Maternal and cord blood parameters are associated with placental and newborn outcomes in indigenous mothers: A case study in the MINDI cohort
Bibliographic record
Abstract
Background: Multiple infections, nutrient deficiencies and inflammation (MINDI) occur in indigenous communities, but their associations with perinatal outcomes have not been described. Objective: To assess maternal and cord blood micronutrient and inflammation status in peripartum mothers from the Ngäbe-Buglé comarca in Panama, and their associations with placental and infant outcomes. Methods: In 34 mother-newborn dyads, placental weight and diameter were measured, and maternal and cord blood were processed for complete cell counts, serum C-reactive protein, ferritin, serum transferrin receptor (sTfR), vitamins A and D. Blood volumes were calculated using Nadler's formula. Results: Mothers had low plasma volume (<2.8 L, 96%), vitamin A (52.9%), vitamin D (29.4%), iron (58.8%) and hemoglobin (23.5%), but high hematocrit (>40%, 17.6%) and inflammation (C-reactive protein >8.1 mg/L, 85.3%). Birthweights were normal, but low placental weight (35.3%), low head circumference Z-scores (17.6%), and low cord hemoglobin (5.9%), iron (79.4%), vitamin A (14.7%) and vitamin D (82.3%) were identified. Maternal and cord vitamin D were highly correlated. Higher maternal plasma volume was associated with heavier placentae (β= 0.57), and higher cord D (β= 0.43) and eosinophils (β= 0.43) with larger placentae. Hemoconcentration (higher cord hematocrit) was associated with lower newborn weight (β= -0.48) and head circumference (β= -0.56). Inflammation [higher maternal neutrophils (β= -0.50), and cord platelets (β= -0.32)] was associated with lower newborn length and head circumference. Conclusion: Maternal-newborn hemoconcentration, subclinical inflammation and multiple nutrient deficiencies, particularly neonatal vitamin D deficiency, were identified as potential targets for interventions to improve pregnancy outcomes in vulnerable communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".