The safety profile and effectiveness of propofol‐remifentanil mixtures for total intravenous anesthesia in children
Bibliographic record
Abstract
Abstract Background Total intravenous anesthesia is used in less than 10% of operations in the UK. Many pediatric anesthetists in the UK and Ireland administer total intravenous anesthesia to children using a mixture of propofol and remifentanil in the same syringe. This unlicensed drug has not been studied clinically, because of lack of Medicines and Healthcare products Regulatory Agency (UK) or Food and Drug Administration (US) approval to undertake such studies. Aim The aim of this service evaluation was to assess the safety profile and effectiveness of propofol‐remifentanil mixtures in the pediatric population undergoing a variety of surgical procedures. Methods Pediatric Anesthetists in the UK and Ireland who regularly used propofol‐remifentanil mixtures for total intravenous anesthesia were invited to submit data. This data were analyzed to assess the effectiveness of anesthesia and the incidence and nature of any complications that occurred. Results Usable data were collected from 873 patients. Mixtures were most commonly administered in gastroenterology and ear, nose, and throat procedures. Two‐thirds of patients were less than 10 years old, and their mean weight was 28.7 kg. Anesthesia using the mixture alone was successful in all but 3 patients. The commonest nonserious complication was coughing (4.6%), followed by movement (3.3%). The overall incidence of serious, related, unexpected adverse events requiring intervention was 1.7%. These included desaturation (5 patients), apnea (3), abdominal/chest rigidity (2), cough requiring paralysis (2), ventilatory problems (2), and hypotension (1). Most occurred at induction, were attributable to the properties of the drugs being administered and not directly related to the use of the mixture. No life‐threatening adverse events were recorded. Complications were less common if a ≤5 μg mL−1concentration of remifentanil was used. Conclusion These data demonstrate that effective anesthesia can be administered to pediatric patients undergoing a wide range of procedures using mixtures of propofol and remifentanil. Serious, related, unexpected adverse events requiring intervention had a low incidence and were largely due to predictable effects of the drugs being administered. A ≤5 μg mL−1remifentanil concentration is associated with proportionately less complications.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".