The importance of maintaining normal perioperative physiological parameters in children during anaesthesia
Bibliographic record
Abstract
Every year, millions of neonates, infants and young children need general anesthesia for a variety of procedures. As pediatric anesthesia remains at high risk of perioperative morbidity and mortality, attention has been directed towards the anesthesia training and the anesthetics safety. We are now reassured about the relatively safeness of the anesthetic drugs, but the safest intraoperative conduct has still to be determined. In the absence of clear evidence, it appears logical to prevent perturbations of the child “baseline”, by avoiding preoperative distress, maintaining normal intraoperative parameters and preventing postoperative discomfort. Recently, ten “N” principles (no fear/awareness, normovolemia, normotension, normal heart rate, normoxemia, normocapnia, normonatremia, normoglycemia, normotermia and no pain/nausea/vomiting/emergence delirium) have been proposed as the base of a safer anesthesia care. The current paper aims to summarize the current evidence behind the “10-Ns” rational and to help guide anesthesiologists in their practice.
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 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 | 0.000 | 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) | 0.000 | 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".