Prevalence of Bacteremia in Febrile Patients With Sickle Cell Disease
Bibliographic record
Abstract
Objective Pneumococcal vaccination has decreased the bacteremia rate in both the general pediatric and sickle cell disease (SCD) populations. Despite this decrease, and an increasing concern for antibiotic resistance, it remains standard practice to obtain blood cultures and administer antibiotics in all febrile (>38.5°C) patients with SCD. We conducted a systematic review and meta-analysis of the available studies of the prevalence of bacteremia in febrile patients with SCD. Methods We searched the medical literature up to November 2018 in PUBMED, EMBASE, and Web of Science with terms epidemiology , prevalence , bacteremia , and sickle cell anemia . We only included studies with patients after 2000, when the pneumococcal 7-valent conjugate (PCV7) vaccine became widely available. The prevalence of bacteremia [95% confidence interval (CI)] was calculated by dividing the number of positive blood cultures by the number of febrile episodes. The I 2 statistic measured heterogeneity between prevalence estimates. Bias in our studies was quantified by the Newcastle-Ottawa Quality Assessment Scale. Results Our search identified 228 citations with 10 studies meeting our inclusion/exclusion criteria. The weighted prevalence of bacteremia across all studies was 1.9% (95% CI, 1.22%–2.73%), and for Streptococcus pneumoniae bacteremia, it was 0.31% (95% CI, 0.16%–0.50%). Risks for bacteremia except central lines could not be determined because of the low prevalence of the outcome. Conclusions There appears to be a need to develop a risk stratification strategy to guide physicians to manage febrile patients with SCD based on factors including, but not limited to, history and clinical examination, vaccination status, use of prophylactic antibiotics, laboratory values, likely source of infection, and accessibility to health care.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".