Research with the intranasal dexmedetomidine in pediatric undergoing tonsillectomy and adenoidectomy
Bibliographic record
Abstract
Objective To discuss the efficiency and security of intranasal dexmedetomidine(Dex) with different dosage in pediatric anesthesia undergoing tonsillectomy and adenoidectomy. Methods One hundred and sixty patients aged from 3 to 7, undergoing selective tonsillectomy and adenoidectomy, ASAⅠ or Ⅱ, were randomly divided into four groups(n=40): Dex 1.0 μg/kg(D1.0 group), Dex 1.5 μg/kg(D1.5 group), Dex 2.0 μg/kg(D2.0 group), and control group(S group). Thirty min pre-operation, patients received intranasal naristillae, the volume is 1 ml, records the MAP, HR, and SpO2 every 10 min after intranasal naristillae. Then patients were given intravenous puncture and Funk score were recorded. Anesthesia is inducted with propofol 2 mg/kg, fentanyl 3 μg/kg, and vecuromium 0.1 mg/kg through endotracheal intubation. Anesthesia is maintained with sevoflurane and remifentanil with continued perfusion until the operation finished. Recovery time, extubation time, evaluated Pediatric Aesthesia Emergence Delirium(PAED) score and Modified the Children's Hospital of Eastern Ontario Pain Scale(m-CHEOPS) score in recovery room were recorded. Results The intravenous puncture resistance scores are significantly lower in D1.0 group than scores of those groups(P 0.05). The consumption of remifentanil is higher in control group compared with Dex groups(P<0.05), MAP and HR at T5 and T6 are also higher in control group(P<0.05). PAED scores and m-CHEOPS scores are higher in control group than scores of Dex groups(P<0.05). There are two patients had drowsiness symptom in D2.0 group. Conclusions Intranasal Dex 30 min pre-operation have efficiency and security in pediatric undergoing tonsillectomy and adenoidectomy. The dosage of intranasal Dex with 1.0 μg/kg and 1.5 μg/kg are safer than dosage of 2.0 μg/kg. Key words: Dexmedetomidine; Pediatric; Intranasal; Fonsillectomy; Adenoidectomy
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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".