American Journal of Kidney Diseases
Volume 52, Issue 4 , Pages 653-660 , October 2008

Predicting the Risk of Dialysis and Transplant Among Patients With CKD: A Retrospective Cohort Study

  • Eric S. Johnson, PhD

      Affiliations

    • Center for Health Research, Kaiser Permanente Northwest, Portland, OR
  • ,
  • Micah L. Thorp, DO, MPH

      Affiliations

    • Department of Nephrology, Kaiser Permanente Northwest, Portland, OR
  • ,
  • Robert W. Platt, PhD

      Affiliations

    • McGill University Health Centre Research Institute, Montreal, Quebec, Canada
  • ,
  • David H. Smith, RPh, PhD

      Affiliations

    • Center for Health Research, Kaiser Permanente Northwest, Portland, OR
    • Corresponding Author InformationAddress correspondence to David H. Smith, RPh, PhD, Center for Health Research, Kaiser Permanente Northwest, 3800 North Interstate Ave, Portland, OR 97227

Received 13 September 2007 ,Accepted 17 April 2008.

References 

  1. Levey AS, Coresh J, Balk E, et al. National Kidney Foundation practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Ann Intern Med. 2003;139:137–147
  2. National Service Framework for Renal Services. Part Two: Chronic Kidney Disease, Acute Renal Failure and End of Life Care. United Kingdom: Department of Health; 2005;Available at http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_4101902. Accessed June 18, 2008
  3. Giles PD, Fitzmaurice DA. Formula estimation of glomerular filtration rate: Have we gone wrong?. BMJ. 2007;334:1198–1200
  4. Johnson ES, Thorp ML, Yang X, et al. Predicting renal replacement therapy and mortality in CKD. Am J Kidney Dis. 2007;50:559–565
  5. Taal MW, Brenner BM. Predicting initiation and progression of chronic kidney disease: Developing renal risk scores. Kidney Int. 2006;70:1694–1705
  6. Thorp ML, Eastman L, Smith DH, et al. Managing the burden of chronic kidney disease. Dis Manag Health Outcomes. 2006;9:115–121
  7. Clase CM. Glomerular filtration rate: Screening cannot be recommended on the basis of current knowledge. BMJ. 2006;333:1030–1031
  8. Keane WF, Zhang Z, Lyle PA, et al. Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: The RENAAL Study. Clin J Am Soc Nephrol. 2006;1:761–767
  9. Selby J, Smith D, Johnson E, et al. Kaiser Permanente Medical Care Program. In:  Strom BL editors. Pharmacoepidemiology. New York, NY: Wiley; 2005;p. 241–260
  10. Harrell FE. Cox proportional hazards regression model. In:  Harrell FE editors. Regression Modeling Strategies. New York, NY: Springer; 2001;p. 465–507
  11. Little R, An H. Robust likelihood-based analysis of multivariate data with missing values. Stat Sinica. 2004;14:949–968
  12. Durrleman S, Simon R. Flexible regression models with cubic splines. Stat Med. 1989;8:551–561
  13. Harrell FE. Resampling, validating, describing, and simplifying the model. In:  Harrell FE editors. Regression Modeling Strategies. New York, NY: Springer; 2001;p. 87–103
  14. Sullivan LM, Massaro JM, D'Agostino RB. Presentation of multivariate data for clinical use: The Framingham Study risk score functions. Stat Med. 2004;23:1631–1660
  15. Lumley T, Kronmal RA, Cushman M, et al. A stroke prediction score in the elderly: Validation and web-based application. J Clin Epidemiol. 2002;55:129–136
  16. Feldman HI, Appel LJ, Chertow GM, et al. The Chronic Renal Insufficiency Cohort (CRIC) Study: Design and methods. J Am Soc Nephrol. 2003;14(suppl 2):S148–S153
  17. Rao M, Kausz AT, Mitchell D, et al. The Study of Treatment for Renal Insufficiency: Data and Evaluation (STRIDE), a national registry of chronic kidney disease. Semin Dial. 2002;15:366–369
  18. Yu HT. Progression of chronic renal failure. Arch Intern Med. 2003;163:1417–1429
  19. Wang TJ, Gona P, Larson MG, et al. Multiple biomarkers for the prediction of first major cardiovascular events and death. N Engl J Med. 2006;355:2631–2639
  20. Ware JH. The limitations of risk factors as prognostic tools. N Engl J Med. 2006;355:2615–2617
  21. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115:928–935
  22. Hallan SI, Dahl K, Oien CM, et al. Screening strategies for chronic kidney disease in the general population: Follow-up of cross sectional health survey. BMJ. 2006;333:1047–1052
  23. Kinchen KS, Sadler J, Fink N, et al. The timing of specialist evaluation in chronic kidney disease and mortality. Ann Intern Med. 2002;137:479–486
  24. Altman DG, Royston P. What do we mean by validating a prognostic model?. Stat Med. 2000;19:453–473
  25. D'Agostino S, Grundy S, Sullivan LM, et al. Validation of the Framingham coronary heart disease prediction scores: Results of a multiple ethnic groups investigation. JAMA. 2001;286:180–187
  26. Thorp ML, Weinstein J, Johnson ES, Yang X, Smith DH: Secular trends in kidney disease: Is the decreased incidence of renal replacement therapy due to a decrease in chronic kidney disease incidence? Clin Nephrol, in press

 Originally published online as doi:10.1053/j.ajkd.2008.04.026 on July 1, 2008.

PII: S0272-6386(08)00886-X

doi: 10.1053/j.ajkd.2008.04.026

American Journal of Kidney Diseases
Volume 52, Issue 4 , Pages 653-660 , October 2008