An assessment tool for predicting fracture risk in postmenopausal women
Due to the magnitude of the morbidity and mortality associated with untreated osteoporosis, it is essential that high-risk individuals be identified so that they can receive appropriate evaluation and treatment. The objective of this investigation was to develop a simple clinical assessment tool bas...
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Veröffentlicht in: | Osteoporosis international 2001-01, Vol.12 (7), p.519-528 |
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description | Due to the magnitude of the morbidity and mortality associated with untreated osteoporosis, it is essential that high-risk individuals be identified so that they can receive appropriate evaluation and treatment. The objective of this investigation was to develop a simple clinical assessment tool based on a small number of risk factors that could be used by women or their clinicians to assess their risk of fractures. Using data from the Study of Osteoporotic Fractures (SOF), a total of 7782 women age 65 years and older with bone mineral density (BMD) measurements and baseline risk factors were included in the analysis. A model with and without BMD T-scores was developed by identifying variables that could be easily assessed in either clinical practice or by self-administration. The assessment tool, called the FRACTURE Index, is comprised of a set of seven variables that include age; BMD T-score, fracture after age 50 years, maternal hip fracture after age 50, weight less than or equal to 125 pounds (57 kg), smoking status, and use of arms to stand up from a chair. The FRACTURE Index was shown to be predictive of hip fracture, as well as vertebral and nonvertebral fractures. In addition, this index was validated using the EPIDOS fracture study. The FRACTURE Index can be used either with or without BMD testing by older postmenopausal women or their clinicians to assess the 5-year risk of hip and other osteoporotic fractures, and could be useful in helping to determine the need for further evaluation and treatment of these women. |
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M ; STEINBUCH, M ; PALERMO, L ; DARGENT-MOLINA, P ; LINDSAY, R ; HOSEYNI, M. S ; JOHNELL, O</creator><creatorcontrib>BLACK, D. M ; STEINBUCH, M ; PALERMO, L ; DARGENT-MOLINA, P ; LINDSAY, R ; HOSEYNI, M. S ; JOHNELL, O</creatorcontrib><description>Due to the magnitude of the morbidity and mortality associated with untreated osteoporosis, it is essential that high-risk individuals be identified so that they can receive appropriate evaluation and treatment. The objective of this investigation was to develop a simple clinical assessment tool based on a small number of risk factors that could be used by women or their clinicians to assess their risk of fractures. Using data from the Study of Osteoporotic Fractures (SOF), a total of 7782 women age 65 years and older with bone mineral density (BMD) measurements and baseline risk factors were included in the analysis. A model with and without BMD T-scores was developed by identifying variables that could be easily assessed in either clinical practice or by self-administration. The assessment tool, called the FRACTURE Index, is comprised of a set of seven variables that include age; BMD T-score, fracture after age 50 years, maternal hip fracture after age 50, weight less than or equal to 125 pounds (57 kg), smoking status, and use of arms to stand up from a chair. The FRACTURE Index was shown to be predictive of hip fracture, as well as vertebral and nonvertebral fractures. In addition, this index was validated using the EPIDOS fracture study. The FRACTURE Index can be used either with or without BMD testing by older postmenopausal women or their clinicians to assess the 5-year risk of hip and other osteoporotic fractures, and could be useful in helping to determine the need for further evaluation and treatment of these women.