Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women

Background: The FRAX (R) tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007. The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bo...

Descripción completa

Detalles Bibliográficos
Autores: Azagra Ledesma, Rafael, Zwart, Marta, Encabo, Gloria, Aguyé, Amada, Martín Sánchez, Juan Carlos, Puchol, Núria, Gabriel Escoda, Paula, Ortiz Alinque, Sergio, Gené, Emilio, Iglesias, Milagros, Moriña, David, Diaz Herrera, Miguel Angel, Utzet, Mireia, Manresa Domínguez, Josep Maria, GROIMAP study group
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/126839
Acceso en línea:https://hdl.handle.net/2445/126839
Access Level:acceso abierto
Palabra clave:Osteoporosi
Fractures
Osteoporosis
id ES_d9dd309a098f2bc9b68f1a124d9d096d
oai_identifier_str oai:recercat.cat:2445/126839
network_acronym_str ES
network_name_str España
repository_id_str
spelling Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish womenAzagra Ledesma, RafaelZwart, MartaEncabo, GloriaAguyé, AmadaMartín Sánchez, Juan CarlosPuchol, NúriaGabriel Escoda, PaulaOrtiz Alinque, SergioGené, EmilioIglesias, MilagrosMoriña, DavidDiaz Herrera, Miguel AngelUtzet, MireiaManresa Domínguez, Josep MariaGROIMAP study groupOsteoporosiFracturesOsteoporosisBackground: The FRAX (R) tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007. The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bone mineral density (BMD) model, and its predictive abilities. Methods: The discriminatory ability of the FRAX was assessed using the ` area under curve' of the receiver operating characteristic (AUC-ROC). Predictive ability was assessed by comparing estimated risk fractures with incidence fractures after a 10-year follow up period. Results: One thousand three hundred eight women >= 40 and >= 90 years followed up during a 10-year period. The AUC for major osteoporotic fractures using FRAX without DXA was 0.686 (95 % CI 0.630-0.742) and using FN T-score of DXA 0.714 (95 % CI 0.661-0.767). Using only the traditional parameters of DXA (FN T-score), the AUC was 0.706 (95 % CI 0.652-0.760). The AUC for hip osteoporotic fracture was 0.883 (95 % CI 0.827-0.938), 0.857 (95 % CI 0. 773-0.941), and 0.814 (95 % CI 0.712-0.916) respectively. For major osteoporotic fractures, the overall predictive value using the ratio Observed fractures/Expected fractures calculated with FRAX without T-score of DXA was 2.29 and for hip fractures 2.28 and with the inclusion of the T-score 2.01 and 1.83 respectively. However, for hip fracture in women < 65 years was 1.53 and 1.24 respectively. Conclusions: The FRAX tool has been found to show a good discriminatory capacity for detecting women at high risk of fragility fracture, and is better for hip fracture than major fracture. The test of sensibility shows that it is, at least, not inferior than when using BMD model alone. The predictive capacity of FRAX tool needs some adjustment. This capacity is better for hip fracture prediction and better for women < 65 years. Further studies in Catalonia and other regions of Spain are needed to fine tune the FRAX tool's predictive capability.BioMed Central2018201820162018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion10 p.application/pdfhttps://hdl.handle.net/2445/126839Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1186/s12891-016-1096-6BMC Musculoskeletal Disorders, 2016, vol. 17, num. 262https://doi.org/10.1186/s12891-016-1096-6cc by (c) Azagra et al., 2016http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1268392026-05-29T05:05:01Z
dc.title.none.fl_str_mv Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
title Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
spellingShingle Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
Azagra Ledesma, Rafael
Osteoporosi
Fractures
Osteoporosis
title_short Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
title_full Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
title_fullStr Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
title_full_unstemmed Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
title_sort Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
dc.creator.none.fl_str_mv Azagra Ledesma, Rafael
Zwart, Marta
Encabo, Gloria
Aguyé, Amada
Martín Sánchez, Juan Carlos
Puchol, Núria
Gabriel Escoda, Paula
Ortiz Alinque, Sergio
Gené, Emilio
Iglesias, Milagros
Moriña, David
Diaz Herrera, Miguel Angel
Utzet, Mireia
Manresa Domínguez, Josep Maria
GROIMAP study group
author Azagra Ledesma, Rafael
author_facet Azagra Ledesma, Rafael
Zwart, Marta
Encabo, Gloria
Aguyé, Amada
Martín Sánchez, Juan Carlos
Puchol, Núria
Gabriel Escoda, Paula
Ortiz Alinque, Sergio
Gené, Emilio
Iglesias, Milagros
Moriña, David
Diaz Herrera, Miguel Angel
Utzet, Mireia
Manresa Domínguez, Josep Maria
GROIMAP study group
author_role author
author2 Zwart, Marta
Encabo, Gloria
Aguyé, Amada
Martín Sánchez, Juan Carlos
Puchol, Núria
Gabriel Escoda, Paula
Ortiz Alinque, Sergio
Gené, Emilio
Iglesias, Milagros
Moriña, David
Diaz Herrera, Miguel Angel
Utzet, Mireia
Manresa Domínguez, Josep Maria
GROIMAP study group
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Osteoporosi
Fractures
Osteoporosis
topic Osteoporosi
Fractures
Osteoporosis
description Background: The FRAX (R) tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007. The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bone mineral density (BMD) model, and its predictive abilities. Methods: The discriminatory ability of the FRAX was assessed using the ` area under curve' of the receiver operating characteristic (AUC-ROC). Predictive ability was assessed by comparing estimated risk fractures with incidence fractures after a 10-year follow up period. Results: One thousand three hundred eight women >= 40 and >= 90 years followed up during a 10-year period. The AUC for major osteoporotic fractures using FRAX without DXA was 0.686 (95 % CI 0.630-0.742) and using FN T-score of DXA 0.714 (95 % CI 0.661-0.767). Using only the traditional parameters of DXA (FN T-score), the AUC was 0.706 (95 % CI 0.652-0.760). The AUC for hip osteoporotic fracture was 0.883 (95 % CI 0.827-0.938), 0.857 (95 % CI 0. 773-0.941), and 0.814 (95 % CI 0.712-0.916) respectively. For major osteoporotic fractures, the overall predictive value using the ratio Observed fractures/Expected fractures calculated with FRAX without T-score of DXA was 2.29 and for hip fractures 2.28 and with the inclusion of the T-score 2.01 and 1.83 respectively. However, for hip fracture in women < 65 years was 1.53 and 1.24 respectively. Conclusions: The FRAX tool has been found to show a good discriminatory capacity for detecting women at high risk of fragility fracture, and is better for hip fracture than major fracture. The test of sensibility shows that it is, at least, not inferior than when using BMD model alone. The predictive capacity of FRAX tool needs some adjustment. This capacity is better for hip fracture prediction and better for women < 65 years. Further studies in Catalonia and other regions of Spain are needed to fine tune the FRAX tool's predictive capability.
publishDate 2016
dc.date.none.fl_str_mv 2016
2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/126839
url https://hdl.handle.net/2445/126839
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1186/s12891-016-1096-6
BMC Musculoskeletal Disorders, 2016, vol. 17, num. 262
https://doi.org/10.1186/s12891-016-1096-6
dc.rights.none.fl_str_mv cc by (c) Azagra et al., 2016
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by (c) Azagra et al., 2016
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10 p.
application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421474815672320
score 15.812429

Similares en LA Referencia