Title |
Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women
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Published in |
BMC Musculoskeletal Disorders, June 2016
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DOI | 10.1186/s12891-016-1096-6 |
Pubmed ID | |
Authors |
Rafael Azagra, Marta Zwart, Gloria Encabo, Amada Aguyé, Juan Carlos Martin-Sánchez, Nuria Puchol-Ruiz, Paula Gabriel-Escoda, Sergio Ortiz-Alinque, Emilio Gené, Milagros Iglesias, David Moriña, Miguel Angel Diaz-Herrera, Mireia Utzet, Josep Maria Manresa, On behalf of GROIMAP study group |
Abstract |
The FRAX® 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. 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. 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. 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 3 | 50% |
Netherlands | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Unknown | 58 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 9 | 15% |
Student > Master | 8 | 14% |
Student > Doctoral Student | 6 | 10% |
Student > Bachelor | 5 | 8% |
Librarian | 5 | 8% |
Other | 15 | 25% |
Unknown | 11 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 49% |
Nursing and Health Professions | 8 | 14% |
Mathematics | 2 | 3% |
Social Sciences | 2 | 3% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 4 | 7% |
Unknown | 13 | 22% |