</description><identifier>ISSN: 0937-941X</identifier><identifier>EISSN: 1433-2965</identifier><identifier>DOI: 10.1007/s001980170072</identifier><identifier>PMID: 11527048</identifier><language>eng</language><publisher>London: Springer</publisher><subject>Age ; Aged ; Aged, 80 and over ; Algorithms ; Biological and medical sciences ; Body Weight ; Bone Density ; Diseases of the osteoarticular system ; Female ; Fractures ; Fractures, Bone - etiology ; Fractures, Bone - physiopathology ; Hip joint ; Humans ; Logistic Models ; Medical sciences ; Movement ; Odds Ratio ; Osteoporosis ; Osteoporosis, Postmenopausal - complications ; Osteoporosis, Postmenopausal - physiopathology ; Osteoporosis. Osteomalacia. Paget disease ; Population ; Predictive Value of Tests ; Prospective Studies ; Questionnaires ; Reproducibility of Results ; Risk Assessment ; Risk Factors ; ROC Curve ; Sensitivity and Specificity ; White people ; Women</subject><ispartof>Osteoporosis international, 2001-01, Vol.12 (7), p.519-528</ispartof><rights>2001 INIST-CNRS</rights><rights>International Osteoporosis Foundation and National Osteoporosis Foundation 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-82f56da38dbae48accd73621a9bc9ce14f7d24bd26360d9761b40e679e2876823</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1120245$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11527048$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>BLACK, D. M</creatorcontrib><creatorcontrib>STEINBUCH, M</creatorcontrib><creatorcontrib>PALERMO, L</creatorcontrib><creatorcontrib>DARGENT-MOLINA, P</creatorcontrib><creatorcontrib>LINDSAY, R</creatorcontrib><creatorcontrib>HOSEYNI, M. S</creatorcontrib><creatorcontrib>JOHNELL, O</creatorcontrib><title>An assessment tool for predicting fracture risk in postmenopausal women</title><title>Osteoporosis international</title><addtitle>Osteoporos Int</addtitle><description>Due to the magnitude of the morbidity and mortality associated with untreated osteoporosis, it is essential that high-risk individuals be identified so that they can receive appropriate evaluation and treatment. The objective of this investigation was to develop a simple clinical assessment tool based on a small number of risk factors that could be used by women or their clinicians to assess their risk of fractures. Using data from the Study of Osteoporotic Fractures (SOF), a total of 7782 women age 65 years and older with bone mineral density (BMD) measurements and baseline risk factors were included in the analysis. A model with and without BMD T-scores was developed by identifying variables that could be easily assessed in either clinical practice or by self-administration. The assessment tool, called the FRACTURE Index, is comprised of a set of seven variables that include age; BMD T-score, fracture after age 50 years, maternal hip fracture after age 50, weight less than or equal to 125 pounds (57 kg), smoking status, and use of arms to stand up from a chair. The FRACTURE Index was shown to be predictive of hip fracture, as well as vertebral and nonvertebral fractures. In addition, this index was validated using the EPIDOS fracture study. The FRACTURE Index can be used either with or without BMD testing by older postmenopausal women or their clinicians to assess the 5-year risk of hip and other osteoporotic fractures, and could be useful in helping to determine the need for further evaluation and treatment of these women.</description><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Body Weight</subject><subject>Bone Density</subject><subject>Diseases of the osteoarticular system</subject><subject>Female</subject><subject>Fractures</subject><subject>Fractures, Bone - etiology</subject><subject>Fractures, Bone - physiopathology</subject><subject>Hip joint</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Medical sciences</subject><subject>Movement</subject><subject>Odds Ratio</subject><subject>Osteoporosis</subject><subject>Osteoporosis, Postmenopausal - complications</subject><subject>Osteoporosis, Postmenopausal - physiopathology</subject><subject>Osteoporosis. Osteomalacia. Paget disease</subject><subject>Population</subject><subject>Predictive Value of Tests</subject><subject>Prospective Studies</subject><subject>Questionnaires</subject><subject>Reproducibility of Results</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>White people</subject><subject>Women</subject><issn>0937-941X</issn><issn>1433-2965</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqF0c9LHDEUB_AgFXddPfYqoUh7Gs1LMvlxFLFWELxY8DZkMpky29nJmDeD-N-brQu2Pejp8eDD9_H4EvIZ2Bkwps-RMbCGgc4L3yNLkEIU3KryE1kyK3RhJTwsyCHimmVirT4gC4CSaybNklxfDNQhBsRNGCY6xdjTNiY6ptB0fuqGX7RNzk9zCjR1-Jt2Ax0jTlnH0c3oevoU83JE9lvXYzjezRX5-f3q_vJHcXt3fXN5cVt4ycxUGN6WqnHCNLUL0jjvGy0UB2drb30A2eqGy7rhSijWWK2gliwobQM3WhkuVuTba-6Y4uMccKo2HfrQ924IccbKllIBANdZfn1XagDBOZgPIRgJDMpt4pf_4DrOacjvVkaa0jD552zxinyKiCm01Zi6jUvPFbBq21j1T2PZn-xC53oTmje9qyiD0x1w6F2f2xh8h385zrgsxQtYDZvz</recordid><startdate>20010101</startdate><enddate>20010101</enddate><creator>BLACK, D. 