The profile of inflammatory and metabolic response in children undergoing heart transplantation
Bibliographic record
Abstract
Yu X, Larsen B, Urschel S, Cheung P‐Y, Ross DB, Rebeyka I, West L, Li J. The profile of inflammatory and metabolic response in children undergoing heart transplantation. Clin Transplant 2011 DOI: 10.1111/j.1399‐0012.2011.01566.x. © 2011 John Wiley & Sons A/S. Abstract: Inflammatory and metabolic response is an important factor to determine clinical outcomes. However, it remains unknown in children undergoing heart transplantation (HTx). We examined the perioperative changes in the inflammatory and metabolic response markers C‐reactive protein (CRP) and prealbumin (PA) in 38 heart‐transplanted children. Data obtained prior to and within one month after HTx included CRP, PA, total and differential white blood cell counts, doses of inotropes and immunosuppressants, cultures of blood and body fluids, duration of cardiopulmonary bypass (CPB), aortic cross clamp and donor heart ischemia, and days in the intensive care unit (ICU) and hospital. CRP was 32 ± 49 mg/L before HTx, increased to 130 ± 55 mg/L on postoperative day 1–2, and decreased to 21 ± 31 mg/L by one month after HTx. PA was 0.15 ± 0.06 g/L before HTx, decreased to 0.12 ± 0.03 g/L on postoperative day 1–2, and then gradually increased to 0.21 ± 0.10 g/L by one month after HTx. Postoperative CRP positively correlated with epinephrine dosage and CPB duration. PA positively correlated with age. In conclusion, inflammatory and metabolic response is present before HTx and acutely intensified after HTx. It may be mainly influenced by CPB duration and cardiovascular function status.
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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 | 0.002 |
| 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".