Bibliographic record
Abstract
In this issue of Blood Advances, Mykhailova et al 1 identified that donor age, rather than donor sex, predominantly affects stored red blood cell (RBC) deformability, a crucial property for transfusion success.Specifically, this study showed that red cell concentrates (RCCs) from younger donors, especially teenage males, undergo a more rapid decline in deformability during storage than those from older donors.This finding shifts the current focus from previously assumed determinants of RBC quality, such as donor sex and RBC biological aging, to how donor age affects RCC quality and posttransfusion efficacy.By analyzing the effects of donor age on the rheological properties of stored RBCs, this study highlights the potential of using age-based donor selection to improve transfusion outcomes.RBC deformability or the ability of RBCs to alter shape and squeeze through the microvasculature is critical for oxygen delivery and overall RBC function.In transfusion medicine, improved deformability is linked to fewer posttransfusion complications and increased survival rates for transfused cells. 2 Factors affecting deformability include RBC membrane flexibility, cellular morphology, cytoplasmic viscosity, and mean corpuscular hemoglobin content (MCHC). 3During cold storage, RBCs progressively lose deformability due to metabolic degradation and membrane remodeling.This study builds on existing evidence by examining how age and sex influence these degradative processes in stored RCCs from donors at opposite ends of the age spectrum.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".