Bibliographic Details
| Title: |
Risk-Weight Calculation of Candidate Risk Factors for Incidental Osteoporotic Fracture in Patients with Rheumatic Diseases: A Potentially Accurate Approach. |
| Authors: |
Yoshii, Ichiro1 (AUTHOR), Sawada, Naoya2 (AUTHOR), Chijiwa, Tatsumi3 (AUTHOR) |
| Source: |
Osteology. Mar2025, Vol. 5 Issue 1, p5. 11p. |
| Subject Terms: |
*OSTEOPOROSIS, *BONE fractures, *RHEUMATISM, *RISK assessment, *KAPLAN-Meier estimator, *SURVIVAL analysis (Biometry), *RISK exposure, *SENSITIVITY & specificity (Statistics) |
| Abstract: |
Background/Objectives: To assess the risk of osteoporotic fractures in patients with rheumatic diseases (RDs), we introduced a new approach for predicting incident osteoporotic fractures (OF), employing a risk-weight calculation for each candidate risk factor. Methods: RD outpatients were picked up, and their histories, including OFs, were studied. A Cox regression analysis that evaluated candidate risk factors was conducted with a multivariate model. The variants were selected as candidate risk factors that showed statistical significance using a univariate model. Using the risk ratio or the β-value and p-value, different approaches to acquire a total risk weight (TRW) for each patient were determined to compare the sensitivity and specificity among the approach methods. The cut-off index (COI) was determined using receiver operating characteristic analysis. Sensitivity and specificity for incident OFs were determined using the Kaplan–Meier survival analysis. Results: In a total of 1228 patients, incidental OF occurred in 179 (14.58%) who were included. Factors with significantly higher risk ratios were a history of vertebral and non-vertebral fractures (p < 0.001), cognitive impairment (p < 0.001), anti-osteoporosis drug intervention (p < 0.001), and rehabilitation (p < 0.001). The excellent approach to acquire the best sensitivity and specificity was to calculate the β-value multiplied by the logarithm of the p-value based on 0.05, including non-significant factors (sensitivity: 31.2%, specificity: 94.9%, and area under the curve (AUC): 0.774) compared to 29.4%, 91.6%, and 0.723, respectively, with a counted significant risk factors approach. Conclusions: This novel approach, which includes non-significant factors, can achieve a more accurate sensitivity and specificity to accidental OF in patients with RDs. [ABSTRACT FROM AUTHOR] |
|
Copyright of Osteology is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Academic Search Complete |
