Inflammatory Mediators in Umbilical Plasma from Neonates Who Develop Early-Onset Sepsis
Bibliographic record
Abstract
OBJECTIVES: To study whether early-onset neonatal sepsis is associated with a prenatal immune response with elevated umbilical plasma levels of inflammatory mediators, and to study whether mediator levels may be helpful in identifying infected neonates. SETTING: Nested case-control study. METHODS: Cord blood was sampled from 7,073 consecutively delivered neonates. After review of the medical records, neonates suspected to suffer from infection were classified as infected (n = 52) or noninfected but sick controls (n = 33). We also included a group of healthy controls (n = 99). Umbilical plasma levels of tumour necrosis factor-alpha (TNFalpha), interleukin (IL)-1beta, IL-6, IL-8, soluble TNF receptors (p55 and p75), IL-1 receptor antagonist (IL-1RA) and C-reactive protein were measured by immunoassays. RESULTS: Infected neonates had higher levels of TNFalpha, IL-1beta, IL-6, IL-8, p55, p75 and IL-1RA than healthy controls (all p < 0.01). Among preterm infants (GA <37 weeks), those with infection (n = 11) had higher levels of IL-1beta, IL-6, IL-8, p55 and p75 than noninfected sick controls (n = 13) (all p < 0.05), but among term infants, the infected did not differ from the noninfected sick controls. Receiver operator characteristic plots showed that IL-1beta, IL-6 and IL-8 identified preterm infected neonates accurately. CONCLUSIONS: Early-onset neonatal sepsis is associated with a prenatal immune response with increased TNFalpha, IL-1beta, IL-6, IL-8, p55, p75 and IL-1RA levels in umbilical plasma. Among neonates who present symptoms suggestive of infection, cytokine levels may be helpful in identifying preterm, but not term infected individuals.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".