Skip to main content
Top
Published in: Clinical Rheumatology 7/2015

01-07-2015 | Original Article

FRAX fracture risk in women with a recent fracture of the distal forearm: agreement between assessments with and without bone mineral density and impact of measurement side in the individual patient

Authors: Emilie Lund Egsmose, Mette Birkvig, Thora Buhl, Ole Rintek Madsen

Published in: Clinical Rheumatology | Issue 7/2015

Login to get access

Abstract

The Fracture Risk Assessment Tool (FRAX) has been developed by the World Health Organization to evaluate the 10-year risk of a hip fracture and a major osteoporotic fracture. We examined the agreement between fracture risk calculated with and without femoral neck bone mineral density (BMD) in individual patients and the impact of BMD measurement side. Bilateral femoral neck BMD results obtained by dual-energy X-ray absorptiometry and clinical risk factor data from 140 women (age 66 ± 8 years) with a recent distal forearm fracture were used for FRAX analyses. Discrepancies between pairs of risk assessments were analysed by the Bland–Altman method. Agreement on the individual level was expressed as 95 % limits of agreement (LoA) and on the group level as the mean (or median) of intra-individual differences (the bias). The femoral neck T-score was −1.69 ± 0.87 (hip with lowest BMD value). The risk of a major fracture and a hip fracture based on the lowest femoral neck BMD value was 23.8 ± 21.4 % and 7.6 ± 8.3 %, respectively. For major fracture risk assessed without versus with the lowest BMD value, lower and upper LoA were −12.3 and 21.1 percentage points (pp) (bias 4.4 pp, p < 0.0001). The corresponding LoA for hip fracture risk were −11.6 and18.6 pp (bias 3.5 pp, p < 0.0001). LoA for major fracture risk assessed with the lowest versus the highest BMD value were 0.0 and 9.5 pp (bias 2.0, p < 0.0001), and correspondingly for hip fracture risk 0.0 and 9.5 pp (bias 1.0 pp, p < 0.0001). Intra-individual differences increased with increasing fracture risk. In conclusion, the 10-year fracture risk calculated without BMD was on the average slightly overestimated compared to calculations with BMD. On the individual patient level differences between fracture risk assessments with and without BMD were pronounced. The side of BMD measurement may also significantly influence the risk assessment result in individual patients.
Literature
1.
go back to reference Johnell O, Kanis JA (2006) An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 17:1726–1733PubMedCrossRef Johnell O, Kanis JA (2006) An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 17:1726–1733PubMedCrossRef
2.
go back to reference World Health Organization (1994) Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Technical Report Series, vol. 843. Geneva: WHO World Health Organization (1994) Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Technical Report Series, vol. 843. Geneva: WHO
3.
go back to reference Kanis JA, Burlet N, Cooper C, Delmas PD, Reginster JY, Borgstrom F et al (2008) European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int 19:399–428PubMedCentralPubMedCrossRef Kanis JA, Burlet N, Cooper C, Delmas PD, Reginster JY, Borgstrom F et al (2008) European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int 19:399–428PubMedCentralPubMedCrossRef
4.
go back to reference Kanis JA, Johnell O, Oden A, Johansson H, McCloskey E (2008) FRAX and the assessment of fracture probability in men and women from the UK. Osteoporos Int 19:385–397PubMedCentralPubMedCrossRef Kanis JA, Johnell O, Oden A, Johansson H, McCloskey E (2008) FRAX and the assessment of fracture probability in men and women from the UK. Osteoporos Int 19:385–397PubMedCentralPubMedCrossRef
6.
