journal-id journal-id-type="pmc">jcem</journal-id><journal-title-group><journal-title>The Journal of Clinical Endocrinology and Metabolism</journal-title></journal-title-group><issn pub-type="ppub">0021-972X</issn><issn pub-type="epub">1945-7197</issn><publisher><publisher-name>Endocrine Society</publisher-name><publisher-loc>Chevy Chase, MD</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24423345</article-id><article-id pub-id-type="pmc">5393481</article-id><article-id pub-id-type="publisher-id">13-3468</article-id><article-id pub-id-type="doi">10.1210/jc.2013-3468</article-id><article-categories><subj-group subj-group-type="hwp-journal-coll"><subject>2</subject></subj-group><subj-group subj-group-type="heading"><subject>Endocrine Care</subject></subj-group></article-categories><title-group><article-title>Empirically Based Composite Fracture Prediction Model From the Global Longitudinal Study of Osteoporosis in Postmenopausal Women (GLOW)</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>FitzGerald</surname><given-names>Gordon</given-names></name></contrib><contrib contrib-type="author"><name><surname>Compston</surname><given-names>Juliet E.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Chapurlat</surname><given-names>Roland D.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Pfeilschifter</surname><given-names>Johannes</given-names></name></contrib><contrib contrib-type="author"><name><surname>Cooper</surname><given-names>Cyrus</given-names></name></contrib><contrib contrib-type="author"><name><surname>Hosmer</surname><given-names>David W.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Adachi</surname><given-names>Jonathan D.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Anderson</surname><given-names>Frederick A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Díez-Pérez</surname><given-names>Adolfo</given-names></name></contrib><contrib contrib-type="author"><name><surname>Greenspan</surname><given-names>Susan L.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Netelenbos</surname><given-names>J. Coen</given-names></name></contrib><contrib contrib-type="author"><name><surname>Nieves</surname><given-names>Jeri W.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Rossini</surname><given-names>Maurizio</given-names></name></contrib><contrib contrib-type="author"><name><surname>Watts</surname><given-names>Nelson B.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Hooven</surname><given-names>Frederick H.</given-names></name></contrib><contrib contrib-type="author"><name><surname>LaCroix</surname><given-names>Andrea Z.</given-names></name></contrib><contrib contrib-type="author"><name><surname>March</surname><given-names>Lyn</given-names></name></contrib><contrib contrib-type="author"><name><surname>Roux</surname><given-names>Christian</given-names></name></contrib><contrib contrib-type="author"><name><surname>Saag</surname><given-names>Kenneth G.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Siris</surname><given-names>Ethel S.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Silverman</surname><given-names>Stuart</given-names></name></contrib><contrib contrib-type="author"><name><surname>Gehlbach</surname><given-names>Stephen H.</given-names></name></contrib><aff>Center for Outcomes Research (G.F., D.W.H., F.A.A., F.H.H., S.H.G.) University of Massachusetts Medical School, Worcester, Massachusetts 01605; University of Cambridge School of Clinical Medicine (J.E.C.), Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom; Division of Rheumatology (R.D.C.), INSERM Unité Mixte de Recherche 1033, Université de Lyon, and Department of Orthopedics and Rheumatology, Hôpital E. Herriot, 69003 Lyon, France; Department of Internal Medicine III (J.P.), Alfried Krupp Krankenhaus, Essen D-45276, Germany; Medical Research Council Lifecourse Epidemiology Unit (C.C.), University of Southampton, Southampton General Hospital, Southampton SO16 6YD, United Kingdom; National Institute for Health Research Musculoskeletal Biomedical Research Unit (C.C.), University of Oxford, Oxford OX1 3QX, United Kingdom; St Joseph's Hospital (J.D.A.), McMaster University, Hamilton, Ontario, Canada L8N 1Y2; Hospital del Mar-IMIM-Autonomous University of Barcelona (A.D.