P‐BB‐71 | Single Transient Warming Events Do Not Affect the Quality of Cryopreserved Red Cell Concentrates
Bibliographic record
Abstract
Cryopreserved red cell concentrates (RCCs) glycerolized using a high glycerol (40%) method can be stored below −65°C for up to 30 years. However, during storage, units may be inadvertently warmed above −65°C due to freezer failures, human errors, or routine inventory management. Although it has been suggested that high glycerol concentrations may provide protection against these transient warming events (TWEs), this has not been studied extensively. ABO/Rh matched RCCs were pooled-and-split (n = 9), glycerolized using the ACP 215 Cell Processor, and frozen in a < −65°C freezer. Three types of TWEs were then performed: (1) “fast” TWEs (warming at room temperature [RT] to −20°C); (2) “slow” TWEs (exposure to −20°C for 2 h); and (3) “thaw” TWEs (warming to room temperature). Units (n = 6) were exposed to 0 (control), 1, 10, or 30 TWEs for both the “slow” and “fast” conditions or a single “thaw” and refreeze TWE. RCCs were deglycerolized and resuspended in AS-3 using the ACP 215, stored hypothermically (2–6°C) and tested at 0, 1, 7, and 14 days post-deglycerolization for red blood cell (RBC) quality using an extensive panel of in vitro tests. Multiple group comparisons were performed using Sidak's multiple comparisons test. While no significant differences among RCCs over hypothermic storage were found when units were exposed to “fast” or “slow” single or “thaw” TWEs, a significant decrease in the quality of RCCs was observed when units were subjected to ten or more TWEs either “fast” or “slow”. Immediately post-deglycerolization, over 67% of tested units failed to meet standardized guidelines for hemoglobin content (>35 g/unit). Regardless of the type of TWE, if the number of exposures exceeded ten, more than half of the RCCs failed to meet standardized criteria for hemolysis (<0.8%) after one to two weeks of post-thaw hypothermic storage. Common inventory management practices at blood centers involve exposure of units to RT for 30-min intervals or longer. Exposing RCCs to this level of TWE more than 10 times may impact the quality of RCCs. Additionally, RCCs that are known to have experienced storage temperatures warmer than −65°C are discarded. Our data however, shows single TWEs do not significantly impact the quality of RCCs post-deglycerolization. Based on these observations, blood centers should review inventory management practices to track TWEs which may result in the unnecessary discard of rare RCCs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".