Literature DB >> 21441853

A comparison of alternative serum biomarkers with creatinine for predicting allograft function after kidney transplantation.

Isaac E Hall1, Mona D Doshi, Emilio D Poggio, Chirag R Parikh.   

Abstract

BACKGROUND: The role of serum cystatin C (Scyc), neutrophil gelatinase-associated lipocalin, and interleukin-18 in predicting early graft function after kidney transplant is poorly defined.
METHODS: We conducted a multicenter prospective cohort study of deceased-donor kidney transplants. We collected serial blood samples for the first 3 days of transplant and monitored need for dialysis within 1 week and graft function at 3 months after transplant.
RESULTS: Among 78 recipients with serum biomarker measurements, 26 had delayed graft function (DGF; hemodialysis within 1 week of transplant). Of those not dialyzed, 29 had slow graft function (serum creatinine [Scr] reduction from transplantation to day 7 <70%), and 23 had immediate graft function (IGF; reduction in Scr ≥70%). Scyc levels were statistically different between groups by the first postoperative day (POD), whereas Scr levels were not. Serum neutrophil gelatinase-associated lipocalin and serum interleukin-18 levels were not different between groups. Scyc on the first POD demonstrated good utility for predicting DGF and non-IGF (DGF or slow graft function) with areas under the receiver-operating characteristic curve of 0.83 and 0.85, respectively. Areas under the receiver-operating characteristic curve for predicting DGF and non-IGF using Scr on the first POD were 0.65 and 0.53, respectively. Substituting Scyc for Scr in a clinical algorithm improved its utility for predicting DGF or non-IGF, with adjusted odds ratios of 2.4 and 3.3 for Scyc levels on the first POD. The change in Scyc during the first POD demonstrated a dose-response relationship with 3-month graft function.
CONCLUSIONS: Scyc outperforms Scr as a predictor of early graft function after deceased-donor kidney transplant.

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Year:  2011        PMID: 21441853     DOI: 10.1097/TP.0b013e3181fc4b3a

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  19 in total

1.  Association between peritransplant kidney injury biomarkers and 1-year allograft outcomes.

Authors:  Isaac E Hall; Mona D Doshi; Peter P Reese; Richard J Marcus; Heather Thiessen-Philbrook; Chirag R Parikh
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-21       Impact factor: 8.237

2.  Chitinase-like protein Brp-39/YKL-40 modulates the renal response to ischemic injury and predicts delayed allograft function.

Authors:  Insa M Schmidt; Isaac E Hall; Sujata Kale; Sik Lee; Chuan-Hua He; Yashang Lee; Geoffrey L Chupp; Gilbert W Moeckel; Chun Geun Lee; Jack A Elias; Chirag R Parikh; Lloyd G Cantley
Journal:  J Am Soc Nephrol       Date:  2013-01-04       Impact factor: 10.121

Review 3.  The Perspectives of Biomarkers in Predicting the Survival of the Renal Graft.

Authors:  Paul Luchian Aldea; Andreea Liana Rachisan; Bogdan Ioan Stanciu; Andrei Picos; Alina Monica Picos; Dan Ioan Delean; Ramona Stroescu; Magdalena Iuliana Starcea; Cristina Maria Borzan; Florin Ioan Elec
Journal:  Front Pediatr       Date:  2022-06-03       Impact factor: 3.569

Review 4.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

5.  Urinary biomarkers of kidney injury are associated with all-cause mortality in the Women's Interagency HIV Study (WIHS).

Authors:  Ca Peralta; R Scherzer; C Grunfeld; A Abraham; Pc Tien; P Devarajan; M Bennett; Aw Butch; K Anastos; Mh Cohen; M Nowicki; A Sharma; Ma Young; Mj Sarnak; Cr Parikh; Mg Shlipak
Journal:  HIV Med       Date:  2013-12-03       Impact factor: 3.180

6.  Diagnosis of kidney damage using novel acute kidney injury biomarkers: assessment of kidney function alone is insufficient.

Authors:  Patrick T Murray
Journal:  Crit Care       Date:  2011-07-04       Impact factor: 9.097

7.  Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation.

Authors:  Timothy J Pianta; Zoltan H Endre; John W Pickering; Nicholas A Buckley; Philip W Peake
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

8.  Early trends in cystatin C and outcomes in patients with cirrhosis and acute kidney injury.

Authors:  Justin M Belcher; Arun J Sanyal; Guadalupe Garcia-Tsao; Naheed Ansari; Steven G Coca; Michael G Shlipak; Chirag R Parikh
Journal:  Int J Nephrol       Date:  2014-03-18

9.  Serum aminoacylase-1 is a novel biomarker with potential prognostic utility for long-term outcome in patients with delayed graft function following renal transplantation.

Authors:  Matthew P Welberry Smith; Alexandre Zougman; David A Cairns; Michelle Wilson; Tobias Wind; Steven L Wood; Douglas Thompson; Michael P Messenger; Andrew Mooney; Peter J Selby; Andrew J P Lewington; Rosamonde E Banks
Journal:  Kidney Int       Date:  2013-06-05       Impact factor: 10.612

10.  Comparison of Serum Neutrophil Gelatinase-associated Lipocalin (NGAL) with Serum Creatinine in Prediction of Kidney Recovery after Renal Transplantation.

Authors:  M Mahdavi-Mazdeh; M Amerian; A Abdollahi; Z N Hatmi; M R Khatami
Journal:  Int J Organ Transplant Med       Date:  2012
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