Combining OSTA and BMR to predict osteoporosis in Chinese population.

IF 2.8 3区医学 Q1 ORTHOPEDICS Journal of Orthopaedic Surgery and Research Pub Date : 2024-11-19 DOI:10.1186/s13018-024-05260-3

Jiaxin Zhao, Yulin Wang, Shuo Wang, Qin Guo, Wei Wang, Jidong Song

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Abstract

Introduction: Osteoporosis is a debilitating bone disease that significantly contributes to disability and a loss of autonomy among older adults. This study aimed to characterize osteoporosis and explore the feasibility of combining OSTA and BMR for osteoporosis prediction.

Methods: A cross-sectional study involving 1435 participants (1300 women and 135 men) was conducted. Spearman's correlation, simple linear regression analyses, and multiple linear regression models were utilized to investigate the association between OSTA, BMR, and bone mineral density (BMD). Furthermore, the efficacy of integrating OSTA with BMR for osteoporosis screening and prediction was assessed through receiver operating characteristic (ROC) curves.

Results: In the total population, the sensitivity of combination variable W was 58.63%, and the specificity was 70.90%. When OSTA and BMR were employed separately to diagnose osteoporosis, the sensitivity was 47.70% and 55.34%, respectively, while the specificity was 63.80% and 69.80%, respectively.

Conclusions: The combined utilization of OSTA and BMR formula represents an effective screening method for osteoporosis.

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结合 OSTA 和 BMR 预测中国人群的骨质疏松症。

导言：骨质疏松症是一种使人衰弱的骨病，是导致老年人残疾和丧失自理能力的重要原因。本研究旨在描述骨质疏松症的特征，并探讨结合 OSTA 和 BMR 预测骨质疏松症的可行性：方法：研究人员对 1435 名参与者（1300 名女性和 135 名男性）进行了横断面研究。利用斯皮尔曼相关性、简单线性回归分析和多元线性回归模型来研究 OSTA、BMR 和骨矿物质密度（BMD）之间的关联。此外，还通过接收器操作特征曲线（ROC）评估了将 OSTA 与 BMR 结合用于骨质疏松症筛查和预测的效果：在所有人群中，组合变量 W 的灵敏度为 58.63%，特异度为 70.90%。分别使用 OSTA 和 BMR 诊断骨质疏松症时，敏感性分别为 47.70% 和 55.34%，特异性分别为 63.80% 和 69.80%：结论：结合使用 OSTA 和 BMR 公式是一种有效的骨质疏松症筛查方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Orthopaedic Surgery and Research ORTHOPEDICS-

CiteScore

4.10

自引率

7.70%

发文量

494

审稿时长

>12 weeks

期刊介绍： Journal of Orthopaedic Surgery and Research is an open access journal that encompasses all aspects of clinical and basic research studies related to musculoskeletal issues. Orthopaedic research is conducted at clinical and basic science levels. With the advancement of new technologies and the increasing expectation and demand from doctors and patients, we are witnessing an enormous growth in clinical orthopaedic research, particularly in the fields of traumatology, spinal surgery, joint replacement, sports medicine, musculoskeletal tumour management, hand microsurgery, foot and ankle surgery, paediatric orthopaedic, and orthopaedic rehabilitation. The involvement of basic science ranges from molecular, cellular, structural and functional perspectives to tissue engineering, gait analysis, automation and robotic surgery. Implant and biomaterial designs are new disciplines that complement clinical applications. JOSR encourages the publication of multidisciplinary research with collaboration amongst clinicians and scientists from different disciplines, which will be the trend in the coming decades.