Modelling acute renal failure using blood and breath biomarkers in rats

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dc.contributor.authorMoorhead, K.T.
dc.contributor.authorHill, J.
dc.contributor.authorChase, Geoff
dc.contributor.authorHann, C.E.
dc.contributor.authorScotter, J.
dc.contributor.authorStorer, M.K.
dc.contributor.authorEndre, Z.H.
dc.date.accessioned2012-02-29T01:15:50Z
dc.date.available2012-02-29T01:15:50Z
dc.date.issued2011en
dc.descriptionInvited. Available online 21 August 2010en
dc.description.abstractThis 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 (R2 = 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.en
dc.identifier.citationMoorhead, K.T., Hill, J., Chase, J.G., Hann, C.E., Scotter, J., Storer, M.K., Endre, Z.H. (2011) Modelling acute renal failure using blood and breath biomarkers in rats. Computer Methods and Programs in Biomedicine, 101(2), pp. 173-182.en
dc.identifier.doihttps://doi.org/10.1016/j.cmpb.2010.07.010
dc.identifier.issn0169-2607
dc.identifier.urihttp://hdl.handle.net/10092/6338
dc.language.isoen
dc.publisherUniversity of Canterbury. Electrical and Computer Engineeringen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectRenal functionen
dc.subjectBreath biomarkersen
dc.subjectIntegral fitting methoden
dc.subjectModel-based approximationen
dc.subjectTracer kineticsen
dc.subjectDifferential equationsen
dc.subject.anzsrcField of Research::09 - Engineering::0903 - Biomedical Engineeringen
dc.subject.anzsrcField of Research::11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematologyen
dc.titleModelling acute renal failure using blood and breath biomarkers in ratsen
dc.typeJournal Article
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