Comparison of methods for determining renal function decline in early autosomal dominant polycystic kidney disease: the consortium of radiologic imaging studies of polycystic kidney disease cohort.

A decline in renal function suggests progression of chronic kidney disease. This can be determined by measured GFR (e.g., iothalamate clearance), serum creatinine (SCr)-based GFR estimates, or creatinine clearance. A cohort of 234 patients with autosomal dominant polycystic kidney disease and baseline creatinine clearance>70 ml/min were followed annually for four visits. Iothalamate clearance, SCr, and creatinine clearance were obtained at each visit. Estimated GFR (eGFR) was determined with the Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault equations. Renal function slopes had a mean residual SD of 10.7% by iothalamate clearance, 8.2% by MDRD equation, 7.7% by Cockcroft-Gault equation, and 14.8% by creatinine clearance. By each method, a decline in renal function (lowest quintile slope) was compared among baseline predictors. Hypertension was associated with a decline in iothalamate clearance (odds ratio [OR] 5.8; 95% confidence interval [CI] 2.3 to 14), eGFR (OR [MDRD] 2.0 [95% CI 1.0 to 4.2] or OR [Cockcroft-Gault] 1.9 [95% CI 0.9 to 3.9]), and creatinine clearance (OR 2.0; 95% CI 1.0 to 4.2). Each doubling of kidney volume at baseline was associated with a decline in iothalamate clearance (OR 2.4; 95% CI 1.5 to 3.7), eGFR (OR 1.7 [95% CI 1.1 to 2.6] or 2.1 [95% CI 1.4 to 3.3]), and creatinine clearance (OR 1.7; 95% CI 1.1 to 2.5). Predictor associations were strongest with measured GFR. Misclassification from changes in non-GFR factors (e.g., creatinine production, tubular secretion) conservatively biased associations with eGFR. Misclassification from method imprecision attenuated associations with creatinine clearance.

[1]  G. Eknoyan,et al.  Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). , 2005, Kidney international.

[2]  R. Nelson,et al.  Detection of renal function decline in patients with diabetes and normal or elevated GFR by serial measurements of serum cystatin C concentration: results of a 4-year follow-up study. , 2005, Journal of the American Society of Nephrology : JASN.

[3]  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.

[4]  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.

[5]  L. Appel,et al.  A comparison of iothalamate-GFR and serum creatinine-based outcomes: acceleration in the rate of GFR decline in the African American Study of Kidney Disease and Hypertension. , 2004, Journal of the American Society of Nephrology : JASN.

[6]  J. Barthélémy,et al.  Assessing renal graft function in clinical trials: can tests predicting glomerular filtration rate substitute for a reference method? , 2004, Kidney international.

[7]  Ajay K. Singh,et al.  A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease. , 2003, Journal of the American Society of Nephrology : JASN.

[8]  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.

[9]  K. Hsu,et al.  Environmental lead exposure and progression of chronic renal diseases in patients without diabetes. , 2003, The New England journal of medicine.

[10]  Ann M. Johnson,et al.  Relationship between renal volume growth and renal function in autosomal dominant polycystic kidney disease: a longitudinal study. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[11]  G. Curhan,et al.  Methodological issues in studying the epidemiology of mild to moderate chronic renal insufficiency. , 2002, Kidney international.

[12]  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.

[13]  Anna Oliveras,et al.  Rapid decline in renal function reflects reversibility and predicts the outcome after angioplasty in renal artery stenosis. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[14]  R. Pollastro,et al.  Level of hydration and renal function in healthy humans. , 2001, Kidney international.

[15]  David Roth,et al.  A simplified equation to predict glomerular filtration rate from serum creatinine , 2000 .

[16]  B F King,et al.  Quantification and longitudinal trends of kidney, renal cyst, and renal parenchyma volumes in autosomal dominant polycystic kidney disease. , 2000, Journal of the American Society of Nephrology : JASN.

[17]  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.

[18]  M. Ravid,et al.  Main risk factors for nephropathy in type 2 diabetes mellitus are plasma cholesterol levels, mean blood pressure, and hyperglycemia. , 1998, Archives of internal medicine.

[19]  T. Larson,et al.  GFR determined by nonradiolabeled iothalamate using capillary electrophoresis. , 1997, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[20]  A. Levey,et al.  Effects of dietary protein restriction on the progression of advanced renal disease in the Modification of Diet in Renal Disease Study. , 1996, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[21]  R. G. Walker,et al.  Evaluation of ultrasonographic diagnostic criteria for autosomal dominant polycystic kidney disease 1 , 1994, The Lancet.

[22]  R. Neuwirth,et al.  Renal function change in hypertensive members of the Multiple Risk Factor Intervention Trial. Racial and treatment effects. The MRFIT Research Group. , 1992, JAMA.

[23]  M. Petri,et al.  Serial assessment of glomerular filtration rate in lupus nephropathy. , 1988, Kidney international.

[24]  M. Walser,et al.  Creatinine excretion as a measure of protein nutrition in adults of varying age. , 1987, JPEN. Journal of parenteral and enteral nutrition.

[25]  N. Shock,et al.  Association between blood pressure and the rate of decline in renal function with age. , 1984, Kidney international.

[26]  J. Bauer,et al.  Clinical appraisal of creatinine clearance as a measurement of glomerular filtration rate. , 1982, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[27]  M. H. Gault,et al.  Prediction of creatinine clearance from serum creatinine. , 1975, Nephron.

[28]  D. DuBois,et al.  A formula to estimate the approximate surface area if height and weight be known , 1989 .

[29]  D. D. Bois,et al.  CLINICAL CALORIMETRY: TENTH PAPER A FORMULA TO ESTIMATE THE APPROXIMATE SURFACE AREA IF HEIGHT AND WEIGHT BE KNOWN , 1916 .