MétaCan
Menu
Back to cohort

Incidence and Predictors of Long-Term Hypnotic Receipt among Patients with Chronic Obstructive Pulmonary Disease

2025· article· en· W4407395858 on OpenAlexaff
J.M. Castaneda, Aristotle Leonhard, Laura J. Spece, Kevin I. Duan, Brian N. Palen, Jessica Chen, Y. Irina Li, Steven B. Zeliadt, Kevin Josey, Laura C. Feemster, David H. Au, Lucas M. Donovan

Bibliographic record

VenueAnnals of the American Thoracic Society · 2025
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsUniversity of British Columbia
FundersHealth Services Research and DevelopmentU.S. Department of Veterans Affairs
KeywordsMedicinePulmonary diseaseIncidence (geometry)ReceiptHypnoticInternal medicineTerm (time)Intensive care medicineChronic diseaseAnesthesia

Abstract

fetched live from OpenAlex

Abstract Rationale Many patients with chronic obstructive pulmonary disease (COPD) receive hypnotic prescriptions to mitigate insomnia symptoms. Although clinical practice guidelines advise short-term use, patients often receive these medications on a long-term basis. Because patients with COPD may be more susceptible to adverse effects of hypnotic medication, it is critical that we better understand the incidence and potential influences of this practice. Objectives To characterize the incidence and predictors of guideline-discordant long-term receipt of hypnotic medications among patients with COPD. Methods Using nationwide Veterans Health Administration data, we identified patients with clinically diagnosed COPD from 2010 to 2019 without prior hypnotic medication receipt in the previous 1 year. To identify individuals with new hypnotic agent use, we restricted this sample to those who received at least 30 total days of zolpidem, melatonin, trazodone, and/or doxepin within a 90-day period. We defined long-term hypnotic medication receipt as continued availability of one of these hypnotic medications for ≥30 days within the subsequent 90-day period. We then used a mixed-effects logistic regression model to assess patient and site-level associations with long-term receipt. Results Among 4,262 patients with COPD and new hypnotic medication receipt, 55.6% (n = 2,371) continued to receive hypnotic medications on a long-term basis. Long-term receipt was positively associated with short-acting β-agonist receipt (for every 10% increase in days with short-acting β-agonist availability, odds ratio [OR], 1.03; 95% confidence interval [CI], 1.02–1.05), maintenance inhaler prescriptions (monotherapy, OR, 1.35; 95% CI, 1.10–1.68; dual therapy, OR, 1.43; 95% CI, 1.20–1.70; triple therapy, OR, 1.54; 95% CI, 1.24–1.91), posttraumatic stress disorder (OR, 1.21; 95% CI, 1.02–1.44), major depressive disorder (OR, 1.24; 95% CI, 1.07–1.44), anxiety disorder (OR, 1.21; 95% CI, 1.03–1.44), and more frequent primary care visits (more than five visits in the past 12 mo, OR, 1.86; 95% CI, 1.19–2.90). Long-term receipt was negatively associated with initial receipt of melatonin (OR, 0.70; 95% CI, 0.55–0.91) and more than one pulmonary visit in the previous 12 months (OR, 0.74; 95% CI, 0.56–0.97). Conclusions Despite guideline recommendations, long-term hypnotic medication receipt is common among patients with COPD. Future work to prevent long-term hypnotic prescriptions should consider the role that respiratory symptoms and mental health comorbidities may have in driving this practice.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.364
Teacher spread0.339 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the American Thoracic SocietySame topicHealth and Well-being StudiesFrench-language works237,207