Literature DB >> 10936803

Sodium modeling.

H Mann1, S Stiller.   

Abstract

The most serious side effects induced by hemodialysis therapy are caused by changes in sodium concentration and subsequent water shift between the intracellular and extracellular fluid compartment. Because of inadequate precision of proportioning, a certain sodium concentration and considerable error in the measurement of sodium concentration in dialysis fluid and plasma water, an error of up to 10 g in the diffusive exchange of sodium chloride remains in most dialysis sessions. Common side effects occur within this sodium balance error. Sodium modeling is a simplified mathematical method to describe quantitatively the fluid exchange in the body caused by changes in extracellular sodium concentration. It is based on fundamental physiologic properties of sodium and its permeability through the corresponding membranes. It also explains the different working mechanisms of sodium- and urea-related changes in osmolarity. Sodium modeling is a helpful tool for the illustration of the effects of changes in sodium concentration and ultrafiltration rate on sodium balance during one dialysis session. Sodium profiling is a method employed to avoid unwanted side effects of hemodialysis therapy by deliberately changing the sodium concentration in dialysis fluid during the course of a dialysis session. Clinical reports on practicing sodium profiling are unsatisfactory, involving only short trial periods in most cases. Most of the studies reported positive sodium balance with temporary decreases in intradialytic hypotension and less blood volume reduction, but with increases in thirst and body weight. To date, no validated studies with suitable control of sodium balance have been published that clearly demonstrate the long-term benefits of this mode of therapy compared with the use of constant dialysate sodium concentrations.

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Year:  2000        PMID: 10936803

Source DB:  PubMed          Journal:  Kidney Int Suppl        ISSN: 0098-6577            Impact factor:   10.545


  7 in total

1.  Sodium modeling attenuates rises in whole-blood viscosity during chronic hemodialysis in children with large inter-dialytic weight gain.

Authors:  Sahar A Fathallah-Shaykh; Ellen R Brooks; Craig B Langman; Kenneth R Kensey
Journal:  Pediatr Nephrol       Date:  2006-05-24       Impact factor: 3.714

2.  Pediatric intradialytic hypotension: recommendations from the Pediatric Continuous Renal Replacement Therapy (PCRRT) Workgroup.

Authors:  Rupesh Raina; Stephanie Lam; Hershita Raheja; Vinod Krishnappa; Daljit Hothi; Andrew Davenport; Deepa Chand; Gaurav Kapur; Franz Schaefer; Sidharth Kumar Sethi; Mignon McCulloch; Arvind Bagga; Timothy Bunchman; Bradley A Warady
Journal:  Pediatr Nephrol       Date:  2019-02-08       Impact factor: 3.714

3.  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

4.  Automated individualization of dialysate sodium concentration reduces intradialytic plasma sodium changes in hemodialysis.

Authors:  Michaela Ságová; Ralf Wojke; Andreas Maierhofer; Malte Gross; Bernard Canaud; Adelheid Gauly
Journal:  Artif Organs       Date:  2019-04-29       Impact factor: 3.094

5.  General anesthesia soon after dialysis may increase postoperative hypotension - A pilot study.

Authors:  J Deng; J Lenart; R L Applegate
Journal:  Heart Lung Vessel       Date:  2014

6.  Model of fluid and solute shifts during hemodialysis with active transport of sodium and potassium.

Authors:  Mauro Pietribiasi; Jacek Waniewski; Alicja Wójcik-Załuska; Wojciech Załuska; Bengt Lindholm
Journal:  PLoS One       Date:  2018-12-28       Impact factor: 3.240

7.  Dextrose solution for priming and rinsing the extracorporeal circuit in hemodialysis patients: A prospective pilot study.

Authors:  Paul A Rootjes; Erik Lars Penne; Georges Ouellet; Yanna Dou; Stephan Thijssen; Peter Kotanko; Jochen G Raimann
Journal:  Int J Artif Organs       Date:  2021-05-31       Impact factor: 1.595

  7 in total

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