Risk-Weight Calculation of Candidate Risk Factors for Incidental Osteoporotic Fracture in Patients with Rheumatic Diseases: A Potentially Accurate Approach
<b>Background/Objectives</b>: 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. <b>Methods<...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Osteology |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4036/5/1/5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | <b>Background/Objectives</b>: 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. <b>Methods</b>: 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 <i>p</i>-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. <b>Results</b>: 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 (<i>p</i> < 0.001), cognitive impairment (<i>p</i> < 0.001), anti-osteoporosis drug intervention (<i>p</i> < 0.001), and rehabilitation (<i>p</i> < 0.001). The excellent approach to acquire the best sensitivity and specificity was to calculate the β-value multiplied by the logarithm of the <i>p</i>-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. <b>Conclusions</b>: This novel approach, which includes non-significant factors, can achieve a more accurate sensitivity and specificity to accidental OF in patients with RDs. |
|---|---|
| ISSN: | 2673-4036 |