Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada; Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada.
Department of Mechanical Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
J Clin Densitom. 2019 Jul-Sep;22(3):338-345. doi: 10.1016/j.jocd.2019.02.001. Epub 2019 Feb 8.
Finite element analysis (FEA) is a computational method to predict the behavior of materials under applied loading. We developed a software tool that automatically performs FEA on dual-energy X-ray absorptiometry hip scans to generate site-specific fracture risk indices (FRIs) that reflect the likelihood of hip fracture from a sideways fall. This longitudinal study examined associations between FRIs and incident fractures.
Using the Manitoba Bone Mineral Density (BMD) Registry, femoral neck (FN), intertrochanter (IT), and subtrochanter (ST) FRIs were automatically derived from 13,978 anonymized dual-energy X-ray absorptiometry scans (Prodigy, GE Healthcare) in women and men aged 50 yr or older (mean age 65 yr). Baseline covariates and incident fractures were assessed from population-based data. We compared c-statistics for FRIs vs FN BMD alone and fracture risk assessment (FRAX) probability computed with BMD. Cox regression was used to estimate hazard ratios and 95% confidence intervals (95% CIs) for incident hip, major osteoporotic fracture (MOF) and non-hip MOF adjusted for relevant covariates including age, sex, FN BMD, FRAX probability, FRAX risk factors, and hip axis length (HAL).
During mean follow-up of 6 yr, there were 268 subjects with incident hip fractures, 1003 with incident MOF, and 787 with incident non-hip MOF. All FRIs gave significant stratification for hip fracture (c-statistics FN-FRI: 0.76, 95% CI 0.73-0.79, IT-FRI 0.74, 0.71-0.77; ST-FRI 0.72, 0.69-0.75). FRIs continued to predict hip fracture risk even after adjustment for age and sex (hazard ratio per standard deviation FN-FRI 1.89, 95% CI 1.66-2.16); age, sex, and BMD (1.26, 1.07-1.48); FRAX probability (1.30, 1.11-1.52); FRAX probability with HAL (1.26, 1.05-1.51); and individual FRAX risk factors (1.32, 1.09-1.59). FRIs also predicted MOF and non-hip MOF, but the prediction was not as strong as for hip fracture.
Automatically-derived FN, IT, and ST FRIs are associated with incident hip fracture independent of multiple covariates, including FN BMD, FRAX probability and risk factors, and HAL.
有限元分析(FEA)是一种预测材料在施加载荷下行为的计算方法。我们开发了一种软件工具,可自动对双能 X 射线吸收法髋部扫描进行 FEA,以生成特定部位的骨折风险指数(FRI),反映从侧面跌倒导致髋部骨折的可能性。这项纵向研究检查了 FRI 与骨折事件之间的关联。
使用马尼托巴省骨密度(BMD)登记处,从年龄在 50 岁或以上的 13978 名女性和男性的匿名双能 X 射线吸收法扫描(Prodigy,GE Healthcare)中自动得出股骨颈(FN)、转子间(IT)和转子下(ST)FRI。从基于人群的数据中评估基线协变量和骨折事件。我们比较了 FRI 与 FN BMD 单独评估和使用 BMD 计算的骨折风险评估(FRAX)概率的 C 统计量。使用 Cox 回归估计调整年龄、性别、FN BMD、FRAX 概率、FRAX 风险因素和髋轴长度(HAL)等相关协变量后,髋部、主要骨质疏松性骨折(MOF)和非髋部 MOF 事件的风险比和 95%置信区间(95%CI)。
在平均 6 年的随访期间,有 268 名受试者发生髋部骨折,1003 名发生 MOF,787 名发生非髋部 MOF。所有 FRI 对髋部骨折均有显著分层作用(FN-FRI 的 C 统计量为 0.76,95%CI 为 0.73-0.79,IT-FRI 为 0.74,0.71-0.77;ST-FRI 为 0.72,0.69-0.75)。即使在调整年龄和性别后,FRI 仍继续预测髋部骨折风险(FN-FRI 每标准差增加 1.89,95%CI 为 1.66-2.16);年龄、性别和 BMD(1.26,1.07-1.48);FRAX 概率(1.30,1.11-1.52);FRAX 概率与 HAL(1.26,1.05-1.51);和个体 FRAX 风险因素(1.32,1.09-1.59)。FRI 还预测了 MOF 和非髋部 MOF,但预测效果不如髋部骨折。
自动得出的 FN、IT 和 ST FRI 与髋部骨折事件相关,独立于多个协变量,包括 FN BMD、FRAX 概率和风险因素以及 HAL。