Association of Postburn Fatty Acids and Triglycerides with Clinical Outcome in Severely Burned Children
Bibliographic record
Abstract
CONTEXT: Free fatty acids (FFAs) and triglycerides (TGs) are altered postburn, but whether these alterations are associated with postburn outcomes is not clear. OBJECTIVE: The aim of the present study was to analyze lipid metabolic profiles in pediatric burn patients and to correlate these profiles with patient outcomes and hospital courses. DESIGN AND SETTING: We conducted a prospective cohort study at an academic pediatric hospital burn center. PATIENTS: Our study included 219 pediatric burn patients. MAIN OUTCOME MEASURES: Patients were stratified according to their plasma TG and FFA levels. Main patient outcomes, such as postburn morbidity and mortality, and clinical metabolic markers were analyzed. RESULTS: All groups were similar in demographics and injury characteristics. Patients with elevated TGs had significantly worse clinical outcomes associated with increased acute-phase protein synthesis indicating augmented inflammation and hypermetabolism, whereas increased FFAs did not seem to profoundly alter postburn outcomes. CONCLUSIONS: Elevated TGs, but not FFAs, postburn are associated with worsened organ function and clinical outcomes.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".