Table of Contents
Advances in Nephrology
Volume 2015 (2015), Article ID 657624, 8 pages
http://dx.doi.org/10.1155/2015/657624
Clinical Study

Predictors of a Rapid Decline of Renal Function in Patients with Chronic Kidney Disease Referred to a Nephrology Outpatient Clinic: A Longitudinal Study

1Department of Nephrology, Hospital Universitario Severo Ochoa, Avenida Orellana s/n, Leganés, 28911 Madrid, Spain
2Department of Medical Specialties, Psychology and Applied Pedagogy, European University, Villaviciosa de Odon, 28670 Madrid, Spain

Received 23 August 2015; Revised 11 October 2015; Accepted 10 November 2015

Academic Editor: Lawrence H. Lash

Copyright © 2015 Ana Vigil et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Tonelli and M. Riella, “Chronic kidney disease and the aging population,” Nephrology Dialysis Transplantation, vol. 29, no. 2, pp. 221–224, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. A. J. Collins, S. Li, D. T. Gilbertson, J. Liu, S.-C. Chen, and C. A. Herzog, “Chronic kidney disease and cardiovascular disease in the Medicare population,” Kidney International, Supplement, vol. 64, no. 87, pp. S24–S31, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. J. B. Echouffo-Tcheugui and A. P. Kengne, “Risk models to predict chronic kidney disease and its progression: a systematic review,” PLoS Medicine, vol. 9, no. 11, Article ID e1001344, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. N. Tangri, G. D. Kitsios, L. A. Inker et al., “Risk prediction models for patients with chronic kidney disease: a systematic review,” Annals of Internal Medicine, vol. 158, no. 8, pp. 596–603, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. H. I. Feldman, L. J. Appel, G. M. Chertow et al., “The Chronic Renal Insufficiency Cohort (CRIC) Study: design and methods,” Journal of the American Society of Nephrology, vol. 14, no. 7, supplement 2, pp. S148–S153, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. R. R. Townsend, “Arterial stiffness and chronic kidney disease: lessons from the Chronic Renal Insufficiency Cohort study,” Current Opinion in Nephrology and Hypertension, vol. 24, no. 1, pp. 47–53, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Rahman, D. Xie, H. I. Feldman et al., “Association between chronic kidney disease progression and cardiovascular disease: results from the CRIC study,” American Journal of Nephrology, vol. 40, no. 5, pp. 399–407, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. N. Bansal, M. Keane, P. Delafontaine et al., “A longitudinal study of left ventricular function and structure from CKD to ESRD: the CRIC study,” Clinical Journal of the American Society of Nephrology, vol. 8, no. 3, pp. 355–362, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. L. J. Appel, J. Middleton, E. R. Miller III et al., “The rationale and design of the AASK Cohort Study,” Journal of the American Society of Nephrology, vol. 14, supplement 2, pp. S166–S172, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Levin, C. Rigatto, B. Brendan et al., “Cohort profile: canadian study of prediction of death, dialysis and interim cardiovascular events (CanPREDDICT),” BMC Nephrology, vol. 14, no. 1, article 121, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. C. S. Fox, K. Matsushita, M. Woodward et al., “Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis,” The Lancet, vol. 380, no. 9854, pp. 1662–1673, 2012. View at Publisher · View at Google Scholar · View at Scopus
  12. B. K. Mahmoodi, K. Matsushita, M. Woodward et al., “Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis,” The Lancet, vol. 380, no. 9854, pp. 1649–1661, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. K.-U. Eckardt, B. Bärthlein, B.-A. Seema et al., “The German Chronic Kidney Disease (GCKD) Study: design and methods,” Nephrology Dialysis Transplantation, vol. 27, no. 4, pp. 1454–1460, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Titze, M. Schmid, A. Köttgen et al., “Disease burden and risk profile in referred patients with moderate chronic kidney disease: composition of the German Chronic Kidney Disease (GCKD) cohort,” Nephrology Dialysis Transplantation, vol. 30, no. 3, pp. 441–451, 2015. View at Google Scholar
  15. R. Agarwal, K. L. Duffin, D. A. Laska, J. R. Voelker, M. D. Breyer, and P. G. Mitchell, “A prospective study of multiple protein biomarkers to predict progression in diabetic chronic kidney disease,” Nephrology Dialysis Transplantation, vol. 29, no. 12, pp. 2293–2302, 2014. View at Publisher · View at Google Scholar
