Skip to main content
Top
Published in: Osteoporosis International 1/2016

01-01-2016 | Original Article

Fracture prediction from repeat BMD measurements in clinical practice

Authors: W. D. Leslie, S. L. Brennan-Olsen, S. N. Morin, L. M. Lix

Published in: Osteoporosis International | Issue 1/2016

Login to get access

Abstract

Summary

We investigated whether repeat BMD measurements in clinical populations are useful for fracture risk assessment. We report that repeat BMD measurements are a robust predictor of fracture in clinical populations; this is not affected by preceding BMD change or recent osteoporosis therapy.

Introduction

In clinical practice, many patients selectively undergo repeat bone mineral density (BMD) measurements. We investigated whether repeat BMD measurements in clinical populations are useful for fracture risk assessment and whether this is affected by preceding change in BMD or recent osteoporosis therapy.

Methods

We identified women and men aged ≥50 years who had a BMD measurement during 1990–2009 from a large clinical BMD database for Manitoba, Canada (n = 50,215). Patient subgroups aged ≥50 years at baseline with repeat BMD measures were identified. Data were linked to an administrative data repository, from which osteoporosis therapy, fracture outcomes, and covariates were extracted. Using Cox proportional hazards models, we assessed covariate-adjusted risk for major osteoporotic fracture (MOF) and hip fracture according to BMD (total hip, lumbar spine, femoral neck) at different time points.

Results

Prevalence of osteoporosis therapy increased from 18 % at baseline to 55 % by the fourth measurement. Total hip BMD was predictive of MOF at each time point. In the patient subgroup with two repeat BMD measurements (n = 13,481), MOF prediction with the first and second measurements was similar: adjusted-hazard ratio (HR) per SD 1.45 (95 % CI 1.34–1.56) vs. 1.64 (95 % CI 1.48–1.81), respectively. No differences were seen when the second measurement results were stratified by preceding change in BMD or osteoporosis therapy (both p-interactions >0.2). Similar results were seen for hip fracture prediction and when spine and femoral neck BMD were analyzed.

