The timing of gamma irradiation and its effect on c<scp>ell‐free</scp> and m<scp>icrovesicle‐bound</scp> hemoglobin. The <scp>BEST</scp> collaborative study
Bibliographic record
Abstract
BACKGROUND: Gamma irradiation of red cell concentrates (RCCs) is regularly used to prevent transfusion-associated graft-versus-host disease (TA-GvHD) in at-risk patients. While studies have indicated that irradiated RCCs exhibit increased hemolysis, there have been no efforts to differentiate between free- and microvesicle (MV)-bound hemoglobin (Hb). As an increase in the proportion of free-Hb in irradiated RCCs could alter vascular function, we sought to characterize differences in the state of extracellular Hb based on the timing of irradiation. STUDY DESIGN AND METHODS: Four separate pools of seven CPD/SAGM leukoreduced RCCs were produced and split into four sets of seven identical units. The units from each set were subject to irradiation (25 Gy) at six different points during storage, with one unit serving as a nonirradiated control. All testing was performed immediately following unit expiry on day 43. RESULTS: ), lower mean corpuscular Hb concentrations (MCHC), and higher mean corpuscular fragility (MCF). Morphology indices, mean cell volume (MCV), mean corpuscular Hb (MCH), phosphatidylserine (PS) expression, as well as MV production and size did not however differ significantly between groups based on the timing of irradiation. CONCLUSIONS: Our findings indicate that irradiation timing can alter the state of extracellular Hb, with "early" irradiation promoting an increased proportion of cell-free Hb as well as mechanical damage to the RBC membrane.
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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 | 0.001 |
| 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 | 0.001 | 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 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".