go back to reference Kanis JA, Oden A, Johnell O, Johansson H, De Laet C, Brown J et al (2007) The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women. Osteoporos Int 18:1033–1046PubMedCrossRef Kanis JA, Oden A, Johnell O, Johansson H, De Laet C, Brown J et al (2007) The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women. Osteoporos Int 18:1033–1046PubMedCrossRef
7.
go back to reference Kanis JA, Johnell O, De Laet C, Jonsson B, Oden A, Ogelsby AK (2002) International variations in hip fracture probabilities: implications for risk assessment. J Bone Miner Res 17:1237–1244PubMedCrossRef Kanis JA, Johnell O, De Laet C, Jonsson B, Oden A, Ogelsby AK (2002) International variations in hip fracture probabilities: implications for risk assessment. J Bone Miner Res 17:1237–1244PubMedCrossRef
8.
go back to reference Kanis JA, McCloskey E, Johansson H, Oden A, Leslie WD (2002) FRAX® with and without bone mineral density. Calcif Tissue Int 90:1–13CrossRef Kanis JA, McCloskey E, Johansson H, Oden A, Leslie WD (2002) FRAX® with and without bone mineral density. Calcif Tissue Int 90:1–13CrossRef
9.
go back to reference Ettinger B, Ensrud KE, Blackwell T, Curtis JR, Lapidus JA, Orwoll ES (2013) Performance of FRAX in a cohort of community-dwelling, ambulatory older men: the Osteoporotic Fractures in Men (MrOS) study. For the Osteoporotic Fracture in Men (MrOS) Study Research Group. Osteoporos Int 24:1185–1193PubMedCentralPubMedCrossRef Ettinger B, Ensrud KE, Blackwell T, Curtis JR, Lapidus JA, Orwoll ES (2013) Performance of FRAX in a cohort of community-dwelling, ambulatory older men: the Osteoporotic Fractures in Men (MrOS) study. For the Osteoporotic Fracture in Men (MrOS) Study Research Group. Osteoporos Int 24:1185–1193PubMedCentralPubMedCrossRef
10.
go back to reference Hamdy RC, Kiebzak GM (2009) Variance in 10-year fracture risk calculated with and without T-scores in select subgroups of normal and osteoporotic patients. J Clin Densitom 12:158–161PubMedCrossRef Hamdy RC, Kiebzak GM (2009) Variance in 10-year fracture risk calculated with and without T-scores in select subgroups of normal and osteoporotic patients. J Clin Densitom 12:158–161PubMedCrossRef
11.
go back to reference Ilias I, Spanoudi F, Koukkou E, Nikopoulou SC (2012) Use of the FRAX calculator with and without bone mineral density in Greek women. Hormones (Athens) 11:222–223CrossRef Ilias I, Spanoudi F, Koukkou E, Nikopoulou SC (2012) Use of the FRAX calculator with and without bone mineral density in Greek women. Hormones (Athens) 11:222–223CrossRef
12.
go back to reference Olmez Sarikaya N, Kapar Yavasi S, Tan G, Satiroglu S, Yildiz AH, Oz B, Yoleri O, Memis A (2014) Agreement between FRAX scores calculated with and without bone mineral density in women with osteopenia in Turkey. Clin Rheumatol Jan 29 [Epub ahead of print] Olmez Sarikaya N, Kapar Yavasi S, Tan G, Satiroglu S, Yildiz AH, Oz B, Yoleri O, Memis A (2014) Agreement between FRAX scores calculated with and without bone mineral density in women with osteopenia in Turkey. Clin Rheumatol Jan 29 [Epub ahead of print]
13.
go back to reference Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310PubMedCrossRef Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310PubMedCrossRef
14.
go back to reference Heegaard C, Dreyer L, Egsmose C, Madsen OR (2013) Test–retest reliability of the Disease Activity Score 28 CRP (DAS28-CRP), the Simplified Disease Activity Index (SDAI) and the Clinical Disease Activity Index (CDAI) in rheumatoid arthritis when based on patient self-assessment of tender and swollen joints. Clin Rheumatol 32:1493–1500PubMedCrossRef Heegaard C, Dreyer L, Egsmose C, Madsen OR (2013) Test–retest reliability of the Disease Activity Score 28 CRP (DAS28-CRP), the Simplified Disease Activity Index (SDAI) and the Clinical Disease Activity Index (CDAI) in rheumatoid arthritis when based on patient self-assessment of tender and swollen joints. Clin Rheumatol 32:1493–1500PubMedCrossRef
16.
