Validation of the kidney failure risk equation in European CKD patients

Nephrology Dialysis Transplantation

Volumn 28, Issue 7, 2013, Pages 1773-1779

  Peeters, Mieke J ^a,b   Van Zuilen, Arjan D ^c   Van Den Brand, Jan A J G ^a   Bots, Michiel L ^c   Blankestijn, Peter J ^c   Wetzels, Jack F M ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b CANISIUS WILHELMINA HOSPITAL   (Netherlands)

^c UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Chronic kidney disease; Kidney failure; Risk prediction models; Validation

Indexed keywords

ALBUMIN; BICARBONATE; CALCIUM; PHOSPHATE;

ADULT; ALBUMINURIA; ARTICLE; CHRONIC KIDNEY DISEASE; CONTROLLED STUDY; DIALYSIS; DISEASE SEVERITY; EUROPE; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY FAILURE; KIDNEY TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; VALIDATION STUDY;

CHRONIC KIDNEY DISEASE; KIDNEY FAILURE; RISK PREDICTION MODELS; VALIDATION;

AREA UNDER CURVE; DISEASE PROGRESSION; EUROPE; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; KIDNEY FAILURE, CHRONIC; MALE; MIDDLE AGED; MODELS, THEORETICAL; RENAL INSUFFICIENCY, CHRONIC; RISK ASSESSMENT; ROC CURVE;

EID: 84884529195     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gft063     Document Type: Article

References (23)

1. Zhang QL, Rothenbacher D. Prevalence of chronic kidney disease in population-based studies: systematic review. BMC Public Health 2008; 8: 117
2. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002; 39 (2 Suppl 1): S1-S266
3. Ruggenenti P, Schieppati A, Remuzzi G. Progression, remission, regression of chronic renal diseases. Lancet 2001; 357: 1601-1608
4. Coresh J, Selvin E, Stevens LA et al. Prevalence of chronic kidney disease in the United States. JAMA 2007; 298: 2038-2047
5. 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
6. Szeto CC, Leung CB, Wong TY et al. Extrapolation of reciprocal creatinine plot is not reliable in predicting the onset of dialysis in patients with progressive renal insufficiency. J Intern Med 2003; 253: 335-342
7. Van Zuilen AD, Wetzels JF, Blankestijn PJ et al. Rationale and design of the MASTERPLAN study: multifactorial approach and superior treatment efficacy in renal patients with the aid of nurse practitioners. J Nephrol 2005; 18: 30-34
8. van Zuilen AD, van der Tweel I, Blankestijn PJ et al. Multifactorial approach and superior treatment efficacy in renal patients with the aid of nurse practitioners. Design of the MASTERPLAN Study [ISRCTN73187232]. Trials 2006; 7: 8
9. van Zuilen AD, Bots ML, Dulger A et al. Multifactorial intervention with nurse practitioners does not change cardiovascular outcomes in patients with chronic kidney disease. Kidney Int 2012; 82: 710-717
10. Ghomrawi HM, Mandl LA, Rutledge J et al. Is there a role for expectation maximization imputation in addressing missing data in research using WOMAC questionnaire? Comparison to the standard mean approach and a tutorial. BMC Musculoskelet Disord 2011; 12: 109
11. Levey AS, Greene T, Kusek JW et al. A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 2000; 11: 155A
12. Fletcher RH, Fletcher SW, Wagner EH. Clinical Epidemiology: The Essentials. 3rd edn. Baltimore: Lippincott Williams & Wilkins, 1996
13. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983; 148: 839-843
14. Hosmer D, Lemeshow S. Applied Logistic Regression. New York: John Wiley & Sons, Inc., 2000
15. Janssens AC, Khoury MJ. Assessment of improved prediction beyond traditional risk factors: when does a difference make a difference? Circ Cardiovasc Genet 2010; 3: 3-5
16. van der Heijden GJ, Donders AR, Stijnen T et al. Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example. J Clin Epidemiol 2006; 59: 1102-1109
17. De Nicola L, Minutolo R, Chiodini P et al. Global approach to cardiovascular risk in chronic kidney disease: reality and opportunities for intervention. Kidney Int 2006; 69: 538-545
18. Dawnay A, Farrington K, Castledine C et al. UK Renal Registry 12th Annual Report (December 2009): chapter 10: biochemistry profile of patients receiving dialysis in the UK in 2008: national and centre-specific analyses. Nephron Clin Pract 2010; 115: c187-c237
19. Arenas MD, Alvarez-Ude F, Gil MT et al. Application of NKF-K/DOQI Clinical Practice Guidelines for bone metabolism and disease: changes of clinical practices and their effects on outcomes and quality standards in three haemodialysis units. Nephrol Dial Transplant 2006; 21: 1663-1668
20. van Zuilen AD, Blankestijn PJ, van Buren M et al. Quality of care in patients with chronic kidney disease is determined by hospital specific factors. Nephrol Dial Transplant 2010; 25: 3647-3654
21. Leslie WD, Morin S, Lix LM. A before-and-after study of fracture risk reporting and osteoporosis treatment initiation. Ann Intern Med 2010; 153: 580-586
22. Tonelli M, Manns B. Supplementing creatinine-based estimates of risk in chronic kidney disease: is it time? JAMA 2011; 305: 1593-1595
23. Moons KG, Altman DG, Vergouwe Y et al. Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ 2009; 338: b606