Risk Factors and Outcomes of Late-Onset Bacterial Sepsis in Preterm Neonates Born at < 32 Weeks' Gestation
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: This study aims to identify the incidence, risk factors, and outcomes of late-onset sepsis in preterm neonates in Canadian neonatal intensive care units (NICUs). STUDY DESIGN: This retrospective analysis included preterm infants born at < 32 weeks' gestation and admitted to 29 NICUs in the Canadian Neonatal Network during the years 2010 and 2011. Infants were classified into three groups: no infection, gram-positive infection, and gram-negative infection. Late-onset sepsis was defined as positive blood and/or spinal fluid cultures after 3 days of birth. Risk factors and the primary outcome of mortality or bronchopulmonary dysplasia (BPD) were compared between the groups. RESULTS: Out of the 7,509 neonates, 6,405 (85%) had no infection, 909 (12%) had gram-positive, and 195 (3%) had gram-negative infections. Lower gestation, higher Score for Neonatal Acute Physiology, version II scores, the presence of central catheters for > 4 days, parenteral nutrition for > 7 days, and prolonged duration of nothing by mouth were associated with late-onset sepsis. After controlling for confounders, the odds ratio (OR) of mortality/BPD were higher in infants who had gram-negative (OR 2.79, 95% confidence interval [CI] 1.96-3.97) and gram-positive (OR 1.44, 95% CI 1.21-1.71) sepsis as compared with no infection. CONCLUSIONS: Bacterial late-onset sepsis in very preterm neonates was associated with mortality and BPD. Neonates with gram-negative sepsis had the highest risk of adverse outcomes as compared with gram-positive sepsis or no sepsis.
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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 | 0.000 |
| 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 it