NorthWest Academic Center, The University of Melbourne, Sunshine Hospital, 176 Furlong Road, St Albans, Australia, 3021.
Osteoporos Int. 2014 Jan;25(1):61-9. doi: 10.1007/s00198-013-2525-0. Epub 2013 Nov 5.
We investigated the fracture risk assessment tool (FRAX) Canada calibration and discrimination according to income quintile in 51,327 Canadian women, with and without a competing mortality framework. Our data show that, under a competing mortality framework, FRAX provides robust fracture prediction and calibration regardless of socioeconomic status (SES).
FRAX® predicts 10-year fracture risk. Social factors may independently affect fracture risk. We investigated FRAX calibration and discrimination according to SES.
Women aged ≥50 years with baseline femoral neck bone mineral density (BMD) were identified from the Manitoba Bone Density Program, Canada (n = 51,327), 1996-2011. Mean household income, extracted from 2006 census files, was categorized into quintiles. Ten-year fracture probabilities were calculated using FRAX Canada. Incident non-traumatic fractures were studied in relation to income quintile in adjusted Cox proportional hazards models. We compared observed versus predicted fractures with and without a competing mortality framework.
During mean 6.2 ± 3.7 years of follow up, there were 6,392 deaths, 3,723 women with ≥1 major osteoporotic fracture (MOF), and 1,027 with hip fractures. Lower income was associated with higher risk for death, MOF, and hip fracture in adjusted models (all p < 0.005). More women in income quintile 1 (lowest) versus quintile 5 experienced death (19 vs. 8%), MOF (10 vs. 6%), or hip fracture (3.0 vs. 1.3 %) (all p ≤ 0.001). Adjustment for competing mortality mitigated the effect of SES on FRAX calibration, and good calibration was observed. FRAX provided good fracture discrimination for MOF and hip fracture within each income quintile (all p < 0.001). Area under the curve was slightly lower for income quintiles 1 versus 5 for FRAX with BMD to predict MOF (0.68, 95% CI 0.66-0.70 vs. 0.71, 95% CI 0.69-0.74) and hip fracture (0.79, 95% CI 0.76-0.81 vs. 0.87, 95% CI 0.84-0.89).
Increased fracture risk in individuals of lower income is offset by increased mortality. Under a competing mortality framework, FRAX provides robust fracture prediction and calibration regardless of SES.
目的:我们研究了骨折风险评估工具(FRAX)加拿大校准值和五分位数收入的鉴别能力,纳入了 51327 名加拿大女性,有和没有竞争死亡率框架。我们的数据表明,在竞争死亡率框架下,FRAX 提供了稳健的骨折预测和校准,无论社会经济地位(SES)如何。
引言:FRAX®预测 10 年骨折风险。社会因素可能独立影响骨折风险。我们研究了 SES 与骨折风险之间的关系。
方法:我们从加拿大马尼托巴省骨密度计划(1996-2011 年)中确定了 51327 名年龄≥50 岁且基线股骨颈骨密度(BMD)的女性。从 2006 年的人口普查档案中提取平均家庭收入,并将其分为五分位数。使用 FRAX 加拿大计算 10 年骨折概率。使用调整后的 Cox 比例风险模型研究非创伤性骨折与收入五分位数之间的关系。我们比较了有和没有竞争死亡率框架的情况下观察到的骨折与预测骨折之间的差异。
结果:在平均 6.2±3.7 年的随访期间,有 6392 人死亡,3723 名女性发生≥1 处主要骨质疏松性骨折(MOF),1027 名发生髋部骨折。在调整后的模型中,较低的收入与死亡、MOF 和髋部骨折的风险增加相关(均 P<0.005)。在收入五分位数 1(最低)的女性中,与五分位数 5 相比,经历死亡(19% vs. 8%)、MOF(10% vs. 6%)或髋部骨折(3.0% vs. 1.3%)的人数更多(均 P≤0.001)。考虑到竞争死亡率后,SES 对 FRAX 校准的影响减弱,并且观察到良好的校准。在每个收入五分位数中,FRAX 对 MOF 和髋部骨折均具有良好的骨折鉴别能力(均 P<0.001)。在考虑竞争死亡率的情况下,收入五分位数 1 预测 MOF(0.68,95%CI 0.66-0.70 与 0.71,95%CI 0.69-0.74)和髋部骨折(0.79,95%CI 0.76-0.81 与 0.87,95%CI 0.84-0.89)的 AUC 略低于五分位数 5。
结论:较低收入个体的骨折风险增加被死亡率增加所抵消。在竞争死亡率框架下,FRAX 提供了稳健的骨折预测和校准,无论 SES 如何。