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Modelling acute renal failure using blood and breath biomarkers in rats

Authors :
Jennifer M. Scotter
Malina K. Storer
Zoltan H. Endre
J. Geoffrey Chase
Katherine T. Moorhead
Christopher E. Hann
Jonathan V. Hill
Source :
Computer Methods and Programs in Biomedicine. 101:173-182
Publication Year :
2011
Publisher :
Elsevier BV, 2011.

Abstract

This paper compares three methods for estimating renal function, as tested in rats. Acute renal failure (ARF) was induced via a 60-min bilateral renal artery clamp in 8 Sprague-Dawley rats and renal function was monitored for 1 week post-surgery. A two-compartment model was developed for estimating glomerular filtration via a bolus injection of a radio-labelled inulin tracer, and was compared with an estimated creatinine clearance method, modified using the Cockcroft-Gault equation for rats. These two methods were compared with selected ion flow tube-mass spectrometry (SIFT-MS) monitoring of breath analytes. Determination of renal function via SIFT-MS is desirable since results are available non-invasively and in real time. Relative decreases in renal function show very good correlation between all 3 methods (R^2=0.84, 0.91 and 0.72 for breath-inulin, inulin-creatinine, and breath-creatinine correlations, respectively), and indicate good promise for fast, non-invasive determination of renal function via breath testing.

Details

ISSN :
01692607
Volume :
101
Database :
OpenAIRE
Journal :
Computer Methods and Programs in Biomedicine
Accession number :
edsair.doi.dedup.....19999b947b92eb9f6df4936a865ca9cb