Safety of meningococcal group B vaccination in hospitalised premature infants
Bibliographic record
Abstract
OBJECTIVES: To assess the risk of significant adverse events in premature infants receiving the novel 4-component group B meningococcal vaccine (4CMenB) with their routine immunisations at 2 months of age. PARTICIPANTS, DESIGN AND SETTING: In December 2015, Public Health England requested neonatal units across England to voluntarily participate in a national audit; 19 units agreed to participate. Anonymised questionnaires were completed for infants receiving 4CMenB alongside their routine immunisations. For comparison, a historical cohort of premature infants receiving their primary immunisations without 4CMenB or paracetamol prophylaxis was used. MAIN OUTCOME MEASURES: Paracetamol use; temperature, cardiovascular, respiratory and neurological status before and after vaccination; and management and investigations postvaccination, including serum C reactive protein levels, infection screens and antibiotic use. RESULTS: Complete questionnaires were returned for 133 premature infants (<35 weeks' gestation) who received their first dose of 4CMenB at 8 weeks of age, including 108 who received prophylactic paracetamol according to national recommendations. Overall, 7% (8/108) of infants receiving 4CMenB with paracetamol had fever (>38°C) after vaccination compared with 20% (5/25) of those receiving 4CMenB without paracetamol (P=0.06) and none of those in the historical cohort. There were no significant differences between cohorts in the proportion of infants with apnoea, bradycardia, desaturation and receiving respiratory support after vaccination. CONCLUSIONS: 4CMenB does not increase the risk of serious adverse events in hospitalised premature infants. This audit supports the current national recommendations to offer 4CMenB with other routine vaccinations and prophylactic paracetamol to premature infants at their chronological age.
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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 | 0.002 | 0.016 |
| 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 | 0.001 | 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".