Racial disparities in maternal blood transfusion in the United States by mode of delivery
Bibliographic record
Abstract
BACKGROUND: Despite well-documented racial disparities in maternal health in the United States, gaps remain in characterizing the distribution of these disparities in maternal blood transfusion. OBJECTIVE: To assess racial disparities in maternal blood transfusion using detailed, self-identified racial groupings in the United States overall and stratified by mode of delivery. STUDY DESIGN: We performed a population-based, retrospective cohort study of full term, live births (2016-2021) using the National Vital Statistics System's Natality Files. Regression models were constructed to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of maternal blood transfusion by self-identified maternal race in the total population, and among subgroups stratified by mode of delivery. Models were adjusted for maternal and obstetric practice factors. RESULTS: The study included 17,905,699 deliveries; maternal blood transfusion occurred in 3.4 per 1,000 deliveries. Compared with individuals who identified as White (3.3 per 1,000 transfusion rate), higher odds of transfusion were found among those who identified as American Indian and Alaska Native (AIAN; aOR 2.36, 95% CI 2.23-2.49), Black (aOR 1.15, 95% CI 1.12-1.17), Filipino (aOR 1.33, 95% CI 1.22-1.44), Korean (aOR 1.25, 95% CI 1.10-1.42), and Pacific Islander (aOR 1.63, 95% CI 1.45-1.83). The frequency of transfusion and racial disparities in transfusion varied substantially by mode of delivery. Lower rates of transfusion in Black vs White patients were observed in the spontaneous vaginal delivery (2.2 vs 2.3 per 1000; aOR 0.95, 95% CI 0.92-0.99), forceps (6.8 vs 8.9 per 1000; aOR 0.77, 95% CI 0.60-0.99), vacuum (4.2 vs 5.0 per 1000; aOR 0.85, 95% CI 0.74-0.97, and cesarean delivery with trial of labour (8.8 vs 8.9 per 1000; aOR 0.95, 95% CI 0.91-1.00) groups, while a higher rate was shown among cesarean deliveries without trial of labour (6.8 vs 4.3 per 1000; aOR 1.45, 95% CI 1.40-1.51). CONCLUSION: Racial disparities in maternal blood transfusion persist after adjustment for several confounders, particularly for AIAN and Pacific Islander individuals, and vary by mode of delivery.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".