The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation incorporating both cystatin C and creatinine best predicts individual risk: A cohort study in 444 patients with chronic kidney disease

Nephrology Dialysis Transplantation

Volumn 29, Issue 2, 2014, Pages 348-355

  Rogacev, Kyrill S ^a   Pickering, John W ^b   Seiler, Sarah ^a   Zawada, Adam M ^a   Emrich, Insa ^a   Fliser, Danilo ^a   Heine, Gunnar H ^a  

^a SAARLAND UNIVERSITY   (Germany)

^b UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

albuminuria; CKD EPIcreat cys; creatinine; cystatin C; glomerular filtration rate; renal outcomes

Indexed keywords

CREATININE; CYSTATIN C; PARATHYROID HORMONE; PHOSPHATE;

AGED; ALBUMINURIA; ARTICLE; BLOOD SAMPLING; CARDIOVASCULAR DISEASE; CHRONIC KIDNEY DISEASE; COHORT ANALYSIS; CONTROLLED STUDY; DEATH; DIABETES MELLITUS; DISEASE COURSE; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY FUNCTION; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PREDICTION; PREVALENCE; PRIORITY JOURNAL; RISK FACTOR;

ALBUMINURIA; CKD-EPICREAT-CYS; CREATININE; CYSTATIN C; GLOMERULAR FILTRATION RATE; RENAL OUTCOMES;

AGED; BIOLOGICAL MARKERS; CARDIOVASCULAR DISEASES; CAUSE OF DEATH; COOPERATIVE BEHAVIOR; CREATININE; CROSS-SECTIONAL STUDIES; CYSTATIN C; FEMALE; FOLLOW-UP STUDIES; GLOMERULAR FILTRATION RATE; HUMANS; MALE; NEW ZEALAND; PREDICTIVE VALUE OF TESTS; PROGNOSIS; RENAL INSUFFICIENCY, CHRONIC; RISK ASSESSMENT; RISK FACTORS; SURVIVAL RATE; TIME FACTORS;

EID: 84896736254     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gft422     Document Type: Article

References (17)

1. Tangri N, Stevens LA, Griffith J et al. A predictive model for progression of chronic kidney disease to kidney failure. JAMA 2011; 305: 1553-1559
2. Astor BC, Matsushita K, Gansevoort RT et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-Analysis of kidney disease population cohorts. Kidney Int 2011; 79: 1331-1340
3. Levey AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612
4. Inker LA, Schmid CH, Tighiouart H et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 2012; 367: 20-29
5. K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis 2002; 39: S1-S266
6. Matsushita K, Mahmoodi BK, Woodward M et al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA 2012; 307: 1941-1951
7. Levey AS, Stevens LA. Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: More accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am J Kidney Dis 2010; 55: 622-627
8. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Inter 2013; 3(Suppl.): 1-150
9. Seiler S, Wen M, Roth HJ et al. Plasma Klotho is not related to kidney function and does not predict adverse outcome in patients with chronic kidney disease. Kidney Int 2013; 83: 121-128
10. Grun OS, Herath E, Weihrauch A et al. Does the measurement of the difference of resistive indexes in spleen and kidney allow a selective assessment of chronic kidney injury?. Radiology 2012; 264: 894-902
11. Pencina MJ, D'Agostino RB, Sr, D'Agostino RB, Jr et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med 2008; 27: 157-172; discussion 207-12
12. Pickering JW, Endre ZH. New metrics for assessing diagnostic potential of candidate biomarkers. Clin J Am Soc Nephrol 2012; 7: 1355-1364
13. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 1988; 44: 837-845
14. Pencina MJ, D'Agostino RB, Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011; 30: 11-21
15. Skupien J, Warram JH, Groop PH et al. Cystatin-Based Estimated GFR Versus Creatinine-Based and Creatinine-And Cystatin-Based Estimated GFR for ESRD and Mortality Risk in Diabetes. Am J Kidney Dis 2013; 62: 184-186
16. Stevens LA, Schmid CH, Greene T et al. Factors other than glomerular filtration rate affect serum cystatin C levels. Kidney Int 2008; 75: 652-660
17. Rule AD, Glassock RJ. GFR Estimating Equations: Getting Closer to the Truth?. Clin J Am Soc Nephrol 2013; 8: 1414-20