title: Measurement of renal function in a kidney donor: a comparison of creatinine-based and volume-based GFRs.
abstract: OBJECTIVE
  We aimed to evaluate the performance of various GFR estimates compared with direct measurement of GFR (dGFR). We also sought to create a new formula for volume-based GFR (new-vGFR) using kidney volume determined by CT.
  
  
  METHODS
  GFR was measured using creatinine-based methods (MDRD, the Cockcroft-Gault equation, CKD-EPI formula, and the Mayo clinic formula) and the Herts method, which is volume-based (vGFR). We compared performance between GFR estimates and created a new vGFR model by multiple linear regression analysis.
  
  
  RESULTS
  Among the creatinine-based GFR estimates, the MDRD and C-G equations were similarly associated with dGFR (correlation and concordance coefficients of 0.359 and 0.369 and 0.354 and 0.318, respectively). We developed the following new kidney volume-based GFR formula: 217.48-0.39XA + 0.25XW-0.46XH-54.01XsCr + 0.02XV-19.89 (if female) (A = age, W = weight, H = height, sCr = serum creatinine level, V = total kidney volume). The MDRD and CKD-EPI had relatively better accuracy than the other creatinine-based methods (30.7% vs. 32.3% within 10% and 78.0% vs. 73.0% within 30%, respectively). However, the new-vGFR formula had the most accurate results among all of the analyzed methods (37.4% within 10% and 84.6% within 30%).
  
  
  CONCLUSIONS
  The new-vGFR can replace dGFR or creatinine-based GFR for assessing kidney function in donors and healthy individuals.
  
  
  CONCLUSIONS
  • Accurate prediction of GFR is crucial in kidney donors. • DTPA is accurate but costly, invasive, and clinically difficult to apply. • Volume-based GFR estimation performs as well as the Cr-based method. • New volume-based GFR estimation performs better among GFR estimation formulas.
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: Don Kyoung
authors.initials: DK
authors.lastname: Choi
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: See Min
authors.initials: SM
authors.lastname: Choi
authors.affiliation: Department of Urology, Incheon St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
authors.forename: Bong Hee
authors.initials: BH
authors.lastname: Park
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: Byong Chang
authors.initials: BC
authors.lastname: Jeong
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: Seong Il
authors.initials: SI
authors.lastname: Seo
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: Seong Soo
authors.initials: SS
authors.lastname: Jeon
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: Hyun Moo
authors.initials: HM
authors.lastname: Lee
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea.
authors.forename: Han-Yong
authors.initials: HY
authors.lastname: Choi
authors.affiliation: Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Korea. hwanggyun.jeon@samsung.com.
authors.forename: Hwang Gyun
authors.initials: HG
authors.lastname: Jeon
mesh_terms: D000328:Adult; D000367:Age Factors; D000465:Algorithms; D000792:Angiography / Q000379:methods; D001827:Body Height; D001835:Body Weight; D003287:Contrast Media; D003404:Creatinine / Q000097:blood; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D007668:Kidney / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D016030:Kidney Transplantation; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods; D009929:Organ Size; D012189:Retrospective Studies; D012737:Sex Factors; D014019:Tissue Donors
chemical_list: D003287:Contrast Media; D003404:Creatinine
keywords: Glomerular filtration rate; Kidney function test; Living donor; Multidetector computed tomography; Technetium Tc 99 m Pentetate