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Effect of co-morbidities on fracture risk: Findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)

Identifieur interne : 000B17 ( PascalFrancis/Curation ); précédent : 000B16; suivant : 000B18

Effect of co-morbidities on fracture risk: Findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)

Auteurs : Elaine M. Dennison [Royaume-Uni, Nouvelle-Zélande] ; Juliet E. Compston [Royaume-Uni] ; Julie Flahive [États-Unis] ; Ethel S. Siris [États-Unis] ; Stephen H. Gehlbach [États-Unis] ; Jonathan D. Adachi [Canada] ; Steven Boonen [Belgique] ; Roland Chapurlat [France] ; Adolfo Diez-Perez [Espagne] ; Frederick A. Jr Anderson [États-Unis] ; Frederick H. Hooven [États-Unis] ; Andrea Z. Lacroix [États-Unis] ; Robert Lindsay [États-Unis] ; J. Coen Netelenbos [Pays-Bas] ; Johannes Pfeilschifter [Allemagne] ; Maurizio Rossini [Italie] ; Christian Roux [France] ; Kenneth G. Saag [États-Unis] ; Philip Sambrook [Australie] ; Stuart Silverman [États-Unis] ; Nelson B. Watts [États-Unis] ; Susan L. Greenspan [États-Unis] ; Melissa Premaor ; Cyrus Cooper [Royaume-Uni]

Source :

RBID : Pascal:13-0082487

Descripteurs français

English descriptors

Abstract

Introduction: Greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX. Materials and methods: We used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May-Hosmer test, c index and comparison of predicted versus observed fracture rates. Results: Of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% Cl: 1.6-3.1; P<0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease. Conclusion: Co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing comorbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction.
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Pascal:13-0082487

