Cargando…

FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort

BACKGROUND: The WHO has recently published the FRAX® tool to determine the absolute risk of osteoporotic fracture at 10 years. This tool has not yet been validated in Spain. METHODS/DESIGN: A prospective observational study was undertaken in women in the FRIDEX cohort (Barcelona) not receiving bone...

Descripción completa

Detalles Bibliográficos
Autores principales: Azagra, Rafael, Roca, Genís, Encabo, Gloria, Aguyé, Amada, Zwart, Marta, Güell, Sílvia, Puchol, Núria, Gene, Emili, Casado, Enrique, Sancho, Pilar, Solà, Silvia, Torán, Pere, Iglesias, Milagros, Gisbert, Maria Carmen, López-Expósito, Francesc, Pujol-Salud, Jesús, Fernandez-Hermida, Yolanda, Puente, Ana, Rosàs, Mireia, Bou, Vicente, Antón, Juan José, Lansdberg, Gustavo, Martín-Sánchez, Juan Carlos, Díez-Pérez, Adolf, Prieto-Alhambra, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3518201/
https://www.ncbi.nlm.nih.gov/pubmed/23088223
http://dx.doi.org/10.1186/1471-2474-13-204
_version_ 1782252535112794112
author Azagra, Rafael
Roca, Genís
Encabo, Gloria
Aguyé, Amada
Zwart, Marta
Güell, Sílvia
Puchol, Núria
Gene, Emili
Casado, Enrique
Sancho, Pilar
Solà, Silvia
Torán, Pere
Iglesias, Milagros
Gisbert, Maria Carmen
López-Expósito, Francesc
Pujol-Salud, Jesús
Fernandez-Hermida, Yolanda
Puente, Ana
Rosàs, Mireia
Bou, Vicente
Antón, Juan José
Lansdberg, Gustavo
Martín-Sánchez, Juan Carlos
Díez-Pérez, Adolf
Prieto-Alhambra, Daniel
author_facet Azagra, Rafael
Roca, Genís
Encabo, Gloria
Aguyé, Amada
Zwart, Marta
Güell, Sílvia
Puchol, Núria
Gene, Emili
Casado, Enrique
Sancho, Pilar
Solà, Silvia
Torán, Pere
Iglesias, Milagros
Gisbert, Maria Carmen
López-Expósito, Francesc
Pujol-Salud, Jesús
Fernandez-Hermida, Yolanda
Puente, Ana
Rosàs, Mireia
Bou, Vicente
Antón, Juan José
Lansdberg, Gustavo
Martín-Sánchez, Juan Carlos
Díez-Pérez, Adolf
Prieto-Alhambra, Daniel
author_sort Azagra, Rafael
collection PubMed
description BACKGROUND: The WHO has recently published the FRAX® tool to determine the absolute risk of osteoporotic fracture at 10 years. This tool has not yet been validated in Spain. METHODS/DESIGN: A prospective observational study was undertaken in women in the FRIDEX cohort (Barcelona) not receiving bone active drugs at baseline. Baseline measurements: known risk factors including those of FRAX® and a DXA. Follow up data on self-reported incident major fractures (hip, spine, humerus and wrist) and verified against patient records. The calculation of absolute risk of major fracture and hip fracture was by FRAX® website. This work follows the guidelines of the STROBE initiative for cohort studies. The discriminative capacity of FRAX® was analyzed by the Area Under Curve (AUC), Receiver Operating Characteristics (ROC) and the Hosmer-Lemeshow goodness-of-fit test. The predictive capacity was determined using the ratio of observed fractures/expected fractures by FRAX® (ObsFx/ExpFx). RESULTS: The study subjects were 770 women from 40 to 90 years of age in the FRIDEX cohort. The mean age was 56.8 ± 8 years. The fractures were determined by structured telephone questionnaire and subsequent testing in medical records at 10 years. Sixty-five (8.4%) women presented major fractures (17 hip fractures). Women with fractures were older, had more previous fractures, more cases of rheumatoid arthritis and also more osteoporosis on the baseline DXA. The AUC ROC of FRAX® for major fracture without bone mineral density (BMD) was 0.693 (CI 95%; 0.622-0.763), with T-score of femoral neck (FN) 0.716 (CI 95%; 0.646-0.786), being 0.888 (CI 95%; 0.824-0.952) and 0.849 (CI 95%; 0.737-0.962), respectively for hip fracture. In the model with BMD alone was 0.661 (CI 95%; 0.583-0.739) and 0.779 (CI 95%; 0.631-0.929). In the model with age alone was 0.668 (CI 95%; 0.603-0.733) and 0.882 (CI 95%; 0.832-0.936). In both cases there are not significant differences against FRAX® model. The overall predictive value for major fracture by ObsFx/ExpFx ratio was 2.4 and 2.8 for hip fracture without BMD. With BMD was 2.2 and 2.3 respectively. Sensitivity of the four was always less than 50%. The Hosmer-Lemeshow test showed a good correlation only after calibration with ObsFx/ExpFx ratio. CONCLUSIONS: The current version of FRAX® for Spanish women without BMD analzsed by the AUC ROC demonstrate a poor discriminative capacity to predict major fractures but a good discriminative capacity for hip fractures. Its predictive capacity does not adjust well because leading to underdiagnosis for both predictions major and hip fractures. Simple models based only on age or BMD alone similarly predicted that more complex FRAX® models.
format Online
Article
Text
id pubmed-3518201
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35182012012-12-11 FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort Azagra, Rafael Roca, Genís Encabo, Gloria Aguyé, Amada Zwart, Marta Güell, Sílvia Puchol, Núria Gene, Emili Casado, Enrique Sancho, Pilar Solà, Silvia Torán, Pere Iglesias, Milagros Gisbert, Maria Carmen López-Expósito, Francesc Pujol-Salud, Jesús Fernandez-Hermida, Yolanda Puente, Ana Rosàs, Mireia Bou, Vicente Antón, Juan José Lansdberg, Gustavo Martín-Sánchez, Juan Carlos Díez-Pérez, Adolf Prieto-Alhambra, Daniel BMC Musculoskelet Disord Research Article BACKGROUND: The WHO has recently published the FRAX® tool to determine the absolute risk of osteoporotic fracture at 10 years. This tool has not yet been validated in Spain. METHODS/DESIGN: A prospective observational study was undertaken in women in the FRIDEX