The fracture predictive ability of lumbar spine BMD and TBS as calculated based on different combinations of the lumbar spine vertebrae,Archives of Osteoporosis

当前位置： X-MOL 学术 › Arch. Osteoporos. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

The fracture predictive ability of lumbar spine BMD and TBS as calculated based on different combinations of the lumbar spine vertebrae
Archives of Osteoporosis ( IF 3.1 ) Pub Date : 2022-06-09 , DOI: 10.1007/s11657-022-01123-8
Enisa Shevroja ₁ , François Mo Costabella ₁ , Elena Gonzalez Rodriguez ₁ , Olivier Lamy ₁ , Didier Hans ₁

Affiliation

Summary

Lumbar spine bone mineral density (BMD) and trabecular bone score (TBS) are both calculated on L1-L4 vertebrae. This study investigated the ability to predict osteoporotic fractures of BMD and TBS as calculated based on all possible adjacent L1-L4 vertebrae combinations. Present findings indicate that L1-L3 is an optimal combination to calculate LS-BMD or TBS.

Introduction

Lumbar spine (LS) BMD and TBS are both assessed in the LS DXA scans in the same region of interest, L1-L4. We aimed to investigate the ability to predict osteoporotic fractures of all the possible adjacent LS vertebrae combinations used to calculate BMD and TBS and to evaluate if any of these combinations performs better at osteoporotic fracture prediction than the traditional L1-L4 combination.

Methods

This study was embedded in OsteoLaus-women cohort in Switzerland. LS-DXA scans were performed using Discovery A System (Hologic). The incident vertebral fractures (VFs) and major osteoporotic fractures (MOFs) were assessed from VF assessments using Genant’s method or questionnaires (non-VF MOF). We ran logistic models using TBS and BMD to predict MOF, VF, and non-VF MOF, combining different adjustment factors (age, fracture level, or BMD).

Results

One thousand six hundred thirty-two women (mean ± SD) 64.4 ± 7.5 years, BMI 25.9 ± 4.5 kg/m², were followed for 4.4 years and 133 experienced MOF. The association of one SD decrease L1-L3 BMD with the odds ratios (ORs) of MOF was OR 1.32 (95%CI 1.15–1.53), L2-L4 BMD was 1.25 (95%CI 1.09–1.42), and L1-L4 BMD was 1.30 (95%CI 1.14–1.48). One SD decrease in L1-L3 TBS was more strongly associated with the odds of having a MOF (OR 1.64, 95% CI 1.34–2.00), than one SD decrease in L2-L4 TBS (OR 1.48, 95% CI 1.21–1.81), or in L1-L4 TBS (OR 1.60, CI 95% 1.32–1.95).

Conclusion

Current findings indicate that L1-L3 is an optimal combination for the TBS or LS-BMD calculation.

中文翻译：

基于不同腰椎椎体组合计算的腰椎BMD和TBS预测骨折的能力

概括

腰椎骨矿物质密度 (BMD) 和骨小梁评分 (TBS) 均在 L1-L4 椎骨上计算。本研究调查了根据所有可能的相邻 L1-L4 椎骨组合计算的 BMD 和 TBS 预测骨质疏松性骨折的能力。目前的研究结果表明，L1-L3 是计算 LS-BMD 或 TBS 的最佳组合。

介绍

腰椎 (LS) BMD 和 TBS 均在同一感兴趣区域 L1-L4 的 LS DXA 扫描中进行评估。我们旨在研究预测用于计算 BMD 和 TBS 的所有可能的相邻 LS 椎骨组合的骨质疏松性骨折的能力，并评估这些组合中的任何一种在骨质疏松性骨折预测方面是否比传统的 L1-L4 组合表现更好。

方法

这项研究嵌入了瑞士的 OsteoLaus 女性队列中。使用 Discovery A System (Hologic) 进行 LS-DXA 扫描。使用 Genant 的方法或问卷（非 VF MOF）从 VF 评估评估事件椎体骨折 (VFs) 和主要骨质疏松性骨折 (MOFs)。我们使用 TBS 和 BMD 运行逻辑模型来预测 MOF、VF 和非 VF MOF，并结合不同的调整因素（年龄、骨折程度或 BMD）。

结果

一千六百三十二名女性（平均值±标准差）64.4±7.5 岁，BMI 25.9±4.5 kg/m ²，随访 4.4 年，其中 133 名经历了 MOF。一个 SD 降低 L1-L3 BMD 与 MOF 比值比 (ORs) 的关联为 OR 1.32 (95%CI 1.15–1.53)，L2-L4 BMD 为 1.25 (95%CI 1.09–1.42)，L1-L4 BMD 为 1.30（95%CI 1.14–1.48）。L1-L3 TBS 的一个 SD 降低与患有 MOF 的几率（OR 1.64，95% CI 1.34-2.00）的相关性比 L2-L4 TBS 的一个 SD 降低（OR 1.48，95% CI 1.21-1.81）更强), 或 L1-L4 TBS (OR 1.60, CI 95% 1.32–1.95)。