Hans Didier, Durosier Claire, Kanis John A, Johansson Helena, Schott-Pethelaz Anne-Marie, Krieg Marc-Antoine
Nuclear Medicine Division, Geneva University Hospital, Geneva, Switzerland.
J Bone Miner Res. 2008 Jul;23(7):1045-51. doi: 10.1359/jbmr.080229.
This study aimed to develop a hip screening tool that combines relevant clinical risk factors (CRFs) and quantitative ultrasound (QUS) at the heel to determine the 10-yr probability of hip fractures in elderly women. The EPISEM database, comprised of approximately 13,000 women 70 yr of age, was derived from two population-based white European cohorts in France and Switzerland. All women had baseline data on CRFs and a baseline measurement of the stiffness index (SI) derived from QUS at the heel. Women were followed prospectively to identify incident fractures. Multivariate analysis was performed to determine the CRFs that contributed significantly to hip fracture risk, and these were used to generate a CRF score. Gradients of risk (GR; RR/SD change) and areas under receiver operating characteristic curves (AUC) were calculated for the CRF score, SI, and a score combining both. The 10-yr probability of hip fracture was computed for the combined model. Three hundred seven hip fractures were observed over a mean follow-up of 3.2 yr. In addition to SI, significant CRFs for hip fracture were body mass index (BMI), history of fracture, an impaired chair test, history of a recent fall, current cigarette smoking, and diabetes mellitus. The average GR for hip fracture was 2.10 per SD with the combined SI + CRF score compared with a GR of 1.77 with SI alone and of 1.52 with the CRF score alone. Thus, the use of CRFs enhanced the predictive value of SI alone. For example, in a woman 80 yr of age, the presence of two to four CRFs increased the probability of hip fracture from 16.9% to 26.6% and from 52.6% to 70.5% for SI Z-scores of +2 and -3, respectively. The combined use of CRFs and QUS SI is a promising tool to assess hip fracture probability in elderly women, especially when access to DXA is limited.
本研究旨在开发一种髋部筛查工具,该工具结合相关临床风险因素(CRF)和足跟定量超声(QUS)来确定老年女性髋部骨折的10年概率。EPISEM数据库由约13000名70岁女性组成,源自法国和瑞士的两个基于人群的欧洲白人队列。所有女性均有CRF的基线数据以及足跟QUS得出的硬度指数(SI)的基线测量值。对女性进行前瞻性随访以确定新发骨折。进行多变量分析以确定对髋部骨折风险有显著贡献的CRF,并将其用于生成CRF评分。计算CRF评分、SI以及两者结合的评分的风险梯度(GR;RR/标准差变化)和受试者操作特征曲线下面积(AUC)。为联合模型计算髋部骨折的10年概率。在平均3.2年的随访中观察到307例髋部骨折。除SI外,髋部骨折的显著CRF包括体重指数(BMI)、骨折史、椅子试验受损、近期跌倒史、当前吸烟和糖尿病。联合SI + CRF评分时髋部骨折的平均GR为每标准差2.10,而单独SI时为1.77,单独CRF评分时为1.52。因此,使用CRF增强了单独SI的预测价值。例如,对于一名80岁的女性,存在两到四个CRF时,对于SI Z评分分别为+2和 -3的情况,髋部骨折的概率从16.9%增加到26.6%,从52.6%增加到70.5%。CRF和QUS SI的联合使用是评估老年女性髋部骨折概率的一种有前景的工具,尤其是在双能X线吸收法(DXA)获取受限的情况下。