Skip to main content

Advertisement

SpringerLink
Log in

The lumbar spine age-related degenerative disease influences the BMD not the TBS: the Osteolaus cohort

  • Original Article
  • Published:
Osteoporosis International Aims and scope Submit manuscript

Abstract

Summary

We evaluated the influence of degenerative disease and fractured vertebra on lumbar spine bone mineral density (BMD) and trabecular bone score (TBS) in 1500 women aged 50–80 years. TBS was not affected by a degenerative disease. While BMD increases after 62.5 years, TBS continues to decline. TBS should play a leading role in lumbar spine evaluation.

Introduction

After menopause, lumbar spine (LS) BMD and TBS values decrease. Degenerative disease (DD) increases with age and affect LS BMD. The aim of this study was to measure changes in LS BMD and TBS in women 50 to 80 years old, taking into account the impact of fractured vertebrae and DD.

Methods

LS BMD, TBS, and vertebral fracture assessment were evaluated in the OsteoLaus cohort (1500 women, 50–80 years old). The exams were analyzed following ISCD guidelines to identify vertebrae with fractures or DD (Vex).

Results

1443 women were enrolled: mean age 66.7 ± 11.7 years, BMI 25.7 ± 4.4. LS BMD and TBS were weakly correlated (r2 = 0.16). The correlation (Vex excluded) between age and BMD was +0.03, between age and TBS −0.34. According to age group, LS BMD was 1.2 to 3.2% higher before excluding Vex (p < 0.001). TBS had an insignificant change of <1% after excluding Vex. LS BMD (Vex) decreased by 4.6% between 52.5 and 62.5 years, and increased by 2.6% between 62.5 and 77.5 years. TBS (Vex excluded) values decreased steadily with age with an overall loss of 8.99% between 52.5 and 77.5 years. Spine TBS, femoral neck, and total hip BMD gradually decreased with age, reaching one SD between the oldest and youngest group.

Conclusions

TBS is not affected by DD. While BMD increases after 62.5 years, TBS continues to decline. For lumbar spine evaluation, in view of its independence from DD, TBS should play a leading role in the diagnosis in complement to BMD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1:

Similar content being viewed by others

References

  1. Kanis JA, Melton LJ 3rd, Christiansen C, Johnston CC, Khaltaev N (1994) The diagnosis of osteoporosis. J Bone Miner Res 9:1137–1141

    Article  PubMed  CAS  Google Scholar 

  2. Miller PD, Siris ES, Barrett-Connor E et al (2002) Prediction of fracture risk in postmenopausal white women with peripheral bone densitometry: evidence from the National Osteoporosis Risk Assessment. J Bone Miner Res 17:2222–2230

    Article  PubMed  Google Scholar 

  3. 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 19:385–397

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Pothuaud L, Barthe N, Krieg MA, Mehsen N, Carceller P, Hans D (2009) Evaluation of the potential use of trabecular bone score to complement bone mineral density in the diagnosis of osteoporosis: a preliminary spine bmd-matched, case-control study. J Clin Densitom 12:170–176

    Article  PubMed  Google Scholar 

  5. Roux JP, Wegrzyn J, Boutroy S, Bouxsein ML, Hans D, Chapurlat R (2013) The predictive value of trabecular bone score (TBS) on whole lumbar vertebrae mechanics: an ex vivo study. Osteoporos Int 24:2455–2460

    Article  PubMed  CAS  Google Scholar 

  6. Muschitz C, Kocijan R, Haschka J et al (2015) TBS reflects trabecular microarchitecture in premenopausal women and men with idiopathic osteoporosis and low-traumatic fractures. Bone 79:259–266

    Article  PubMed  Google Scholar 

  7. Silva BC, Leslie WD, Resch H et al (2014) Trabecular bone score: a noninvasive analytical method based upon the DXA image. J Bone Miner Res 29:518–530

    Article  PubMed  Google Scholar 

  8. Harvey NC, Glüer CC, Binkley N et al (2015) Trabecular bone score (TBS) as a new complementary approach for osteoporosis evaluation in clinical practice. Bone 78:216–224

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Leslie WD, Johansson H, Kanis JA et al (2014) Lumbar spine texture enhances 10-year fracture probability assessment. Osteoporos Int 25:2271–2277

    Article  PubMed  CAS  Google Scholar 

  10. McCloskey EV, Odén A, Harvey NC et al (2016) A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX. J Bone Miner Res 31:940–948

