Acute bacterial meningitis in Polish children – assessment of risk factors of neurological complications
Bibliographic record
Abstract
Introduction: Bacterial meningitis remains a potential problem for contemporary pediatrics, as regards both treatment and further care of patients with long-term complications. The aim of this study is to identify the most common neurological complications of acute bacterial meningitis among children and their main risk factors of occurrence. Material and methods: We analyzed data on cases of children with bacterial meningitis hospitalized in The Infectious Diseases Department in St. Joseph Children’s Hospital in Poznan, between 2010 and 2020. We considered Streptococcus pneumoniae and Neisseria meningitidis as etiological factors. Data on neurological complications were obtained during follow-up visits and as a result of telephone surveys. Results: We identified 75 patients (1 month up to 17 years of age) with acute bacterial meningitidis with the etiological factors Streptococcus pneumoniae and Neisseria meningitidis; 2 of them died as a result of infection (2.66%). Data on short and long-term complications were obtained from 59 patients. We observed complications among 42 children; the most frequent complications were cognitive impairment (31.37%), subdural effusion (17.19%), focal neurological deficits (15.6%), and hearing disorders (14.0%). Patients with neurological complications showed a higher frequency of lower count of neutrophils < 13.8 × 10³/μl (p < 0.01), a lower hemoglobin level < 12.0 g/dl (p < 0.00), and platelet levels above 340 x 10³/μl (p < 0.02). Risks factors of neurological complications occurrence were irritability at admission (p < 0.04) , age of patients under 34 months (95 CI%: 0.58–0.86), and length of hospitalization over 14 days (95 CI%: 0.70–0.92). Conclusions: Despite the introduction of protective vaccination, bacterial meningitis is still a life-threatening disease that leads to significant neurological consequences. It is important to recognize patients with risk factors of neurological complications to provide them with multidisciplinary medical care later in life.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".