Inflammation among kidney transplant donors with and without HIV: Multicenter HOPE in Action Consortium
Bibliographic record
Abstract
Kidney transplantation from donors with HIV has recently become standard clinical practice, but the plasma inflammatory profile is not well characterized. Thirty-two cytokines and chemokines were evaluated among donors with HIV (n = 63) and without HIV (n = 41). Wilcoxon rank sum test was used to compare cytokines between groups. Donors with and without HIV were generally similar in terms of characteristics, except those with HIV had a non-significantly lower kidney donor profile index, reflecting better graft survival, creatinine, and body mass index. Most cytokine and chemokine levels were similar between groups. However, median IL-8 levels were higher (p < 0.0015) in donors without HIV (32.6 pg/mL, IQR = 13.8-394.9) compared to donors with HIV (15.1 pg/mL, IQR = 8.4-35.5). There were no significant correlations between cytokine and chemokine concentrations and CD4 counts or HIV viral load. In summary, inflammatory profiles were similar or lower among donors with HIV compared to donors without HIV supporting the safety of this emerging kidney transplantation practice.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".