International Forum on Policies and Practice for Transfusion of <scp>ABO</scp> and <scp>RhD</scp> Non‐Identical Platelets: Responses
Bibliographic record
Abstract
Question 1We have apheresis (70%) and whole blood derived (buffy coat) (30%).Each pool is derived from four to five donors.Whole blood processing is mostly manual.Platelets are suspended in plasma or in SSP+ [1].Рlatelets for neonates/infant transfusion have the same specification as those for adults but more often are irradiated [2]. Question 2According to our national/governmental guide:• Transfusion of platelet concentrate non-identical in the ABO system is allowed, obtained using an additional solution;• Transfusion of whole-blood derived platelet concentrates from a blood units of group O or apheresis platelet concentrates AB group to a recipient with any blood group is allowed.• 21% platelet transfusions are ABO non-identical. Question 3Among those mentioned strategies only storage of platelets in PAS is used to mitigate the risk of haemolytic transfusion reactions due to ABO incompatibility.Plasma transfusion of the AB group to the recipient with any blood group is allowed Question 4 I did not observe cases of haemolytic transfusion reactions to platelets, and no such cases reported in national haemovigilance scheme. Question 5According our national/governmental guide, the compatibility of the donor and adult recipient in terms of red blood cell antigens D, C, c, E, e, K is not taken into account when transfusing platelet concentrates obtained using apheresis or using an additional solution or pathogen-reduced platelet concentrate.
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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 | 0.040 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.065 | 0.027 |
| Insufficient payload (model declined to judge) | 0.038 | 0.016 |
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".