Pneumococcal Meningitis in a Child With Sickle Cell Anemia: A Case Report
Bibliographic record
Abstract
Children with sickle cell disease are mainly exposed to various infections, among which there is bacterial meningitis. We present a brief report of a pneumococcal meningitis, due to Streptococcus pneumoniae 33F, in a 3-year-old boy of African race with sickle cell anemia. He was vaccinated against Streptococcus pneumoniae with 13-valent vaccine, and he was also on antibiotic prophylaxis. The child has been successfully treated with cephalosporins for a complete duration of 6 weeks, while hospitalization lasted about 3 weeks. Ceftriaxone was replaced by cefotaxime to avoid risk of hemolysis, as we found in literature. During recovery, the little boy presented with osteomyelitis, so vancomycin was added to therapy with good results. Finally, neurosensorial deafness was found, thus the child was quickly directed to cochlear implant intervention. This case report revealed that sometimes pneumococcal vaccination and antibiotic prophylaxis are not enough to prevent pneumococcal meningitis in children with sickle cell disease. Moreover, we noticed that cefotaxime avoids autoimmune hemolysis, which may be fatal to anemic children, while vancomycin may help to prevent complications such as osteomyelitis. Int J Clin Pediatr. 2015;4(2-3):168-170 doi: http://dx.doi.org/10.14740/ijcp225w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".