Validation of three tools for identifying painful new osteoporotic vertebral fractures in older Chinese men: bone mineral density, Osteoporosis Self-Assessment Tool for Asians, and fracture risk assessment tool
Received 23 November 2015
Accepted for publication 18 February 2016
Published 22 April 2016 Volume 2016:11 Pages 461—469
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Supriya Swarnkar
Peer reviewer comments 2
Editor who approved publication: Dr Zhi-Ying Wu
JiSheng Lin,* Yong Yang,* Qi Fei, XiaoDong Zhang, Zhao Ma, Qi Wang, JinJun Li, Dong Li, Qian Meng, BingQiang Wang
Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
*These authors contributed equally to this work
Objective: This cross-sectional study compared three tools for predicting painful new osteoporotic vertebral fractures (PNOVFs) in older Chinese men: bone mineral density (BMD), the Osteoporosis Self-Assessment Tool for Asians (OSTA), and the World Health Organization fracture risk assessment tool (FRAX) (without BMD).
Methods: Men aged ≥50 years were apportioned to a group for men with fractures who had undergone percutaneous vertebroplasty (n=111), or a control group of healthy men (n=385). Fractures were verified on X-ray and magnetic resonance imaging. BMD T-scores were determined by dual energy X-ray absorptiometry. Diagnosis of osteoporosis was determined by a BMD T-score of ≤2.5 standard deviations below the average for a young adult at peak bone density at the femoral neck, total hip, or L1–L4. Demographic and clinical risk factor data were self-reported through a questionnaire. BMD, OSTA, and FRAX scores were assessed for identifying PNOVFs via receiver-operating characteristic (ROC) curves. Optimal cutoff points, sensitivity, specificity, and areas under the ROC curves (AUCs) were determined.
Results: Between the men with fractures and the control group, there were significant differences in BMD T-scores (at femoral neck, total hip, and L1–L4), and OSTA and FRAX scores. In those with fractures, only 53.15% satisfied the criteria for osteoporosis. Compared to BMD or OSTA, the FRAX score had the best predictive value for PNOVFs: the AUC of the FRAX score (cutoff =2.9%) was 0.738, and the sensitivity and specificity were 82% and 62%, respectively.
Conclusion: FRAX may be a valuable tool for identifying PNOVFs in older Chinese men.
Keywords: osteoporosis, male, vertebral fracture, FRAX, OSTA, bone mineral density
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