Clinical Performance of the Updated Trabecular Bone Score (TBS) Algorithm, Which Accounts for the Soft Tissue Thickness: The OsteoLaus Study.
Détails
ID Serval
serval:BIB_F1454B86714A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Clinical Performance of the Updated Trabecular Bone Score (TBS) Algorithm, Which Accounts for the Soft Tissue Thickness: The OsteoLaus Study.
Périodique
Journal of bone and mineral research
ISSN
1523-4681 (Electronic)
ISSN-L
0884-0431
Statut éditorial
Publié
Date de publication
12/2019
Peer-reviewed
Oui
Volume
34
Numéro
12
Pages
2229-2237
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
Regional soft tissue may have a noise effect on trabecular bone score (TBS) and eventually alter its estimate. The current TBS software (TBS iNsight®) is based on an algorithm accounting for body mass index (BMI) (TBS <sub>v3.03</sub> ). We aimed to explore the updated TBS algorithm that accounts for soft tissue thickness (TBS <sub>v4.0</sub> ). This study was embedded in the OsteoLaus cohort of women in Lausanne, Switzerland. Hip and lumbar spine (LS) dual-energy X-ray absorptiometry (DXA) scans were performed using Discovery A System (Hologic). The incident major osteoporotic fractures (MOFs) were assessed from vertebral fracture assessments using Genant's method (vertebral MOF) or questionnaires (nonvertebral MOF). We assessed the correlations of bone mineral density (BMD) or TBS with body composition parameters; MOF prediction ability of both versions of TBS; and the differences between Fracture Risk Assessment Tool (FRAX) adjusted for TBS <sub>v3.03</sub> or TBS <sub>v4.0</sub> . In total, 1362 women with mean ± SD age 64.4 ± 7.5 years and mean ± SD BMI 25.9 ± 4.5 kg/m <sup>2</sup> were followed for 4.4 years and 132 experienced an MOF. All the anthropometric measurements of our interest were positively correlated with LS, femoral neck, or hip BMD and TBS <sub>v4.0</sub> ; whereas with TBS <sub>v3.03</sub> their correlations were negative. In the models adjusted for age, soft tissue thickness, osteoporotic treatment, and LS-BMD, for each SD decline in TBS <sub>v3.03</sub> , there was a 43% (OR 1.43; 95% CI, 1.12 to 1.83) increase in the odds of having MOF; whereas for each SD decline in TBS <sub>v4.0</sub> , there was a 54% (OR 1.54; 95% CI, 1.18 to 2.00) increase in the odds of having an MOF. Both FRAXs were very strongly correlated and the mild differences were present in the already high-risk women for MOF. This study shows that TBS <sub>v4.0</sub> overcomes the debatable residual negative correlation of the current TBS with body size and composition parameters, postulating itself as free from the previously acknowledged technical limitation of TBS. © 2019 American Society for Bone and Mineral Research.
Mots-clé
DXA, fracture prevention, fracture risk assessment, menopause, osteoporosis, FRACTURE PREVENTION, FRACTURE RISK ASSESSMENT, MENOPAUSE, OSTEOPOROSIS
Pubmed
Web of science
Création de la notice
11/09/2019 15:00
Dernière modification de la notice
01/10/2020 6:25