SP655ASSOCIATION OF ABDOMINAL CIRCUMFERENCE AND INFLAMMATION IN KIDNEY TRANSPLANT RECIPIENTS
Bibliographic record
Abstract
Introduction and Aims: Increased abdominal circumference is a marker of obesity and it is associated with increased mortality in renal transplant recipients. Recent findings suggest that increased visceral fat deposition is a modifier of inflammation. However, little is known about the relation of inflammation and abdominal circumference in kidney transplant recipients. Methods: We collected socio-demographic and clinical parameters, medical and transplant history, and laboratory data from 985 prevalent kidney transplant recipients enrolled in the Malnutrition-Inflammation in Transplant - Hungary Study (MINIT-HU study). Abdominal circumference and inflammatory markers were measured at baseline. Associations between inflammatory markers and abdominal circumference were examined in unadjusted and adjusted regression models. Results: Mean±SD age was 51±13 years, 57% were men and 21% were diabetics. Patients with abdominal circumference above the median had higher body mass index and were older (mean±SD: 23.9±3.6 vs. 30.1±3.9 kg/m², p<0.001; and 48±14 vs. 54±11 years, p<0.001). Furthermore patients with higher abdominal circumference had increased inflammatory parameters: median (InterQuartile Range) CRP(mg/L): 2.3 (3.9) vs. 4.1 (6.2), p<0.001; and IL6(pg/ml): 1.9 (2.2) vs. 2.3 (2.4), p<0.001. In multivariable adjusted linear regression models higher abdominal circumference showed significant linear associations with inflammatory markers (standardized regression coefficients (β) of abdominal circumference: for lnCRP: βabdominal circumference=0.29, p<0.001; and for lnIL-6: βabdominal circumference=0.09, p=0.018).
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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".