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Effect of Adherence to Inhaled Pharmacologic Therapy on Chronic Obstructive Pulmonary Disease (COPD) Exacerbations and Death Among U.S. Veterans

2025· article· en· W4410274006 on OpenAlexaff
Miao Li Chee, Lucas M. Donovan, F. Picazo, A.G. Leonhard, Kevin I. Duan, David H. Au, Laura C. Feemster

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCOPDPulmonary diseaseIntensive care medicineInhaled corticosteroidsInternal medicineAsthma

Abstract

fetched live from OpenAlex

Abstract Rationale: Substantial evidence from rigorously controlled clinical trials demonstrates the benefit of combination long-acting inhaled therapies to reduce future exacerbations and improve symptoms among patients with a recent COPD exacerbation. However, the effect of adherence to these therapies on patient outcomes in clinical practice is poorly understood. We hypothesized that increased adherence would be associated with lower occurrence of COPD exacerbation and death. Methods: We conducted a national cohort study of patients discharged after hospitalization for a COPD exacerbation at Veterans Affairs (VA) medical centers from 2010-2019. We restricted the cohort to patients receiving current guideline-recommended therapy with dual long-acting bronchodilators (long-acting beta agonists (LABA) and long-acting muscarinic antagonists (LAMA)) or triple therapy (LABA/LAMA and inhaled corticosteroid (ICS)). We assessed adherence to LAMA/LABA or LAMA/LABA/ICS therapy 3 months after discharge and excluded patients who died or experienced a repeat exacerbation during this time. We measured adherence using the ReComp score, a standardized metric representing the proportion of days a medication is available based on pharmacy fills. Our primary exposure was a dichotomous measure with adherence defined as ReComp ≥0.8 across all inhaled therapies. In secondary analyses, we examined ReComp as a categorical and continuous measure averaged across therapies. The primary composite outcome was any COPD exacerbation or death 3-6 months after hospital discharge. We used mixed effects logistic regression to test the association of the outcome with medication adherence using VA facility as a random effect and adjusting for demographics, smoking status, comorbidities, health care utilization, and indicators of disease severity. Results: Of 20,259 patients included in the cohort, 20% (n=4,022) experienced the primary composite outcome. Patients tended to be older, White males (average age 69 years, 78.7% White, and 96.3% male). Approximately 31% (n=6,318) met adherence criteria for all prescribed therapies. Overall, adherence to inhaled therapies was not associated with the composite outcome of COPD exacerbation or death (Table 1). Adherence also wasn't associated with the individual components of the composite outcome, except for a decrease in mortality associated with increasing adherence using continuous ReComp scores. Conclusion: Overall, adherence was poor. We did not observe a difference in COPD exacerbation or death among patients who were adherent to inhaled therapies. These findings suggest that adherence to inhaled therapies, as measured using claims data, is insufficient to improve COPD outcomes and other factors such as actual inhaler usage or inhaler technique may contribute to similar outcomes regardless of measured adherence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.022
GPT teacher head0.367
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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