Discussion:Arlon/09-0280655
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Révision datée du 28 novembre 2011 à 10:45 par imported>Jacques Ducloy (Page créée avec « <source lang="xml"> <record> <inist h6="B"> <pA> <fA01 i1="01" i2="1"> <s0>0937-941X</s0> </fA01> <fA03 i2="1"> <s0>Osteoporos. int.</... »)
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<fA01 i1="01" i2="1">
<s0>0937-941X</s0>
</fA01>
<fA03 i2="1">
<s0>Osteoporos. int.</s0>
</fA03>
<fA05>
<s2>20</s2>
</fA05>
<fA06>
<s2>7</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG">
<s1>Assessment of determinants for osteoporosis in elderly men</s1>
</fA08>
<fA11 i1="01" i2="1">
<s1>SCHOLTISSEN (S.)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>GUILLEMIN (F.)</s1>
</fA11>
<fA11 i1="03" i2="1">
<s1>BRUYERE (O.)</s1>
</fA11>
<fA11 i1="04" i2="1">
<s1>COLLETTE (J.)</s1>
</fA11>
<fA11 i1="05" i2="1">
<s1>DOUSSET (B.)</s1>
</fA11>
<fA11 i1="06" i2="1">
<s1>KEMMER (C.)</s1>
</fA11>
<fA11 i1="07" i2="1">
<s1>CULOT (S.)</s1>
</fA11>
<fA11 i1="08" i2="1">
<s1>CREMER (D.)</s1>
</fA11>
<fA11 i1="09" i2="1">
<s1>DEJARDIN (H.)</s1>
</fA11>
<fA11 i1="10" i2="1">
<s1>HUBERMONT (G.)</s1>
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<fA11 i1="11" i2="1">
<s1>LEFEBVRE (D.)</s1>
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<fA11 i1="12" i2="1">
<s1>PASCAL-VIGNERON (V.)</s1>
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<fA11 i1="13" i2="1">
<s1>WERYHA (G.)</s1>
</fA11>
<fA11 i1="14" i2="1">
<s1>REGINSTER (J. Y.)</s1>
</fA11>
<fA14 i1="01">
<s1>Department of Public Health, Epidemiology and Health Economics, University of Liège, Avenue de l'Hôpital 3-CHU B23</s1>
<s2>4000 Sart-Tilman</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>14 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>EA 4003 & Inserm CIC-EC & CHU de Nancy, Nancy University, BP 184</s1>
<s2>54505 Vandoeuvre-lès-Nancy</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03">
<s1>Service d'Endocrinologie, CHU de Nancy, Rue du Morvan 5</s1>
<s2>54500 Vandoeuvre</s2>
<s3>FRA</s3>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</fA14>
<fA14 i1="04">
<s1>Bone & Cartilage Markers Laboratory, CHU-Department of Clinical Biology, University of Liège</s1>
<s2>4000 Sart-Tilman</s2>
<s3>BEL</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="05">
<s1>Laboratoire de Biochimie et Biologie Moléculaire, Hôpital Central, Avenue du Maréchal de Lattre de Tassigny 19</s1>
<s2>54000 Nancy</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="06">
<s1>Association Luxembourgeoise pour l'Etude du Métabolisme Osseux, Boulevard J-F Kennedy 1</s1>
<s2>4170 Esch/Alzette</s2>
<s3>LUX</s3>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="07">
<s1>Observatoire de la Santé, Province de Luxembourg, Rue de la Station 49</s1>
<s2>6900 Marloie</s2>
<s3>BEL</s3>
<sZ>7 aut.</sZ>
</fA14>
<fA14 i1="08">
<s1>Hôpital du Centre Ardenne de Libramont (CHA), Avenue de Houffalize 35</s1>
<s2>6800 Libramont</s2>
<s3>BEL</s3>
<sZ>8 aut.</sZ>
</fA14>
<fA14 i1="09">
<s1>Hôpital Princesse Paola (IFAC), Rue du Viviers 21</s1>
<s2>6900 Marche-en-Famenne</s2>
<s3>BEL</s3>
<sZ>9 aut.</sZ>
</fA14>
<fA14 i1="10">
<s1>Hôpital Sainte-Thérèse (IFAC), Chaussée de Houffalize 1</s1>
<s2>6600 Bastogne</s2>
<s3>BEL</s3>
<sZ>10 aut.</sZ>
</fA14>
<fA14 i1="11">
<s1>Clinique Saint-Joseph (CSL), Rue des Déportés 137</s1>
<s2>6700 Arlon</s2>
<s3>BEL</s3>
<sZ>11 aut.</sZ>
</fA14>
<fA20>
<s1>1157-1166</s1>
</fA20>
<fA21>
<s1>2009</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>22974</s2>
<s5>354000188561390070</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2009 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>41 ref.</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>09-0280655</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Osteoporosis international</s0>
</fA64>
<fA66 i1="01">
<s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>Summary The aim of this cross-sectional study was to determine and quantify some determinants associated to low bone mineral density (BMD) in elderly men. This study showed that ageing, a lower body mass index (BMI), a higher blood level of C-terminal cross-linking telopeptides of type I collagen (CTX-1), family history of osteoporosis, and/or fracture and prior fracture were associated with bone mineral density. Introduction Our aims were to identify some determinants associated to low bone mineral density in men and to develop a simple algorithm to predict osteoporosis. Methods A sample of 1,004 men aged 60 years and older was recruited. Biometrical, serological, clinical, and life-style determinants were collected. Univariate, multivariate, and logistic regression analyses were performed. Receiver operating characteristic analysis was used to assess the discriminant performance of the algorithm. Results In the multiple regression analysis, only age, BMI, CTX-1, and family history of osteoporosis and/or fracture were able to predict the femoral neck T-score. When running the procedure with the total hip T-score, prior fracture also appeared to be significant. With the lumbar spine T-score, only age, BMI, and CTX-1 were retained. The best algorithm was based on age, BMI, family history, and CTX-1. A cut-off point of 0.25 yielded a sensibility of 78%, a specificity of 59% with an area under the curve of 0.73 in the development and validation cohorts. Conclusion Ageing, a lower BMI, higher CTX-1, family history, and prior fracture were associated with T-score. Our algorithm is a simple approach to identify men at risk for osteoporosis.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>002B15A</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Ostéoporose</s0>
