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Comparison of OSTA, FRAX and BMI for Predicting Postmenopausal Osteoporosis in a Han Population in Beijing: A Cross Sectional Study

Authors Fan Z, Li X, Zhang X, Yang Y, Fei Q, Guo A

Received 6 April 2020

Accepted for publication 30 June 2020

Published 17 July 2020 Volume 2020:15 Pages 1171—1180

DOI https://doi.org/10.2147/CIA.S257166

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 4

Editor who approved publication: Dr Zhi-Ying Wu


Zihan Fan, Xiaoyu Li, Xiaodong Zhang, Yong Yang, Qi Fei, Ai Guo

Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China

Correspondence: Qi Fei; Ai Guo
Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong’an Road, Xicheng District, Beijing 100050, People’s Republic of China
Tel +86 10 6313 8353
Fax +86 10 8391 1029
Email spinefei@126.com; guoaiortho@126.com

Purpose: To validate the efficacies of three screening tools including the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI) for predicting postmenopausal osteoporosis (OP) and to define the ideal thresholds for avoidance of dual-energy X-ray absorptiometry (DXA) scanning in a Han Chinese population in Beijing.
Patients and Methods: A total of 2055 community-dwelling Han Beijing postmenopausal females aged ≥ 45 years were enrolled in this study. All participants completed a questionnaire, and BMD was measured by DXA. OP was defined by a T-score at least − 2.5 SD less than that of average young adults in different diagnostic criteria [lumbar spine, femoral neck, total hip, worst hip, WHO]. The abilities of the OSTA, FRAX, and BMI to predict OP were analyzed by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and area under the ROC curves (AUC) were calculated. Ideal thresholds for identifying OP were proposed.
Results: The prevalence of OP ranged from 8.1% to 28.4% according to different diagnostic criteria. The AUC range for the OSTA (0.758– 0.849) was similar to the FRAX (0.728– 0.855), which revealed that both tools predicted OP reliably. The AUC range for BMI was 0.643– 0.682, suggesting limited predictive value. According to WHO criteria, the AUC values for the FRAX for hip fracture risk (FRAX-HF) and for the OSTA were 0.796 and 0.798, with corresponding sensitivities of 74.79% and 69.64% and specificities of 70.45% and 75.07%, respectively. At defined thresholds, the FRAX-HF and OSTA allowed avoidance of DXA in 42.4– 37.6% of participants, at a cost of missing only 7.2– 8.6% of individuals with OP.
Conclusion: The OSTA and FRAX-HF may be reliable and effective tools for identifying postmenopausal OP in the Han Beijing population without BMD.

Keywords: postmenopausal osteoporosis, OSTA, FRAX, BMI

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