Transfusion‐related acute lung injury prevention measures and their impact at Canadian Blood Services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Blood operators have taken measures to reduce transfusion-related acute lung injury (TRALI). We classified suspected TRALI cases reported to Canadian Blood Services from 2001 to 2009 and assessed the impact of TRALI reduction measures. STUDY DESIGN AND METHODS: Using Canadian Consensus Conference definitions, cases were reviewed by two experts or, from 2006 to 2009, a TRALI Medical Review Group (TMRG). Detection of HLA antibodies was performed using the Luminex system starting in 2008. Measures implemented from 2007 to 2009 included use of predominantly male plasma, suspension of buffy coat platelets in male plasma, and deferral of females with a pregnancy history from plateletpheresis. The buffy coat production method was implemented from 2005 to 2008. RESULTS: Reporting of all suspected TRALI cases, as well as cases classified as definite or possible, increased from 2001 to 2004, was stable from 2004 to 2007, and declined in 2008 to 2009. The decline was most marked for plasma-associated cases, but occurred for all components. TMRG consensus on classification was achieved in 56% of cases. Cases identified as definitive or possible TRALI were significantly more likely to have donor antibody against a corresponding recipient antigen, compared to other cases. CONCLUSION: Hemovigilance data demonstrated an initial increase in TRALI cases, likely due to increased adverse event reporting and awareness of TRALI, followed by a decrease in cases related to all components. TRALI prevention measures and possibly the switch to the buffy coat production method may have contributed to the decline. Classification of cases remains challenging.
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.
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) | 0.003 | 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 it