A triple-biomarker approach for the detection of delayed graft function after kidney transplantation using serum creatinine, cystatin C, and malondialdehyde

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Fonseca, I (Author) Other; Reguengo, H (Author) Other; Oliveira, JC (Author) Other; Martins, L (Author) Other; Malheiro, J (Author) Other; Almeida, M (Author) Other; Santos, J (Author) Other; Dias, L (Author) Other; Pedroso, S (Author) Other; Lobato, L (Author) Other; Henriques, AC (Author) Other; Mendonca, D (Author) ICBAS

Journal

Title: Clinical Biochemistry

Vol. 48

Pages: 1033-1038

ISSN: 0009-9120

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 12 Citations

Other information

Authenticus ID: P-00G-WAA

DOI: 10.1016/j.clinbiochem.2015.07.007

Abstract (EN): Introduction: Serum creatinine (SCr) alone does not allow for the early diagnosis of delayed graft function (DGF) following kidney transplantation (KTx). Objective, design and methods: The diagnostic utility of urinary neutrophil gelatinase-associated lipocalin (uNGAL), serum leptin, malondialdehyde (MD.A), and cystatin C (CysC) for the early detection of DGF was previously evaluated by our group in a prospective cohort study of 40 consecutive adults undergoing KTx. Because no single biomarker achieved adequate sensitivity or specificity for practical purposes, this study was designed to evaluate the combined use of new markers with SCr. Urine and blood samples were collected 8-to-12 h after KTx (day-1). Logistic regression was used to combine the biomarkers, and receiver operating characteristic curves and areas under the curve (AUC-ROC) were generated. Results: Eighteen recipients developed DGF (dialysis requirement during the first post-transplant week). On day-1, the AUC for SCr to predict DGF was 0.73, 0.88 for uNGAL, 0.90 for MDA, 0.76 for leptin, and 0.91 for CysC. Adding new biomarkers to SCr enhanced the performance of DGF prediction, and the best combination was achieved with SCr, MDA, and CysC (AUC = 0.96, sensitivity = 100%; specificity = 86%). Conclusion: A combination of graft damage biomarkers outperformed SCr in the early diagnosis of DGF, and the best performance was achieved by a triple-marker approach, using SCr, MDA, and CysC.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6