Retinol Binding Protein
Bibliographic record
Abstract
INTRODUCTION: Burn injury leads to vast changes in both metabolic and inflammatory responses and is associated with increased morbidity and mortality. Insulin resistance (IR) and hyperglycemia are major components of the hypermetabolic response found in burn-injured patients and subsequently contribute to adverse outcomes. Studies have shown that increased systemic retinol binding protein (RBP) levels are associated with IR and hyperinflammation in diabetic and obese patients. The aim of this study was to determine RBP profiles and to test the hypothesis that elevated RBP levels are associated with both IR and the inflammatory response in burned patients. METHODS: RBP was measured in 372 patients during the acute stay postburn. Patients' demographics, glucose levels, and insulin administration were recorded. Cytokines, hormones, plasma proteins, and organ markers were measured. The average of all measurements of RBP (2.1 mg/dL) was used to divide patients into high and low groups. Statistical analysis was performed by Student t test. Statistical significance was accepted at P < .05. RESULTS: Fifty-one patients (high group) had elevated RBP levels during acute hospitalization and demonstrated a significant higher incidence of multiorgan failure, sepsis, and mortality (P < .05). Moreover, in the high group, a significant increase of IR, inflammatory cytokines, and catabolic and organ-specific markers were detected (P < .05). CONCLUSIONS: Increased RBP levels postburn correlate with increased IR, inflammatory and catabolic responses, incidence of multiorgan failure, and mortality. RBP may be a novel biomarker to monitor these detrimental responses postburn.
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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 | 0.000 | 0.000 |
| 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".