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Record W2805681654 · doi:10.1177/0825859718777343

The Use of Intranasal Fentanyl for the Palliation of Incident Dyspnea in Advanced Congestive Heart Failure: A Pilot Study

2018· article· en· W2805681654 on OpenAlexaff
Jana Pilkey, Allison Pedersen, James W. Tam, Amrit Malik, Jonathan Wong

Bibliographic record

VenueJournal of Palliative Care · 2018
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsWinnipeg Regional Health AuthorityUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineFentanylHeart failureAnesthesiaHeart ratePalliative careTachypneaPopulationAdverse effectInternal medicineTachycardiaBlood pressure

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.041
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

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

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 head0.082
GPT teacher head0.357
Teacher spread0.275 · 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 teacher head, 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

Citations12
Published2018
Admission routes1
Has abstractyes

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