Midtrimester Intra-Amniotic Sludge and the Risk of Spontaneous Preterm Birth
Bibliographic record
Abstract
We examined the association between midtrimester intra-amniotic sludge and spontaneous preterm birth (PTB) in asymptomatic women undergoing amniocentesis. We performed a prospective cohort study of women having an amniocentesis for fetal karyotyping between 14 and 24 weeks' gestation. Cervical length and the presence of amniotic sludge were assessed by transvaginal ultrasound. Amniotic fluid concentrations of matrix metalloproteinase-8, glucose and lactate were measured. Early (<32 weeks) and late (32 to 36 weeks) preterm premature rupture of membranes (PPROM) and spontaneous PTB constituted primary outcomes. Nonparametric analyses were conducted. Three hundred ten women, including 94 (30%) with free-floating echogenic particles and 16 (5%) with dense amniotic sludge, were recruited. Dense amniotic sludge was linked with early (13%) but not with late (0%) primary outcome ( P < 0.01). Two women with combined dense amniotic sludge and short cervix delivered 4 and 10 weeks later (at 20 and 25 weeks, respectively) and had a higher median amniotic lactate concentration than controls ( P < 0.05). A third woman with dense amniotic sludge at 15 weeks was diagnosed with a short cervix and an intra-amniotic infection at 22 weeks that was eradicated with intravenous antibiotics. Midtrimester dense amniotic sludge is associated with early PPROM and spontaneous PTB.
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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 | 0.007 |
| 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".