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Appraisal of GFR-estimating equations following kidney donation.

Authors :
Sebasky M
Kukla A
Leister E
Guo H
Akkina SK
El-Shahawy Y
Matas AJ
Ibrahim HN
Sebasky, Meghan
Kukla, Aleksandra
Leister, Erin
Guo, Hongfei
Akkina, Sanjeev K
El-Shahawy, Yasser
Matas, Arthur J
Ibrahim, Hassan N
Source :
American Journal of Kidney Diseases; Jun2009, Vol. 53 Issue 6, p1050-1058, 9p
Publication Year :
2009

Abstract

<bold>Background: </bold>It is not clear which serum creatinine-based glomerular filtration rate (GFR)-estimating model performs best in kidney donors.<bold>Study Design: </bold>Study of diagnostic accuracy.<bold>Setting& Participants: </bold>From a population of 3,698 kidney donors, 255 donors underwent iohexol GFR measurement (mGFR). INDEX TEST (INTERVENTION): mGFR by means of plasma disappearance of iohexol.<bold>Reference Test or Outcome: </bold>GFR was estimated (eGFR) by using the Cockcroft-Gault equation (eGFR(CG)), Mayo Clinic equation (eGFR(MC)), and Modification of Diet in Renal Disease (MDRD) Study equation (eGFR(MDRD)).<bold>Results: </bold>Mean mGFR was 71.8 +/- 11.8 mL/min/1.73 m(2), and 85.5% had mGFR greater than 60 mL/min/1.73 m(2). eGFR(CG) underestimated mGFR by 3.96 +/- 13.3 mL/min/1.73 m(2) and was within 30% of mGFR 89.4% of the time. eGFR(MC) overestimated mGFR by 8.44 +/- 11.9 mL/min/1.73 m(2) and was within 30% of mGFR in 83.1% of cases. eGFR(MDRD) underestimated mGFR by only 0.43 +/- 11.7 mL/min/1.73 m(2), and the proportion within 30% of mGFR was greatest in the tested model; 94.1% of the time. However, eGFR(MC) was most accurate in classifying donors according to having eGFR less than 60 mL/min/1.73 m(2).<bold>Limitations: </bold>Lack of ethnic diversity and response bias.<bold>Conclusions: </bold>The MDRD Study equation is least biased, and because it is routinely reported by most laboratories, it is the best readily available model for estimating GFR in kidney donors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02726386
Volume :
53
Issue :
6
Database :
Supplemental Index
Journal :
American Journal of Kidney Diseases
Publication Type :
Academic Journal
Accession number :
105538468
Full Text :
https://doi.org/10.1053/j.ajkd.2009.01.264