A study on the obstetric outcome in preterm pre-labour rupture of membranes
Bibliographic record
Abstract
Background: The major risks to the baby following preterm pre-labour rupture of membranes (PPROM) are related to the complications of prematurity. Since the goal of management in PPROM is prolongation of pregnancy, the most commonly accepted management scheme for the patient less than 34 weeks is expectant management in the hospital which consists of careful observation for signs of infection, labour or fetal distress in an effort to gain time for fetal growth and maturation.Methods: Patients admitted in Obstetrics and Gynaecology Department SAT Hospital, Medical College Trivandrum, Kerala with PPROM meeting the inclusion and exclusion criteria were recruited for the study. They were followed in the antenatal, intrapartum and postnatal period and the babies were also followed in the postnatal ward. The maternal and neonatal outcome were analysed and studied.Results: Maternal chorioamnionitis developed in 12.1% of cases, abruption 1.7%, puerperal pyrexia 8.8%, early onset neonatal sepsis in 22.9% of cases, congenital pneumonia in 17% cases and neonatal deaths in 6.3% of cases. The mean gestational age at delivery in this study was 33.42 weeks with majority of cases delivering between 32-34 weeks.Conclusions: The study suggests that maternal chorioamnionitis, puerperal pyrexia, congenital pneumonia, early onset neonatal sepsis, neonatal death, and requirement for ICU care occur with increased frequency in cohorts with PPROM. The present study concluded that most common maternal morbidity associated with PPROM was chorioamnionitis, that of neonatal morbidity was prematurity and its complications. A team effort by the obstetrician and neonatologist in a tertiary care setting can ensure healthy and fruitful life for the mother and her baby.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".