Preventive effect of propfol on pediatric emergence delirium( ED) after sevofluranebased anesthesia
Bibliographic record
Abstract
Objective To observe the preventive effect of propofol on pediatric emergence delirium( ED) after sevoflurane-based anesthesia. Methods 60 children of American Society of Anesthesiologists( ASA)Ⅰ,aged between 2and 7 years undergoing adenoidectomy or with tonsillectomy in sevoflurane anesthesia were randomly assigned to three groups,20 cases in each group,they were treated with propofol 1 mg / kg( group P 1. 0),propofol 0. 5 mg / kg( group P0. 5),or normal saline( group NS) at the end of operation. The assessment of basic emotion were recorded and the blood pressure,heart rate,oxygen saturation and resistant of venous puncture were monitored after entering the operating room.All the children were induced by sevoflurane and 50% nitrous oxide,and maintained with 50% nitrous oxide and 50% oxygen. Resistance score of face mask,blood pressure,heart rate and oxygen saturation,MAC,ETCO2 and time of operation,extubation and awakening were recorded. The incidence and severity of ED were evaluated with the Pediatric anaesthesia emergence delirium( PAED) scale and severity of pain was evaluated with modified Children's Hospital of Eastern Ontario Pain Scale( m-CHEOPS). Results The mean PAED score in group P 1. 0 and group P 0. 5 were lower than those in group NS at each time point( P 0. 05). There was no significant difference in the mean PAED score between group P1. 0 and group P 0. 5( P 0. 05). The awakening time and extubation time of group P 1. 0 was longer than that of group NS( P 0. 05),while no significant difference existed between group P 0. 5 and group NS( P 0. 05). Conclusion Administrating propofol with doses of 1 mg / kg and 0. 5 mg / kg both have preventive effect on EA,and propofol 0. 5 mg / kg will not extend the time of awakening and extubation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".