Blood storage duration and morbidity and mortality in children undergoing cardiac surgery
Bibliographic record
Abstract
BACKGROUND: Blood transfusion is frequently required in children undergoing cardiac surgery and is associated with altered postoperative outcome. This may be due to alterations in red blood cell properties related to the storage process. OBJECTIVE: To evaluate the effect of blood storage duration on postoperative morbidity and mortality in children undergoing cardiac surgery. DESIGN: A retrospective review of a paediatric cardiac surgery database. SETTING: Department of Anaesthesiology, Queen Fabiola Children's University Hospital, Brussels, Belgium. PARTICIPANTS: Children transfused with one or two units of blood in the perioperative period. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Storage duration was used to allocate children to the Group 'Young' or the Group 'Old' (cut-off = 7 days). The primary endpoint was a composite based on the incidence of hospital mortality and/or the incidence of at least one organ failure. RESULTS: From 1014 children in the database, 570 were included in the final analysis. One hundred and eighteen patients were included in the Group 'Young' [median (interquartile range, IQR) storage duration 6 (5 to 7) days] and 452 in the Group 'Old' [storage duration 14 (11 to 19) days]. No difference was found in mortality, length of ICU stay, mechanical ventilation duration, postoperative infection and major organ dysfunction. Duration of storage used as a continuous variable did not influence the incidence of the composite endpoint when evaluated by univariate or multivariate logistic regression analyses. CONCLUSION: Red blood cell storage duration did not influence postoperative morbidity and mortality in paediatric cardiac surgery patients transfused with one or two units of blood.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".