DocumentCode
3342193
Title
Dose of dialysis predicted by continuous measurement of dialysate urea concentration
Author
Cappello, A. ; Tartarini, R. ; Paolini, F. ; Calzavara, P.
Author_Institution
Dipt. di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
Volume
5
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1813
Abstract
On-line estimation of urea kinetic parameters from dialysate urea concentration (DUN) is proposed and applied to dialysis dose prediction during therapy. Continuous measurement of DUN was performed by a post-filter enzymatic sensor (Hospal Dasco Spa) on six patients undergoing standard haemodialysis. In order to allow for early and reliable prediction of the end of dialysis values, a variable-volume double-pool model is used since the classical first order model cannot account for the fast-to-slow dynamics occurring during the first hour. Three parameter combinations are estimated at each time on the basis of the past DUN history: Kd/V0, KdC0 and VR, where Kd, Vo, Co, and VR are the dialyzer clearance, the total urea distribution volume, the initial plasma concentration, and the intra-extracellular volume ratio, respectively. Residuals between model-predicted and measured data have an average root mean square error of about 3% of the DUN excursion and model parameters show realistic values. The final dose of dialysis is predicted by multiplying Kd/Vo for the scheduled duration of the dialysis session. Prediction after 70 min from the beginning of the session differs on the average by less than 5% from the final value thus demonstrating the applicability of the proposed method. Furthermore, knowledge of model parameters allows for early and accurate prediction of the total urea removed
Keywords
biomedical measurement; blood; chemical variables measurement; organic compounds; patient treatment; 1 hr; dialysate urea concentration continuous measurement; dialysis dose prediction; initial plasma concentration; intra-extracellular volume ratio; measured data; model parameters; model-predicted data; post-filter enzymatic sensor; residuals; root mean square error; standard haemodialysis; therapy; total urea distribution volume; variable-volume double-pool model; History; Kinetic theory; Measurement standards; Medical treatment; Parameter estimation; Performance evaluation; Plasma measurements; Predictive models; Root mean square; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.646268
Filename
646268
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