A new equation to estimate glomerular filtration rate.

BACKGROUND Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. OBJECTIVE To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. DESIGN Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. SETTING Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. PARTICIPANTS 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. MEASUREMENTS GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. RESULTS In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). LIMITATION The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. CONCLUSION The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. PRIMARY FUNDING SOURCE National Institute of Diabetes and Digestive and Kidney Diseases.

[1]  C. Winearls,et al.  An epidemic of chronic kidney disease: fact or fiction? , 2007, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[2]  H. Parving,et al.  Effect of dietary protein restriction on prognosis in patients with diabetic nephropathy. , 2002, Kidney international.

[3]  A. Go,et al.  The Chronic Renal Insufficiency Cohort (CRIC) Study: Design and Methods. , 2003, Journal of the American Society of Nephrology : JASN.

[4]  Bertram L Kasiske,et al.  Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. , 2003, Circulation.

[5]  Tom Greene,et al.  Assessing kidney function--measured and estimated glomerular filtration rate. , 2006, The New England journal of medicine.

[6]  P. Magner,et al.  Canadian Association of Radiologists: consensus guidelines for the prevention of contrast-induced nephropathy. , 2007, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.

[7]  H. Parving,et al.  Efficacy of captopril in postponing nephropathy in normotensive insulin dependent diabetic patients with microalbuminuria. , 1991, BMJ.

[8]  Ethan M Balk,et al.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[9]  N. Madias,et al.  Serum creatinine as an index of renal function: new insights into old concepts. , 1992, Clinical chemistry.

[10]  M. Mauer,et al.  The early natural history of nephropathy in type 1 diabetes: II. Early renal structural changes in type 1 diabetes. , 2002, Diabetes.

[11]  M. Mauer,et al.  The early natural history of nephropathy in type 1 diabetes: I. Study design and baseline characteristics of the study participants. , 2002, Diabetes.

[12]  L. Stevens,et al.  Chronic kidney disease is common: what do we do next? , 2007, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[13]  Tom Greene,et al.  Using Standardized Serum Creatinine Values in the Modification of Diet in Renal Disease Study Equation for Estimating Glomerular Filtration Rate , 2006, Annals of Internal Medicine.

[14]  G. Beck,et al.  Development and progression of renal disease in Pima Indians with non-insulin-dependent diabetes mellitus. Diabetic Renal Disease Study Group. , 1996, The New England journal of medicine.

[15]  Bertram L Kasiske,et al.  Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. , 2003, Hypertension.

[16]  B. Zinman,et al.  ACE-I and ARBs in early diabetic nephropathy , 2002, Journal of the renin-angiotensin-aldosterone system : JRAAS.

[17]  A Fournier,et al.  The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. , 1994, The New England journal of medicine.

[18]  H. Parving,et al.  Dual blockade of the renin-angiotensin system in type 1 patients with diabetic nephropathy. , 2002, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[19]  R. Bain,et al.  The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. , 1993 .

[20]  R. Tibshirani,et al.  Generalized additive models for medical research , 1995, Statistical methods in medical research.

[21]  H. Parving,et al.  Long-term renoprotective effect of nisoldipine and lisinopril in type 1 diabetic patients with diabetic nephropathy. , 2000, Diabetes care.

[22]  C. Schmid,et al.  Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD. , 2008, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[23]  Paul A Thompson,et al.  Renal structure in early autosomal-dominant polycystic kidney disease (ADPKD): The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) cohort. , 2003, Kidney international.

[24]  G. Navis,et al.  Predictive Performance of Renal Function Equations in Renal Transplant Recipients: An Analysis of Patient Factors in Bias , 2005, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[25]  T. Larson,et al.  Using Serum Creatinine To Estimate Glomerular Filtration Rate: Accuracy in Good Health and in Chronic Kidney Disease , 2004, Annals of Internal Medicine.

[26]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[27]  A. Levey,et al.  A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.

[28]  M. Zhan,et al.  Chronic kidney disease adversely influences patient safety. , 2008, Journal of the American Society of Nephrology : JASN.

[29]  Stefan Sperlich,et al.  Generalized Additive Models , 2014 .

[30]  T. Greene,et al.  Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease. , 2005, Journal of the American Society of Nephrology : JASN.

[31]  J. Koopmeiners,et al.  An alternative formula to the Cockcroft-Gault and the modification of diet in renal diseases formulas in predicting GFR in individuals with type 1 diabetes. , 2005, Journal of the American Society of Nephrology : JASN.

[32]  J. Coresh,et al.  Prevalence of chronic kidney disease in the United States. , 2007, JAMA.

[33]  J. Coresh,et al.  Calibration of serum creatinine in the National Health and Nutrition Examination Surveys (NHANES) 1988-1994, 1999-2004. , 2007, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[34]  W. Miller Reporting estimated GFR: a laboratory perspective. , 2008, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[35]  G. Klintmalm,et al.  Estimation of glomerular filtration rates before and after orthotopic liver transplantation: Evaluation of current equations , 2004, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[36]  N. Powe,et al.  International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. , 2006, Journal of the American Society of Nephrology : JASN.

[37]  G. Eknoyan,et al.  Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[38]  A. Levey,et al.  CKD: common, harmful, and treatable--World Kidney Day 2007. , 2007, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[39]  R. Bain,et al.  The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. The Collaborative Study Group. , 1993, The New England journal of medicine.

[40]  M Wolfson,et al.  Drug prescribing in renal failure: dosing guidelines for adults. , 1983, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[41]  G. Navis,et al.  Predictive Capacity of Pre‐Donation GFR and Renal Reserve Capacity for Donor Renal Function After Living Kidney Donation , 2006, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[42]  H. Parving,et al.  Dual blockade of the renin-angiotensin system versus maximal recommended dose of ACE inhibition in diabetic nephropathy. , 2003, Kidney international.

[43]  J. Lewis,et al.  Comparison of cross-sectional renal function measurements in African Americans with hypertensive nephrosclerosis and of primary formulas to estimate glomerular filtration rate. , 2001, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[44]  C. Schmid,et al.  Evaluation of the modification of diet in renal disease study equation in a large diverse population. , 2007, Journal of the American Society of Nephrology : JASN.

[45]  A. Go,et al.  The risk of acute renal failure in patients with chronic kidney disease. , 2008, Kidney international.

[46]  C. Schmid,et al.  Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database. , 2007, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[47]  Tom Greene,et al.  Chronic Kidney Disease Epidemiology Collaboration. Using standardized serum creatinine values in the Modification of Diet in Renal Disease study equation for estimating glomerular filtration rate (Annals of Internal Medicine (2006) 145, (247-254)) , 2008 .

[48]  P. Houillier,et al.  Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. , 2005, Journal of the American Society of Nephrology : JASN.

[49]  Kdoqi Disclaimer K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[50]  R. Tibshirani,et al.  Generalized Additive Models , 1991 .

[51]  Tom Greene,et al.  Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. , 2007, Clinical chemistry.

[52]  Anand Khurana,et al.  The effect of oral sodium phosphate drug products on renal function in adults undergoing bowel endoscopy. , 2008, Archives of internal medicine.

[53]  A. Christensson,et al.  Simple cystatin C-based prediction equations for glomerular filtration rate compared with the modification of diet in renal disease prediction equation for adults and the Schwartz and the Counahan-Barratt prediction equations for children. , 2005, Clinical chemistry.