Prevalence of Osteopenia and Osteoporosis in Patients with Moderate to Severe Asthma in Western Canada
Bibliographic record
Abstract
PURPOSE: Steroids, inhaled and systemic, are used to treat airway inflammation in patients with asthma; however, steroids are recognized to cause a number of side effects, including osteoporosis. We evaluated the prevalence of osteopenia/osteoporosis in patients with moderate-severe asthma managed through the Edmonton Regional Severe Asthma Centre. METHODS: We performed a retrospective chart review and analyzed 57 charts on patients with moderate-severe asthma followed through the specialty clinic, and recorded their bone mineral density (BMD). Steroid use was reviewed and the frequency of osteopenia/osteoporosis was compared in patients requiring continuous systemic steroids (Group 1, n=15), intermittent systemic steroids (Group 2, n=15) or inhaled steroids only (Group 3, n=27). RESULTS: The mean age (mean±SD) was 50±14.8 years. Cumulative systemic steroid dose of prednisone equivalent was higher in Group 1 (12.5 mg/day) than Group 2 (3.2 mg/day) (p=0.002). The frequency of osteopenia / osteoporosis was not significantly different between patients in Group 1(67%) and Group 2 (53%, p=0.46) but was significantly greater in patients from Group 1 in comparison with Group 3 (33%, p=0.038). CONCLUSION: Patients with moderate-severe asthma have a high prevalence of reduced bone density. Many patients treated with intermittent systemic steroids for exacerbations, or who were stable on inhaled steroids, had either osteopenia or osteoporosis before the age of 50. National and international osteoporosis guidelines should emphasize earlier screening for asthma patients; and increase awareness of the detrimental effects of short-term systemic steroids and inhaled steroids on BMD, especially when started at an early age and in northern climates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".