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<name sortKey="Lacroix, Andrea Z" sort="Lacroix, Andrea Z" uniqKey="Lacroix A" first="Andrea Z." last="Lacroix">Andrea Z. Lacroix</name>
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<name sortKey="Lindsay, Robert" sort="Lindsay, Robert" uniqKey="Lindsay R" first="Robert" last="Lindsay">Robert Lindsay</name>
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<name sortKey="Saag, Kenneth G" sort="Saag, Kenneth G" uniqKey="Saag K" first="Kenneth G." last="Saag">Kenneth G. Saag</name>
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<s1>University of Pittsburgh</s1>
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<author>
<name sortKey="Cooper, Cyrus" sort="Cooper, Cyrus" uniqKey="Cooper C" first="Cyrus" last="Cooper">Cyrus Cooper</name>
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<inist:fA14 i1="01">
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<title xml:lang="en" level="a">Effect of co-morbidities on fracture risk: Findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)</title>
<author>
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<sZ>1 aut.</sZ>
<sZ>24 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
</affiliation>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>Victoria University</s1>
<s2>Wellington</s2>
<s3>NZL</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Nouvelle-Zélande</country>
</affiliation>
</author>
<author>
<name sortKey="Compston, Juliet E" sort="Compston, Juliet E" uniqKey="Compston J" first="Juliet E." last="Compston">Juliet E. Compston</name>
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<inist:fA14 i1="03">
<s1>School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge</s1>
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</inist:fA14>
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<s1>Center for Outcomes Research, UMASS Medical School</s1>
<s2>Worcester, MA</s2>
<s3>USA</s3>
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<sZ>5 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
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<country>Canada</country>
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<name sortKey="Boonen, Steven" sort="Boonen, Steven" uniqKey="Boonen S" first="Steven" last="Boonen">Steven Boonen</name>
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<s1>Leuven University Center for Metabolic Bone Diseases, Division of Geriatric Medicine, Ka
<sub>th</sub>
olieke Universitei
<sub>t</sub>
Leuven</s1>
<s2>Leuven</s2>
<s3>BEL</s3>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>Belgique</country>
</affiliation>
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<author>
<name sortKey="Chapurlat, Roland" sort="Chapurlat, Roland" uniqKey="Chapurlat R" first="Roland" last="Chapurlat">Roland Chapurlat</name>
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<s1>INSERM U831, Universite de Lyon, Division of Rheumatology, Hôpital E. Herriot</s1>
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<sZ>8 aut.</sZ>
</inist:fA14>
<country>France</country>
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<author>
<name sortKey="Diez Perez, Adolfo" sort="Diez Perez, Adolfo" uniqKey="Diez Perez A" first="Adolfo" last="Diez-Perez">Adolfo Diez-Perez</name>
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<inist:fA14 i1="09">
<s1>Hospital del Mar-IMIM-Autonomous University of Barcelona</s1>
<s2>Barcelona</s2>
<s3>ESP</s3>
<sZ>9 aut.</sZ>
</inist:fA14>
<country>Espagne</country>
</affiliation>
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<author>
<name sortKey="Anderson, Frederick A Jr" sort="Anderson, Frederick A Jr" uniqKey="Anderson F" first="Frederick A. Jr" last="Anderson">Frederick A. Jr Anderson</name>
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<inist:fA14 i1="04">
<s1>Center for Outcomes Research, UMASS Medical School</s1>
<s2>Worcester, MA</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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<country>États-Unis</country>
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<author>
<name sortKey="Hooven, Frederick H" sort="Hooven, Frederick H" uniqKey="Hooven F" first="Frederick H." last="Hooven">Frederick H. Hooven</name>
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<inist:fA14 i1="04">
<s1>Center for Outcomes Research, UMASS Medical School</s1>
<s2>Worcester, MA</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
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<sZ>11 aut.</sZ>
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<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Lacroix, Andrea Z" sort="Lacroix, Andrea Z" uniqKey="Lacroix A" first="Andrea Z." last="Lacroix">Andrea Z. Lacroix</name>
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<inist:fA14 i1="10">
<s1>Fred Hutchinson Cancer Research Center</s1>
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<s3>USA</s3>
<sZ>12 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
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<author>
