Prognostic Factors of Early Neonatal Sepsis in the City of Cartagena Colombia
Bibliographic record
Abstract
INTRODUCTION: The obstetirc or noenatal risk factors, are in many cases the major evidence to define and forecast of an early neonatal sepsis, considering that a newborn that has lived less tan 72 hours presents unspecified clinical manifestations and the diagnostic exams utilize infectious and inflammatory markers, with there being very litttle scientific evidence to support and establish an early diagnosis. Objective: Associate the obstetric and neonatal risk factors with the presence of early sepsis in Cartagena. MATERIALS & METHODS: A retrospective study of cases and controls was conducted. The sample consisted of 183 cases and 366 controls, including pacients who met simultaneously inclusion and exclusion criteria. A bivariated analysis and a multivariated model of regression logistics were used. RESULTS: Among the associtated variables and early sepsis in which it was able to define the risk that is found when there is a premature membrane rupture > 18 hours (OR 9,57 IC 95% 4,12-22,26), premature newborn (OR 8,19 IC 95% 3,66-18,3), the presence of maternal fever (OR 6,49 IC 95% 3,43-12,3), marital status (OR 5,89 IC 95% 3,42-10,15) and level of education (OR 4,80 IC 95% 2,63-8,77). CONCLUSIONS: The mechanisms of fetal evaluation and maternal prophylaxis should be prioritized in the cases of pregnant women that present a premature membrane rupture >18 hours, and have kids who were born premature and living in couple with a low level of education.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".