Cardiac Agents during Neonatal Cardiopulmonary Resuscitation
Bibliographic record
Abstract
BACKGROUND: Epinephrine (adrenaline) is currently the only cardiac agent recommended during neonatal resuscitation. The inability to predict which newborns are at risk of requiring resuscitative efforts at birth has prevented the collection of large, high-quality human data. SUMMARY: Information on the optimal dosage and route of epinephrine administration is extrapolated from neonatal animal studies and human adult and pediatric studies. Adult resuscitation guidelines have previously recommended vasopressin use; however, neonatal studies needed to create guidelines are lacking. A review of the literature demonstrates conflicting results regarding epinephrine efficacy through various routes of access as well as vasopressin during asystolic cardiac arrest in animal models. Vasopressin appears to improve hemodynamic and post-resuscitation outcomes compared to epinephrine in asystolic cardiac arrest animal models. KEY MESSAGES: The current neonatal resuscitation guidelines recommend epinephrine be primarily given via the intravenous or intraosseous route, with the endotracheal route as an alternative if these routes are not feasible or unsuccessful. The intravenous or intraosseous dose ranges between 0.01 and 0.03 mg/kg, which should be repeated every 3-5 min during chest compressions. However, the optimal dosing and route of administration of epinephrine remain unknown. There is evidence from adult and pediatric studies that vasopressin might be an alternative to epinephrine; however, the neonatal data are scarce.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".