An official website of the United States government
Publication Information
Affiliation
Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Electronic address: crebhol1@jhu.edu.; William B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.; Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY.; Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.; William B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.; Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN.; National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.; Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA; Section of Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA.; Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.; William B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.; Division of Nephrology, Department of Medicine, University of California, San Francisco School of Medicine, San Francisco, CA.; William B. Schwartz Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.; Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Authors
Rebholz Casey M, Inker Lesley A, Chen Yuan, Liang Menglu, Foster Meredith C, Eckfeldt John H, Kimmel Paul L, Vasan Ramachandran S, Feldman Harold I, Sarnak Mark J, Hsu Chi-Yuan, Levey Andrew S, Coresh Josef
Studies
Abstract
Using change in estimated glomerular filtration rate (eGFR) based on creatinine concentration as a surrogate outcome in clinical trials of chronic kidney disease has been proposed. Risk for end-stage renal disease (ESRD) and all-cause mortality associated with change in concentrations of other filtration markers has not been studied in chronic kidney disease populations.