Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Transplantation

Strength in numbers—predicting long-term transplant outcomes

Nature Reviews Nephrology volume 7, pages 135–136 (2011)Cite this article

Subjects

Prediction of renal allograft outcomes has been elusive despite the number of risk factors that correlate with graft failure. Using a large French transplant database and novel statistical methods, Foucher et al. have produced a predictive scoring system for graft failure worthy of study in other populations.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

References

  1. Foucher, Y. et al. A clinical scoring system highly predictive of long-term kidney graft survival. Kidney Int. 78, 1288–1294 (2010).

    Article  Google Scholar 

  2. Toma, H., Tanabe, K., Tokumoto, T., Shimizu, T. & Shimmura, H. Time-dependent risk factors influencing the long-term outcome in living renal allografts: donor age is a crucial risk factor for long-term graft survival more than 5 years after transplantation. Transplantation 72, 940–947 (2001).

    Article  CAS  Google Scholar 

  3. Meier-Kriesche, H. U., Schold, J. D., Srinivas, T. R. & Kaplan, B. Lack of improvement in renal allograft survival despite a marked decrease in acute rejection rates over the most recent era. Am. J. Transplant. 4, 378–383 (2004).

    Article  Google Scholar 

  4. Opelz, G. & Döhler, B. for the Collaborative Transplant Study. Improved long-term outcomes after renal transplantation associated with blood pressure control. Am. J. Transplant. 5, 2725–2731 (2005).

    Article  Google Scholar 

  5. Denhaerynck, K. et al. Prevalence and risk factors of non-adherence with immunosuppressive medication in kidney transplant patients. Am. J. Transplant. 7, 108–116 (2007).

    Article  CAS  Google Scholar 

  6. Giral, M. et al. Kidney and recipient weight incompatibility reduces long-term graft survival. J. Am. Soc. Nephrol. 21, 1022–1029 (2010).

    Article  Google Scholar 

  7. Halloran, P. F. et al. An integrated view of molecular changes, histopathology and outcomes in kidney transplants. Am. J. Transplant. 10, 2223–2230 (2010).

    Article  CAS  Google Scholar 

  8. Braun, W. E. & Yadlapalli, N. G. The spectrum of long-term renal transplantation: outcomes, complications, and clinical studies. Transplant. Rev. 16, 22–50 (2002).

    Google Scholar 

  9. Schold, J. D. & Howard, R. J. Prediction models assessing transplant center performance: can a little knowledge be a dangerous thing? Am. J. Transplant. 6, 245–246 (2006).

    Article  CAS  Google Scholar 

  10. Briganti, E. M., Russ, G. R., McNeil, J. J., Atkins, R. C. & Chadban, S. J. Risk of renal allograft loss from recurrent glomerulonephritis. N. Engl. J. Med. 347, 103–109 (2002).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, 9500 Euclid Avenue, Q7, Cleveland, 44195, OH, USA

    William E. Braun

  2. Department of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Avenue, Q7, Cleveland, 44195, OH, USA

    Jesse D. Schold

Authors
  1. William E. Braun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jesse D. Schold
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to William E. Braun.

Ethics declarations

Competing interests

W. E. Braun has worked as a consultant for and received grant/research support from Wyeth/Pfizer. J. D. Schold declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Braun, W., Schold, J. Strength in numbers—predicting long-term transplant outcomes. Nat Rev Nephrol 7, 135–136 (2011). https://doi.org/10.1038/nrneph.2011.10

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrneph.2011.10

This article is cited by

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing