Predictors of Bacteremia Among Children With Sickle Cell Disease Presenting With Fever
Bibliographic record
Abstract
INTRODUCTION: Bacterial sepsis is more common and potentially life threatening in children with sickle cell disease (SCD). Identification of variables that predict bacteremia may aid clinicians in recognizing patients with SCD at higher risk for sepsis. OBJECTIVE: To determine whether absolute neutrophil count (ANC) >20×10/L is an independent risk factor for bacteremia in children with SCD and to identify other predictors of bacteremia in this population. METHODS: A case-control study was conducted. Subjects were 0 to 18 years of age admitted to a tertiary care pediatric hospital over a 17-year period with SCD and fever at presentation. Cases had bacteremia, whereas controls had negative blood cultures. RESULTS: Data were analyzed for 40 cases and 120 controls. ANC>20×10/L was significantly more prevalent among cases (odds ratio [OR], 7.0; 95% confidence interval [CI], 2.6-18.9). Cases were more likely to have emesis (OR, 2.9; 95% CI, 1.0-8.4) and a higher proportion of band cells (OR, 1.3; 95% CI, 1.1-1.4) at presentation. CONCLUSIONS: In a febrile child with SCD, an ANC>20×10/L, a higher proportion of band cells, and the presence of vomiting were associated with an increased likelihood of bacteremia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".