Meconium contaminated amniotic fluid leads to intestinal wall thickness and affects the functional outcome of abdominal wall defects
Bibliographic record
Abstract
Abstract Background: We analysed abdominal wall defect patients over an 11-year period, aiming to assess the influence of meconium-contaminated amniotic fluid . Meconium-contaminated amniotic fluid leading to intestinal wall thickness and impairs surgical and functional outcome. Methods: A retro- and prospective, observational case- control design was used to compare gastroschisis (n=36) and omphalocele (n=18) children. Physical data, color of amniotic fluid, pre- and perinatal problems, operative complications and surgical technique, postoperative complications, duration of ICU stay, mechanical ventilation, parenteral nutrition, begin of oral feeding and total hospital stay were collected. Data was analyzed with descriptive methods, t-test and non-parametric tests such as Wilcoxon and Kruskal-Wallis were performed in addition to ANOVA, including post-hoc testing accepting a confidence interval of 95% (p<0.05) by using IBM SPSS software, version 23 (IBM, Illinois, USA). Results: Rate of meconium-contaminated amniotic fluid is significantly higher in GS compared to OC, delivery problems are also significantly higher, this yields in significantly more bowel loops anomalies and problems during surgery but had no significant influence on primary abdominal wall closures rate. The post-surgical outcome of OC was significantly better compared to GS. Within the GS, those with swollen intestines had significantly longer ICU stays due to extended mechanical ventilation, parenteral nutrition and delayed initiation of oral feeding. Same results were found for secondary closures compared to primary abdominal wall closures in GS group. Conclusions: Worsen functional short-term outcome of GS children was directly addicted to meconium contamination of amniotic fluid due to swollen intestines and because of this more post-surgical problem including significantly extended hospital stay were observed.
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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 | 0.003 |
| 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 | 0.000 | 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".