The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults

Detalhes bibliográficos
Autor(a) principal: Wang, Jun
Data de Publicação: 2017
Outros Autores: Wang, Xuejun, Fang, Zhen, Lu, Nanjia, Han, Liyuan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/133339
Resumo: OBJECTIVE: We aimed to analyze the applicability of a fracture risk assessment tool for the prediction of osteoporotic fractures in middle-aged and elderly healthy Chinese adults. METHODS: A standard questionnaire was administered, and bone mineral density was measured in residents visiting the Dongliu Street Community Health Service Center. Paired t-tests were used to compare the FRAX-based probabilities of fractures estimated with and without consideration of bone mineral density. Risk stratification and partial correlation analyses were applied to analyze the associations between FRAX-based probabilities and body mass index or bone mineral density at different sites. RESULTS: A total of 444 subjects were included in this study. Of these subjects, 175 (39.59%) were diagnosed as osteoporotic, and 208 (47.06%) were diagnosed as osteopenic. The Kappa value for the detection of osteoporosis at the L1-L4 lumbar spine and femoral neck was 0.314. The FRAX-based 10-year major osteoporotic fracture probability and hip osteoporotic fracture probability estimated without considering bone mineral density were 4.93% and 1.64%, respectively; when estimated while considering bone mineral density, these probabilities were 4.97% and 1.54%, respectively. A significant positive association was observed between the FRAX-based fracture probabilities estimated with and without consideration of bone mineral density, while significant negative associations between body mass index and the estimated FRAX-based fracture probabilities after adjustment for age and the estimated FRAX-based fracture probabilities and femoral neck bone mineral density were identified. These results remained the same after controlling for lumbar spine bone mineral density. CONCLUSIONS: The Chinese FRAX model could predict osteoporotic fracture risk regardless of whether bone mineral density was considered and was especially appropriate for predicting osteoporotic fractures of the femoral neck.
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spelling The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese AdultsFRAXOsteoporotic FractureBone Mineral DensityOBJECTIVE: We aimed to analyze the applicability of a fracture risk assessment tool for the prediction of osteoporotic fractures in middle-aged and elderly healthy Chinese adults. METHODS: A standard questionnaire was administered, and bone mineral density was measured in residents visiting the Dongliu Street Community Health Service Center. Paired t-tests were used to compare the FRAX-based probabilities of fractures estimated with and without consideration of bone mineral density. Risk stratification and partial correlation analyses were applied to analyze the associations between FRAX-based probabilities and body mass index or bone mineral density at different sites. RESULTS: A total of 444 subjects were included in this study. Of these subjects, 175 (39.59%) were diagnosed as osteoporotic, and 208 (47.06%) were diagnosed as osteopenic. The Kappa value for the detection of osteoporosis at the L1-L4 lumbar spine and femoral neck was 0.314. The FRAX-based 10-year major osteoporotic fracture probability and hip osteoporotic fracture probability estimated without considering bone mineral density were 4.93% and 1.64%, respectively; when estimated while considering bone mineral density, these probabilities were 4.97% and 1.54%, respectively. A significant positive association was observed between the FRAX-based fracture probabilities estimated with and without consideration of bone mineral density, while significant negative associations between body mass index and the estimated FRAX-based fracture probabilities after adjustment for age and the estimated FRAX-based fracture probabilities and femoral neck bone mineral density were identified. These results remained the same after controlling for lumbar spine bone mineral density. CONCLUSIONS: The Chinese FRAX model could predict osteoporotic fracture risk regardless of whether bone mineral density was considered and was especially appropriate for predicting osteoporotic fractures of the femoral neck.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2017-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/13333910.6061/clinics/2017(05)06Clinics; Vol. 72 No. 5 (2017); 289-293Clinics; v. 72 n. 5 (2017); 289-293Clinics; Vol. 72 Núm. 5 (2017); 289-2931980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/133339/129405Copyright (c) 2017 Clinicsinfo:eu-repo/semantics/openAccessWang, JunWang, XuejunFang, ZhenLu, NanjiaHan, Liyuan2017-06-02T13:42:09Zoai:revistas.usp.br:article/133339Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2017-06-02T13:42:09Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
title The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
spellingShingle The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
Wang, Jun
FRAX
Osteoporotic Fracture
Bone Mineral Density
title_short The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
title_full The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
title_fullStr The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
title_full_unstemmed The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
title_sort The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults
author Wang, Jun
author_facet Wang, Jun
Wang, Xuejun
Fang, Zhen
Lu, Nanjia
Han, Liyuan
author_role author
author2 Wang, Xuejun
Fang, Zhen
Lu, Nanjia
Han, Liyuan
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Wang, Jun
Wang, Xuejun
Fang, Zhen
Lu, Nanjia
Han, Liyuan
dc.subject.por.fl_str_mv FRAX
Osteoporotic Fracture
Bone Mineral Density
topic FRAX
Osteoporotic Fracture
Bone Mineral Density
description OBJECTIVE: We aimed to analyze the applicability of a fracture risk assessment tool for the prediction of osteoporotic fractures in middle-aged and elderly healthy Chinese adults. METHODS: A standard questionnaire was administered, and bone mineral density was measured in residents visiting the Dongliu Street Community Health Service Center. Paired t-tests were used to compare the FRAX-based probabilities of fractures estimated with and without consideration of bone mineral density. Risk stratification and partial correlation analyses were applied to analyze the associations between FRAX-based probabilities and body mass index or bone mineral density at different sites. RESULTS: A total of 444 subjects were included in this study. Of these subjects, 175 (39.59%) were diagnosed as osteoporotic, and 208 (47.06%) were diagnosed as osteopenic. The Kappa value for the detection of osteoporosis at the L1-L4 lumbar spine and femoral neck was 0.314. The FRAX-based 10-year major osteoporotic fracture probability and hip osteoporotic fracture probability estimated without considering bone mineral density were 4.93% and 1.64%, respectively; when estimated while considering bone mineral density, these probabilities were 4.97% and 1.54%, respectively. A significant positive association was observed between the FRAX-based fracture probabilities estimated with and without consideration of bone mineral density, while significant negative associations between body mass index and the estimated FRAX-based fracture probabilities after adjustment for age and the estimated FRAX-based fracture probabilities and femoral neck bone mineral density were identified. These results remained the same after controlling for lumbar spine bone mineral density. CONCLUSIONS: The Chinese FRAX model could predict osteoporotic fracture risk regardless of whether bone mineral density was considered and was especially appropriate for predicting osteoporotic fractures of the femoral neck.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/clinics/article/view/133339
10.6061/clinics/2017(05)06
url https://www.revistas.usp.br/clinics/article/view/133339
identifier_str_mv 10.6061/clinics/2017(05)06
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/133339/129405
dc.rights.driver.fl_str_mv Copyright (c) 2017 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 72 No. 5 (2017); 289-293
Clinics; v. 72 n. 5 (2017); 289-293
Clinics; Vol. 72 Núm. 5 (2017); 289-293
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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