Etiology of community-acquired bacterial meningitis in children at a tertiary-care centre in Montreal, Canada
Bibliographic record
Abstract
Abstract Objectives This study aimed to identify the bacteria responsible for community-acquired bacterial meningitis in infants and children. Methods This was a retrospective cohort study including children aged 1 day to 18 years with confirmed bacterial meningitis, evaluated at a tertiary-care, Canadian emergency department between 2014 and 2022. The primary outcome was the pathogen identified. Other variables of interest were complications, age, and diagnostic method. Medical charts were reviewed by a co-investigator and 25% were assessed in duplicate. Results All 79 eligible cases were included. The main causal agents were Group B Streptococcus (GBS) (n = 20; 25%), Streptococcus pneumoniae (n = 16; 20%), Neisseria meningitidis (n = 16; 20%), and Haemophilus influenzae (n = 9; 11%). Etiology exhibited age-dependent variations, with 85% of GBS and 100% of Escherichia coli infections in children under 2 months. All pneumococcal and Group A Streptococcus cases were in children older than 6 months. All children infected by S. pneumoniae were vaccinated but the serotype was not covered by vaccination in 7/8 infections. All children with N. meningitidis were either too young to be vaccinated (n = 10) or infected by a serotype not covered by the given vaccine. Fifty-five bacteria were identified by cerebrospinal fluid culture, 17 by Polymerase Chain Reaction (PCR), and 7 by both methods. Conclusion GBS is now the leading etiology of paediatric community-acquired bacterial meningitis at our centre. The etiology of bacterial meningitis varies greatly by age. Future studies should focus on improving the serotype spectrum of vaccines, identifying strategies to lower GBS infection, and improving the use of PCR as a diagnostic tool.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".