Norepinephrine infusion improves haemodynamics in the preterm infants during septic shock
Bibliographic record
Abstract
Abstract Aim This study evaluated the clinical and haemodynamic effects of norepinephrine infusion in preterm infants. Methods The effects of norepinephrine therapy for refractory hypotension were evaluated in preterm infants between April 2009 and April 2011 at the neonatal intensive care unit of Sainte‐Justine Hospital, Montreal, Quebec. Changes in haemodynamics and clinical parameters were analysed eight hours before and eight hours after the start of norepinephrine infusion, and eight hours after its cessation. Results During the study, 30 preterm infants at a mean gestational age of 26.5 ± 2.6 weeks (median: 25.7, 23.4–34) and birthweight of 903 ± 437 g (median 827, 450–2550) received norepinephrine infusion for neonatal septic shock. After eight hours of treatment, mean blood pressure, urine output and FiO2 significantly improved. Eight hours after cessation of norepinephrine infusion, the number of patients treated with other inotropes decreased significantly, 24 patients (80%) had normal mean blood pressure and 27 patients (90%) had normal urine output. Conclusion Norepinephrine therapy could be considered to improve blood pressure and urine output during neonatal septic shock in preterm infants. Further studies are needed to prove the efficacy and safety of norepinephrine infusion in neonates.
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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) | 0.000 | 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 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".