Evaluation of a clinical protocol using intranasal fentanyl for treatment of vaso-occlusive crisis in sickle cell patients in the emergency department
Bibliographic record
Abstract
BACKGROUND: Vaso-occlusive crisis (VOC) is one of the most frequent causes of emergency visits and admission in children with sickle cell disease (SCD). OBJECTIVES: This study aims to evaluate whether the use of a new pain management pathway using intranasal (IN) fentanyl from triage leads to improved care, translated by a decrease in time to first opiate dose. METHODS: We performed a retrospective chart review of patients with SCD who presented to the emergency department (ED) with VOC, in the period pre- (52 patients) and post- (44 patients) implementation period of the protocol. Time to first opiate was the primary outcome and was evaluated pre- and postimplementation. Patients received a first opiate dose within 52.3 minutes of registration (interquantile range [IQR] 30.6, 74.6), corresponding to a 41.4-minute reduction in the opiate administration time (95% confidence interval [CI] -56.1, -27.9). There was also a 43% increase in the number of patients treated with a nonintravenous (IV) opiate as first opiate dose (95% CI 26, 57). In patients who were discharged from the ED, there was a 49% decrease in the number of IV line insertions (95% CI -67, -22). There was no difference in the hospitalization rates (difference of 6 [95% CI -13, 25]). CONCLUSIONS: This study validates the use of our protocol using IN fentanyl as first treatment of VOC in the ED by significantly reducing the time to first opiate dose and the number of IVs.
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 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 | 0.037 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".