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.
ObjectivesTo validate and compare four tools, the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), Beijing Friendship Hospital Osteoporosis Screening Tool (BFH-OST), Osteoporosis Self-Assessment Tool for Asians (OSTA), and BMD, to identify painful new osteoporotic vertebral fractures (PNOVFs).MethodsA total of 2874 postmenopausal women treated from June 2013 to June 2022 were enrolled and divided into two groups: patients with PNOVFs who underwent percutaneous vertebroplasty (PNOVFs group, n = 644) and community-enrolled females (control group, n = 2230). Magnetic resonance and X-ray imaging were used to confirm the presence of PNOVFs. Dual-energy X-ray absorptiometry was performed to calculate the BMD T-scores. Osteoporosis was diagnosed according to WHO Health Organization criteria. Data on the clinical and demographic risk factors were self-reported using a questionnaire. The ability to identify PNOVFs using FRAX, BFH-OST, OSTA, and BMD scores was evaluated using receiver operating characteristic (ROC) curves. For this evaluation, we calculated the areas under the ROC curves (AUCs), sensitivity, specificity, and optimal cut-off points.ResultsThere were significant differences in FRAX (without BMD), BFH-OST, OSTA, and BMD T-scores (total hip, femoral neck, and lumbar spine) between the PNOVFs and control groups. Compared with BFH-OST, OSTA, and BMD, the FRAX score had the best identifying value for PNOVFs; the AUC of the FRAX score (optimal cutoff =3.6%) was 0.825, while the sensitivity and specificity were 82.92% and 67.09%, respectively.ConclusionFRAX may be the preferable tool for identifying PNOVFs in postmenopausal women, while BFH-OST and OSTA can be applied as more simple screening tools for PNOVFs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.