Maternal intravenous fluids and postpartum breast changes: a pilot observational study
Bibliographic record
Abstract
BACKGROUND: The current breastfeeding initiation rate in Canada is approximately 87%. By one month, about 21% of women have stopped breastfeeding. Engorgement and edema in breast tissue can lead to breastfeeding challenges which may contribute to early weaning. The aims of this pilot research study were to explore the relationship between intrapartum intravenous fluids given to mothers and postpartum breast swelling in the first 10 days postpartum and to determine if a larger study was warranted and feasible. METHODS: A prospective, longitudinal, observational cohort pilot study with repeated measures and a within-subjects design was completed. Participants were first time mothers who have a single, healthy newborn and had a spontaneous vaginal birth. Daily data collection from admission into the study until postpartum day 10 took place. Descriptive statistics are reported and linear regression analysis was used to model the relationship between IV therapy and postpartum breast edema. RESULTS: Women who received intravenous fluids during labour had higher levels of breast edema postpartum and rated their breasts as firmer and more tender than women who did not receive intravenous fluids. Participants who had intravenous fluids described patterns of fullness that appeared to be related to edema as opposed to fullness associated with engorgement and lactogenesis II. CONCLUSIONS: The findings demonstrate that mothers in this pilot study who received intravenous fluids in labour and postpartum had higher levels of breast edema. These results suggest a larger study is warranted to more fully examine the effects of intravenous fluids on postpartum breast swelling.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".