Growth Hormone Resistance in Severe Heart Failure Resolves After Cardiac Transplantation
Bibliographic record
Abstract
AIMS: Severe heart failure (HF) is associated with cachexia; this is often reversed post cardiac transplantation (HTx) with frequent development of obesity. Growth hormone (GH) resistance is common in HF and may contribute to cachexia. Whether GH resistance resolves post HTx is unknown. We aimed to confirm that HF is associated with GH resistance and to test the hypothesis that GH resistance resolves post HTx. METHODS AND RESULTS: We measured GH, insulin-like growth factor-1 (IGF-1), and body composition in 10 HF patients awaiting HTx, in 18 patients 11 +/- 8 months post HTx, and seven controls. Body mass index was 23.5 +/- 3.2 in HF patients and 29.3 +/- 5.7 post HTx. HTx patients had gained 14 +/- 8 kg since HTx. GH was elevated in HF (control: 0.21 +/- 0.25; HF: 1.13 +/- 1.19; HTx: 0.11 +/- 0.13 ng/mL; P < 0.007), while IGF-1 was higher in HTx (control: 114 +/- 57; HF: 94 +/- 52; HTx: 190 +/- 106 ng/mL; P < 0.02). HTx had higher total body and abdominal fat %. CONCLUSION: GH resistance is present in severe HF and resolves post HTx. These findings should be confirmed through larger trials.
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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 | 0.000 | 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 | 0.001 |
| 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".