<name sortKey="Lindsay, Robert" sort="Lindsay, Robert" uniqKey="Lindsay R" first="Robert" last="Lindsay">Robert Lindsay</name>
<affiliation wicri:level="1">
<inist:fA14 i1="11">
<s1>Regional Bone Center, Helen Hayes Hospital</s1>
<s2>West Haverstraw, NY</s2>
<s3>USA</s3>
<sZ>13 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Coen Netelenbos, J" sort="Coen Netelenbos, J" uniqKey="Coen Netelenbos J" first="J." last="Coen Netelenbos">J. Coen Netelenbos</name>
<affiliation wicri:level="1">
<inist:fA14 i1="12">
<s1>Department of Endocrinology, VU University Medical Center</s1>
<s2>Amsterdam</s2>
<s3>NLD</s3>
<sZ>14 aut.</sZ>
</inist:fA14>
<country>Pays-Bas</country>
</affiliation>
</author>
<author>
<name sortKey="Pfeilschifter, Johannes" sort="Pfeilschifter, Johannes" uniqKey="Pfeilschifter J" first="Johannes" last="Pfeilschifter">Johannes Pfeilschifter</name>
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<inist:fA14 i1="13">
<s1>Alfried Krupp Krankenhaus, Department of Internal Medicine III</s1>
<s2>Essen</s2>
<s3>DEU</s3>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
</affiliation>
</author>
<author>
<name sortKey="Rossini, Maurizio" sort="Rossini, Maurizio" uniqKey="Rossini M" first="Maurizio" last="Rossini">Maurizio Rossini</name>
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<inist:fA14 i1="14">
<s1>Department of Rheumatology, University of Verona</s1>
<s2>Verona</s2>
<s3>ITA</s3>
<sZ>16 aut.</sZ>
</inist:fA14>
<country>Italie</country>
</affiliation>
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<name sortKey="Roux, Christian" sort="Roux, Christian" uniqKey="Roux C" first="Christian" last="Roux">Christian Roux</name>
<affiliation wicri:level="1">
<inist:fA14 i1="15">
<s1>Paris Descartes University, Cochin Hospital</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>17 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
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<name sortKey="Saag, Kenneth G" sort="Saag, Kenneth G" uniqKey="Saag K" first="Kenneth G." last="Saag">Kenneth G. Saag</name>
<affiliation wicri:level="1">
<inist:fA14 i1="16">
<s1>University of Alabama-Birmingham</s1>
<s2>Birmingham, AL</s2>
<s3>USA</s3>
<sZ>18 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
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<name sortKey="Sambrook, Philip" sort="Sambrook, Philip" uniqKey="Sambrook P" first="Philip" last="Sambrook">Philip Sambrook</name>
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<inist:fA14 i1="17">
<s1>University of Sydney-Royal North Shore Hospital, St. Leonards, Sydney</s1>
<s2>New South Wales</s2>
<s3>AUS</s3>
<sZ>19 aut.</sZ>
</inist:fA14>
<country>Australie</country>
</affiliation>
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<name sortKey="Silverman, Stuart" sort="Silverman, Stuart" uniqKey="Silverman S" first="Stuart" last="Silverman">Stuart Silverman</name>
<affiliation wicri:level="1">
<inist:fA14 i1="18">
<s1>Department of Rheumatology, Cedars-Sinai/UCLA</s1>
<s2>Los Angeles, CA</s2>
<s3>USA</s3>
<sZ>20 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
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<name sortKey="Watts, Nelson B" sort="Watts, Nelson B" uniqKey="Watts N" first="Nelson B." last="Watts">Nelson B. Watts</name>
<affiliation wicri:level="1">
<inist:fA14 i1="19">
<s1>Bone Health and Osteoporosis Center, University of Cincinnati</s1>
<s2>Cincinnati, OH</s2>
<s3>USA</s3>
<sZ>21 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
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<name sortKey="Greenspan, Susan L" sort="Greenspan, Susan L" uniqKey="Greenspan S" first="Susan L." last="Greenspan">Susan L. Greenspan</name>
<affiliation wicri:level="1">
<inist:fA14 i1="20">
<s1>University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>22 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Premaor, Melissa" sort="Premaor, Melissa" uniqKey="Premaor M" first="Melissa" last="Premaor">Melissa Premaor</name>
</author>
<author>
<name sortKey="Cooper, Cyrus" sort="Cooper, Cyrus" uniqKey="Cooper C" first="Cyrus" last="Cooper">Cyrus Cooper</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital</s1>
<s2>Southampton</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>24 aut.</sZ>
</inist:fA14>
<country>Royaume-Uni</country>
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<series>
<title level="j" type="main">Bone : (New York, NY)</title>
<title level="j" type="abbreviated">Bone : (NY NY)</title>
<idno type="ISSN">8756-3282</idno>
<imprint>
<date when="2012">2012</date>
</imprint>
</series>
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<title level="j" type="main">Bone : (New York, NY)</title>
<title level="j" type="abbreviated">Bone : (NY NY)</title>
<idno type="ISSN">8756-3282</idno>
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<keywords scheme="KwdEn" xml:lang="en">
<term>Epidemiology</term>
<term>Fracture</term>
<term>Morbidity</term>
<term>Morphology</term>
<term>Multiple sclerosis</term>
<term>Osteoporosis</term>
<term>Parkinson disease</term>
<term>Prognosis</term>
<term>Risk factor</term>
