Maternal blood endotoxin activity in pregnancies complicated by preterm premature rupture of membranes
Bibliographic record
Abstract
Stefania Ronzonia*, Rohan D’Souzab, Oksana Shynlovac, Stephen Lyec & Kellie E. Murphyba Department of Obstetric and Gynecology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada; b Department of Obstetrics and Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Canada; c Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, CanadaCONTACT Stefania Ronzoni stefania.ronzoni@sunnybrook.ca Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario, CanadaAbstractObjective: To compare maternal blood endotoxin activity (EA) in women with preterm premature rupture of membranes (PPROM) with gestational age (GA) matched controls; to evaluate serial EA till birth in PPROM and its correlation with latency to delivery.Methods: We followed singleton preterm pregnancies from admission with PPROM until birth. Uncomplicated, GA-matched pregnancies served as controls. Demographics, birth and neonatal outcomes were collected. EA (EAA™) was assessed serially in PPROM and at study entry in controls. EA was compared using Mann Whitney and Wilcoxon tests, p value <.05 was considered significant.Results: We recruited 20 cases of PPROM and 20 controls. Demographics were similar between groups. Mean GA of PPROM was 29.0 ± 2.2 weeks and median latency was 7.5 (IQR 14.1) weeks. Median EA at admission following PPROM was significantly elevated over controls (0.43 (0.18) versus 0.36 (0.2); p < .02). Overall there was no difference in median EA at admission and in labor (0.43 (0.18) versus 0.33 (0.21); p = .2) following PPROM. However, on comparing cases with latency to delivery ≤7 days (n = 10) versus >7 days (n = 10), there was a significant drop in EA in the latter group (0.44 (0.2) versus 0.34 (0.2); p < .004). Conclusions: EA in PPROM represents a promising biomarker in predicting the clinical evolution of preterm birth.
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 | 0.005 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".