Disease Burden and Healthcare Utilization Among Patients with Chronic Obstructive Pulmonary Disease (COPD) in England
Bibliographic record
Abstract
Purpose: Clinical guidelines for COPD management suggest pharmacologic treatment algorithms based on symptoms and exacerbation history. As previous research has suggested that prescribing patterns are not always aligned with these recommendations, this study investigated the burden of disease in patients with COPD receiving, and persisting on, new inhaled maintenance therapy. Patients and Methods: This was a retrospective observational study using two linked electronic databases containing health records of patients in England. Patients aged ≥ 35 years with a confirmed diagnosis of COPD, and who initiated a new inhaled respiratory pharmacologic maintenance regimen between January 1, 2014 and December 31, 2016 (index date) were eligible for inclusion. New treatments could be long-acting muscarinic antagonist (LAMA) or long-acting β 2 -agonist (LABA) monotherapy, inhaled corticosteroid (ICS)/LABA or LAMA/LABA dual therapy, or a multiple-inhaler triple therapy (MITT; LAMA/LABA/ICS). Patients were required to have 12 months of available medical history prior to, and after, the index date. Results: In total, 25,350 eligible patients were identified, of these 8282 (mean age: 70.9 years; 51.5% male) persisted with their newly prescribed inhaled therapy for ≥ 12 months and were included in the analysis. In the 12 months prior to index, 54% of patients had moderate or severe dyspnea (Medical Research Council score ≥ 3). The most common therapy initiated at index was MITT (42%), followed by ICS/LABA dual therapy (31.2%). The proportion of patients with moderate or severe dyspnea in the post-index period ranged from 29.0% of patients receiving ICS to 64.2% of patients receiving MITT. In the post-index period, 48.1% of patients experienced ≥ 1 exacerbation and 54.9% had ≥ 5 general practitioner visits. Conclusion: Many of the patients with COPD in our study continued to experience symptoms and exacerbations, despite persisting on the same treatment for ≥ 12 months. This suggests that some patients may benefit from treatment modification in accordance with guideline recommendations. Keywords: chronic obstructive pulmonary disease, exacerbations, healthcare utilization, maintenance therapy, general practice
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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".