Increased Urinary CCL2
Bibliographic record
Abstract
BACKGROUND: Early noninvasive markers that identify patients at risk of renal allograft loss may stratify patients for more intensive monitoring or therapy. CCL2 is a CCR2 receptor chemokine that is a chemoattractant protein for monocytes/macrophages, T cells, and natural killer cells. We have previously demonstrated in a multicenter cohort that urinary CCL2 at 6 months is an independent predictor for the development of IFTA at 24 months. The goal of this study was to determine if early urinary CCL2 is a predictor of graft loss in an independent patient cohort. METHODS: A prospective, observational cohort study was conducted in the Transplant Manitoba Adult Kidney Program (n=231 patients) from 1997 to 2008. Six-month urinary CCL2 was measured by ELISA, corrected for urinary creatinine, and correlated with long-term graft outcomes. RESULTS: Urine CCL2: Cr at 6 months was significantly associated with death-censored graft loss (HR, 2.42; 95% CI, 1.54-3.82, P<0.0001). On multivariate analysis, urinary CCL2: Cr at 6 months remained an independent predictor of death-censored graft loss (HR, 2.20; 95% CI, 1.18-4.10, P=0.01) after adjustment for pretransplant/de novo donor-specific antibody and delayed graft function. An early posttransplant (≤6 months) multivariate model of CCL2, recipient age, and delayed graft function yielded an AUC 0.87 for prediction of death-censored graft loss. A cutoff value of urinary CCL2: Cr 34.8 ng/mmol yielded a strong positive predictive value of 0.96. CONCLUSIONS: This study confirms in an independent prospective cohort that early urinary CCL2 at 6 months is a noninvasive, independent predictor for late renal allograft loss.
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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".