Patient Outcomes With Febrile Neutropenia Based on Time to Antibiotics in the Emergency Department
Bibliographic record
Abstract
OBJECTIVE: Although bacteremia in pediatric oncology patients with febrile neutropenia (FN) is not uncommon, sepsis and mortality are rare. Because of the lack of clinically meaningful decision tools to identify high-risk patients with bacteremia, time to antibiotic administration (TTA) is increasingly considered an important quality and safety measure in the emergency department. Because little evidence exists suggesting that this benchmark is beneficial, we sought to determine whether TTA of 60 minutes or less is associated with improved outcomes. METHODS: We retrospectively reviewed patients presenting to a pediatric emergency department with FN from November 2013 to June 2016. Clinical outcomes including mortality, pediatric intensive care unit admission, imaging, fluid resuscitation of 40 mL/kg or greater in the first 24 hours, and length of stay were compared between TTA of 60 minutes or less and more than 60 minutes. RESULTS: One hundred seventy-nine episodes of FN were analyzed. The median TTA was 76 minutes (interquartile range, 58-105). The incidence of bacteremia was higher in patients with TTA of more than 60 minutes (12% vs 2%, P = 0.04), but without impact on mortality, pediatric intensive care unit admission, fluid resuscitation, or median length of stay. The median TTA was not different for those who were and were not bacteremic (91 vs 73 minutes, P = 0.11). CONCLUSIONS: Time to antibiotic administration of more than 60 minutes did not increase mortality in pediatric oncology patients with FN. Our study adds to the existing literature that TTA of 60 minutes or less does not seem to improve outcomes in pediatric FN. Further larger studies are required to confirm these findings and determine which features predispose pediatric FN patients to morbidity and mortality.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".