Remifentanil for procedural sedation: a systematic review of the literature
Bibliographic record
Abstract
OBJECTIVE: We sought to determine the performance characteristics of remifentanil as an agent of procedural sedation and analgesia (PSA) for adult and paediatric patients undergoing procedures similar to those executed in the ED. METHODS: We systematically reviewed electronically published literature, grey literature, conference proceedings and trial registries from 1946 to 2015. Outcome measures included PSA effectiveness, recovery time, patient safety and resource management. We performed narrative summary analyses. Heterogeneity among selected studies precluded meta-analysis. RESULTS: We found 1525 citations, reviewed 34 full manuscripts (kappa=0.64) and included 10 studies (kappa=0.71). Seven were randomised controlled trials and three studies took place in the ED. Included procedures were lumbar puncture (80), cardioversion (66), orthopaedic manipulation (63), incision and drainage (15), thoracostomy (8) and nasal packing (2). There was extensive variation in remifentanil dosing (0.15- 1.5 μg/kg), administration protocols and use of additional PSA drugs. All studies noted superior or equivalent sedation effectiveness compared withcontrols. Several studies, including all those performed in the ED, noted faster procedure completion or patient recovery with remifentanil compared with control groups. The most commonly reported adverse event was respiratory depression, especially in paediatric patients. All studies were found to carry significant risk of bias. CONCLUSIONS: There is currently a lack of high-quality data on the use of remifentanil in the ED. Physicians should exert caution when using remifentanil in the absence of published standardised dosing protocols in light of frequently reported paediatric respiratory depression. However, PSA efficacy combined with faster recovery times merit ongoing investigations into its use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".