Bone Mineral Density and Trabecular Bone Score in Predicting Vertebral Fractures in Male Employees of the Electricity Generating Authority of Thailand.

IF 1.1 Q3 ORTHOPEDICS Journal of Osteoporosis Pub Date : 2022-03-29 eCollection Date: 2022-01-01 DOI:10.1155/2022/6832166
Chaninart Sakulpisuti, Chanika Sritara, Arpakorn Kositwattanarerk, Praman Fuangfa, Chaiyawat Suppasilp, Prin Vathesatogkit, Dujrudee Matchariyakul, Boonsong Ongphiphadhanakul, Piyamitr Sritara
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Abstract

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.

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预测泰国发电局男性员工椎骨骨折的骨质密度和骨小梁评分。
目的:骨质疏松性 VF 经常无症状,不仅影响女性,也影响男性。识别高危患者对于早期管理和预防至关重要。BMD 和 TBS 分别测量骨强度和骨小梁微结构。对它们在男性 VF 预测中的作用研究较少。我们测定了 BMD 和 TBS 对男性骨质疏松性 VF 的预测能力:共招募了 115 名无 VF 病史的泰国发电局(EGAT)队列男性参与者,他们在 2012 年完成了基线 BMD 和 TBS 测量,并在 2017 年完成了胸腰椎 X 射线照相。VF 采用 Genant 半定量法进行评估。为确定与骨折相关的因素,进行了逻辑回归分析。分析了接收运算曲线下面积(AUC),以确定VF的预测能力:结果:40 名受试者(34.78%)发生了 VF。TBS和低TBS下降一个标准差的未调整VF相对风险(95%置信区间)分别为1.319(1.157-1.506)和2.347(1.496-3.682),经BMD和年龄调整后仍然显著。在 VF 预测方面,组合模型的 AUC 要高于单一变量预测的模型。使用低TBS、股骨颈BMD和年龄可提供最佳AUC(0.693):结论:股骨颈 BMD 和 TBS 可以预测 EGAT 男性员工的骨质疏松 VF。结论:BMD 和 TBS 可以预测东航男性员工的骨质疏松性 VF,在 VF 预测过程中同时使用 BMD 和 TBS 可以提高预测能力。
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
6
审稿时长
20 weeks
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