cohort (Barcelona) not receiving bone active drugs at baseline. Baseline measurements: known risk factors including those of FRAX® and a DXA. Follow up data on self-reported incident major fractures (hip, spine, humerus and wrist) and verified against patient records. The calculation of absolute risk of major fracture and hip fracture was by FRAX® website. This work follows the guidelines of the STROBE initiative for cohort studies. The discriminative capacity of FRAX® was analyzed by the Area Under Curve (AUC), Receiver Operating Characteristics (ROC) and the Hosmer-Lemeshow goodness-of-fit test. The predictive capacity was determined using the ratio of observed fractures/expected fractures by FRAX® (ObsFx/ExpFx). RESULTS: The study subjects were 770 women from 40 to 90 years of age in the FRIDEX cohort. The mean age was 56.8 ± 8 years. The fractures were determined by structured telephone questionnaire and subsequent testing in medical records at 10 years. Sixty-five (8.4%) women presented major fractures (17 hip fractures). Women with fractures were older, had more previous fractures, more cases of rheumatoid arthritis and also more osteoporosis on the baseline DXA. The AUC ROC of FRAX® for major fracture without bone mineral density (BMD) was 0.693 (CI 95%; 0.622-0.763), with T-score of femoral neck (FN) 0.716 (CI 95%; 0.646-0.786), being 0.888 (CI 95%; 0.824-0.952) and 0.849 (CI 95%; 0.737-0.962), respectively for hip fracture. In the model with BMD alone was 0.661 (CI 95%; 0.583-0.739) and 0.779 (CI 95%; 0.631-0.929). In the model with age alone was 0.668 (CI 95%; 0.603-0.733) and 0.882 (CI 95%; 0.832-0.936). In both cases there are not significant differences against FRAX® model. The overall predictive value for major fracture by ObsFx/ExpFx ratio was 2.4 and 2.8 for hip fracture without BMD. With BMD was 2.2 and 2.3 respectively. Sensitivity of the four was always less than 50%. The Hosmer-Lemeshow test showed a good correlation only after calibration with ObsFx/ExpFx ratio. CONCLUSIONS: The current version of FRAX® for Spanish women without BMD analzsed by the AUC ROC demonstrate a poor discriminative capacity to predict major fractures but a good discriminative capacity for hip fractures. Its predictive capacity does not adjust well because leading to underdiagnosis for both predictions major and hip fractures. Simple models based only on age or BMD alone similarly predicted that more complex FRAX® models. BioMed Central 2012-10-22 /pmc/articles/PMC3518201/ /pubmed/23088223 http://dx.doi.org/10.1186/1471-2474-13-204 Text en Copyright ©2012 Azagra et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Azagra, Rafael
Roca, Genís
Encabo, Gloria
Aguyé, Amada
Zwart, Marta
Güell, Sílvia
Puchol, Núria
Gene, Emili
Casado, Enrique
Sancho, Pilar
Solà, Silvia
Torán, Pere
Iglesias, Milagros
Gisbert, Maria Carmen
López-Expósito, Francesc
Pujol-Salud, Jesús
Fernandez-Hermida, Yolanda
Puente, Ana
Rosàs, Mireia
Bou, Vicente
Antón, Juan José
Lansdberg, Gustavo
Martín-Sánchez, Juan Carlos
Díez-Pérez, Adolf
Prieto-Alhambra, Daniel
FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
title FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
title_full FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
title_fullStr FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
title_full_unstemmed FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
title_short FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
title_sort frax® tool, the who algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the spanish fridex cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3518201/
https://www.ncbi.nlm.nih.gov/pubmed/23088223
http://dx.doi.org/10.1186/1471-2474-13-204
work_keys_str_mv AT azagrarafael fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT rocagenis fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT encabogloria fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT aguyeamada fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT zwartmarta fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT guellsilvia fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT pucholnuria fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT geneemili fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT casadoenrique fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT sanchopilar fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT solasilvia fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT toranpere fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT iglesiasmilagros fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT gisbertmariacarmen fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT lopezexpositofrancesc fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT pujolsaludjesus fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT fernandezhermidayolanda fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT puenteana fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT rosasmireia fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT bouvicente fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT antonjuanjose fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT lansdberggustavo fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT martinsanchezjuancarlos fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT diezperezadolf fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort
AT prietoalhambradaniel fraxtoolthewhoalgorithmtopredictosteoporoticfracturesthefirstanalysisofitsdiscriminativeandpredictiveabilityinthespanishfridexcohort