Department of Geriatrics, CHU Brugmann, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Data Centre, Bordet Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Bone. 2021 Feb;143:115613. doi: 10.1016/j.bone.2020.115613. Epub 2020 Aug 29.
Areal bone mineral density (aBMD) has a low sensitivity to identify women at high fracture risk. The FRAX algorithm, by combining several clinical risk factors, might improve fracture prediction compared to aBMD alone. Several micro-architectural and biomechanical parameters which can be measured by high-resolution peripheral quantitative computed tomography (HR-pQCT) are associated with fracture risk. HR-pQCT in combination or not with finite element analysis (FEA) may be used to improve bone strength prediction. Our aim was to assess whether HR-pQCT measurements (densities, cortical and trabecular microarchitecture, biomechanical proprieties assessed by FEA) had an added value in predicting fractures in a subgroup of women belonging to the Belgian FRISBEE cohort. One hundred nineteen women who sustained a fracture (aged 60 to 85 years) during the initial follow-up of our cohort had a radius and tibia examination by HR-pQCT and were compared with controls matched for their FRAX score at baseline. We found that low distal radius total (OR = 1.41 [1.07-1.86] per SD, p < 0.05) and trabecular densities (OR = 1.45 [1.10-1.90], p < 0.01), trabecular number (OR = 1.32 [1.01-1.72], p < 0.05), intra individual distribution of separation (OR = 0.73 [0.54-0.99], p < 0.05) as several FEA parameters were significantly associated with fractures. At the distal tibia, impaired cortical density (OR = 1.32 [1.03-1.70] per SD, p < 0.05) and thickness (OR = 1.29 [1.01-1.63], p < 0.05) and apparent modulus (OR = 1.30 [1.01-1.66], p < 0.05) were significantly correlated with fractures. A low ultra distal radial aBMD (UDR) measured at the time of HR-pQCT was significantly associated with fractures (OR = 1.67 [1.22-2.28], p < 0.01). Women from both groups were followed further after the realization of the HR-pQCT and 46 new fractures were registered. In this second part of the study, low UDR aBMD (OR = 1.66 [1.18-2.35], p < 0.01), total (OR = 1.48 [1.08-2.03], p < 0.05), cortical (OR = 1.40 [1.04-1.87], p < 0.05) and trabecular (OR = 1.37 [1.01-1.85], p < 0.05) densities or apparent modulus (OR = 1.49 [1.07-2.05], p < 0.05) at the radius were associated with a significant increase of fracture risk. At the tibia, only the cortical density was significantly associated with the fracture risk (OR = 1.34 [1.02-2.76], p < 0.05). These results confirm the interest of HR-pQCT measurements for the evaluation of fracture risk, also in women matched for their baseline FRAX score. They also highlight that UDR aBMD contains pertinent information.
骨密度(aBMD)对识别高骨折风险的女性的敏感性较低。FRAX 算法通过结合多种临床危险因素,与仅使用 aBMD 相比,可能会提高骨折预测的准确性。通过高分辨率外周定量计算机断层扫描(HR-pQCT)可以测量几种微结构和生物力学参数,这些参数与骨折风险相关。HR-pQCT 与有限元分析(FEA)结合或不结合,可能用于改善骨强度预测。我们的目的是评估 HR-pQCT 测量值(密度、皮质和小梁微结构、通过 FEA 评估的生物力学特性)在比利时 FRISBEE 队列的女性亚组中预测骨折方面是否具有附加价值。在我们队列的初始随访期间发生骨折的 119 名女性(年龄 60 至 85 岁)接受了 HR-pQCT 检查,并与基线 FRAX 评分相匹配的对照组进行了比较。我们发现,桡骨远端总骨密度(OR=1.41[1.07-1.86]每 SD,p<0.05)和小梁骨密度(OR=1.45[1.10-1.90],p<0.01)、小梁数量(OR=1.32[1.01-1.72],p<0.05)、分离的个体内分布(OR=0.73[0.54-0.99],p<0.05)和几个 FEA 参数与骨折显著相关。在胫骨远端,皮质骨密度(OR=1.32[1.03-1.70]每 SD,p<0.05)和厚度(OR=1.29[1.01-1.63],p<0.05)和表观模量(OR=1.30[1.01-1.66],p<0.05)受损与骨折显著相关。在 HR-pQCT 时测量的超远端桡骨 aBMD(UDR)低与骨折显著相关(OR=1.67[1.22-2.28],p<0.01)。两组女性在 HR-pQCT 后进一步随访,并登记了 46 例新骨折。在研究的第二部分中,UDR aBMD 低(OR=1.66[1.18-2.35],p<0.01)、总骨密度(OR=1.48[1.08-2.03],p<0.05)、皮质骨密度(OR=1.40[1.04-1.87],p<0.05)和小梁骨密度(OR=1.37[1.01-1.85],p<0.05)或表观模量(OR=1.49[1.07-2.05],p<0.05)与桡骨骨折风险显著增加相关。在胫骨远端,只有皮质骨密度与骨折风险显著相关(OR=1.34[1.02-2.76],p<0.05)。这些结果证实了 HR-pQCT 测量在评估骨折风险方面的意义,即使在与基线 FRAX 评分相匹配的女性中也是如此。它们还强调了 UDR aBMD 包含相关信息。