Prolonged Rupture of Membranes, Neonatal Outcomes and Management Guidelines
Bibliographic record
Abstract
BACKGROUND: Prolonged rupture of membranes (PROM) is a risk factor for early-onset neonatal sepsis (EOS). In the absence of early specific and sensitive diagnostic tools, management of asymptomatic infants is difficult. This study was conducted to investigate clinical outcomes of newborns born to mothers with PROM. METHODS: A retrospective study of neonates ≥ 34 weeks admitted due to PROM was conducted. Medical charts were reviewed. Neonates were classified into three categories based on their status at birth: ill appearing, well, and equivocal. Sepsis risk calculator was retrospectively applied. RESULTS: A total of 176 neonates were included. All mothers had unknown group B streptococcus (GBS) status. Of them, 74.4% were asymptomatic. Nine infants (5%) had positive cultures, and 23 infants (13%) had culture-negative sepsis. The newborns with sepsis fit into the "ill appearing" category with a significantly higher proportion (12.5% vs. 0.0%, P value < 0.0). CONCLUSIONS: Reliable early diagnostic tools for neonatal sepsis are lacking. Adopting a protocol that utilizes multiple methods and follow-up for the clinical condition of these infants are the key factors to avoid missing neonates with true sepsis and decreasing the use of antibiotics in those without infection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.022 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".