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Plasma Levels of Middle Molecules to Estimate Residual Kidney Function in Haemodialysis without Urine Collection
Authors
A Bokenkamp
A Grubb
+46 more
A Mulay
AC Fry
Adie Viljoen
AO Grubb
Arani Uthayakumar
Ashwini Machado
B Canaud
B Hofmann
Capella Boltiador
D Shemin
Daniel Schneditz
E Coll
E Ok
E Vilar
E Vilar
E Vilar
E Vinge
Enric Vilar
F Maduell
FA Gotch
FJ Hoek
G Amici
GS Merz
H Finney
J Ghiso
JA Diaz-Buxo
JE Tattersall
JH Ix
JK Leypoldt
JL Carter
JM Bargman
Jonathan Wong
JT Daugirdas
KD Kjaergaard
Ken Farrington
LA Stevens
O Marsenic
P Sjostrom
PR Greipp
R Lopez-Menchero
RA Odell
RA Ward
T Gerhardt
TA Depner
W Lornoy
XQ Xu
Publication date
2 December 2015
Publisher
'Public Library of Science (PLoS)'
Doi
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on
PubMed
Abstract
© 2015 Vilar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.BACKGROUND: Residual Kidney Function (RKF) is associated with survival benefits in haemodialysis (HD) but is difficult to measure without urine collection. Middle molecules such as Cystatin C and β2-microglobulin accumulate in renal disease and plasma levels have been used to estimate kidney function early in this condition. We investigated their use to estimate RKF in patients on HD. DESIGN: Cystatin C, β2-microglobulin, urea and creatinine levels were studied in patients on incremental high-flux HD or hemodiafiltration(HDF). Over sequential HD sessions, blood was sampled pre- and post-session 1 and pre-session 2, for estimation of these parameters. Urine was collected during the whole interdialytic interval, for estimation of residual GFR (GFRResidual = mean of urea and creatinine clearance). The relationships of plasma Cystatin C and β2-microglobulin levels to GFRResidual and urea clearance were determined. RESULTS: Of the 341 patients studied, 64% had urine output>100 ml/day, 32.6% were on high-flux HD and 67.4% on HDF. Parameters most closely correlated with GFRResidual were 1/β2-micoglobulin (r2 0.67) and 1/Cystatin C (r2 0.50). Both these relationships were weaker at low GFRResidual. The best regression model for GFRResidual, explaining 67% of the variation, was: GFRResidual = 160.3 · (1/β2m) - 4.2. Where β2m is the pre-dialysis β2 microglobulin concentration (mg/L). This model was validated in a separate cohort of 50 patients using Bland-Altman analysis. Areas under the curve in Receiver Operating Characteristic analysis aimed at identifying subjects with urea clearance≥2 ml/min/1.73 m2 was 0.91 for β2-microglobulin and 0.86 for Cystatin C. A plasma β2-microglobulin cut-off of ≤19.2 mg/L allowed identification of patients with urea clearance ≥2 ml/min/1.73 m2 with 90% specificity and 65% sensitivity. CONCLUSION: Plasma pre-dialysis β2-microglobulin levels can provide estimates of RKF which may have clinical utility and appear superior to cystatin C. Use of cut-off levels to identify patients with RKF may provide a simple way to individualise dialysis dose based on RKF.Peer reviewe
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