A retrospective analysis of postpartum red blood cell transfusions at a tertiary care obstetric centre
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Postpartum anaemia is a prevalent health problem. We aimed to determine the compliance rate for red blood cell (RBC) transfusion indication among postpartum women in a single tertiary care centre in Quebec, Canada. MATERIALS AND METHODS: Retrospective cohort study including all women ≥6 h postpartum who received ≥1 RBC transfusion during their delivery hospitalization between January 2005 and February 2022. We determined our centre's compliance rate by indication as compared to current society guidelines, all published after 2015 (Network for the Advancement of Patient Blood Management, Haemostasis and Thrombosis [NATA], Royal College of Obstetricians and Gynaecologists [RCOG], American College of Obstetricians and Gynecologists [ACOG]). We then explored predictors of guideline non-compliance and described transfusion practices in our centre. RESULTS: A total of 171 women were included. Our centre's compliance rate was 79.5% (95% confidence interval [CI] 72.7-84.8). Predictors of guideline non-compliance were maternal medical comorbidity or abnormal placentation, both limited by large CIs (odds ratio [OR] 2.26, CI 1.02-4.94, p = 0.04; OR 4.00, CI 1.31-12.06, p = 0.01, respectively). Postpartum haemorrhage was diagnosed among 68% of the cohort, mostly due to uterine atony (73.3%). Mean baseline and nadir haemoglobin were 111 g/L (±18) and 62 g/L (±7.7), respectively. Multiple unit initial transfusion was found in a majority of patients (63.7%). Iron therapy was administered to 51.5% of women in-hospital and 81.9% received an oral iron prescription at discharge. There were no differences in primary or secondary outcomes subsequent to relevant guideline publication. CONCLUSION: Our centre's compliance rate for RBC transfusion indication meets current practice guidelines. Areas for improvement include single-unit initial transfusion protocols and adjuvant iron treatment. Antenatal optimization of haemoglobin and ferritin stores may limit postpartum transfusions.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".