Clinical and Economic Impact of Long-Term Inhaled Corticosteroid Withdrawal in Patients with Chronic Obstructive Pulmonary Disease Treated with Triple Therapy in Spain
Bibliographic record
Abstract
Purpose: -agonist (LABA), and long-acting muscarinic antagonist (LAMA). Patients and Methods: This was an observational, retrospective study of BIG-PAC database medical records. Patients aged ≥40 years receiving TT from 2016 to 2018 were followed for 1 year. Two cohorts were identified: patients continuing TT (ICS+LABA+LAMA), and patients receiving TT with ICS withdrawn (LABA+LAMA). Variables included medication, exacerbations (moderate and severe), pneumonia, mortality, health resource use (HRU), and cost per patient/year. Cohorts were compared using propensity score matching (PSM). Multivariate statistical analysis using analysis of covariance and Cox proportional risks was conducted. Results: Of 6541 patients included, 5740 (87.8%) continued TT and 801 (12.2%) had ICS withdrawn. Patients with ICS withdrawal were younger, had lower disease burden, higher ICS doses, and more exacerbations compared with those continuing ICS. PSM matched 795 patients in each cohort. Mean age was 68.5 years (SD: 11.2), 69.9% were male, and mean Charlson index was 2.0. Patients with ICS withdrawal had more total exacerbations in the 12 months following withdrawal compared with patients continuing TT (36.6% vs 31.4%; p=0.030). No significant differences were found for pneumonia (3.3% vs 3.6%; p=0.583) and mortality (9.9% vs 7.5%; p=0.092). Median time to first exacerbation was shorter in patients with ICS withdrawal compared with those continuing ICS (HR: 0.69, 95% CI: 0.57-0.83; p<0.001). Mean health cost per patient/year among patients with ICS withdrawal was higher than those continuing TT (€2993 vs €2130; p<0.001). Conclusion: ICS withdrawal in patients with COPD receiving TT was associated with increased exacerbations, HRU, and costs compared with continuing TT, with health and economic impacts on patients and the Spanish National Healthcare System, respectively. Pneumonia and mortality rates were similar between groups.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".