Conclusion

Repeat BMD measurements are a robust predictor of fracture in clinical populations; this is not affected by preceding BMD change or recent osteoporosis therapy.
Appendix
Available only for authorised users
Literature
1.
go back to reference WHO (2007) Prevention and management of osteoporosis: report of a WHO scientific group. In: World Health Organisation Scientific Group on the prevention and management of osteoporosis WHO (2007) Prevention and management of osteoporosis: report of a WHO scientific group. In: World Health Organisation Scientific Group on the prevention and management of osteoporosis
2.
go back to reference WHO (2003) The burden of musculoskeletal conditions at the start of the new millennium. In: Geneva; World Health Organisation WHO (2003) The burden of musculoskeletal conditions at the start of the new millennium. In: Geneva; World Health Organisation
3.
go back to reference Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fracture. BMJ Open 312:1254–1259CrossRef Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fracture. BMJ Open 312:1254–1259CrossRef
4.
go back to reference Kanis JA, Oden A, Johansson H, Borgstrom F, Strom O, McCloskey E (2009) FRAX and its applications to clinical practice. Bone 44:734–743PubMedCrossRef Kanis JA, Oden A, Johansson H, Borgstrom F, Strom O, McCloskey E (2009) FRAX and its applications to clinical practice. Bone 44:734–743PubMedCrossRef
5.
go back to reference Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA (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 (2012) Does osteoporosis therapy invalidate FRAX for fracture prediction? J Bone Miner Res 27:1243–1251PubMedCrossRef
6.
go back to reference NOF (2014) 2014 clinician’s guide to prevention and treatment of osteoporosis. In: National Osteoporosis Foundation. NOF Accessed 17 October 2014 NOF (2014) 2014 clinician’s guide to prevention and treatment of osteoporosis. In: National Osteoporosis Foundation. NOF Accessed 17 October 2014
7.
8.
go back to reference Watts NB, Lewiecki EM, Bonnick SL, Laster AJ, Binkley N, Blank RD, Geusens PP, Miller PD, Petak SM, Recker RR, Saag KG, Schousboe J, Siris ES, Bilezikian JP (2009) Clinical value of monitoring BMD in patients treated with bisphosphonates for osteoporosis. J Bone Miner Res 24:1643–1646PubMedCrossRef Watts NB, Lewiecki EM, Bonnick SL, Laster AJ, Binkley N, Blank RD, Geusens PP, Miller PD, Petak SM, Recker RR, Saag KG, Schousboe J, Siris ES, Bilezikian JP (2009) Clinical value of monitoring BMD in patients treated with bisphosphonates for osteoporosis. J Bone Miner Res 24:1643–1646PubMedCrossRef
9.
go back to reference Berger C, Langsetmo L, Joseph L, Hanley DA, Davison KS, Josse RG, Prior JC, Kreiger N, Tenenhouse A, Goltzman D (2009) Association between change in BMD and fragility fracture in women and men. J Bone Miner Res 24:361–370PubMedCrossRef Berger C, Langsetmo L, Joseph L, Hanley DA, Davison KS, Josse RG, Prior JC, Kreiger N, Tenenhouse A, Goltzman D (2009) Association between change in BMD and fragility fracture in women and men. J Bone Miner Res 24:361–370PubMedCrossRef
10.
go back to reference Ahmed LA, Emaus N, Bernsten GK, Bjornerem A, Fonnebo V, Jorensen L, Schirmer H, Stormer J, Joakimsen RM (2010) Bone loss and the risk of non-vertebral fractures in women and men: the Tromso study. Osteoporos Int 21:1503–1511PubMedCrossRef Ahmed LA, Emaus N, Bernsten GK, Bjornerem A, Fonnebo V, Jorensen L, Schirmer H, Stormer J, Joakimsen RM (2010) Bone loss and the risk of non-vertebral fractures in women and men: the Tromso study. Osteoporos Int 21:1503–1511PubMedCrossRef
11.
go back to reference Hillier TA, Stone KL, Bauer DC, Rizzo JH, Pedula KL, Cauley JA, Ensrud KE, Hochberg MC, Cummings SR (2007) Evaluating the value of repeat bone mineral density measurement and prediction of fractures in older women: the study of osteoporotic fractures. Arch Intern Med 167:155–160PubMedCrossRef Hillier TA, Stone KL, Bauer DC, Rizzo JH, Pedula KL, Cauley JA, Ensrud KE, Hochberg MC, Cummings SR (2007) Evaluating the value of repeat bone mineral density measurement and prediction of fractures in older women: the study of osteoporotic fractures. Arch Intern Med 167:155–160PubMedCrossRef
12.
go back to reference Nguyen TV, Centre JR, Eisman JA (2005) Femoral neck bone loss predicts fracture risk independent of baseline BMD. J Bone Miner Res 20:1195–1201PubMedCrossRef Nguyen TV, Centre JR, Eisman JA (2005) Femoral neck bone loss predicts fracture risk independent of baseline BMD. J Bone Miner Res 20:1195–1201PubMedCrossRef
13.
go back to reference Leslie WD, Morin SN, Lix LM (2012) Rate of bone density change does not enhance fracture prediction in routine clinical practice. J Clin Endocrinol Metab 97:1211–1218PubMedCrossRef Leslie WD, Morin SN, Lix LM (2012) Rate of bone density change does not enhance fracture prediction in routine clinical practice. J Clin Endocrinol Metab 97:1211–1218PubMedCrossRef
14.
go back to reference Berry SD, Samelson EJ, Pencina MJ, McLean RR, Cupples A, Broe KE, Kiel DP (2013) Repeat bone mineral density screening and prediction of hip and major osteoporotic fracture. JAMA Intern Med 310:1256–1262 Berry SD, Samelson EJ, Pencina MJ, McLean RR, Cupples A, Broe KE, Kiel DP (2013) Repeat bone mineral density screening and prediction of hip and major osteoporotic fracture. JAMA Intern Med 310:1256–1262
