Cargando…
Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort
Probabilistic models including clinical risk factors with or without bone mineral density (BMD) have been developed to estimate the 5‐ or 10‐year absolute fracture risk. We investigated the performance of the FRAX and Garvan tools in a well‐characterized population‐based cohort of 3560 postmenopausa...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441269/ https://www.ncbi.nlm.nih.gov/pubmed/34532617 http://dx.doi.org/10.1002/jbm4.10532 |
_version_ | 1783752840811905024 |
---|---|
author | Baleanu, Felicia Iconaru, Laura Charles, Alexia Kinnard, Virginie Fils, Jean‐François Moreau, Michel Karmali, Rafik Surquin, Murielle Benoit, Florence Mugisha, Aude Paesmans, Marianne Laurent, Michaël R Bergmann, Pierre Body, Jean‐Jacques |
author_facet | Baleanu, Felicia Iconaru, Laura Charles, Alexia Kinnard, Virginie Fils, Jean‐François Moreau, Michel Karmali, Rafik Surquin, Murielle Benoit, Florence Mugisha, Aude Paesmans, Marianne Laurent, Michaël R Bergmann, Pierre Body, Jean‐Jacques |
author_sort | Baleanu, Felicia |
collection | PubMed |
description | Probabilistic models including clinical risk factors with or without bone mineral density (BMD) have been developed to estimate the 5‐ or 10‐year absolute fracture risk. We investigated the performance of the FRAX and Garvan tools in a well‐characterized population‐based cohort of 3560 postmenopausal, volunteer women, aged 60 to 85 years at baseline, included in the Fracture Risk Brussels Epidemiological Enquiry (FRISBEE) cohort, during 5 years of follow‐up. Baseline data were used to calculate the estimated 10‐year risk of hip and major osteoporotic fractures (MOFs) for each participant using FRAX (Belgium). We computed the 5‐year risk according to the Garvan model with BMD. For calibration, the predicted risk of fracture was compared with fracture incidence across a large range of estimated fracture risks. The accuracy of the calculators to predict fractures was assessed using the area under the receiver operating characteristic curves (AUC). The FRAX tool was well calibrated for hip fractures (slope 1.09, p < 0.001; intercept −0.001, p = 0.46), but it consistently underestimated the incidence of major osteoporotic fractures (MOFs) (slope 2.12, p < 0.001; intercept −0.02, p = 0.06). The Garvan tool was well calibrated for “any Garvan” fractures (slope 1.05, p < 0.001; intercept 0.01, p = 0.37) but largely overestimated the observed hip fracture rate (slope 0.32, p < 0.001; intercept 0.006, p = 0.05). The predictive value for hip fractures was better for FRAX (AUC: 0.841, 95% confidence interval [CI] 0.795–0.887) than for Garvan (AUC: 0.769, 95% CI 0.702–0.836, p = 0.01). The Garvan AUC for “any Garvan” fractures was 0.721 (95% CI 0.693–0.749) and FRAX AUC for MOFs was 0.708 (95% CI 0.675–0.741). In conclusion, in our Belgian cohort, FRAX estimated quite well hip fractures but underestimated MOFs, while Garvan overestimated hip fracture risk but showed a good estimation of “any Garvan” fractures. Both models had a good discriminatory value for hip fractures but only a moderate discriminatory ability for MOFs or “any Garvan” fractures. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. |
format | Online Article Text |
id | pubmed-8441269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84412692021-09-15 Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort Baleanu, Felicia Iconaru, Laura Charles, Alexia Kinnard, Virginie Fils, Jean‐François Moreau, Michel Karmali, Rafik Surquin, Murielle Benoit, Florence Mugisha, Aude Paesmans, Marianne Laurent, Michaël R Bergmann, Pierre Body, Jean‐Jacques JBMR Plus Original Articles Probabilistic models including clinical risk factors with or without bone mineral density (BMD) have been developed to estimate the 5‐ or 10‐year absolute fracture risk. We investigated the performance of the FRAX and Garvan tools in a well‐characterized population‐based cohort of 3560 postmenopausal, volunteer women, aged 60 to 85 years at baseline, included in the Fracture Risk Brussels Epidemiological Enquiry (FRISBEE) cohort, during 5 years of follow‐up. Baseline data were used to calculate the estimated 10‐year risk of hip and major osteoporotic fractures (MOFs) for each participant using FRAX (Belgium). We computed the 5‐year risk according to the Garvan model with BMD. For calibration, the predicted risk of fracture was compared with fracture incidence across a large range of estimated fracture risks. The accuracy of the calculators to predict fractures was assessed using the area under the receiver operating characteristic curves (AUC). The FRAX tool was well calibrated for hip fractures (slope 1.09, p < 0.001; intercept −0.001, p = 0.46), but it consistently underestimated the incidence of major osteoporotic fractures (MOFs) (slope 2.12, p < 0.001; intercept −0.02, p = 0.06). The Garvan tool was well calibrated for “any Garvan” fractures (slope 1.05, p < 0.001; intercept 0.01, p = 0.37) but largely overestimated the observed hip fracture rate (slope 0.32, p < 0.001; intercept 0.006, p = 0.05). The predictive value for hip fractures was better for FRAX (AUC: 0.841, 95% confidence interval [CI] 0.795–0.887) than for Garvan (AUC: 0.769, 95% CI 0.702–0.836, p = 0.01). The Garvan AUC for “any Garvan” fractures was 0.721 (95% CI 0.693–0.749) and FRAX AUC for MOFs was 0.708 (95% CI 0.675–0.741). In conclusion, in our Belgian cohort, FRAX estimated quite well hip fractures but underestimated MOFs, while Garvan overestimated hip fracture risk but showed a good estimation of “any Garvan” fractures. Both models had a good discriminatory value for hip fractures but only a moderate discriminatory ability for MOFs or “any Garvan” fractures. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. John Wiley & Sons, Inc. 2021-08-06 /pmc/articles/PMC8441269/ /pubmed/34532617 http://dx.doi.org/10.1002/jbm4.10532 Text en © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Baleanu, Felicia Iconaru, Laura Charles, Alexia Kinnard, Virginie Fils, Jean‐François Moreau, Michel Karmali, Rafik Surquin, Murielle Benoit, Florence Mugisha, Aude Paesmans, Marianne Laurent, Michaël R Bergmann, Pierre Body, Jean‐Jacques Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort |
title | Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort |
title_full | Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort |
title_fullStr | Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort |
title_full_unstemmed | Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort |
title_short | Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort |
title_sort | independent external validation of frax and garvan fracture risk calculators: a sub‐study of the frisbee cohort |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441269/ https://www.ncbi.nlm.nih.gov/pubmed/34532617 http://dx.doi.org/10.1002/jbm4.10532 |
work_keys_str_mv | AT baleanufelicia independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT iconarulaura independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT charlesalexia independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT kinnardvirginie independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT filsjeanfrancois independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT moreaumichel independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT karmalirafik independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT surquinmurielle independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT benoitflorence independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT mugishaaude independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT paesmansmarianne independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT laurentmichaelr independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT bergmannpierre independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort AT bodyjeanjacques independentexternalvalidationoffraxandgarvanfractureriskcalculatorsasubstudyofthefrisbeecohort |