Poor predictive value of serum creatinine for renal allograft loss. 2003

Bruce Kaplan, and Jesse Schold, and Herwig-Ulf Meier-Kriesche
University of Florida College of Medicine, Gainesville, FL, USA. kaplab@medicine.ufl.edu

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.

UI MeSH Term Description Entries
D007668 Kidney Body organ that filters blood for the secretion of URINE and that regulates ion concentrations. Kidneys
D008297 Male Males
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003404 Creatinine Creatinine Sulfate Salt,Krebiozen,Salt, Creatinine Sulfate,Sulfate Salt, Creatinine
D005260 Female Females
D006084 Graft Rejection An immune response with both cellular and humoral components, directed against an allogeneic transplant, whose tissue antigens are not compatible with those of the recipient. Transplant Rejection,Rejection, Transplant,Transplantation Rejection,Graft Rejections,Rejection, Graft,Rejection, Transplantation,Rejections, Graft,Rejections, Transplant,Rejections, Transplantation,Transplant Rejections,Transplantation Rejections
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D014184 Transplantation, Homologous Transplantation between individuals of the same species. Usually refers to genetically disparate individuals in contradistinction to isogeneic transplantation for genetically identical individuals. Transplantation, Allogeneic,Allogeneic Grafting,Allogeneic Transplantation,Allografting,Homografting,Homologous Transplantation,Grafting, Allogeneic
D016030 Kidney Transplantation The transference of a kidney from one human or animal to another. Grafting, Kidney,Renal Transplantation,Transplantation, Kidney,Transplantation, Renal,Kidney Grafting,Kidney Transplantations,Renal Transplantations,Transplantations, Kidney,Transplantations, Renal

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