Polypharmacy Increases Risk of Dyspnea Among Adults With Serious, Life-Limiting Diseases
Bibliographic record
Abstract
BACKGROUND: Polypharmacy is associated with dyspnea in cross-sectional studies, but associations have not been determined in longitudinal analyses. Statins are commonly prescribed but their contribution to dyspnea is unknown. We determined whether polypharmacy was associated with dyspnea trajectory over time in adults with advanced illness enrolled in a statin discontinuation trial, overall, and in models stratified by statin discontinuation. METHODS: Using data from a parallel-group unblinded pragmatic clinical trial (patients on statins ≥3 months with life expectancy of 1 month to 1 year, enrolled in the parent study between June 3, 2011, and May 2, 2013, n = 308/381 [81%]), we restricted analyses to patients with available baseline medication count and ≥1 dyspnea score. Polypharmacy was assessed by self-reported chronic medication count. Dyspnea trajectory group, our primary outcome, was determined over 24 weeks using the Edmonton Symptom Assessment System. RESULTS: The mean age of the patients was 73.8 years (standard deviation [SD]: ±11.0) and the mean medication count was 11.6 (SD: ±5.0). We identified 3 dyspnea trajectory groups: none (n = 108), mild (n = 130), and moderate-severe (n = 70). Statins were discontinued in 51.8%, 48.5%, and 42.9% of patients, respectively. In multivariable models adjusting for age, sex, diagnosis, and statin discontinuation, each additional medication was associated with 8% (odds ratio [OR] = 1.08 [1.01-1.14]) and 16% (OR = 1.16 [1.08-1.25]) increased risk for mild and moderate-severe dyspnea, respectively. In stratified models, polypharmacy was associated with dyspnea in the statin continuation group only (mild OR = 1.12 [1.01-1.24], moderate-severe OR = 1.24 [1.11-1.39]) versus statin discontinuation (mild OR = 1.03 [0.95-1.12], and moderate-severe OR = 1.09 [0.98-1.22]). CONCLUSION: Polypharmacy was strongly associated with dyspnea. Prospective interventions to decrease polypharmacy may impact dyspnea symptoms, especially for statins.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".