  16. C. M. Rebholz, M. E. Grams, J. Coresh et al., “Serum fibroblast growth factor-23 is associated with incident kidney disease,” Journal of the American Society of Nephrology, vol. 26, no. 1, pp. 192–200, 2015. View at Publisher · View at Google Scholar
  17. N. Halbesma, D.-S. Kuiken, A. H. Brantsma et al., “Macroalbuminuria is a better risk marker than low estimated GFR to identify individuals at risk for accelerated GFR loss in population screening,” Journal of the American Society of Nephrology, vol. 17, no. 9, pp. 2582–2590, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. “Chapter 2: definition, identification, and prediction of CKD progression,” Kidney International Supplements, vol. 3, no. 1, pp. 63–72, 2013. View at Publisher · View at Google Scholar
  19. N. S. Anavekar, J. J. V. McMurray, E. J. Velazquez et al., “Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction,” The New England Journal of Medicine, vol. 351, no. 13, pp. 1285–1295, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. A. S. Levey, L. A. Stevens, C. H. Schmid et al., “A new equation to estimate glomerular filtration rate,” Annals of Internal Medicine, vol. 150, no. 9, pp. 604–612, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. Z. Al-Aly and O. Cepeda, “Rate of change in kidney function and the risk of death: the case for incorporating the rate of kidney function decline into the ckd staging system,” Nephron: Clinical Practice, vol. 119, no. 2, pp. c179–c186, 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. J. S. Bock and S. S. Gottlieb, “Contemporary reviews in cardiovascular medicine: cardiorenal syndrome,” Circulation, vol. 121, pp. 2592–2600, 2010. View at Publisher · View at Google Scholar
  23. J. S. Bock and S. S. Gottlieb, “Cardiorenal syndrome: new perspectives,” Circulation, vol. 121, no. 23, pp. 2592–2600, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. S.-C. Chen, J.-M. Chang, Y.-C. Tsai et al., “Left atrial diameter and albumin with renal outcomes in chronic Kidney disease,” International Journal of Medical Sciences, vol. 10, no. 5, pp. 575–584, 2013. View at Publisher · View at Google Scholar · View at Scopus
  25. D. E. Forman, J. Butler, Y. Wang et al., “Incidence, predictors at admission, and impact of worsening renal function among patients hospitalized with heart failure,” Journal of the American College of Cardiology, vol. 43, no. 1, pp. 61–67, 2004. View at Publisher · View at Google Scholar · View at Scopus
  26. A. M. O’Hare, A. I. Choi, D. Bertenthal et al., “Age affects outcomes in chronic kidney disease,” Journal of the American Society of Nephrology, vol. 18, no. 10, pp. 2758–2765, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. M. G. Shlipak, R. Katz, B. Kestenbaum, L. F. Fried, D. Siscovick, and M. J. Sarnak, “Clinical and subclinical cardiovascular disease and kidney function decline in the elderly,” Atherosclerosis, vol. 204, no. 1, pp. 298–303, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. C. S. Fox, P. Gona, M. G. Larson et al., “A multi-marker approach to predict incident CKD and microalbuminuria,” Journal of the American Society of Nephrology, vol. 21, no. 12, pp. 2143–2149, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. C. A. Peralta, M. G. Shlipak, S. Judd et al., “Detection of chronic kidney disease with creatinine, cystatin c, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality,” The Journal of the American Medical Association, vol. 305, no. 15, pp. 1545–1552, 2011. View at Publisher · View at Google Scholar · View at Scopus
  30. T. A. Ikizler, R. L. Wingard, J. Harvell, Y. Shyr, and R. M. Hakim, “Association of morbidity with markers of nutrition and inflammation in chronic hemodialysis patients: a prospective study,” Kidney International, vol. 55, no. 5, pp. 1945–1951, 1999. View at Publisher · View at Google Scholar · View at Scopus
  31. M. Essig, B. Escoubet, D. de Zuttere et al., “Cardiovascular remodelling and extracellular fluid excess in early stages of chronic kidney disease,” Nephrology Dialysis Transplantation, vol. 23, no. 1, pp. 239–248, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. Y.-C. Tsai, J.-C. Tsai, S.-C. Chen et al., “Association of fluid overload with kidney disease progression in advanced CKD: a prospective cohort study,” American Journal of Kidney Diseases, vol. 63, no. 1, pp. 68–75, 2014. View at Publisher · View at Google Scholar · View at Scopus