Prevalence and associated factors of low bone mass in adults with systemic lupus erythematosus
Bibliographic record
Abstract
Background Systemic lupus erythematosus (SLE) patients are often treated with glucocorticoids, which place them at risk of bone loss. Objectives The objectives of this article are to determine: (1) the prevalence of low bone mineral density (BMD) and factors associated with low BMD and (2) the prevalence of symptomatic fragility fractures in inception patients of the Toronto Lupus Cohort (TLC). Methods Prospectively collected data from the TLC (1996-2015) of inception patients' first BMD were analyzed. For pre-menopausal women/males <50 years, BMD 'below expected range for age' was defined by Z-score ≤ -2.0 SD. For post-menopausal women/males age 50 or older, osteoporosis was defined by T-score ≤ -2.5 SD and low bone mass by T-score between -1.0 and -2.5 SD. Patients' BMDs were defined as abnormal if Z-score ≤ -2.0 or T-score < -1.0 SD, and the remainder as normal. Descriptive analysis and logistic regression were employed. Results Of 1807 patients, 286 are inception patients with BMD results (mean age 37.9 ± 13.7 years); 88.8% are female. The overall prevalence of abnormal BMD is 31.5%. In pre-menopausal women ( n = 173), the prevalence of BMD below expected range is 17.3%. In post-menopausal women ( n = 81), the prevalence of osteoporosis and low BMD are 12.3% and 43.2%, respectively. Age and cumulative dose of glucocorticoids are statistically significantly associated with abnormal BMD in multivariate analysis. Of 769 inception patients from TLC, 11.1% experienced symptomatic fragility fractures (peripheral and vertebral) over the course of their disease. Conclusion The prevalence of low BMD is high in SLE patients, and is associated with older age and higher cumulative glucocorticoid dose.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".