Abstract
Background. Chronic transplant dysfunction is characterized by renal function decline and proteinuria. Kidney injury molecule (KIM)-1, a transmembrane tubular protein with unknown function, is undetectable in normal kidneys, but markedly induced after injury. Urinary KIM-1 excretion has been quantified as biomarker of renal damage. We prospectively studied whether urinary KIM-1 predicts graft loss, independent of renal function and proteinuria.
Methods. Renal transplant recipients (n=145) visiting our outpatient clinic between August 2001 and July 2003 collected 24-hour urine samples for assessment of baseline urinary KIM-1 excretion (microsphere-based Luminex technology), and were followed for graft loss.
Results. Recipients participated at a median (interquartile range) of 6.0 (2.5-12.0) years posttransplant in baseline measurements. Follow-up beyond baseline was 4.0 (3.2-4.5) years. Urinary KIM-1 excretion was 0.72 (0.42-1.37) ng per 24 hours. Occurrence of graft loss increased over tertiles of KIM-1 excretion: 3 (6.3%), 11 (22.4%), and 17 cases (35.4%; P=0.001), respectively. High KIM-1 excretion was associated with proteinuria, low creatinine clearance, and high donor age (all P <0.01). In multivariate Cox regression analyses, prediction of graft loss by KIM-1 appeared independent of creatinine clearance, proteinuria, and donor age. Hazard ratios (95% CI) for the second and third tertile of KIM-1 excretion were 3.6 (0.9-13.5) and 5.1 (1.5-17.8) in the Final model.
Conclusions. Urinary excretion of KIM-1 is an independent predictor of long-term graft loss and therefore a promising new biomarker in early prediction of graft loss.
Original language | English |
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Pages (from-to) | 1625-1630 |
Number of pages | 6 |
Journal | Transplantation |
Volume | 84 |
Issue number | 12 |
DOIs | |
Publication status | Published - 27-Dec-2007 |
Keywords
- chronic transplant dysfunction
- renal transplantation
- kidney injury molecule-1
- biomarker
- ALLOGRAFT REJECTION
- SERUM CREATININE
- WORKING CLASSIFICATION
- CELL CARCINOMA
- RISK-FACTORS
- DONOR AGE
- SURVIVAL
- BIOMARKER
- OUTCOMES
- KIM-1
Datasets
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TransplantLines
Bakker, S. (Creator), Leuvenink, H. (Creator) & Porte, R. (Creator), University of Groningen, 2017
http://www.transplantlines.umcg.nl
Dataset