15.
go back to reference Leslie WD, Tsang JF, Caetano PA, Lix LM, For the Manitoba Bone Density Program (2007) Effectiveness of bone density measurement for predicting osteoporotic fractures in clinical practice. J Clin Endocrinol Metab 92:77–81PubMedCrossRef Leslie WD, Tsang JF, Caetano PA, Lix LM, For the Manitoba Bone Density Program (2007) Effectiveness of bone density measurement for predicting osteoporotic fractures in clinical practice. J Clin Endocrinol Metab 92:77–81PubMedCrossRef
16.
go back to reference Lewiecki EM, Cummings SR, Cosman F (2012) Treat-to-target for osteoporosis: is now the time? J Clin Endocrinol Metab 98:946–953CrossRef Lewiecki EM, Cummings SR, Cosman F (2012) Treat-to-target for osteoporosis: is now the time? J Clin Endocrinol Metab 98:946–953CrossRef
17.
18.
go back to reference Leslie WD, Caetano PA, MacWilliam LR et al (2005) Construction and validation of a population-based bone densitometry database. J Clin Densitom 8:25–30PubMedCrossRef Leslie WD, Caetano PA, MacWilliam LR et al (2005) Construction and validation of a population-based bone densitometry database. J Clin Densitom 8:25–30PubMedCrossRef
19.
20.
go back to reference Roos NP, Shapiro E (1999) Revisiting the Manitoba Centre for Health Policy and Evaluation and its population-based health information system. Med Care 37:JS10–JS14PubMed Roos NP, Shapiro E (1999) Revisiting the Manitoba Centre for Health Policy and Evaluation and its population-based health information system. Med Care 37:JS10–JS14PubMed
21.
go back to reference Leslie WD, Metge C (2003) Establishing a regional bone density program: lessons from the Manitoba experience. J Clin Densitom 6:275–282PubMedCrossRef Leslie WD, Metge C (2003) Establishing a regional bone density program: lessons from the Manitoba experience. J Clin Densitom 6:275–282PubMedCrossRef
22.
go back to reference Gluer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genant HK (1995) Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int 5:262–270PubMedCrossRef Gluer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genant HK (1995) Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int 5:262–270PubMedCrossRef
23.
go back to reference Shepherd JA, Lu Y, Wilson K, Fuerst T, Genant H, Hangartner TN, Wilson C, Hans D, Leib ES (2006) Cross-calibration and minimum precision standards for duak-energy X-ray absorptiometry: the 2005 ISCD Official Positions. J Clin Densitom 9:31–36PubMedCrossRef Shepherd JA, Lu Y, Wilson K, Fuerst T, Genant H, Hangartner TN, Wilson C, Hans D, Leib ES (2006) Cross-calibration and minimum precision standards for duak-energy X-ray absorptiometry: the 2005 ISCD Official Positions. J Clin Densitom 9:31–36PubMedCrossRef
24.
go back to reference Leslie WD (2008) Factors affecting short-term bone density precision assessment and the effect on patient monitoring. J Bone Miner Res 23:199–204PubMedCrossRef Leslie WD (2008) Factors affecting short-term bone density precision assessment and the effect on patient monitoring. J Bone Miner Res 23:199–204PubMedCrossRef
25.
go back to reference Kozyrskyj AL, Mustard CA (1998) Validation of an electronic, population-based prescription database. Ann Pharmacother 32:1152–1157PubMedCrossRef Kozyrskyj AL, Mustard CA (1998) Validation of an electronic, population-based prescription database. Ann Pharmacother 32:1152–1157PubMedCrossRef
26.
go back to reference Hamilton R, Briceland L (1992) Use of prescription-refill records to assess patient compliance. Am J Hosp Pharm 46:1691–1696 Hamilton R, Briceland L (1992) Use of prescription-refill records to assess patient compliance. Am J Hosp Pharm 46:1691–1696
27.
go back to reference (2005) U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, and the Centers for Medicare and Medicaid Services; U.S. Department of Health and Human Services; Centers for Disease Control and Prevention; Centers for Medicare and Medicaid Services. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), Sixth Edition. Odum Institute V2 (2005) U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, and the Centers for Medicare and Medicaid Services; U.S. Department of Health and Human Services; Centers for Disease Control and Prevention; Centers for Medicare and Medicaid Services. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), Sixth Edition. Odum Institute V2
28.
go back to reference (2009) U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, and the Centers for Medicare and Medicaid Services; U.S. Department of Health and Human Services; Centers for Disease Control and Prevention; Centers for Medicare and Medicaid Services. International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Odum Institute V2 (2009) U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, and the Centers for Medicare and Medicaid Services; U.S. Department of Health and Human Services; Centers for Disease Control and Prevention; Centers for Medicare and Medicaid Services. International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Odum Institute V2
