Literature DB >> 19923801

Measurement error in estimated GFR slopes across transplant chronic kidney disease stages.

Mohammad Akhtar Hossain1, Ahmad Attia, Ahmed Shoker.   

Abstract

BACKGROUND: This study examines if transplant glomerular filtration rate (GFR) slope prediction is affected by the degree of transplant chronic kidney disease (CKDT) stage.
METHODS: Serial changes in estimated GFR (DeltaeGFR) by Cockcroft-Gault (CG) and Modified Diet in Renal Disease-Isotope Dilution Mass Spectrometry (MDRD-IDMS) equations were compared to simultaneous changes in isotope GFR (DeltaiGFR) in renal transplant patients who had at least four scans.
RESULTS: Total number of patients (iGFR scans) was 99 (772) while the corresponding numbers in CKDT stages 1-4 were 33 (103), 69 (239), 75 (316) and 37 (96), respectively. Measurement error [(DeltaeGFR - DeltaiGFR) x 100/DeltaiGFR] (median +/- IQR, interquartile range) estimated from CG and MDRD-IDMS slopes were -414.29 +/- 276.16% and -342.86 +/- 210.18% (stage 1); -350.00 +/- 301.22% and -300.00 +/- 525.00% (stage 2); -26.02 +/- 404.38% and -26.58 +/- 423.13% (stage 3); 10.26 +/- 142.18% and -76.92 +/- 145.64% (stage 4), respectively. The proportion of patients with CG measurement error < or =1-fold in stages 1 and 2 of 12 and 14.5% was significantly (p < 0.05) lower than that of 36.3 and 52.8% at stages 3 and 4, respectively. Similar measurement errors were observed for MDRD-IDMS.
CONCLUSIONS: Transplant GFR slope prediction is affected by the degree of renal dysfunction. Errors in slope prediction are much higher in those with better function and thus add another limitation for eGFR use in longitudinal studies on progressive graft dysfunction. Copyright (c) 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 19923801     DOI: 10.1159/000259902

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  1 in total

1.  Body Composition Analysis Allows the Prediction of Urinary Creatinine Excretion and of Renal Function in Chronic Kidney Disease Patients.

Authors:  Carlo Donadio
Journal:  Nutrients       Date:  2017-05-28       Impact factor: 5.717

  1 in total

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