Pediatric Basic and Advanced Life Support: An Update on Practice and Education
Bibliographic record
Abstract
This review aims to summarize the major changes in the 2010 Heart and Stroke foundation of Canada (HSFC) and the American Heart Association (AHA) Pediatric Basic and Advanced Life Support Guidelines. The Guidelines were based on the International Liaison Committee on Resuscitation's (ILCOR) comprehensive, evidence-based review of the resuscitation literature. The key recommendations from the Guidelines include: the removal of "look, listen and feel" and a de-emphasis on the use of the pulse check by healthcare providers to diagnose cardiac arrest; a change in the sequence of resuscitation for patients in cardiac arrest from the previously well-known "A-B-C" i.e. Airway, Breathing, and Chest Compressions to "C-A-B" i.e. Chest Compressions first; modification to the appropriate depth of compression (at least 1/3 of the anterior-posterior depth of the chest wall or about 4 cm in infants and 5 cm in children); end-tidal CO(2) monitoring (in intubated patients) to assess the quality of chest compressions and optimize cardiopulmonary resuscitation (CPR); and titrating Fi0O2 once "Return of Spontaneous Circulation" (ROSC) is achieved to maintain an oxygen saturation between 94-99%. Overall, pediatricians, family and community physicians who may care for acutely ill children should be aware of these updated guidelines in order to provide the best possible care to their patients.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".