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TBS 与 HR-pQCT 评估的骨小梁和皮质骨的骨密度和微观结构相关。

TBS correlates with bone density and microstructure at trabecular and cortical bone evaluated by HR-pQCT.

机构信息

Division of Endocrinology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil.

Division of Rheumatology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil.

出版信息

J Bone Miner Metab. 2024 May;42(3):352-360. doi: 10.1007/s00774-024-01508-4. Epub 2024 Apr 25.

DOI:10.1007/s00774-024-01508-4
PMID:38664255
Abstract

INTRODUCTION

Trabecular bone score (TBS) estimates bone microstructure, which is directly measured by high-resolution peripheral quantitative computed tomography (HRpQCT). We evaluated the correlation between these methods and TBS influence on fracture risk assessed by FRAX.

MATERIALS AND METHODS

We evaluated 129 individuals (82 women, 43 postmenopausal) 20 to 82.3 years without prevalent clinical or non-clinical morphometric vertebral fractures, using DXA (spine and hip), HR-pQCT at distal radius (R) and tibia (T) and TBS which classifies bone microarchitecture as normal (TBS ≥ 1.350), partially degraded (1.200 < TBS < 1.350), or degraded (TBS ≤ 1.200).

RESULTS

Spine and hip BMD and HR-pQCT parameters at cortical bone: area (T), density (R,T) thickness (T) and trabecular bone: density (R,T), number (T) and thickness (R) were significantly better in the 78 individuals with normal TBS (group 1) versus the 51 classified as partially degraded (n = 42) or degraded microarchitecture (n = 9) altogether (group 2). TBS values correlated with age (r = - 0.55), positively with spine and hip BMD and all cortical and trabecular bone density and microstructure parameters evaluated, p < 0.05 all tests. Binary logistic regression defined age (p = 0.008) and cortical thickness (p = 0.018) as main influences on TBS, while ANCOVA demonstrated that HR-pQCT data corrected for age were not different between TBS groups 1 and 2. TBS adjustment increased FRAX risk for major osteoporotic fractures and hip fractures.

CONCLUSION

We describe significant association between TBS and both trabecular and cortical bone parameters measured by HR-pQCT, consistent with TBS influence on fracture risk estimation by FRAX, including hip fractures, where cortical bone predominates.

摘要

简介

骨小梁评分(TBS)估计骨微观结构,这是通过高分辨率外周定量计算机断层扫描(HRpQCT)直接测量的。我们评估了这些方法之间的相关性以及 TBS 对通过 FRAX 评估的骨折风险的影响。

材料和方法

我们评估了 129 名年龄在 20 至 82.3 岁之间的个体(82 名女性,43 名绝经后),他们没有明显的临床或非临床形态学椎体骨折,使用 DXA(脊柱和髋部)、HR-pQCT 测量桡骨远端(R)和胫骨(T)和 TBS,TBS 将骨微观结构分类为正常(TBS≥1.350)、部分降解(1.200<TBS<1.350)或降解(TBS≤1.200)。

结果

在 78 名 TBS 正常的个体(第 1 组)中,脊柱和髋部 BMD 和 HR-pQCT 皮质骨参数:面积(T)、密度(R、T)、厚度(T)和小梁骨:密度(R、T)、数量(T)和厚度(R)均明显优于 51 名被归类为部分降解(n=42)或降解微观结构(n=9)的个体(第 2 组)。TBS 值与年龄呈负相关(r=-0.55),与脊柱和髋部 BMD 以及评估的所有皮质和小梁骨密度和微观结构参数呈正相关,p<0.05 所有测试。二元逻辑回归定义年龄(p=0.008)和皮质厚度(p=0.018)为 TBS 的主要影响因素,而协方差分析表明,校正年龄后的 HR-pQCT 数据在 TBS 组 1 和 2 之间没有差异。TBS 调整增加了 FRAX 对主要骨质疏松性骨折和髋部骨折的风险。

结论

我们描述了 TBS 与 HR-pQCT 测量的小梁和皮质骨参数之间的显著相关性,这与 TBS 对 FRAX 评估的骨折风险的影响一致,包括皮质骨占主导地位的髋部骨折。

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