Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
BMC Musculoskelet Disord. 2021 Jun 28;22(1):596. doi: 10.1186/s12891-021-04476-2.
To compare the validation of four tools for identifying painful new osteoporotic vertebral compression fractures (PNOVCFs) in older Chinese men: bone mineral density (BMD), Asian osteoporosis self-assessment tool (OSTA), World Health Organization fracture risk assessment tool (FRAX) (without BMD) and Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OSTM).
A cross sectional study was conducted from 2013 to 2019. A total of 846 men aged ≥50 were included and were divided into two groups: Fracture Group (patients with PNOVCFs underwent percutaneous vertebroplasty surgery) and Non-Fracture Group (community dwelled subjects for healthy examination). All subjects accepted a dual-energy X-ray BMD test and a structured questionnaire. The results of BMD, OSTA, FRAX and BFH-OSTM scores were assessed and receiver-operating characteristic (ROC) curves were generated to compare the validity of four tools for identifying PNOVCFs. Optimal cutoff points, sensitivity, specificity, and areas under the ROC curves (AUCs) were determined.
There were significant differences including BMD T score (femoral neck, total hip and L1-L4), OSTA, FRAX and BFH-OSTM scores between Fracture group and Non-fracture group. Compared to BMD and OSTA, BFH-OSTM and FRAX had better predictive value, the sensitivity, specificity and AUC value are 0.841, 81.29%, 70.67% and 0.796, 74.85%, 78.52%, respectively. Compared with FRAX, the BFH-OSTM has a better AUC value.
Both BFH-OSTM and FRAX can be used to identify POVCFs, However, BFH-OSTM model may be a more simple and effective tool to identify the risk of POVCFs in Chinese elderly men.
比较四种工具在识别老年男性新的骨质疏松性椎体压缩性骨折(PNOVCFs)中的验证:骨密度(BMD)、亚洲骨质疏松自我评估工具(OSTA)、世界卫生组织骨折风险评估工具(FRAX)(不包括 BMD)和北京友谊医院骨质疏松自我评估工具(BFH-OSTM)。
这是一项从 2013 年到 2019 年进行的横断面研究。共纳入 846 名年龄≥50 岁的男性,分为两组:骨折组(接受经皮椎体成形术治疗的 PNOVCFs 患者)和非骨折组(社区居住的健康体检者)。所有受试者均接受双能 X 射线骨密度测试和结构化问卷。评估 BMD、OSTA、FRAX 和 BFH-OSTM 评分的结果,并生成受试者工作特征(ROC)曲线,以比较四种工具识别 PNOVCFs 的有效性。确定最佳截断点、敏感性、特异性和 ROC 曲线下面积(AUCs)。
骨折组和非骨折组在 BMD T 评分(股骨颈、全髋和 L1-L4)、OSTA、FRAX 和 BFH-OSTM 评分方面存在显著差异。与 BMD 和 OSTA 相比,BFH-OSTM 和 FRAX 具有更好的预测价值,其敏感性、特异性和 AUC 值分别为 0.841、81.29%、70.67%和 0.796、74.85%、78.52%。与 FRAX 相比,BFH-OSTM 的 AUC 值更高。
BFH-OSTM 和 FRAX 均可用于识别 POVCFs,然而,BFH-OSTM 模型可能是一种更简单有效的工具,可用于识别中国老年男性 POVCFs 的风险。