Skip to main content
Top
Published in: Osteoporosis International 10/2019

01-10-2019 | Osteoporosis | Original Article

How well do the FRAX (Australia) and Garvan calculators predict incident fractures? Data from the Geelong Osteoporosis Study

Authors: K. L. Holloway-Kew, Y. Zhang, A. G. Betson, K. B. Anderson, D. Hans, N. K. Hyde, G. C. Nicholson, N. A. Pocock, M. A. Kotowicz, J. A. Pasco

Published in: Osteoporosis International | Issue 10/2019

Login to get access

Abstract

Summary

This study reports that both FRAX and Garvan calculators underestimated fractures in Australian men and women, particularly in those with osteopenia or osteoporosis. Major osteoporotic fractures were poorly predicted, while both calculators performed acceptably well for hip fractures.

Introduction

This study assessed the ability of the FRAX (Australia) and Garvan calculators to predict fractures in Australian women and men.

Methods

Women (n = 809) and men (n = 821) aged 50–90 years, enrolled in the Geelong Osteoporosis Study, were included. Fracture risk was estimated using FRAX and Garvan calculators with and without femoral neck bone mineral density (BMD) (FRAXBMD, FRAXnoBMD, GarvanBMD, GarvannoBMD). Incident major osteoporotic (MOF), fragility, and hip fractures over the following 10 years were verified radiologically. Differences between observed and predicted numbers of fractures were assessed using a chi-squared test. Diagnostics indexes were calculated.

Results

In women, 115 MOF, 184 fragility, and 42 hip fractures occurred. For men, there were 73, 109, and 17 fractures, respectively. FRAX underestimated MOFs, regardless of sex or inclusion of BMD. FRAX accurately predicted hip fractures, except in women with BMD (20 predicted, p = 0.004). Garvan underestimated fragility fractures except in men using BMD (88 predicted, p = 0.109). Garvan accurately predicted hip fractures except for women without BMD (12 predicted, p < 0.001). Fractures were underestimated primarily in the osteopenia and osteoporosis groups; MOFs in the normal BMD group were only underestimated by FRAXBMD and fragility fractures by GarvannoBMD, both in men. AUROCs were not different between scores with and without BMD, except for fragility fractures predicted by Garvan in women (0.696, 95% CI 0.652–0.739 and 0.668, 0.623–0.712, respectively, p = 0.008) and men, which almost reached significance (0.683, 0.631–0.734, and 0.667, 0.615–0.719, respectively, p = 0.051). Analyses of sensitivity and specificity showed overall that MOFs and fragility fractures were poorly predicted by both FRAX and Garvan, while hip fractures were acceptably predicted.

