title: IL-18 and urinary NGAL predict dialysis and graft recovery after kidney transplantation.
abstract: Current methods for predicting graft recovery after kidney transplantation are not reliable. We performed a prospective, multicenter, observational cohort study of deceased-donor kidney transplant patients to evaluate urinary neutrophil gelatinase-associated lipocalin (NGAL), IL-18, and kidney injury molecule-1 (KIM-1) as biomarkers for predicting dialysis within 1 wk of transplant and subsequent graft recovery. We collected serial urine samples for 3 d after transplant and analyzed levels of these putative biomarkers. We classified graft recovery as delayed graft function (DGF), slow graft function (SGF), or immediate graft function (IGF). Of the 91 patients in the cohort, 34 had DGF, 33 had SGF, and 24 had IGF. Median NGAL and IL-18 levels, but not KIM-1 levels, were statistically different among these three groups at all time points. ROC curve analysis suggested that the abilities of NGAL or IL-18 to predict dialysis within 1 wk were moderately accurate when measured on the first postoperative day, whereas the fall in serum creatinine (Scr) was not predictive. In multivariate analysis, elevated levels of NGAL or IL-18 predicted the need for dialysis after adjusting for recipient and donor age, cold ischemia time, urine output, and Scr. NGAL and IL-18 quantiles also predicted graft recovery up to 3 mo later. In summary, urinary NGAL and IL-18 are early, noninvasive, accurate predictors of both the need for dialysis within the first week of kidney transplantation and 3-mo recovery of graft function.
authors.affiliation: Department of Medicine,Yale University, West Haven, CT 06516, USA.
authors.forename: Isaac E
authors.initials: IE
authors.lastname: Hall
authors.forename: Sri G
authors.initials: SG
authors.lastname: Yarlagadda
authors.forename: Steven G
authors.initials: SG
authors.lastname: Coca
authors.forename: Zhu
authors.initials: Z
authors.lastname: Wang
authors.forename: Mona
authors.initials: M
authors.lastname: Doshi
authors.forename: Prasad
authors.initials: P
authors.lastname: Devarajan
authors.forename: Won K
authors.initials: WK
authors.lastname: Han
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Marcus
authors.forename: Chirag R
authors.initials: CR
authors.lastname: Parikh
mesh_terms: D000209:Acute-Phase Proteins / Q000652:urine*; D000328:Adult; D015415:Biomarkers / Q000652:urine; D015331:Cohort Studies; D051799:Delayed Graft Function / Q000503:physiopathology / Q000652:urine; D005260:Female; D005500:Follow-Up Studies; D006085:Graft Survival / Q000502:physiology*; D000072596:Hepatitis A Virus Cellular Receptor 1; D006801:Humans; D020382:Interleukin-18 / Q000652:urine*; D016030:Kidney Transplantation / Q000502:physiology*; D000071068:Lipocalin-2; D054834:Lipocalins / Q000652:urine*; D016015:Logistic Models; D008297:Male; D008562:Membrane Glycoproteins / Q000652:urine; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D011446:Prospective Studies; D011518:Proto-Oncogene Proteins / Q000652:urine*; D012372:ROC Curve; D011991:Receptors, Virus; D006435:Renal Dialysis
chemical_list: D000209:Acute-Phase Proteins; D015415:Biomarkers; C491143:HAVCR1 protein, human; D000072596:Hepatitis A Virus Cellular Receptor 1; D020382:Interleukin-18; C489506:LCN2 protein, human; D000071068:Lipocalin-2; D054834:Lipocalins; D008562:Membrane Glycoproteins; D011518:Proto-Oncogene Proteins; D011991:Receptors, Virus