Literature DB >> 14629286

Poor predictive value of serum creatinine for renal allograft loss.

Bruce Kaplan1, Jesse Schold, Herwig-Ulf Meier-Kriesche.   

Abstract

Both medical care and pharmaceutical development have led to an increase in expected graft and patient survival for patients who undergo renal transplantation. From a research perspective, it has become increasingly difficult to study the efficacy of new therapies using traditional 'hard' endpoints. In reaction to this dilemma, the transplant community has sought a surrogate endpoint. A natural candidate for a surrogate marker for graft loss that has been proposed is renal function (serum creatinine or calculated GFR levels). Using data from the USRDS, we conducted a retrospective evaluation of transplant data from 1988 to 1999 to quantify the predictive value of renal function for the outcomes of graft loss, death-censored graft loss, and patient death. Renal function along with the change in renal function demonstrated a high relative risk for ultimate graft survival and graft loss (odds ratio = 2.2 for an increase of 1 mg/dL). However, the predictive value as measured by the area under the receiver operating characteristic curve (AUC) for this criteria was poor (0.627). These findings held true for the slope of creatinine and formulations of GFR. While renal function is a strong risk factor and highly correlated with graft failure, the utility of renal function as a predictive tool for graft loss is limited.

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Year:  2003        PMID: 14629286     DOI: 10.1046/j.1600-6135.2003.00275.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  25 in total

1.  Transplantation: neural networks for predicting graft survival.

Authors:  Bruce Kaplan; Jesse Schold
Journal:  Nat Rev Nephrol       Date:  2009-04       Impact factor: 28.314

2.  Analysis of Biomarkers Within the Initial 2 Years Posttransplant and 5-Year Kidney Transplant Outcomes: Results From Clinical Trials in Organ Transplantation-17.

Authors:  Geovani Faddoul; Girish N Nadkarni; Nancy D Bridges; Jens Goebel; Donald E Hricik; Richard Formica; Madhav C Menon; Yvonne Morrison; Barbara Murphy; Kenneth Newell; Peter Nickerson; Emilio D Poggio; David Rush; Peter S Heeger
Journal:  Transplantation       Date:  2018-04       Impact factor: 4.939

Review 3.  Estimating glomerular filtration rate in kidney transplantation: Still searching for the best marker.

Authors:  Josefina Santos; La Salete Martins
Journal:  World J Nephrol       Date:  2015-07-06

Review 4.  IMPROVING LONG-TERM OUTCOMES IN KIDNEY TRANSPLANTATION: TOWARDS A NEW PARADIGM OF POST-TRANSPLANT CARE IN THE UNITED STATES.

Authors:  Robert S Gaston
Journal:  Trans Am Clin Climatol Assoc       Date:  2016

Review 5.  Precision Transplant Medicine: Biomarkers to the Rescue.

Authors:  Maarten Naesens; Dany Anglicheau
Journal:  J Am Soc Nephrol       Date:  2017-10-09       Impact factor: 10.121

6.  Cystatin C and serum creatinine as predictors of kidney graft outcome.

Authors:  Visnja Lezaic; Marijana Dajak; Dragana Radivojevic; Stojanka Ristic; Jelena Marinkovic
Journal:  Int Urol Nephrol       Date:  2013-12-14       Impact factor: 2.370

Review 7.  Through a glass darkly: seeking clarity in preventing late kidney transplant failure.

Authors:  Mark D Stegall; Robert S Gaston; Fernando G Cosio; Arthur Matas
Journal:  J Am Soc Nephrol       Date:  2014-08-05       Impact factor: 10.121

8.  Transient elastography: a new noninvasive diagnostic tool for assessment of chronic allograft nephropathy.

Authors:  V Lukenda; I Mikolasevic; S Racki; I Jelic; D Stimac; L Orlic
Journal:  Int Urol Nephrol       Date:  2014-03-29       Impact factor: 2.370

9.  Delayed Graft Function Phenotypes and 12-Month Kidney Transplant Outcomes.

Authors:  Isaac E Hall; Peter P Reese; Mona D Doshi; Francis L Weng; Bernd Schröppel; William S Asch; Joseph Ficek; Heather Thiessen-Philbrook; Chirag R Parikh
Journal:  Transplantation       Date:  2017-08       Impact factor: 4.939

10.  High urinary excretion of kidney injury molecule-1 is an independent predictor of graft loss in renal transplant recipients.

Authors:  Mirjan M van Timmeren; Vishal S Vaidya; Rutger M van Ree; Leendert H Oterdoom; Aiko P J de Vries; Reinold O B Gans; Harry van Goor; Coen A Stegeman; Joseph V Bonventre; Stephan J L Bakker
Journal:  Transplantation       Date:  2007-12-27       Impact factor: 4.939

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