Real-world association between systemic corticosteroid exposure and complications in US patients with severe asthma
Bibliographic record
Abstract
BACKGROUND: Systemic corticosteroid (SCS) use remains widespread among patients with severe asthma, despite associated complications. OBJECTIVE: Evaluate the association between cumulative SCS exposure and SCS-related complications in severe asthma. METHODS: This retrospective, longitudinal study used claims data from the Optum Clinformatics Data Mart database (GSK ID: 214469). Eligible patients (≥ 12 years old) had an asthma diagnosis and were divided into two cohorts: SCS use and non/burst-SCS use. Patients in the SCS use cohort had a claim for a daily prednisone-equivalent dose ≥ 5 mg SCS following ≥ 6 months of continuous SCS use; those in the non/burst-SCS cohort had no evidence of continuous SCS use and had a non-SCS controller/rescue medication initiation claim. For each cohort, the date of the qualifying claim was the index date. SCS users were further stratified by SCS use during each quarter of follow-up: low (≤ 6 mg/day), medium (> 6-12 mg/day), high (> 12 mg/day), and continuous high (≥ 20 mg/day for 90 days). SCS-related complications were evaluated in the quarter following SCS exposure. The adjusted odds ratios (OR) of experiencing SCS-related complications during follow-up in each of the SCS use groups versus the non/burst SCS cohort were calculated using generalized estimating equations models. RESULTS: SCS and non/burst-SCS use cohorts included 7473 and 89,281 patients (mean follow-up: 24.6 and 24.2 months), respectively. Compared with the non/burst-SCS use cohort, medium, high, and continuous high SCS use was associated with greater odds of any SCS-related complication (adjusted OR [95% confidence interval]: 1.30 [1.21, 1.39], 1.49 [1.35, 1.64] and 1.63 [1.40, 1.89], respectively) including increased acute gastrointestinal, cardiovascular, and immune system-related complications, and chronic cardiovascular, metabolic/endocrine, central nervous system, bone-/muscle-related, ophthalmologic, and hematologic/oncologic complications. Low-dose SCS use was also associated with significantly increased odds of acute gastrointestinal and immune system-related complications, and chronic bone-/muscle-related and hematologic/oncologic complications versus the non/burst-SCS use cohort. CONCLUSION: SCS use, even at low doses, is associated with increased risk of SCS-related complications among patients with severe asthma.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".