Transfusion-related acute lung injury (TRALI): a retrospective review of reported cases in Queensland, Australia over 20 years.
Bibliographic record
Abstract
BACKGROUND: Transfusion-related acute lung injury (TRALI) is a rare but potentially fatal transfusion reaction. An effective haemovigilance programme is important in implementing successful and targeted risk reduction strategies. We aim to provide a summary of TRALI cases referred for investigation in Queensland (QLD) Australia from 1999 to 2019, describing the epidemiological and laboratory features of local TRALI cases. MATERIALS AND METHODS: A retrospective audit evaluated all cases reported to the QLD Australian Red Cross Lifeblood over the 20-year study period. Cases were categorised according to the 2004 Canadian consensus criteria. RESULTS: Of the 91 cases referred for investigation, expert review confirmed 30 of TRALI and 18 of possible TRALI. A total of 238 donors and 110 blood products were assessed in confirmed cases. TRALI affected patients of all ages. Most patients had underlying haematological malignancies (25%), surgery (15%) or liver disease (13%). TRALI incidence was measured at 1 in 130,000 per issued product in QLD. Red cells were transfused in 32 cases, platelets in 18 and plasma products in 21, with 16 cases involving multiple products. Following laboratory assessment, 23% of cases had findings supportive of antibody mediated TRALI and 21% as likely non-antibody mediated. Possible TRALI was identified in 37.5% of cases of which 25% were antibody mediated and 12.5% non-antibody mediated. Nine (18.5%) cases were uncategorised due to insufficient immunologic investigations. DISCUSSION: Rates of TRALI incidence measured are lower than those seen in many international studies. A reduction in confirmed cases has been noted over recent years, supporting the implementation of risk-reduction strategies. We report a relatively higher proportion of non-antibody mediated TRALI and possible TRALI cases in more recent years, suggesting the need to further understand the role of product age and biological risk modifiers.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".