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M ; STEINBUCH, M ; PALERMO, L ; DARGENT-MOLINA, P ; LINDSAY, R ; HOSEYNI, M. S ; JOHNELL, O</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-82f56da38dbae48accd73621a9bc9ce14f7d24bd26360d9761b40e679e2876823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Body Weight</topic><topic>Bone Density</topic><topic>Diseases of the osteoarticular system</topic><topic>Female</topic><topic>Fractures</topic><topic>Fractures, Bone - etiology</topic><topic>Fractures, Bone - physiopathology</topic><topic>Hip joint</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Medical sciences</topic><topic>Movement</topic><topic>Odds Ratio</topic><topic>Osteoporosis</topic><topic>Osteoporosis, Postmenopausal - complications</topic><topic>Osteoporosis, Postmenopausal - physiopathology</topic><topic>Osteoporosis. Osteomalacia. Paget disease</topic><topic>Population</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Questionnaires</topic><topic>Reproducibility of Results</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>White people</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BLACK, D. M</creatorcontrib><creatorcontrib>STEINBUCH, M</creatorcontrib><creatorcontrib>PALERMO, L</creatorcontrib><creatorcontrib>DARGENT-MOLINA, P</creatorcontrib><creatorcontrib>LINDSAY, R</creatorcontrib><creatorcontrib>HOSEYNI, M. 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M</au><au>STEINBUCH, M</au><au>PALERMO, L</au><au>DARGENT-MOLINA, P</au><au>LINDSAY, R</au><au>HOSEYNI, M. S</au><au>JOHNELL, O</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An assessment tool for predicting fracture risk in postmenopausal women</atitle><jtitle>Osteoporosis international</jtitle><addtitle>Osteoporos Int</addtitle><date>2001-01-01</date><risdate>2001</risdate><volume>12</volume><issue>7</issue><spage>519</spage><epage>528</epage><pages>519-528</pages><issn>0937-941X</issn><eissn>1433-2965</eissn><abstract>Due to the magnitude of the morbidity and mortality associated with untreated osteoporosis, it is essential that high-risk individuals be identified so that they can receive appropriate evaluation and treatment. The objective of this investigation was to develop a simple clinical assessment tool based on a small number of risk factors that could be used by women or their clinicians to assess their risk of fractures. Using data from the Study of Osteoporotic Fractures (SOF), a total of 7782 women age 65 years and older with bone mineral density (BMD) measurements and baseline risk factors were included in the analysis. A model with and without BMD T-scores was developed by identifying variables that could be easily assessed in either clinical practice or by self-administration. The assessment tool, called the FRACTURE Index, is comprised of a set of seven variables that include age; BMD T-score, fracture after age 50 years, maternal hip fracture after age 50, weight less than or equal to 125 pounds (57 kg), smoking status, and use of arms to stand up from a chair. The FRACTURE Index was shown to be predictive of hip fracture, as well as vertebral and nonvertebral fractures. In addition, this index was validated using the EPIDOS fracture study. The FRACTURE Index can be used either with or without BMD testing by older postmenopausal women or their clinicians to assess the 5-year risk of hip and other osteoporotic fractures, and could be useful in helping to determine the need for further evaluation and treatment of these women.</abstract><cop>London</cop><pub>Springer</pub><pmid>11527048</pmid><doi>10.1007/s001980170072</doi><tpages>10</tpages></addata></record> |
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subjects | Age Aged Aged, 80 and over Algorithms Biological and medical sciences Body Weight Bone Density Diseases of the osteoarticular system Female Fractures Fractures, Bone - etiology Fractures, Bone - physiopathology Hip joint Humans Logistic Models Medical sciences Movement Odds Ratio Osteoporosis Osteoporosis, Postmenopausal - complications Osteoporosis, Postmenopausal - physiopathology Osteoporosis. Osteomalacia. Paget disease Population Predictive Value of Tests Prospective Studies Questionnaires Reproducibility of Results Risk Assessment Risk Factors ROC Curve Sensitivity and Specificity White people Women |
title | An assessment tool for predicting fracture risk in postmenopausal women |
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