Real-world characteristics of patients with asthma initiating fluticasone furoate/umeclidinium/vilanterol single-inhaler triple therapy in Japan
Bibliographic record
Abstract
BACKGROUND: -agonist (ICS/LAMA/LABA) triple therapy in Japan are limited. METHODS: Descriptive, observational study of patients with asthma aged ≥15 years newly initiating single- or multiple-inhaler triple therapy (SITT: fluticasone furoate/umeclidinium/vilanterol [FF/UMEC/VI], SITT: indacaterol/glycopyrronium bromide/mometasone furoate [IND/GLY/MF] or MITT) or ICS/LABA using JMDC/Medical Data Vision (MDV) health insurance databases from February 2021-February 2022 (first prescription date: index date). Patients were assigned to three non-mutually exclusive cohorts: A) new FF/UMEC/VI initiators; B) new FF/UMEC/VI, IND/GLY/MF, or MITT initiators; C) new FF/UMEC/VI, IND/GLY/MF, MITT or ICS/LABA initiators as initial maintenance therapy (IMT). Patient characteristics were assessed descriptively for 12-months pre-treatment initiation (baseline period). RESULTS: Cohort A: among new FF/UMEC/VI initiators, 12.8% and 0.1% (JMDC) and 21.7% and 0.9% (MDV) of patients had ≥1 moderate and severe exacerbation; 52.0% (JMDC) and 79.2% (MDV) had ICS/LABA use. Cohort B: most patients initiated FF/UMEC/VI and IND/GLY/MF over MITT (JMDC: 91.3% vs 8.7%; MDV: 67.8% vs 32.2%), with fewer exacerbations and lower rescue medication use. Cohort C: a greater proportion of FF/UMEC/VI initiators as IMT experienced a moderate exacerbation at index versus ICS/LABA initiators as IMT (JMDC: 17.8% vs 10.7%; MDV: 8.0% vs 5.1%). CONCLUSIONS: Patient characteristics were generally similar between treatment groups; SITT initiators had fewer exacerbations and lower rescue medication use than MITT initiators, represented by the greater proportion of IMT among SITT versus MITT initiators. Physicians may have prescribed triple over dual therapy as IMT in response to an exacerbation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".