Practices associated with ABO‐incompatible platelet transfusions: a BEST Collaborative international survey
Bibliographic record
Abstract
BACKGROUND: There is a lack of evidence for guiding the best strategy for ABO selection of platelet (PLT) transfusions. As a baseline for future studies, the BEST Collaborative performed an international survey of current practices in this area. STUDY DESIGN AND METHODS: An international survey was sent via BEST members to transfusion services and hospitals requesting the demographics of the transfused patient population, ABO matching policies, anti-A and anti-B measurements in PLT concentrates (PCs), and practices regarding ABO-incompatible PC transfusions to adult and pediatric patients. RESULTS: We received 126 responses from 14 countries, 59% from Europe. Most of them were from local/community (42%) and university hospitals (39%) serving between 500 and 1500 beds; 50.4% transfused fewer than 1000 PCs per year. One-fifth of respondents (19.4%, mainly local/community hospitals) did not have a written policy for selecting ABO-incompatible PCs. Significant practice variation was reported when ABO-mismatched PLTs were given to adults: for PCs suspended in 100% plasma, 29% to 43% of respondents selected any ABO group available; 52% to 61% selected units with compatible supernatant; and, in the case of minor ABO incompatibility, 43% to 54% did not take any specific action. In contrast if ABO-identical PCs were not available for a pediatric recipient, for PCs resuspended in 100% plasma, 71% to 82% selected PCs so the supernatant plasma would be compatible with patient's red blood cells. CONCLUSION: Considerable practice variation exists when transfusing ABO-incompatible PCs, suggesting an opportunity for research to inform evidence-based practices.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".