go back to reference Uhlig T, Kvien TK, Pincus T (2009) Test–retest reliability of disease activity core set measures and indices in rheumatoid arthritis. Ann Rheum Dis 68:972–975PubMedCrossRef Uhlig T, Kvien TK, Pincus T (2009) Test–retest reliability of disease activity core set measures and indices in rheumatoid arthritis. Ann Rheum Dis 68:972–975PubMedCrossRef
17.
go back to reference Barraclough KA, Isbel NM, McWhinney BC, Ungerer JP, Medley G, Johnson DW et al (2011) Evaluation of limited sampling strategies for total and free prednisolone in adult kidney transplant recipients. Eur J Clin Pharmacol 67:1243–1252PubMedCrossRef Barraclough KA, Isbel NM, McWhinney BC, Ungerer JP, Medley G, Johnson DW et al (2011) Evaluation of limited sampling strategies for total and free prednisolone in adult kidney transplant recipients. Eur J Clin Pharmacol 67:1243–1252PubMedCrossRef
18.
go back to reference Dunniway DL, Camune B, Baldwin K, Crane JK (2012) FRAX® counseling for bone health behavior change in women 50 years of age and older. J Am Acad Nurse Pract 24:382–389PubMedCrossRef Dunniway DL, Camune B, Baldwin K, Crane JK (2012) FRAX® counseling for bone health behavior change in women 50 years of age and older. J Am Acad Nurse Pract 24:382–389PubMedCrossRef
19.
go back to reference Dawson-Hughes B, Tosteson ANA, Melton LJ III, Baim S, Favus MJ, Khosla S et al (2008) Implications of absolute fracture risk assessment for osteoporosis practice guidelines in the USA. Osteoporos Int 19:449–458PubMedCrossRef Dawson-Hughes B, Tosteson ANA, Melton LJ III, Baim S, Favus MJ, Khosla S et al (2008) Implications of absolute fracture risk assessment for osteoporosis practice guidelines in the USA. Osteoporos Int 19:449–458PubMedCrossRef
20.
go back to reference Compston J, Bowring C, Cooper A, Cooper C, Davies C, Francis R et al (2013) Diagnosis and management of osteoporosis in postmenopausal women and older men in the UK: National Osteoporosis Guideline Group (NOGG) update 2013. Maturitas 75:392–396PubMedCrossRef Compston J, Bowring C, Cooper A, Cooper C, Davies C, Francis R et al (2013) Diagnosis and management of osteoporosis in postmenopausal women and older men in the UK: National Osteoporosis Guideline Group (NOGG) update 2013. Maturitas 75:392–396PubMedCrossRef
21.
go back to reference Berry SD, Kiel DP, Donaldson MG, Cummings SR, Kanis JA, Johansson H et al (2010) Application of the National Osteoporosis Foundation Guidelines to postmenopausal women and men: the Framingham Osteoporosis Study. Osteoporos Int 21:53–60PubMedCentralPubMedCrossRef Berry SD, Kiel DP, Donaldson MG, Cummings SR, Kanis JA, Johansson H et al (2010) Application of the National Osteoporosis Foundation Guidelines to postmenopausal women and men: the Framingham Osteoporosis Study. Osteoporos Int 21:53–60PubMedCentralPubMedCrossRef
23.
go back to reference Orimo H, Nakamura T, Hosoi T, Iki M, Uenishi K, Endo N et al (2012) Japanese 2011 guidelines for prevention and treatment of osteoporosis — executive summary. Arch Osteoporos 7:3–20PubMedCentralPubMedCrossRef Orimo H, Nakamura T, Hosoi T, Iki M, Uenishi K, Endo N et al (2012) Japanese 2011 guidelines for prevention and treatment of osteoporosis — executive summary. Arch Osteoporos 7:3–20PubMedCentralPubMedCrossRef
24.
go back to reference Briot K, Cortet B, Thomas T, Audran M, Blain H, Breuil V et al (2012) 2012 update of French guidelines for the pharmacological treatment of postmenopausal osteoporosis. Joint Bone Spine 79:304–313PubMedCrossRef Briot K, Cortet B, Thomas T, Audran M, Blain H, Breuil V et al (2012) 2012 update of French guidelines for the pharmacological treatment of postmenopausal osteoporosis. Joint Bone Spine 79:304–313PubMedCrossRef
25.
go back to reference Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA et al (2012) Does osteoporosis therapy invalidate FRAX for fracture prediction? J Bone Miner Res 27:1243–1251PubMedCrossRef Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA et al (2012) Does osteoporosis therapy invalidate FRAX for fracture prediction? J Bone Miner Res 27:1243–1251PubMedCrossRef
