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Published in: BMC Musculoskeletal Disorders 1/2012

Open Access 01-12-2012 | Research article

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

Authors: Rafael Azagra, Genís Roca, Gloria Encabo, Amada Aguyé, Marta Zwart, Sílvia Güell, Núria Puchol, Emili Gene, Enrique Casado, Pilar Sancho, Silvia Solà, Pere Torán, Milagros Iglesias, Maria Carmen Gisbert, Francesc López-Expósito, Jesús Pujol-Salud, Yolanda Fernandez-Hermida, Ana Puente, Mireia Rosàs, Vicente Bou, Juan José Antón, Gustavo Lansdberg, Juan Carlos Martín-Sánchez, Adolf Díez-Pérez, Daniel Prieto-Alhambra

Published in: BMC Musculoskeletal Disorders | Issue 1/2012

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Abstract

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.
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Metadata
Title
FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort
Authors
Rafael Azagra
Genís Roca
Gloria Encabo
Amada Aguyé
Marta Zwart
Sílvia Güell
Núria Puchol
Emili Gene
Enrique Casado
Pilar Sancho
Silvia Solà
Pere Torán
Milagros Iglesias
Maria Carmen Gisbert
Francesc López-Expósito
Jesús Pujol-Salud
Yolanda Fernandez-Hermida
Ana Puente
Mireia Rosàs
Vicente Bou
Juan José Antón
Gustavo Lansdberg
Juan Carlos Martín-Sánchez
Adolf Díez-Pérez
Daniel Prieto-Alhambra
Publication date
01-12-2012
Publisher
BioMed Central
Published in
BMC Musculoskeletal Disorders / Issue 1/2012
Electronic ISSN: 1471-2474
DOI
https://doi.org/10.1186/1471-2474-13-204

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