Literature DB >> 8225649

A model for non-invasive estimation of in vivo dialyzer performances and patient's conductivity during hemodialysis.

T Petitclerc1, N Goux, A L Reynier, B Béné.   

Abstract

On-line monitoring of hemodialysis sessions requires a non-invasive estimation of the parameters concerning the patient's status and the dialyzer performances. We describe here a model based on a new method for non-invasive dialysance and patient conductivity measurements. In this technique the same probe measures alternately the conductivity at the dialysate inlet and outlet for two different dialysate conductivity values. From these data, an appropriate model allows to determine the patient's conductivity as well as the effective dialysance of ionised solutes, that is to say the dialysance corrected for recirculation. A strong correlation is evidenced between the effective dialysance measured by this method and the urea clearance measured by conventional methods (r = 0.98 for in vitro solutions; r = 0.82 in vivo situations).

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Year:  1993        PMID: 8225649

Source DB:  PubMed          Journal:  Int J Artif Organs        ISSN: 0391-3988            Impact factor:   1.595


  11 in total

1.  On-line monitoring of solutes in dialysate using wavelength-dependent absorption of ultraviolet radiation.

Authors:  I Fridolin; L G Lindberg
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

Review 2.  Therapeutic hypernatremia management during continuous renal replacement therapy with elevated intracranial pressures and respiratory failure.

Authors:  Tibor Fülöp; Lajos Zsom; Rafael D Rodríguez; Jorge O Chabrier-Rosello; Mehrdad Hamrahian; Christian A Koch
Journal:  Rev Endocr Metab Disord       Date:  2019-03       Impact factor: 6.514

3.  The measurement of hemodialysis access blood flow by a conductivity step method.

Authors:  Robert M Lindsay; Shih-Han S Huang; Jan Sternby; Thomas Hertz
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-08       Impact factor: 8.237

4.  What volume to choose to assess online Kt/V?

Authors:  Francesco Gaetano Casino; Elena Mancini; Giovanni Santarsia; Salvatore Domenico Mostacci; Filomena D'Elia; Maria Di Carlo; Francesco Iannuzzella; Luigi Rossi; Luigi Vernaglione; Daniela Grimaldi; Renato Rapanà; Carlo Basile
Journal:  J Nephrol       Date:  2019-08-07       Impact factor: 3.902

5.  Efficacy of dialysis in peritoneal dialysis: utility of bioimpedance to calculate Kt/V and the search for a target Kt.

Authors:  G Martínez Fernández; A Ortega Cerrato; J Masiá Mondéjar; A Pérez Rodríguez; F Llamas Fuentes; C Gómez Roldán; Juan Pérez-Martínez
Journal:  Clin Exp Nephrol       Date:  2012-08-11       Impact factor: 2.801

6.  Evaluation of hemodialysis adequacy using online Kt/V and single-pool variable-volume urea Kt/V.

Authors:  Alicja E Grzegorzewska; Wojciech Banachowicz
Journal:  Int Urol Nephrol       Date:  2008-07-01       Impact factor: 2.370

7.  Measuring plasma conductivity to detect sodium load in hemodialysis patients.

Authors:  Lucile Mercadal; Aude Servais; Marcia Venditto; Nathalie Renault; Corinne Isnard-Bagnis; Gilbert Deray; Thierry Petitclerc
Journal:  Clin J Am Soc Nephrol       Date:  2008-03-27       Impact factor: 8.237

8.  Do only small uremic toxins, chromophores, contribute to the online dialysis dose monitoring by UV absorbance?

Authors:  Jürgen Arund; Risto Tanner; Fredrik Uhlin; Ivo Fridolin
Journal:  Toxins (Basel)       Date:  2012-10-18       Impact factor: 4.546

9.  Sodium concentration measurement during hemodialysis through ion-exchange resin and conductivity measure approach: in vitro experiments.

Authors:  Andrea Tura; Stefano Sbrignadello; Emanuele Mambelli; Paolo Ravazzani; Antonio Santoro; Giovanni Pacini
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

Review 10.  Optimizing haemodialysate composition.

Authors:  Francesco Locatelli; Vincenzo La Milia; Leano Violo; Lucia Del Vecchio; Salvatore Di Filippo
Journal:  Clin Kidney J       Date:  2015-08-08
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