-P.), 08035 Barcelona, Spain; Research Network on Aging and Frailty, Le Fonds européen de développement régional (European Regional Development Fund), Instituto de Salud Carlos III, 28029 Madrid, Spain; University of Pittsburgh (S.L.G.), Pittsburgh, Pennsylvania 15213; Department of Endocrinology (J.C.N.), VU University Medical Centre, Amsterdam 2131PM Hoofddorp, The Netherlands; Helen Hayes Hospital and Columbia University (J.W.N.), West Haverstraw, New York 10993; Section of Rheumatology (M.R.), Department of Medicine, University of Verona, 37129 Verona, Italy; Mercy Health (N.B.W.), Cincinnati, Ohio 45236; Fred Hutchinson Cancer Research Center (A.Z.L.), Seattle, Washington 98109; University of Sydney Institute of Bone and Joint Research and Department of Rheumatology (L.M.), Royal North Shore Hospital, 2006 Sydney, Australia; Paris Descartes University and Cochin Hospital (C.R.), 75014 Paris, France; Division of Clinical Immunology and Rheumatology (K.G.S.), University of Alabama at Birmingham, Birmingham, Alabama 35294; Columbia University Medical Center (E.S.S.), New York, New York 10032; and Department of Rheumatology, Cedars-Sinai Medical Center (S.S.), Los Angeles, California 90211</aff></contrib-group><author-notes><corresp>Address all correspondence and requests for reprints to: Gordon FitzGerald, PhD, Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA 01605. E-mail: <email>gordon.fitzgerald@umassmed.edu</email>.</corresp></author-notes><pub-date pub-type="ppub"><month>3</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>2</day><month>1</month><year>2014</year></pub-date><volume>99</volume><issue>3</issue><fpage>817</fpage><lpage>826</lpage><history><date date-type="received"><day>13</day><month>9</month><year>2013</year></date><date date-type="accepted"><day>11</day><month>12</month><year>2013</year></date></history><permissions><copyright-statement>Copyright © 2014 by The Endocrine Society</copyright-statement><copyright-year>2014</copyright-year></permissions><self-uri content-type="pdf" xlink:href="jc.2013-3468.pdf"></self-uri><abstract><sec><title>Context:</title><p>Several fracture prediction models that combine fractures at different sites into a composite outcome are in current use. However, to the extent individual fracture sites have differing risk factor profiles, model discrimination is impaired.</p></sec><sec><title>Objective:</title><p>The objective of the study was to improve model discrimination by developing a 5-year composite fracture prediction model for fracture sites that display similar risk profiles.</p></sec><sec><title>Design:</title><p>This was a prospective, observational cohort study.</p></sec><sec><title>Setting:</title><p>The study was conducted at primary care practices in 10 countries.</p></sec><sec><title>Patients:</title><p>Women aged 55 years or older participated in the study.</p></sec><sec><title>Intervention:</title><p>Self-administered questionnaires collected data on patient characteristics, fracture risk factors, and previous fractures.</p></sec><sec><title>Main Outcome Measure:</title><p>The main outcome is time to first clinical fracture of hip, pelvis, upper leg, clavicle, or spine, each of which exhibits a strong association with advanced age.</p></sec><sec><title>Results:</title><p>Of four composite fracture models considered, model discrimination (c index) is highest for an age-related fracture model (c index of 0.75, 47 066 women), and lowest for Fracture Risk Assessment Tool (FRAX) major fracture and a 10-site model (c indices of 0.67 and 0.65). The unadjusted increase in fracture risk for an additional 10 years of age ranges from 80% to 180% for the individual bones in the age-associated model. Five other fracture sites not considered for the age-associated model (upper arm/shoulder, rib, wrist, lower leg, and ankle) have age associations for an additional 10 years of age from a 10% decrease to a 60% increase.</p></sec><sec><title>Conclusions:</title><p>After examining results for 10 different bone fracture sites, advanced age appeared the single best possibility for uniting several different sites, resulting in an empirically based composite fracture risk model.</p></sec></abstract><funding-group><award-group id="award1"><funding-source id="GS1">Warner Chilcott Company, LLC, and Sanofi</funding-source><funding-source id="GS2">Center for Outcomes Research, University of Massachusetts Medical School, Worcester, Massachusetts</funding-source></award-group><funding-statement>Financial support for the GLOW study is provided by the Warner Chilcott Company, LLC, and Sanofi (to the Center for Outcomes Research, University of Massachusetts Medical School, Worcester, Massachusetts).</funding-statement></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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