Early Changes in Kidney Function Predict Long-Term Chronic Kidney Disease and Mortality in Patients After Liver Transplantation
Bibliographic record
Abstract
BACKGROUND: Chronic kidney disease (CKD) is a well-known complication after liver transplantation (LT) and is associated with increased mortality. The purpose of this study was to determine risk factors of advanced CKD and mortality after LT. METHODS: Four hundred forty-five adult patients underwent LT between June 1990 and September 2007 and survived more than 1 month. Multivariate Cox regression analyses were performed for time to CKD stage 4 (glomerular filtration rate [GFR] ≤30 mL/min), time to chronic dialysis, and all-cause mortality. Several patient and disease characteristics were used as independent pre- and posttransplant variables. We specifically analyzed a drop more than or equal to 30% in the estimated GFR (eGFR) during the first year posttransplant. RESULTS: Diabetes mellitus pretransplant and a drop more than or equal to 30% in the eGFR between 3 and 12 months predicted CKD stage 4 (odds ratio [OR] 4.1, 95% confidence interval [CI] 1.9-5.4, P<0.001 and OR 16.1, 95% CI 5.9-44.5, P<0.0001, respectively), the need for chronic dialysis (OR 3.8, 95% CI 1.1-13.2, P=0.03 and OR 14.6, 95% CI 3.0-71.4, P<0.001, respectively), and all-cause mortality (OR 1.9, 95% CI 1.2-2.9, P=0.004 and OR 2.6, 95% CI 1.6-4.4, P<0.001, respectively), more than 1 year after LT. CONCLUSIONS: Diabetes mellitus pretransplant and a drop more than or equal to 30% in the eGFR within the first year are strong predictors of advanced CKD, chronic dialysis, and death more than 1 year after LT. These easily determined clinical variables define a population at risk for CKD who should be targeted for renal protection strategies.
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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 | 0.001 |
| 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".