Treatment pathways, economic burden and clinical outcomes in new users of inhaled corticosteroid/long-acting B <sub>2</sub> -agonist dual therapy with chronic obstructive pulmonary disease in a primary care setting in England: a retrospective cohort study
Bibliographic record
Abstract
OBJECTIVE: -agonist (ICS/LABA) improves lung function and health status and reduces COPD exacerbation risk versus monotherapy. This study described treatment use, healthcare resource utilisation (HCRU), healthcare costs and outcomes following initiation of single-device ICS/LABA as initial maintenance therapy (IMT). DESIGN: Retrospective cohort study. SETTING: Primary care, England. DATA SOURCES: Linked data from the Clinical Practice Research Datalink Aurum and Hospital Episode Statistics datasets. PARTICIPANTS: Patients with COPD and ≥1 single-device ICS/LABA prescription between July 2015 and December 2018 were included. PRIMARY AND SECONDARY OUTCOME MEASURES: Treatment pathways, COPD-related HCRU and healthcare costs, COPD exacerbations, time to triple therapy, medication adherence (proportion of days covered ≥80%) and indexed treatment time to discontinuation. Data for patients without prior maintenance therapy history (IMT users) and non-triple users were assessed over a 12-month follow-up period. RESULTS: Of 13 451 new ICS/LABA users, 5162 were IMT users (budesonide/formoterol, n=1056; beclomethasone dipropionate/formoterol, n=2427; other ICS/LABA, n=1679), for whom at 3 and 12 months post-index, 45.6% and 39.4% were still receiving any ICS/LABA. At >6 to ≤12 months, the proportion of IMT users with ≥1 outpatient visit (10.1%) and proportion with ≥1 inpatient stay (12.6%) had increased from those at 3 months (9.0% and 7.4%, respectively). Inpatient stays contributed most to total COPD-related healthcare costs. For non-triple IMT users, at 3 and 12 months post-index, 4.5% and 13.7% had ≥1 moderate-to-severe COPD exacerbation. Time to triple therapy initiation and time to discontinuation of index medication ranged from 45.9 to 50.2 months and 2.3 to 2.8 months between treatments. Adherence was low across all time points (21.5-27.6%). Results were similar across indexed therapies. CONCLUSIONS: In the year following treatment initiation, ICS/LABA adherence was poor and many patients discontinued or switched therapies, suggesting that more consideration and optimisation of treatment is required in England for patients initiating single-device ICS/LABA therapy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".