The Use of Intranasal Fentanyl for the Palliation of Incident Dyspnea in Advanced Congestive Heart Failure: A Pilot Study
Bibliographic record
Abstract
BACKGROUND:: Dyspnea is distressing in palliative patients with end-stage heart failure and many are hospitalized to optimize this symptom. We hoped to conduct a pilot study to determine whether the administration of intranasal fentanyl would decrease activity-induced dyspnea in this patient population. METHODS:: Patients performed two 6-minute walk tests with and without the administration of 50 μg of intranasal fentanyl. Vital signs were recorded before and after each walk, as were participant reported dyspnea and adverse events scores. RESULTS:: Twenty-four patients were screened, 13 were deemed eligible, and 6 completed the study. Dyspnea scores changed from a mean of 6.00 immediately after the walk without fentanyl to a mean of 3.83 after the walk with fentanyl ( P = .048). Mean respiratory rate decreased from 21.0 to 18.7 ( P = .034) breaths per minute and was considered a favorable outcome by the participants. Distance walked did not significantly increase with the fentanyl pretreatment (136.0-144.2 m; P = .283), although the participants reported feeling better while walking a similar distance. CONCLUSIONS:: In this pilot study, the preadministration of intranasal fentanyl prior to activity in palliative, end-stage hospitalized heart failure patients, safely reduced tachypnea, and the feeling of shortness of breath. This approach may help palliate advanced heart failure patients by alleviating symptoms brought on by exertional activities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".