Introduction of a closed‐system cell processor for red blood cell washing: postimplementation monitoring of safety and efficacy
Bibliographic record
Abstract
BACKGROUND: After introduction of a closed-system cell processor, the effect of this product change on safety, efficacy, and utilization of washed red blood cells (RBCs) was assessed. STUDY DESIGN AND METHODS: This study was a pre-/postimplementation observational study. Efficacy data were collected from sequentially transfused washed RBCs received as prophylactic therapy by β-thalassemia patients during a 3-month period before and after implementation of the Haemonetics ACP 215 closed-system processor. Before implementation, an open system (TerumoBCT COBE 2991) was used to wash RBCs. The primary endpoint for efficacy was a change in hemoglobin (Hb) concentration corrected for the duration between transfusions. The primary endpoint for safety was the frequency of adverse transfusion reactions (ATRs) in all washed RBCs provided by Canadian Blood Services to the transfusion service for 12 months before and after implementation. RESULTS: Data were analyzed from more than 300 RBCs transfused to 31 recipients before implementation and 29 recipients after implementation. The number of units transfused per episode reduced significantly after implementation, from a mean of 3.5 units to a mean of 3.1 units (p < 0.005). The corrected change in Hb concentration was not significantly different before and after implementation. ATRs occurred in 0.15% of transfusions both before and after implementation. CONCLUSION: Safety and efficacy of washed RBCs were not affected after introduction of a closed-system cell processor. The ACP 215 allowed for an extended expiry time, improving inventory management and overall utilization of washed RBCs. Transfusion of fewer RBCs per episode reduced exposure of recipients to allogeneic blood products while maintaining efficacy.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".