Combining OSTA and BMR to predict osteoporosis in Chinese population.

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.
Competing Interests: Declarations Ethics approval and consent to participate The study protocol was approved by the Ethics Committee of The Second Affiliated Hospital of Xi’an Jiaotong University (No.2023264) and written informed consent was obtained from each participant. Consent for publication All authors consented to the publication of this study. The hospital committee of ethics approved the study, and informed consent was obtained from the patients/participants included in this study. Following the guidelines, the patient’s permission to publish is indicated as “Not Applicable” in this section. Figures authenticity All figures submitted have been created by the authors who confirm that the images are original with no duplication and have not been previously published in whole or in part. Competing interests The authors declare no competing interests.
(© 2024. The Author(s).)