Table of Contents Author Guidelines Submit a Manuscript
Disease Markers
Volume 2016, Article ID 7304538, 13 pages
http://dx.doi.org/10.1155/2016/7304538
Research Article

Measurement of the Red Blood Cell Distribution Width Improves the Risk Prediction in Cardiac Resynchronization Therapy

1Heart and Vascular Center, Semmelweis University, Városmajor Utca 68, Budapest 1122, Hungary
2Third Department of Internal Medicine, Semmelweis University, Budapest, Hungary

Received 14 October 2015; Revised 7 December 2015; Accepted 24 December 2015

Academic Editor: Alberto Marra

Copyright © 2016 András Mihály Boros 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. R. R. J. van Kimmenade and J. L. Januzzi Jr., “Emerging biomarkers in heart failure,” Clinical Chemistry, vol. 58, no. 1, pp. 127–138, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Tonelli, F. Sacks, M. Arnold, L. Moye, B. Davis, and M. Pfeffer, “Relation between red blood cell distribution width and cardiovascular event rate in people with coronary disease,” Circulation, vol. 117, no. 2, pp. 163–168, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Dabbah, H. Hammerman, W. Markiewicz, and D. Aronson, “Relation between red cell distribution width and clinical outcomes after acute myocardial infarction,” American Journal of Cardiology, vol. 105, no. 3, pp. 312–317, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Ani and B. Ovbiagele, “Elevated red blood cell distribution width predicts mortality in persons with known stroke,” Journal of the Neurological Sciences, vol. 277, no. 1-2, pp. 103–108, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. G. M. Felker, L. A. Allen, S. J. Pocock et al., “Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM program and the Duke Databank,” Journal of the American College of Cardiology, vol. 50, no. 1, pp. 40–47, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Al-Najjar, K. M. Goode, J. Zhang, J. G. F. Cleland, and A. L. Clark, “Red cell distribution width: an inexpensive and powerful prognostic marker in heart failure,” European Journal of Heart Failure, vol. 11, no. 12, pp. 1155–1162, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. Z. Förhécz, T. Gombos, G. Borgulya, Z. Pozsonyi, Z. Prohászka, and L. Jánoskuti, “Red cell distribution width in heart failure: prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state,” American Heart Journal, vol. 158, no. 4, pp. 659–666, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. L. Huang, Z. D. Hu, S. J. Liu et al., “Prognostic value of red blood cell distribution width for patients with heart failure: a systematic review and meta-analysis of cohort studies,” PLoS ONE, vol. 9, no. 8, Article ID e104861, 2014. View at Publisher · View at Google Scholar
  9. N. Malandrino, W. C. Wu, T. H. Taveira, H. B. Whitlatch, and R. J. Smith, “Association between red blood cell distribution width and macrovascular and microvascular complications in diabetes,” Diabetologia, vol. 55, no. 1, pp. 226–235, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. Z. Hu, Y. Sun, Q. Wang et al., “Red blood cell distribution width is a potential prognostic index for liver disease,” Clinical Chemistry and Laboratory Medicine, vol. 51, no. 7, pp. 1403–1408, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Ujszaszi, M. Z. Molnar, M. E. Czira, M. Novak, and I. Mucsi, “Renal function is independently associated with red cell distribution width in kidney transplant recipients: a potential new auxiliary parameter for the clinical evaluation of patients with chronic kidney disease,” British Journal of Haematology, vol. 161, no. 5, pp. 715–725, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Brignole, A. Auricchio, G. Baron-Esquivias et al., “2013 ESC Guidelines on cardiac pacing and cardiac resynchronization therapy,” European Heart Journal, vol. 34, no. 29, pp. 2281–2329, 2013. View at Publisher · View at Google Scholar
  13. F. A. McAlister, J. Ezekowitz, N. Hooton et al., “Cardiac resynchronization therapy for patients with left ventricular systolic dysfunction: a systematic review,” The Journal of the American Medical Association, vol. 297, no. 22, pp. 2502–2514, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. U. Celikyurt, A. Agacdiken, T. Sahin, G. Kozdag, A. Vural, and D. Ural, “Association between red blood cell distribution width and response to cardiac resynchronization therapy,” Journal of Interventional Cardiac Electrophysiology, vol. 35, no. 2, pp. 215–218, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Rickard, D. J. Kumbhani, E. Z. Gorodeski et al., “Elevated red cell distribution width is associated with impaired reverse ventricular remodeling and increased mortality in patients undergoing cardiac resynchronization therapy,” Congestive Heart Failure, vol. 18, no. 2, pp. 79–84, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Topaz, M. Haim, J. Kusniec et al., “Association between red cell distribution width and mortality after cardiac resynchronization therapy,” Israel Medical Association Journal, vol. 17, no. 8, pp. 505–509, 2015. View at Google Scholar
  17. A. M. Boros, G. Szeplaki, P. Perge et al., “The ratio of the neutrophil leucocytes to the lymphocytes predicts the outcome after cardiac resynchronization therapy,” Europace, 2015. View at Publisher · View at Google Scholar
  18. K. Dickstein, P. E. Vardas, A. Auricchio et al., “2010 Focused Update of ESC Guidelines on device therapy in heart failure: an update of the 2008 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure and the 2007 ESC guidelines for cardiac and resynchronization therapy. Developed with the special contribution of the Heart Failure Association and the European Heart Rhythm Association,” European Heart Journal, vol. 31, no. 21, pp. 2677–2687, 2010. View at Publisher · View at Google Scholar
  19. F. E. Harrell Jr., K. L. Lee, and D. B. Mark, “Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors,” Statistics in Medicine, vol. 15, no. 4, pp. 361–387, 1996. View at Google Scholar · View at Scopus
  20. E. W. Steyerberg, A. J. Vickers, N. R. Cook et al., “Assessing the performance of prediction models: a framework for traditional and novel measures,” Epidemiology, vol. 21, no. 1, pp. 128–138, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. L. Gullestad, T. Ueland, L. E. Vinge, A. Finsen, A. Yndestad, and P. Aukrust, “Inflammatory cytokines in heart failure: mediators and markers,” Cardiology, vol. 122, no. 1, pp. 23–35, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. D. Silverberg, “Outcomes of anaemia management in renal insufficiency and cardiac disease,” Nephrology Dialysis Transplantation, vol. 18, supplement 2, pp. ii7–ii12, 2003. View at Publisher · View at Google Scholar
  23. M. W. Dünser and W. R. Hasibeder, “Sympathetic overstimulation during critical illness: adverse effects of adrenergic stress,” Journal of Intensive Care Medicine, vol. 24, no. 5, pp. 293–316, 2009. View at Publisher · View at Google Scholar · View at Scopus
  24. H. Uno, L. Tian, T. Cai, I. S. Kohane, and L. J. Wei, “A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data,” Statistics in Medicine, vol. 32, no. 14, pp. 2430–2442, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  25. M. H. Kroll, P. J. Twomey, and P. Srisawasdi, “Using the single-compartment ratio model to calculate half-life, NT-proBNP as an example,” Clinica Chimica Acta, vol. 380, no. 1-2, pp. 197–202, 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. D. Shemin and D. Rittenberg, “The life span of the human red blood cell,” The Journal of Biological Chemistry, vol. 166, no. 2, pp. 627–636, 1946. View at Google Scholar