<term>Woman</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Epidémiologie</term>
<term>Morbidité</term>
<term>Fracture</term>
<term>Facteur risque</term>
<term>Ostéoporose</term>
<term>Femme</term>
<term>Maladie de Parkinson</term>
<term>Sclérose en plaques</term>
<term>Morphologie</term>
<term>Pronostic</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Femme</term>
</keywords>
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<front>
<div type="abstract" xml:lang="en">Introduction: Greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX. Materials and methods: We used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May-Hosmer test, c index and comparison of predicted versus observed fracture rates. Results: Of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% Cl: 1.6-3.1; P<0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease. Conclusion: Co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing comorbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction.</div>
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<s1>School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge</s1>
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<sZ>2 aut.</sZ>
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<s1>Center for Outcomes Research, UMASS Medical School</s1>
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<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</fA14>
<fA14 i1="05">
<s1>Department of Medicine, Columbia University Medical Center</s1>
<s2>New York, NY</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
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<fA14 i1="06">
<s1>St. Joseph's Hospital, McMaster University</s1>
<s2>Hamilton, Ontario</s2>
<s3>CAN</s3>
<sZ>6 aut.</sZ>
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<fA14 i1="07">
<s1>Leuven University Center for Metabolic Bone Diseases, Division of Geriatric Medicine, Ka
<sub>th</sub>
olieke Universitei
<sub>t</sub>
Leuven</s1>
<s2>Leuven</s2>
<s3>BEL</s3>
<sZ>7 aut.</sZ>
</fA14>
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<s1>INSERM U831, Universite de Lyon, Division of Rheumatology, Hôpital E. Herriot</s1>
<s2>Lyon</s2>
<s3>FRA</s3>
<sZ>8 aut.</sZ>
</fA14>
<fA14 i1="09">
<s1>Hospital del Mar-IMIM-Autonomous University of Barcelona</s1>
<s2>Barcelona</s2>
<s3>ESP</s3>
<sZ>9 aut.</sZ>
</fA14>
<fA14 i1="10">
<s1>Fred Hutchinson Cancer Research Center</s1>
<s2>Seattle, WA</s2>
<s3>USA</s3>
<sZ>12 aut.</sZ>
</fA14>
<fA14 i1="11">
<s1>Regional Bone Center, Helen Hayes Hospital</s1>
<s2>West Haverstraw, NY</s2>
<s3>USA</s3>
<sZ>13 aut.</sZ>
</fA14>
<fA14 i1="12">
<s1>Department of Endocrinology, VU University Medical Center</s1>
<s2>Amsterdam</s2>
<s3>NLD</s3>
<sZ>14 aut.</sZ>
</fA14>
<fA14 i1="13">
<s1>Alfried Krupp Krankenhaus, Department of Internal Medicine III</s1>
<s2>Essen</s2>
<s3>DEU</s3>
<sZ>15 aut.</sZ>
</fA14>
<fA14 i1="14">
<s1>Department of Rheumatology, University of Verona</s1>
<s2>Verona</s2>
<s3>ITA</s3>
<sZ>16 aut.</sZ>
</fA14>
<fA14 i1="15">
<s1>Paris Descartes University, Cochin Hospital</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>17 aut.</sZ>
</fA14>
<fA14 i1="16">
<s1>University of Alabama-Birmingham</s1>
<s2>Birmingham, AL</s2>
<s3>USA</s3>
<sZ>18 aut.</sZ>
</fA14>
<fA14 i1="17">
<s1>University of Sydney-Royal North Shore Hospital, St. Leonards, Sydney</s1>
<s2>New South Wales</s2>
<s3>AUS</s3>
<sZ>19 aut.</sZ>
</fA14>
<fA14 i1="18">
<s1>Department of Rheumatology, Cedars-Sinai/UCLA</s1>
<s2>Los Angeles, CA</s2>
<s3>USA</s3>
<sZ>20 aut.</sZ>
</fA14>
<fA14 i1="19">
<s1>Bone Health and Osteoporosis Center, University of Cincinnati</s1>
<s2>Cincinnati, OH</s2>
<s3>USA</s3>
<sZ>21 aut.</sZ>
</fA14>
<fA14 i1="20">
<s1>University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>22 aut.</sZ>
</fA14>
<fA17 i1="01" i2="1">
<s1>GLOW Investigators</s1>
<s3>INC</s3>
</fA17>
<fA20>
<s1>1288-1293</s1>
</fA20>
<fA21>
<s1>2012</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>19041</s2>
<s5>354000502993050110</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2013 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>41 ref.</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>13-0082487</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Bone : (New York, NY)</s0>
</fA64>
<fA66 i1="01">
<s0>NLD</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>Introduction: Greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX. Materials and methods: We used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May-Hosmer test, c index and comparison of predicted versus observed fracture rates. Results: Of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% Cl: 1.6-3.1; P<0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease. Conclusion: Co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing comorbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>002A16</s0>
</fC02>
<fC02 i1="02" i2="X">
<s0>002B16H</s0>
</fC02>
<fC02 i1="03" i2="X">
<s0>002B15A</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Epidémiologie</s0>
