Age of Red Blood Cell Units Transfused in Canada.
Bibliographic record
Abstract
Abstract Abstract 3143 Poster Board III-80 Background During storage, red blood cells (RBCs) undergo well-described biochemical and biomechanical changes, termed the red cell storage lesion. These changes may affect the ability of stored RBCs to deliver oxygen or have other adverse consequences. The transfusion of older RBCs has been associated with increased morbidity/mortality, and planned or on-going randomized controlled trials are exploring a possible causal relationship between the age of RBCs and mortality/morbidity. However, the age-related characteristics of the RBCs units in hospital inventories and of the RBCs units transfused are largely unknown. Method A descriptive observational study from 9 centres from 5 Canadian provinces was conducted. Using a randomly generated schedule, data was collected on one weekday for 30 consecutive weeks. Reports of the RBCs inventories and the transfused RBCs units for all ABO and Rh blood groups were collected and analyzed. Results Academic centers contributed more than half of the collected data, both for inventory and for transfused units. Overall, the median age of RBCs units in inventory was 14 days (IQR=10-20) and their median age upon transfusion was 16 days (IQR=12-22). The cumulative proportion of younger blood (less than 8 days) in inventory was 9% (range for individual centres: 5 to 20%) for units in inventory and 5% (range for individual centres: 1 to 17%) for transfused units. The cumulative proportion of older blood (more than 28 days) was 8% (range for individual centres: 6 to 14%) for units in inventory, and 13% (range for individual centres: 9 to 23%) for transfused units. Community centres tended to have the largest proportion of younger units transfused (12%) as well as in inventory (14%). Conclusion This study provides important data that may contribute to decision-making regarding blood bank inventory management and age-based transfusion practices. If the results of ongoing studies demonstrate an adverse effect from transfusing older RBCs, then significant changes to the inventory management may be required. In Canada, shortening the shelf-life for storage of RBC units to 28 days may be less problematic, but restricting the age of RBCs transfused to less than 8 days for all RBC units may pose significant challenges. Disclosures Tinmouth: Canadian Blood Services: Consultancy; Novartis: Research Funding; CSL: Research Funding; Bayer: Research Funding; Wyeth: Research Funding.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".