Transfusion-related acute lung injury in a paediatric intensive care unit of Pakistan
Bibliographic record
Abstract
Background: Transfusion-Related Acute Lung Injury (TRALI) is a major cause of transfusionrelated morbidity and mortality in the intensive care unit setting. There is a paucity of such data from Pakistan. The purpose of this study is to assess the incidence and outcome of TRALI in critically ill children admitted in a pediatric intensive care unit (PICU) of Pakistan.Methods: This is a retrospective cohort study of all critically ill or injured children who developed TRALI or "possible" TRALI after blood transfusion based on Canadian Conference Consensus criteria in a closed multidisciplinary-cardiothoracic PICU from January 2012 to June 2016. The demographic, pertinent clinical data, transfusion-related variables and outcome of all cases of TRALI were recorded.Results: Of total 2975 admissions in the PICU during study period, 35.8% (1066) received 5124 blood components. Eleven cases developed TRALI in our cohort. The incidence of TRALI was 1.03% per patient transfused and 0.19% (19/100,000 per blood product transfused). Median age was 8 (range 1-14) yr., 70 % (n=8) were male. Mean PRISM-III score was 16.3±6.7. Mean time interval for onset of TRALI was 2.73±1.67 hr. The postoperative cardiac surgical and hematology-oncology patients were most common categories (63.6%). Plasma and platelets were the most commomly identified trigger of TRALI. The case-specific mortality was 63.6% and the overall mortality was 10.7% (p<0.0001).Conclusions: The incidence of TRALI in critically ill children is low, but is associated with high mortality. Critically ill children with high PRISM-III score, postoperative cardiac surgical and hematology-oncology patients are often affected by TRALI.
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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 | 0.001 | 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".