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...

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Autores: Azagra, R, Zwart, M, Encabo, G, Aguyé, A, Martin-Sánchez, JC, Puchol-Ruiz, N, Gabriel-Escoda, P, Ortiz-Alinque, S, Gené, E, Iglesias, M, Moriña, D, Diaz-Herrera, MA, Utzet, M, Manresa, JM
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Institut d'Investigació i Innovació Parc Taulí (I3PT)
Repositorio:r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
OAI Identifier:oai:i3pt.fundanetsuite.com:p5905
Acceso en línea:https://i3pt.portalinvestigacion.com/publicaciones/5905
Access Level:acceso abierto
Palabra clave:Osteoporosis
Fracture
FRAX
FRIDEX
Study cohort
Algorithm
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spelling Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish womenAzagra, RZwart, MEncabo, GAguyé, AMartin-Sánchez, JCPuchol-Ruiz, NGabriel-Escoda, POrtiz-Alinque, SGené, EIglesias, MMoriña, DDiaz-Herrera, MAUtzet, MManresa, JMOsteoporosisFractureFRAXFRIDEXStudy cohortAlgorithmBackground: 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.BMC2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://i3pt.portalinvestigacion.com/publicaciones/5905BMC MUSCULOSKELETAL DISORDERSISSN: 14712474reponame:r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulíinstname:Institut d'Investigació i Innovació Parc Taulí (I3PT)Inglésinfo:eu-repo/semantics/openAccessoai:i3pt.fundanetsuite.com:p59052026-06-21T15:30:37Z
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, R
Osteoporosis
Fracture
FRAX
FRIDEX
Study cohort
Algorithm
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, R
Zwart, M
Encabo, G
Aguyé, A
Martin-Sánchez, JC
Puchol-Ruiz, N
Gabriel-Escoda, P
Ortiz-Alinque, S
Gené, E
Iglesias, M
Moriña, D
Diaz-Herrera, MA
Utzet, M
Manresa, JM
author Azagra, R
author_facet Azagra, R
Zwart, M
Encabo, G
Aguyé, A
Martin-Sánchez, JC
Puchol-Ruiz, N
Gabriel-Escoda, P
Ortiz-Alinque, S
Gené, E
Iglesias, M
Moriña, D
Diaz-Herrera, MA
Utzet, M
Manresa, JM
author_role author
author2 Zwart, M
Encabo, G
Aguyé, A
Martin-Sánchez, JC
Puchol-Ruiz, N
Gabriel-Escoda, P
Ortiz-Alinque, S
Gené, E
Iglesias, M
Moriña, D
Diaz-Herrera, MA
Utzet, M
Manresa, JM
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Osteoporosis
Fracture
FRAX
FRIDEX
Study cohort
Algorithm
topic Osteoporosis
Fracture
FRAX
FRIDEX
Study cohort
Algorithm
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
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://i3pt.portalinvestigacion.com/publicaciones/5905
url https://i3pt.portalinvestigacion.com/publicaciones/5905
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv BMC MUSCULOSKELETAL DISORDERS
ISSN: 14712474
reponame:r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
instname:Institut d'Investigació i Innovació Parc Taulí (I3PT)
instname_str Institut d'Investigació i Innovació Parc Taulí (I3PT)
reponame_str r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
collection r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
repository.name.fl_str_mv
repository.mail.fl_str_mv
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