26.
go back to reference Øyen J, Gjesdal CG, Brudvik C, Hove LM, Apalset EM, Gulseth HC et al (2010) Low-energy distal radius fractures in middle-aged and elderly men and women — the burden of osteoporosis and fracture risk: a study of 1794 consecutive patients. Osteoporos Int 21:1257–1267PubMedCrossRef Øyen J, Gjesdal CG, Brudvik C, Hove LM, Apalset EM, Gulseth HC et al (2010) Low-energy distal radius fractures in middle-aged and elderly men and women — the burden of osteoporosis and fracture risk: a study of 1794 consecutive patients. Osteoporos Int 21:1257–1267PubMedCrossRef
27.
go back to reference McLellan AR, Gallacher SJ, Fraser M, McQuillian C (2003) The fracture liaison service: success of a program for the evaluation and management of patients with osteoporotic fracture. Osteoporos Int 14:1028–1034PubMedCrossRef McLellan AR, Gallacher SJ, Fraser M, McQuillian C (2003) The fracture liaison service: success of a program for the evaluation and management of patients with osteoporotic fracture. Osteoporos Int 14:1028–1034PubMedCrossRef
28.
go back to reference Bow CH, Tsang SWY, Loong CHN, Soong CSS, Yeung SC, Kung AWC (2011) Bone mineral density enhances use of clinical risk factors in predicting ten-year risk of osteoporotic fractures in Chinese men: the Hong Kong Osteoporosis Study. Osteoporos Int 22:2799–2807PubMedCentralPubMedCrossRef Bow CH, Tsang SWY, Loong CHN, Soong CSS, Yeung SC, Kung AWC (2011) Bone mineral density enhances use of clinical risk factors in predicting ten-year risk of osteoporotic fractures in Chinese men: the Hong Kong Osteoporosis Study. Osteoporos Int 22:2799–2807PubMedCentralPubMedCrossRef
29.
go back to reference Leslie WD, Morin S, Lix LM, Johansson H, Oden A, McCloskey E et al (2012) Fracture risk assessment without bone density measurement in routine clinical practice. Osteoporos Int 23:75–85PubMedCrossRef Leslie WD, Morin S, Lix LM, Johansson H, Oden A, McCloskey E et al (2012) Fracture risk assessment without bone density measurement in routine clinical practice. Osteoporos Int 23:75–85PubMedCrossRef
31.
go back to reference Madsen OR (2002) Reliability of muscle strength testing quantified by the intraclass correlation coefficient. Arch Phys Med Rehabil 83:582PubMedCrossRef Madsen OR (2002) Reliability of muscle strength testing quantified by the intraclass correlation coefficient. Arch Phys Med Rehabil 83:582PubMedCrossRef
32.
go back to reference Cole R, Larson J (2006) The effect of measurement of the contralateral hip if the spine is not included in the bone mineral density analysis. J Clin Densitom 9:210–216PubMedCrossRef Cole R, Larson J (2006) The effect of measurement of the contralateral hip if the spine is not included in the bone mineral density analysis. J Clin Densitom 9:210–216PubMedCrossRef
33.
go back to reference Mounach A, Rezqi A, Ghozlani I, Achemlal L, Bezza A, El Maghraoui A (2012) Prevalence and risk factors of discordance between left- and right-hip bone mineral density using DXA. ISRN Rheumatol 2012:617535PubMedCentralPubMedCrossRef Mounach A, Rezqi A, Ghozlani I, Achemlal L, Bezza A, El Maghraoui A (2012) Prevalence and risk factors of discordance between left- and right-hip bone mineral density using DXA. ISRN Rheumatol 2012:617535PubMedCentralPubMedCrossRef
Metadata
Title
FRAX fracture risk in women with a recent fracture of the distal forearm: agreement between assessments with and without bone mineral density and impact of measurement side in the individual patient
Authors
Emilie Lund Egsmose
Mette Birkvig
Thora Buhl
Ole Rintek Madsen
Publication date
01-07-2015
Publisher
Springer London
Published in
Clinical Rheumatology / Issue 7/2015
Print ISSN: 0770-3198
Electronic ISSN: 1434-9949
DOI
https://doi.org/10.1007/s10067-014-2640-0

Other articles of this Issue 7/2015

Clinical Rheumatology 7/2015 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.