Intrapartum intravenous fluids for caesarean delivery and newborn weight loss: a retrospective cohort study
Bibliographic record
Abstract
OBJECTIVE: To examine weight loss (WL) and excess weight loss (EWL) among newborns of caesarean delivery, comparing colloids plus crystalloids versus crystalloids only. Also, to examine different doses of intrapartum intravenous fluids on WL and EWL. DESIGN: Comparative safety retrospective cohort study. SETTING: University Teaching Hospital, Moncton, Canada. PATIENTS: Mothers exposed to intravenous fluids with caesarean delivery between 2008 and 2016. INTERVENTIONS: Exposure to colloids plus crystalloids was compared with crystalloids only, and dose-response analyses were performed for colloids, crystalloids and total intravenous fluids doses. Linear and logistic regression models were used, adjusting for potential confounders. MAIN OUTCOME MEASURES: Infants' WL was measured at days 1, 2 and 3 post partum, and EWL defined as loss of >7% of birth weight. RESULTS: From 801 mother-infant pairs, 176 were exposed to colloids plus crystalloids and 625 were exposed to crystalloids only (overall mean birth weight=3416 g, EWL=2%, 41.4% and 55.5% on days 1, 2 and 3, respectively). No significant difference in newborns' WL was observed on any of the days assessed. Adjusted OR (95% CI) of EWL was 1.0 (0.3 to 3.3) at 24 hours, 1.0 (0.7 to 1.5) at 48 hours and 1.4 (0.9 to 2.2) at 72 hours. No dose-response relationship was detected with type-specific and total intravenous fluids exposures. CONCLUSIONS: The risk of EWL was similar with colloids plus crystalloids and crystalloids only, suggesting that both therapeutic options can be considered during caesarean delivery. The absence of dose-response relationships adds confirmatory evidence to the intravenous fluids safety profiles.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".