Red blood cell transfusion in critically ill children (CME)
Bibliographic record
Abstract
BACKGROUND: Red blood cell (RBC) transfusions are common in the pediatric intensive care unit (PICU). However, there are no recent data on transfusion practices in the PICU. Our objective was to determine transfusion practice in the PICU, to compare this practice with that observed 10 years earlier, and to estimate the compliance to the recommendation of a large randomized clinical trial, the Transfusion Requirements in Pediatric Intensive Care Unit (TRIPICU) study. STUDY DESIGN AND METHODS: This was a single-center prospective observational study over a 1-year period. Information was abstracted from medical charts. Determinants of transfusion were searched for daily until the first transfusion in transfused cases or until PICU discharge in nontransfused cases. The justifications for transfusions were assessed using a questionnaire. RESULTS: Of 913 consecutive admissions, 842 were included. At least one RBC transfusion was given in 144 patients (17.1%). The mean hemoglobin (Hb) level before the first transfusion was 77.3 ± 27.2 g/L. The determinants of a first transfusion event retained in the multivariate analysis were young age (<12 months), congenital cardiopathy, lowest Hb level of not more than 70 g/L, severity of illness, and some organ dysfunctions. The three most frequently quoted justifications for RBC transfusion were a low Hb level, intent to improve oxygen delivery, and hemodynamic instability. The main recommendation of the TRIPICU study was applied in 96.4% of the first transfusion events. CONCLUSIONS: RBC transfusions are frequent in the PICU. Young age, congenital heart disease, low Hb level, severity of illness, and some organ dysfunctions are significant determinants of RBC transfusions in the PICU. Most first transfusion events were prescribed according to recent recommendations.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".