    Article  PubMed  Google Scholar 

  11. Liu G, Peacock M, Eilam O, Dorulla G, Braunstein E, Johnston CC (1997) Effect of osteoarthritis in the lumbar spine and hip on bone mineral density and diagnosis of osteoporosis in elderly men and women. Osteoporos Int 7:564–569

    Article  PubMed  CAS  Google Scholar 

  12. Vogt MT, Rubin DA, San Valentin R et al (1999) Degenerative lumbar listhesis and bone mineral density in elderly women: the study of osteoporotic fractures. Spine (Phila Pa 1976) 24:2536–2541

    Article  CAS  Google Scholar 

  13. Kolta S, Briot K, Fechtenbaum J et al (2014) TBS result is not affected by lumbar spine osteoarthritis. Osteoporos Int 25:1759–1764

    Article  PubMed  CAS  Google Scholar 

  14. Dufour R, Winzenrieth R, Heraud A, Hans D, Mehsen N (2013) Generation and validation of a normative, age-specific reference curve for lumbar spine trabecular bone score (TBS) in French women. Osteoporos Int 24:2837–2846

    Article  PubMed  CAS  Google Scholar 

  15. Hans D, Downs RW Jr, Duboeuf F et al (2006) Skeletal sites for osteoporosis diagnosis: the 2005 ISCD Official Positions. J Clin Densitom 9:15–21

    Article  PubMed  Google Scholar 

  16. Firmann M, Mayor V, Marques Vidal P et al (2008) The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc Disord Mar 8:6. doi:10.1186/1471-2261-8-6

    Article  CAS  Google Scholar 

  17. Lamy O, Krieg M, Metzger M, Aubry-Rozier B, Stoll D, Hans D (2012) The OsteoLaus cohort study. Bone mineral density, micro-architecture estimation and vertebral fracture assessment extracted from a single DXA device in combination with clinical risk factors improve significantly the identification of women at high risk of fracture. Osteologie 2:77–82

    Google Scholar 

  18. Genant HK, Wu CY, van Kuijk C, Nevitt MC (1993) Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res 8:1137–1148

    Article  PubMed  CAS  Google Scholar 

  19. Rossouw JE, Anderson GL, Prentice RL et al (2002) Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the Women’s Health Initiative randomized controlled trial. JAMA 288:321–333

    Article  PubMed  CAS  Google Scholar 

  20. Haugen IK, Slatkowsky-Christensen B, Ørstavik R, Kvien TK (2007) Bone mineral density in patients with hand osteoarthritis compared to population controls and patients with rheumatoid arthritis. Ann Rheum Dis 66:1594–1598

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Ichchou L, Allali F, Rostom S et al (2010) Relationship between spine osteoarthritis, bone mineral density and bone turn over markers in postmenopausal women. BMC Womens Health 10:25. doi:10.1186/1472-6874-10-25

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Acknowledgements

This research could not have been possible without the generosity of the OsteoLaus Cohort participants and of the CoLaus initiators: Pr. Peter Vollenweider, Pr. Gérard Waeber, Pr. Martin Preisig, and Pr. Vincent Moser.

Author information

Authors and Affiliations

  1. Center of Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland

    I. Padlina, E. Gonzalez-Rodriguez, D. Hans, M. Metzger, D. Stoll, B. Aubry-Rozier & O. Lamy

  2. Service of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, Lausanne, Switzerland

    E. Gonzalez-Rodriguez

  3. Service of Internal Medicine, Lausanne University Hospital, 1011, Lausanne, Switzerland

    O. Lamy

Authors
  1. I. Padlina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. E. Gonzalez-Rodriguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. Hans
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. Metzger
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. D. Stoll
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. B. Aubry-Rozier
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. O. Lamy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to O. Lamy.

Ethics declarations

Conflicts of interest

Didier Hans is co-owner of the TBS patent and has corresponding ownership shares. The corresponding author ensures that none of the other authors has any conflicts of interest.

Additional information

Elena Gonzalez-Rodriguez and Ivan Padlina equivalently share the first authorship position.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Padlina, I., Gonzalez-Rodriguez, E., Hans, D. et al. The lumbar spine age-related degenerative disease influences the BMD not the TBS: the Osteolaus cohort. Osteoporos Int 28, 909–915 (2017). https://doi.org/10.1007/s00198-016-3829-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-016-3829-7

Keywords

Search

Navigation