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.

  • Practice Point
  • Published:

Predicting the ideal serum creatinine level following kidney transplantation

Abstract

This Practice Point commentary reviews a study by Sberro et al. that evaluated formulae to predict the lowest measured serum creatinine concentration in kidney transplant recipients following surgery. The objective of the study was to ascertain a simple means of identifying patients with inappropriately high serum creatinine concentrations, who are in need of further investigation. A prediction formula based on the recipient's age and weight and the donor's preoperative estimated creatinine clearance, as calculated from the Cockcroft–Gault equation, showed the strongest correlation, the greatest precision, the lowest positive bias, and the second highest 30% accuracy with the lowest observed serum creatinine concentration in the recipient. This study provides a simple means of predicting the lowest serum creatinine concentration following kidney transplantation. However, the sensitivity, specificity and other diagnostic characteristics of the equation need to be determined in a prospective study before this approach can be recommended in routine clinical practice.

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

Access options

Buy this article

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

References

  1. Hawley CM et al. (2007) Estimated donor glomerular filtration rate is the most important donor characteristic predicting graft function in recipients of kidneys from live donors. Transpl Int 20: 64–72

    Article  PubMed  Google Scholar 

  2. Siddiqi N et al. (2004) Similar risk profiles for post-transplant renal dysfunction and long-term graft failure: UNOS/OPTN database analysis. Kidney Int 65: 1906–1913

    Article  PubMed  Google Scholar 

  3. Sberro R et al. (2008) Determination of lowest possible creatinine in living-donor kidney renal transplant recipients based on donor kidney function. Transplantation 86: 558–563

    Article  CAS  PubMed  Google Scholar 

  4. Johnston O et al. (2008) Sirolimus is associated with new-onset diabetes in kidney transplant recipients. J Am Soc Nephrol 19: 1411–1418

    Article  PubMed  PubMed Central  Google Scholar 

  5. Poggio ED et al. (2006) Donor kidney volume and outcomes following live donor kidney transplantation. Am J Transplant 6: 616–624

    Article  CAS  PubMed  Google Scholar 

  6. Saxena AB et al. (2004) Preoperative renal volumes as a predictor of graft function in living donor transplantation. Am J Kidney Dis 44: 877–885

    Article  PubMed  Google Scholar 

  7. Oh CK et al. (2008) Predicting the ideal serum creatinine of kidney transplant recipients by a simple formula based on the balance between metabolic demands of recipients and renal mass supply from donors. Transplant Proc 40: 2307–2309

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Ethics declarations

Competing interests

The author declares no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Knoll, G. Predicting the ideal serum creatinine level following kidney transplantation. Nat Rev Nephrol 5, 72–73 (2009). https://doi.org/10.1038/ncpneph1005

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ncpneph1005

This article is cited by

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