29.
go back to reference Lix LM, Azimaee M, Osman BA et al (2012) Osteoporosis-related fracture case definitions for population-based administrative data. BMC Public Health 12:301PubMedPubMedCentralCrossRef Lix LM, Azimaee M, Osman BA et al (2012) Osteoporosis-related fracture case definitions for population-based administrative data. BMC Public Health 12:301PubMedPubMedCentralCrossRef
30.
go back to reference Brennan SL, Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA (2014) FRAX provides robust fracture prediction regardless of socioeconomic status. Osteoporos Int 25:61–69PubMedCrossRef Brennan SL, Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA (2014) FRAX provides robust fracture prediction regardless of socioeconomic status. Osteoporos Int 25:61–69PubMedCrossRef
31.
go back to reference Brennan SL, Leslie WD, Lix LM (2014) Is lower income associated with an increased likelihood of qualification for treatment for osteoporosis in Canadian women? Osteoporos Int 25:273–279PubMedCrossRef Brennan SL, Leslie WD, Lix LM (2014) Is lower income associated with an increased likelihood of qualification for treatment for osteoporosis in Canadian women? Osteoporos Int 25:273–279PubMedCrossRef
32.
go back to reference Fraser LA, Langsetmo L, Berge C, Ionnidis G, Gotzman D, Adachi JD, Papaoiannou A, Josse R, Kovacs CS, Olszynski WP, Towheed T, Hanley DA, Kaiser SM, Prior J, Jamal S, Kreiger N, Brown JP, Johansson H, Oden A, McCloskey E, Kanis JA, Leslie WD, CaMOS Research Group (2011) Fracture prediction and calibration of a Canadian FRAX tool: a population-based report from CaMOS. Osteoporos Int 22:829–837PubMedCrossRef Fraser LA, Langsetmo L, Berge C, Ionnidis G, Gotzman D, Adachi JD, Papaoiannou A, Josse R, Kovacs CS, Olszynski WP, Towheed T, Hanley DA, Kaiser SM, Prior J, Jamal S, Kreiger N, Brown JP, Johansson H, Oden A, McCloskey E, Kanis JA, Leslie WD, CaMOS Research Group (2011) Fracture prediction and calibration of a Canadian FRAX tool: a population-based report from CaMOS. Osteoporos Int 22:829–837PubMedCrossRef
33.
go back to reference Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA, Manitoba Bone Density Program (2010) Independent clinical validation of a Canadian FRAX tool: fracture prediction and model calibration. J Bone Miner Res 25:2350–2358PubMedCrossRef Leslie WD, Lix LM, Johansson H, Oden A, McCloskey E, Kanis JA, Manitoba Bone Density Program (2010) Independent clinical validation of a Canadian FRAX tool: fracture prediction and model calibration. J Bone Miner Res 25:2350–2358PubMedCrossRef
34.
go back to reference Leslie WD, Lix LM, Tsang JF, Caetano PA (2007) Single-site vs. multisite bone density measurement for fracture prediction. Arch Intern Med 167:1641–1647PubMedCrossRef Leslie WD, Lix LM, Tsang JF, Caetano PA (2007) Single-site vs. multisite bone density measurement for fracture prediction. Arch Intern Med 167:1641–1647PubMedCrossRef
35.
go back to reference Gourlay ML, Fine JP, Preisser JS, May RC, Li C, Lui LY, Ransohoff DF, Cauley JA, Ensrud KE, Study of Osteoporotic Fractures Research Group (2012) Bone-density testing interval and transition to osteoporosis in older women. N Engl J Med 366:225–233PubMedPubMedCentralCrossRef Gourlay ML, Fine JP, Preisser JS, May RC, Li C, Lui LY, Ransohoff DF, Cauley JA, Ensrud KE, Study of Osteoporotic Fractures Research Group (2012) Bone-density testing interval and transition to osteoporosis in older women. N Engl J Med 366:225–233PubMedPubMedCentralCrossRef
36.
go back to reference Kanis JA, McCloskey E, Branco J, Brandi M-L, Dennison E, Devogelaer J-P, Ferrari S, Kaufman J-M, Papapoulos S, Reginster J-Y, Rizzoli R (2014) Goal-directed treatment of osteoporosis in Europe. Osteoporos Int 25:2533–2543PubMedCrossRef Kanis JA, McCloskey E, Branco J, Brandi M-L, Dennison E, Devogelaer J-P, Ferrari S, Kaufman J-M, Papapoulos S, Reginster J-Y, Rizzoli R (2014) Goal-directed treatment of osteoporosis in Europe. Osteoporos Int 25:2533–2543PubMedCrossRef
37.
go back to reference Leslie WD, Majumdar SR, Lix LM, Morin SN, Johansson H, Oden A, McCloskey EV, Kanis JA (2014) Can change in FRAX score be used to “treat-to-target”? A population-based cohort study. J Bone Miner Res 29:1074–1080PubMedCrossRef Leslie WD, Majumdar SR, Lix LM, Morin SN, Johansson H, Oden A, McCloskey EV, Kanis JA (2014) Can change in FRAX score be used to “treat-to-target”? A population-based cohort study. J Bone Miner Res 29:1074–1080PubMedCrossRef
38.
go back to reference Yu EW, Finkelstein JS (2012) Bone density screening intervals for osteoporosis: one size does not fit all. JAMA 307:2591–2592PubMedCrossRef Yu EW, Finkelstein JS (2012) Bone density screening intervals for osteoporosis: one size does not fit all. JAMA 307:2591–2592PubMedCrossRef
Metadata
Title
Fracture prediction from repeat BMD measurements in clinical practice
Authors
W. D. Leslie
S. L. Brennan-Olsen
S. N. Morin
L. M. Lix
Publication date
01-01-2016
Publisher
Springer London
Published in
Osteoporosis International / Issue 1/2016
Print ISSN: 0937-941X
Electronic ISSN: 1433-2965
DOI
https://doi.org/10.1007/s00198-015-3259-y

Other articles of this Issue 1/2016

Osteoporosis International 1/2016 Go to the issue