Literature DB >> 19015653

Predicting the ideal serum creatinine level following kidney transplantation.

Greg A Knoll1.   

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.

Entities:  

Year:  2008        PMID: 19015653     DOI: 10.1038/ncpneph1005

Source DB:  PubMed          Journal:  Nat Clin Pract Nephrol        ISSN: 1745-8323


  7 in total

1.  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.

Authors:  C K Oh; B M Lee; H Kim; S I Kim; Y S Kim
Journal:  Transplant Proc       Date:  2008-09       Impact factor: 1.066

2.  Estimated donor glomerular filtration rate is the most important donor characteristic predicting graft function in recipients of kidneys from live donors.

Authors:  Carmel M Hawley; Jamie Kearsley; Scott B Campbell; David W Mudge; Nicole M Isbel; David W Johnson; Kylie May; John Preston; Anthony Griffin; Daryl Wall; John Burke; Steven J McTaggart; Gayle Frohloff; David Nicol
Journal:  Transpl Int       Date:  2007-01       Impact factor: 3.782

3.  Preoperative renal volumes as a predictor of graft function in living donor transplantation.

Authors:  Anjali B Saxena; Stéphan Busque; Philippe Arjane; Bryan D Myers; Jane C Tan
Journal:  Am J Kidney Dis       Date:  2004-11       Impact factor: 8.860

4.  Similar risk profiles for post-transplant renal dysfunction and long-term graft failure: UNOS/OPTN database analysis.

Authors:  Nauman Siddiqi; Maureen A McBride; Sundaram Hariharan
Journal:  Kidney Int       Date:  2004-05       Impact factor: 10.612

5.  Sirolimus is associated with new-onset diabetes in kidney transplant recipients.

Authors:  Olwyn Johnston; Caren L Rose; Angela C Webster; John S Gill
Journal:  J Am Soc Nephrol       Date:  2008-04-02       Impact factor: 10.121

6.  Donor kidney volume and outcomes following live donor kidney transplantation.

Authors:  E D Poggio; S Hila; B Stephany; R Fatica; V Krishnamurthi; C del Bosque; D Goldfarb; B Herts; V W Dennis; P S Heeger; W Braun
Journal:  Am J Transplant       Date:  2006-03       Impact factor: 8.086

7.  Determination of lowest possible creatinine in living-donor kidney renal transplant recipients based on donor kidney function.

Authors:  Rebecca Sberro; Julien Zuber; Marc Froissart; Guillaume Canaud; Dominique Prié; Frank Martinez; Marie-France Mamzer-Bruneel; Dany Anglicheau; Christophe Legendre; Eric Thervet
Journal:  Transplantation       Date:  2008-08-27       Impact factor: 4.939

  7 in total
  2 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

2.  Urinary calprotectin and posttransplant renal allograft injury.

Authors:  Martin Tepel; Christoffer Borst; Claus Bistrup; Niels Marcussen; Nikolaos Pagonas; Felix S Seibert; Robert Arndt; Walter Zidek; Timm H Westhoff
Journal:  PLoS One       Date:  2014-11-17       Impact factor: 3.240

  2 in total

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