<s5>07</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Osteoporosis</s0>
<s5>07</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Osteoporosis</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Personne âgée</s0>
<s5>08</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Elderly</s0>
<s5>08</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Anciano</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Epidémiologie</s0>
<s5>13</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Epidemiology</s0>
<s5>13</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Epidemiología</s0>
<s5>13</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE">
<s0>Rhumatologie</s0>
<s5>14</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG">
<s0>Rheumatology</s0>
<s5>14</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA">
<s0>Reumatología</s0>
<s5>14</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Ostéodensitométrie</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Osteodensitometry</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Osteodensitometría</s0>
<s4>CD</s4>
<s5>96</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>
<fN21>
<s1>208</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
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<NO>: PASCAL 09-0280655 INIST</NO>
<ET>Assessment of determinants for osteoporosis in elderly men</ET>
<AU>SCHOLTISSEN (S.); GUILLEMIN (F.); BRUYERE (O.); COLLETTE (J.); DOUSSET (B.); KEMMER (C.); CULOT (S.); CREMER (D.); DEJARDIN (H.); HUBERMONT (G.); LEFEBVRE (D.); PASCAL-VIGNERON (V.); WERYHA (G.); REGINSTER (J. Y.)</AU>
<AF>Department of Public Health, Epidemiology and Health Economics, University of Liège, Avenue de l'Hôpital 3-CHU B23/4000 Sart-Tilman/Belgique (1 aut., 3 aut., 14 aut.); EA 4003 & Inserm CIC-EC & CHU de Nancy, Nancy University, BP 184/54505 Vandoeuvre-lès-Nancy/France (2 aut.); Service d'Endocrinologie, CHU de Nancy, Rue du Morvan 5/54500 Vandoeuvre/France (12 aut., 13 aut.); Bone & Cartilage Markers Laboratory, CHU-Department of Clinical Biology, University of Liège/4000 Sart-Tilman/Belgique (4 aut.); Laboratoire de Biochimie et Biologie Moléculaire, Hôpital Central, Avenue du Maréchal de Lattre de Tassigny 19/54000 Nancy/France (5 aut.); Association Luxembourgeoise pour l'Etude du Métabolisme Osseux, Boulevard J-F Kennedy 1/4170 Esch/Alzette/Luxembourg (6 aut.); Observatoire de la Santé, Province de Luxembourg, Rue de la Station 49/6900 Marloie/Belgique (7 aut.); Hôpital du Centre Ardenne de Libramont (CHA), Avenue de Houffalize 35/6800 Libramont/Belgique (8 aut.); Hôpital Princesse Paola (IFAC), Rue du Viviers 21/6900 Marche-en-Famenne/Belgique (9 aut.); Hôpital Sainte-Thérèse (IFAC), Chaussée de Houffalize 1/6600 Bastogne/Belgique (10 aut.); Clinique Saint-Joseph (CSL), Rue des Déportés 137/6700 Arlon/Belgique (11 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Osteoporosis international; ISSN 0937-941X; Royaume-Uni; Da. 2009; Vol. 20; No. 7; Pp. 1157-1166; Bibl. 41 ref.</SO>
<LA>Anglais</LA>
<EA>Summary The aim of this cross-sectional study was to determine and quantify some determinants associated to low bone mineral density (BMD) in elderly men. This study showed that ageing, a lower body mass index (BMI), a higher blood level of C-terminal cross-linking telopeptides of type I collagen (CTX-1), family history of osteoporosis, and/or fracture and prior fracture were associated with bone mineral density. Introduction Our aims were to identify some determinants associated to low bone mineral density in men and to develop a simple algorithm to predict osteoporosis. Methods A sample of 1,004 men aged 60 years and older was recruited. Biometrical, serological, clinical, and life-style determinants were collected. Univariate, multivariate, and logistic regression analyses were performed. Receiver operating characteristic analysis was used to assess the discriminant performance of the algorithm. Results In the multiple regression analysis, only age, BMI, CTX-1, and family history of osteoporosis and/or fracture were able to predict the femoral neck T-score. When running the procedure with the total hip T-score, prior fracture also appeared to be significant. With the lumbar spine T-score, only age, BMI, and CTX-1 were retained. The best algorithm was based on age, BMI, family history, and CTX-1. A cut-off point of 0.25 yielded a sensibility of 78%, a specificity of 59% with an area under the curve of 0.73 in the development and validation cohorts. Conclusion Ageing, a lower BMI, higher CTX-1, family history, and prior fracture were associated with T-score. Our algorithm is a simple approach to identify men at risk for osteoporosis.</EA>
<CC>002B15A</CC>
<FD>Ostéoporose; Personne âgée; Epidémiologie; Rhumatologie; Ostéodensitométrie</FD>
<FG>Homme; Pathologie du système ostéoarticulaire</FG>
<ED>Osteoporosis; Elderly; Epidemiology; Rheumatology; Osteodensitometry</ED>
<EG>Human; Diseases of the osteoarticular system</EG>
<SD>Osteoporosis; Anciano; Epidemiología; Reumatología; Osteodensitometría</SD>
<LO>INIST-22974.354000188561390070</LO>
<ID>09-0280655</ID>
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