• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

A Comparative Study of BFH-OST and OSTA for the Risk Prediction of Osteoporosis in Postmenopausal Women

Corresponding author: fei qi, spinefei@126.com
DOI: 10.12201/bmr.202407.00019
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: Objective: To compare the predictive effect of the new Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OST) and Osteoporosis self-assessment tool for Asians (OSTA). Methods: A total of 115 postmenopausal women with osteoporosis in Beijing who met the criteria were randomly enrolled, and dualenergy X-ray absorptiometr (DXA) was used as the diagnostic criterion. The ROC curves of BFH-OST and OSTA were compared to analyze the diagnostic efficacy and differences between the two groups. Results: BFH-OST and OSTA were significantly correlated with DXA in the diagnosis of osteoporosis (P<0.01), the AUC of BFH-OST was 0.819, the cut-off value of the ROC curve was ≤12.2, the sensitivity was 81.25%, and the specificity was 75.90%. The AUC of OSTA was 0.809, the cut-off value was ≤-1.2, the sensitivity was 81.25%, and the specificity was 72.29%. There was a significant difference between the ROC curves of BFH-OST and OSTA (P=0.02<0.05). Conclusion: BFH-OST and OSTA have predictive effects on the risk of osteoporosis in postmenopausal women. BFH-OST is better than OSTA in predicting and diagnosing osteoporosis in postmenopausal women.

    Key words: postmenopausal osteoporosis; osteoporosis screening tools; bone mineral density; sensitivity; specificity

    Submit time: 11 July 2024

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  • ID Submit time Number Download
    1 2024-06-12

    bmr.202407.00019V1

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fei qi. A Comparative Study of BFH-OST and OSTA for the Risk Prediction of Osteoporosis in Postmenopausal Women. 2024. biomedRxiv.202407.00019

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