Literature DB >> 36115888

Updated trabecular bone score accounting for the soft tissue thickness (TBSTT) demonstrated significantly improved bone microstructure with denosumab in the FREEDOM TBS post hoc analysis.

Didier Hans1, Enisa Shevroja2, Michele McDermott3, Shuang Huang3, Min Kim3, Michael McClung4,5.   

Abstract

TBS algorithm has been updated to account for regional soft tissue noise. In postmenopausal women with osteoporosis, denosumab improved tissue thickness-adjusted TBS vs placebo independently of bone mineral density over 3 years, with the magnitude of changes from baseline or placebo numerically greater than body mass index-adjusted TBS.
INTRODUCTION: To evaluate the effect of denosumab on bone microarchitecture assessed by trabecular bone score (TBS) in the FREEDOM study using the updated algorithm that accounts for regional soft tissue thickness (TBSTT) in dual-energy X-ray absorptiometry (DXA) images and to compare percent changes from baseline and placebo with classical body mass index (BMI)-adjusted TBS (TBSBMI).
METHODS: Postmenopausal women with lumbar spine or total hip bone mineral density (BMD) T score <  - 2.5 and ≥  - 4.0 received placebo or denosumab 60 mg subcutaneously every 6 months. TBSBMI and TBSTT were assessed on lumbar spine DXA scans at baseline and months 1, 12, 24, and 36 in a subset of 279 women (129 placebo, 150 denosumab) who completed the 3-year FREEDOM DXA substudy and rolled over to open-label extension study.
RESULTS: Baseline characteristics were similar between groups. TBSTT in the denosumab group showed numerically greater changes from both baseline and placebo than TBSBMI at months 12, 24, and 36. Denosumab led to progressive increases in BMD (1.2, 5.6, 8.1, and 10.5%) and TBSTT (0.4, 2.3, 2.6, and 3.3%) from baseline to months 1, 12, 24, and 36, respectively. Both TBS changes were significant vs baseline and placebo from months 12 to 36 (p < 0.0001). As expected, BMD and TBSTT were poorly correlated both at baseline and for changes during treatment.
CONCLUSION: In postmenopausal women with osteoporosis, denosumab significantly improved bone microstructure assessed by TBSTT over 3 years. TBSTT seemed more responsive to denosumab treatment than TBSBMI and was independent of BMD.
© 2022. The Author(s).

Entities:  

Keywords:  Bone mineral density (BMD); Denosumab; Osteoporosis; Postmenopausal women; Soft tissue thickness; Trabecular bone score (TBS)

Year:  2022        PMID: 36115888     DOI: 10.1007/s00198-022-06549-x

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   5.071


  30 in total

1.  Fracture Risk Prediction by Non-BMD DXA Measures: the 2015 ISCD Official Positions Part 2: Trabecular Bone Score.

Authors:  Barbara C Silva; Susan B Broy; Stephanie Boutroy; John T Schousboe; John A Shepherd; William D Leslie
Journal:  J Clin Densitom       Date:  2015 Jul-Sep       Impact factor: 2.617

2.  Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study.

Authors:  Didier Hans; Andrew L Goertzen; Marc-Antoine Krieg; William D Leslie
Journal:  J Bone Miner Res       Date:  2011-11       Impact factor: 6.741

3.  A retrospective case-control study assessing the role of trabecular bone score in postmenopausal Caucasian women with osteopenia: analyzing the odds of vertebral fracture.

Authors:  Renaud Winzenrieth; Rémy Dufour; Laurent Pothuaud; Didier Hans
Journal:  Calcif Tissue Int       Date:  2009-12-09       Impact factor: 4.333

4.  TBS reflects trabecular microarchitecture in premenopausal women and men with idiopathic osteoporosis and low-traumatic fractures.

Authors:  Christian Muschitz; Roland Kocijan; Judith Haschka; Dieter Pahr; Alexandra Kaider; Peter Pietschmann; Didier Hans; Gabriela Katharina Muschitz; Astrid Fahrleitner-Pammer; Heinrich Resch
Journal:  Bone       Date:  2015-06-16       Impact factor: 4.398

5.  Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study.

Authors:  S C E Schuit; M van der Klift; A E A M Weel; C E D H de Laet; H Burger; E Seeman; A Hofman; A G Uitterlinden; J P T M van Leeuwen; H A P Pols
Journal:  Bone       Date:  2004-01       Impact factor: 4.398

6.  BMD at multiple sites and risk of fracture of multiple types: long-term results from the Study of Osteoporotic Fractures.

Authors:  Katie L Stone; Dana G Seeley; Li-Yung Lui; Jane A Cauley; Kristine Ensrud; Warren S Browner; Michael C Nevitt; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2003-11       Impact factor: 6.741

7.  Bone mineral density thresholds for pharmacological intervention to prevent fractures.

Authors:  Ethel S Siris; Ya-Ting Chen; Thomas A Abbott; Elizabeth Barrett-Connor; Paul D Miller; Lois E Wehren; Marc L Berger
Journal:  Arch Intern Med       Date:  2004-05-24

8.  Low bone mineral density and fracture burden in postmenopausal women.

Authors:  Ann Cranney; Sophie A Jamal; James F Tsang; Robert G Josse; William D Leslie
Journal:  CMAJ       Date:  2007-09-11       Impact factor: 8.262

9.  Guidelines for the management of osteoporosis and fragility fractures.

Authors:  Ranuccio Nuti; Maria Luisa Brandi; Giovanni Checchia; Ombretta Di Munno; Ligia Dominguez; Paolo Falaschi; Carmelo Erio Fiore; Giovanni Iolascon; Stefania Maggi; Raffaella Michieli; Silvia Migliaccio; Salvatore Minisola; Maurizio Rossini; Giuseppe Sessa; Umberto Tarantino; Antonella Toselli; Giovanni Carlo Isaia
Journal:  Intern Emerg Med       Date:  2018-06-13       Impact factor: 3.397

Review 10.  Trabecular bone score: a noninvasive analytical method based upon the DXA image.

Authors:  Barbara C Silva; William D Leslie; Heinrich Resch; Olivier Lamy; Olga Lesnyak; Neil Binkley; Eugene V McCloskey; John A Kanis; John P Bilezikian
Journal:  J Bone Miner Res       Date:  2014-03       Impact factor: 6.741

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