Bone Mineral Density and Trabecular Bone Score in Predicting Vertebral Fractures in Male Employees of the Electricity Generating Authority of Thailand
Author(s) -
Chaninart Sakulpisuti,
Chanika Sritara,
Arpakorn Kositwattanarerk,
Praman Fuangfa,
Chaiyawat Suppasilp,
Prin Vathesatogkit,
Dujrudee Matchariyakul,
Boonsong Ongphiphadhanakul,
Piyamitr Sritara
Publication year - 2022
Publication title -
journal of osteoporosis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 19
eISSN - 2090-8059
pISSN - 2042-0064
DOI - 10.1155/2022/6832166
Subject(s) - medicine , bone mineral , trabecular bone score , logistic regression , femoral neck , osteoporosis , confidence interval , asymptomatic , dentistry , physical therapy , quantitative computed tomography
Purpose. Osteoporotic VF is frequently asymptomatic and affects not only women but also men. Identifying patients at risk is essential for early management and prevention. BMD and the TBS are measurements of bone strength and trabecular microarchitecture, respectively. Their role in VF prediction in men is less well-studied. We determined the BMD and TBS predictive ability for osteoporotic VF in men. Methods. A total of 115 male participants of the Electricity Generating Authority of Thailand (EGAT) cohorts without a history of VF who completed the baseline BMD and TBS measurements in 2012 and a thoracolumbar spine radiograph in 2017 were recruited. The VF was assessed using the Genant semiquantitative method. Logistic regression analysis was performed to identify factors associated with the fracture. The area under the receiving operator curve (AUC) was analyzed to define VF predictive ability. Results. Forty subjects (34.78%) had VFs. The unadjusted relative risks (95% confidence interval) for VF for one standard deviation decrease in the TBS and low TBS were 1.319 (1.157–1.506) and 2.347 (1.496–3.682), respectively, and remained significant after BMD and age adjustment. For VF prediction, combined models had a greater AUC than models predicted from a single variable. The use of low TBS, femoral neck BMD, and age provided the best AUC (0.693). Conclusion. BMD and the TBS could predict osteoporotic VF in male EGAT employees. The use of both BMD and the TBS in the VF prediction process improved predictive ability.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom