Risk factors for mortality and re-admission of children with hematological malignancies to the intensive care unit due to sepsis
Bibliographic record
Abstract
Children with hematological malignancies, are often hospitalized in pediatric intensive care units (PICU) for sepsis with high mortality and re-admission rates. Risk factors for both are inconsistent. We reviewed data of 190 admissions of children with hematological malignancies to PICU for sepsis. Survival rate (SR) was 85%. Mortality risk factors were: non-complete remission (p < 0.01) and status post-stem cell transplantation (p = 0.02), and best predictors were inotropic drugs (p < 0.01), and Pediatric logistic organ dysfunction-2 (p < 0.01) scores. Patients with viremia had the lowest SR (50%, 0.001). One-quarter of the children were re-admitted due to sepsis, and risk factors were: High-risk (HR) hematological malignancy (p < 0.01) and lack of central venous line (CVL) removal (p < 0.01). Sepsis remains a major cause of death in children with hematological malignancies, and re-admissions are common. Our findings support the recommendation of removing CVL during sepsis and highlight those at the highest risk for sepsis to consider individualized anti-infectious prophylaxis.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".