Conclusions

Overall, the FRAX and Garvan calculators underestimated MOF and fragility fractures, particularly in individuals with osteopenia or osteoporosis. Hip fractures were predicted better by both calculators. AUROC analyses suggest that GarvanBMD performed better than GarvannoBMD for prediction of fragility fractures.
Appendix
Available only for authorised users
Literature
3.
go back to reference Otmar R, Kotowicz MA, Brennan SL, Bucki-Smith G, Korn S, Pasco JA (2013) Personal and psychosocial impacts of clinical fracture in men. J Mens Health 10:22–27CrossRef Otmar R, Kotowicz MA, Brennan SL, Bucki-Smith G, Korn S, Pasco JA (2013) Personal and psychosocial impacts of clinical fracture in men. J Mens Health 10:22–27CrossRef
4.
go back to reference Pasco JA, Sanders KM, Hoekstra FM, Henry MJ, Nicholson GC, Kotowicz MA (2005) The human cost of fracture. Osteoporos Int 16:2046–2052CrossRefPubMed Pasco JA, Sanders KM, Hoekstra FM, Henry MJ, Nicholson GC, Kotowicz MA (2005) The human cost of fracture. Osteoporos Int 16:2046–2052CrossRefPubMed
6.
go back to reference Sanders KM, Nicholson GC, Watts JJ, Pasco JA, Henry MJ, Kotowicz MA, Seeman E (2006) Half the burden of fragility fractures in the community occur in women without osteoporosis. When is fracture prevention cost-effective? Bone 38:694–700CrossRefPubMed Sanders KM, Nicholson GC, Watts JJ, Pasco JA, Henry MJ, Kotowicz MA, Seeman E (2006) Half the burden of fragility fractures in the community occur in women without osteoporosis. When is fracture prevention cost-effective? Bone 38:694–700CrossRefPubMed
10.
go back to reference Bauer DC (2011) FRAX, falls, and fracture prediction: predicting the future. Arch Intern Med 171:1661–1662CrossRefPubMed Bauer DC (2011) FRAX, falls, and fracture prediction: predicting the future. Arch Intern Med 171:1661–1662CrossRefPubMed
19.
go back to reference Azagra R, Roca G, Encabo G, Aguyé A, Zwart M, Güell S, Puchol N, Gene E, Casado E, Sancho P, Solà S, Torán P, Iglesias M, Gisbert MC, López-Expósito F, Pujol-Salud J, Fernandez-Hermida Y, Puente A, Rosàs M, Bou V, Antón JJ, Lansdberg G, Martín-Sánchez JC, Díez-Pérez A, Prieto-Alhambra D (2012) FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort. BMC Musculoskelet Disord 13:204. https://doi.org/10.1186/1471-2474-13-204 CrossRefPubMedPubMedCentral Azagra R, Roca G, Encabo G, Aguyé A, Zwart M, Güell S, Puchol N, Gene E, Casado E, Sancho P, Solà S, Torán P, Iglesias M, Gisbert MC, López-Expósito F, Pujol-Salud J, Fernandez-Hermida Y, Puente A, Rosàs M, Bou V, Antón JJ, Lansdberg G, Martín-Sánchez JC, Díez-Pérez A, Prieto-Alhambra D (2012) FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort. BMC Musculoskelet Disord 13:204. https://​doi.​org/​10.​1186/​1471-2474-13-204 CrossRefPubMedPubMedCentral
21.
go back to reference Pasco JA, Nicholson GC, Kotowicz MA (2012) Cohort profile: Geelong osteoporosis study. Int J Epidemiol 41:1565–1575CrossRefPubMed Pasco JA, Nicholson GC, Kotowicz MA (2012) Cohort profile: Geelong osteoporosis study. Int J Epidemiol 41:1565–1575CrossRefPubMed
22.
go back to reference Pasco JA, Nicholson GC, Henry MJ et al (1999) Identification of incident fractures: the Geelong osteoporosis study. Aust NZ J Med 29:203–206CrossRef Pasco JA, Nicholson GC, Henry MJ et al (1999) Identification of incident fractures: the Geelong osteoporosis study. Aust NZ J Med 29:203–206CrossRef
24.
go back to reference Giles GG, Ireland PD (1996) Dietary questionnaire for epidemiological studies (version 2). Melbourne, Cancer Counc Victoria Giles GG, Ireland PD (1996) Dietary questionnaire for epidemiological studies (version 2). Melbourne, Cancer Counc Victoria
25.
go back to reference Henry MJ, Pasco JA, Korn S, Gibson JE, Kotowicz MA, Nicholson GC (2010) Bone mineral density reference ranges for Australian men: Geelong osteoporosis study. Osteoporos Int 21:909–917CrossRefPubMed Henry MJ, Pasco JA, Korn S, Gibson JE, Kotowicz MA, Nicholson GC (2010) Bone mineral density reference ranges for Australian men: Geelong osteoporosis study. Osteoporos Int 21:909–917CrossRefPubMed
26.
go back to reference Henry MJ, Pasco JA, Pocock NA, Nicholson GC, Kotowicz MA (2004) Reference ranges for bone densitometers adopted Australia-wide: Geelong osteoporosis study. Australas Radiol 48:473–475CrossRefPubMed Henry MJ, Pasco JA, Pocock NA, Nicholson GC, Kotowicz MA (2004) Reference ranges for bone densitometers adopted Australia-wide: Geelong osteoporosis study. Australas Radiol 48:473–475CrossRefPubMed
28.
go back to reference DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed
30.
go back to reference Kanis JA, Hans D, Cooper C et al (2011) Interpretation and use of FRAX in clinical practice. Osteoporos Int 22:2395–2411CrossRefPubMed Kanis JA, Hans D, Cooper C et al (2011) Interpretation and use of FRAX in clinical practice. Osteoporos Int 22:2395–2411CrossRefPubMed
32.
go back to reference Cooley H, Jones G (2001) A population-based study of fracture incidence in southern Tasmania: lifetime fracture risk and evidence for geographic variations within the same country. Osteoporos Int 12:124–130CrossRefPubMed Cooley H, Jones G (2001) A population-based study of fracture incidence in southern Tasmania: lifetime fracture risk and evidence for geographic variations within the same country. Osteoporos Int 12:124–130CrossRefPubMed
33.
go back to reference Crandall CJ, Larson J, LaCroix A, Cauley JA, LeBoff MS, Li W, LeBlanc ES, Edwards BJ, Manson JAE, Ensrud K (2019) Predicting fracture risk in younger postmenopausal women: comparison of the Garvan and FRAX risk calculators in the Women’s health initiative study. J Gen Intern Med 34:235–242CrossRefPubMed Crandall CJ, Larson J, LaCroix A, Cauley JA, LeBoff MS, Li W, LeBlanc ES, Edwards BJ, Manson JAE, Ensrud K (2019) Predicting fracture risk in younger postmenopausal women: comparison of the Garvan and FRAX risk calculators in the Women’s health initiative study. J Gen Intern Med 34:235–242CrossRefPubMed
Metadata
Title
How well do the FRAX (Australia) and Garvan calculators predict incident fractures? Data from the Geelong Osteoporosis Study
Authors
K. L. Holloway-Kew
Y. Zhang
A. G. Betson
K. B. Anderson
D. Hans
N. K. Hyde
G. C. Nicholson
N. A. Pocock
M. A. Kotowicz
J. A. Pasco
Publication date
01-10-2019
Publisher
Springer London
Published in
Osteoporosis International / Issue 10/2019
Print ISSN: 0937-941X
Electronic ISSN: 1433-2965
DOI
https://doi.org/10.1007/s00198-019-05088-2

Other articles of this Issue 10/2019

Osteoporosis International 10/2019 Go to the issue