<s5>07</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Epidemiology</s0>
<s5>07</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Epidemiología</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Morbidité</s0>
<s5>08</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Morbidity</s0>
<s5>08</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Morbilidad</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Fracture</s0>
<s5>09</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Fracture</s0>
<s5>09</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Fractura</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE">
<s0>Facteur risque</s0>
<s5>13</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG">
<s0>Risk factor</s0>
<s5>13</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA">
<s0>Factor riesgo</s0>
<s5>13</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Ostéoporose</s0>
<s5>14</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Osteoporosis</s0>
<s5>14</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Osteoporosis</s0>
<s5>14</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE">
<s0>Femme</s0>
<s5>15</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG">
<s0>Woman</s0>
<s5>15</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA">
<s0>Mujer</s0>
<s5>15</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE">
<s0>Maladie de Parkinson</s0>
<s2>NM</s2>
<s5>17</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG">
<s0>Parkinson disease</s0>
<s2>NM</s2>
<s5>17</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA">
<s0>Parkinson enfermedad</s0>
<s2>NM</s2>
<s5>17</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE">
<s0>Sclérose en plaques</s0>
<s2>NM</s2>
<s5>18</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG">
<s0>Multiple sclerosis</s0>
<s2>NM</s2>
<s5>18</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA">
<s0>Esclerosis en placa</s0>
<s2>NM</s2>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Morphologie</s0>
<s5>19</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Morphology</s0>
<s5>19</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Morfología</s0>
<s5>19</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE">
<s0>Pronostic</s0>
<s5>30</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG">
<s0>Prognosis</s0>
<s5>30</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA">
<s0>Pronóstico</s0>
<s5>30</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Homme</s0>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Human</s0>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Hombre</s0>
</fC07>
<fC07 i1="02" i2="X" l="FRE">
<s0>Pathologie du système ostéoarticulaire</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG">
<s0>Diseases of the osteoarticular system</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA">
<s0>Sistema osteoarticular patología</s0>
<s5>37</s5>
</fC07>
<fC07 i1="03" i2="X" l="FRE">
<s0>Traumatisme</s0>
<s5>38</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG">
<s0>Trauma</s0>
<s5>38</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA">
<s0>Traumatismo</s0>
<s5>38</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE">
<s0>Pathologie de l'encéphale</s0>
<s5>39</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG">
<s0>Cerebral disorder</s0>
<s5>39</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA">
<s0>Encéfalo patología</s0>
<s5>39</s5>
</fC07>
<fC07 i1="05" i2="X" l="FRE">
<s0>Syndrome extrapyramidal</s0>
<s5>40</s5>
</fC07>
<fC07 i1="05" i2="X" l="ENG">
<s0>Extrapyramidal syndrome</s0>
<s5>40</s5>
</fC07>
<fC07 i1="05" i2="X" l="SPA">
<s0>Extrapiramidal síndrome</s0>
<s5>40</s5>
</fC07>
<fC07 i1="06" i2="X" l="FRE">
<s0>Maladie dégénérative</s0>
<s5>41</s5>
</fC07>
<fC07 i1="06" i2="X" l="ENG">
<s0>Degenerative disease</s0>
<s5>41</s5>
</fC07>
<fC07 i1="06" i2="X" l="SPA">
<s0>Enfermedad degenerativa</s0>
<s5>41</s5>
</fC07>
<fC07 i1="07" i2="X" l="FRE">
<s0>Pathologie du système nerveux central</s0>
<s5>42</s5>
</fC07>
<fC07 i1="07" i2="X" l="ENG">
<s0>Central nervous system disease</s0>
<s5>42</s5>
</fC07>
<fC07 i1="07" i2="X" l="SPA">
<s0>Sistema nervosio central patología</s0>
<s5>42</s5>
</fC07>
<fC07 i1="08" i2="X" l="FRE">
<s0>Pathologie du système nerveux</s0>
<s5>43</s5>
</fC07>
<fC07 i1="08" i2="X" l="ENG">
<s0>Nervous system diseases</s0>
<s5>43</s5>
</fC07>
<fC07 i1="08" i2="X" l="SPA">
<s0>Sistema nervioso patología</s0>
<s5>43</s5>
</fC07>
<fC07 i1="09" i2="X" l="FRE">
<s0>Maladie inflammatoire</s0>
<s5>44</s5>
</fC07>
<fC07 i1="09" i2="X" l="ENG">
<s0>Inflammatory disease</s0>
<s5>44</s5>
</fC07>
<fC07 i1="09" i2="X" l="SPA">
<s0>Enfermedad inflamatoria</s0>
<s5>44</s5>
</fC07>
<fN21>
<s1>049</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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   |wiki=    Wicri/Canada
   |area=    ParkinsonCanadaV1
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   |texte=   Effect of co-morbidities on fracture risk: Findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)
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