Department of Hygiene and Public Health, Osaka Medical College, 2-7 Daigaku-Machi, Takatsuki, Osaka, 569-8686, Japan.
Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Japan.
J Bone Miner Metab. 2019 Jan;37(1):161-170. doi: 10.1007/s00774-018-0910-7. Epub 2018 Feb 21.
This study examined whether bone microarchitecture determined by Trabecular Bone Score (TBS) is associated with the risk of major osteoporotic fractures independent of FRAX in Japanese women. Participants included 1541 women aged ≥ 40 at baseline. Major osteoporotic fractures during a 10-year follow-up period were documented by the Japanese Population-based Osteoporosis Cohort Study. TBS and areal bone mineral density (aBMD) were calculated for the same spinal regions at baseline. To compare the predictive ability of FRAX model when used alone versus in combination with TBS, Akaike information criterion (AIC), the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated. We identified 67 events of major osteoporotic fractures. The skeletal sites of the first fracture event were as follows: hip (11), vertebrae (13), radius (42), and humerus (1). The model incorporating FRAX [1.35 (95% CI 1.09-1.67) for 1 standard deviation (SD) increase] with TBS [1.46 (95% CI 1.08-1.98) for 1 SD decrease] demonstrated better fit compared to a model consisting of FRAX alone (AIC 528.6 vs 532.7). NRI values for classification accuracy showed significant improvements in the FRAX and TBS model, as compared to FRAX alone [0.299 (95% CI 0.056-0.541)]. However, there were no significant differences in AUC or IDI between these models. The TBS score is associated with a risk of major osteoporotic fracture independent of FRAX score obtained with or without BMD values among Japanese women during a 10-year follow-up period.
本研究旨在探讨 TBS(Trabecular Bone Score)评估的骨微结构是否与 FRAX 评分独立相关,从而预测日本女性发生主要骨质疏松性骨折的风险。研究纳入了 1541 名基线年龄≥40 岁的女性。通过日本基于人群的骨质疏松队列研究,在 10 年的随访期间记录主要骨质疏松性骨折事件。在基线时,使用相同的脊柱区域计算 TBS 和面积骨密度(aBMD)。为了比较 FRAX 模型单独使用和与 TBS 联合使用时的预测能力,计算了 Akaike 信息准则(AIC)、受试者工作特征曲线下面积(AUC)、净重新分类改善(NRI)和综合判别改善(IDI)。我们共确定了 67 例主要骨质疏松性骨折事件。首次骨折事件的骨骼部位如下:髋部(11 例)、椎体(13 例)、桡骨(42 例)和肱骨(1 例)。与 FRAX 模型(FRAX 每增加 1 个标准差,风险比为 1.35[95%CI,1.09-1.67])相比,包含 FRAX 和 TBS 的模型(FRAX 每增加 1 个标准差,风险比为 1.46[95%CI,1.08-1.98])具有更好的拟合度(AIC 为 528.6 比 532.7)。与 FRAX 模型相比,分类准确性的 NRI 值在 FRAX 和 TBS 模型中显著提高[0.299(95%CI,0.056-0.541)]。然而,这些模型之间 AUC 或 IDI 没有显著差异。在日本女性 10 年随访期间,TBS 评分与 FRAX 评分(无论是否包含 BMD 值)独立相关,可预测主要骨质疏松性骨折的风险。