Literature DB >> 19681843

Model-based analysis of potassium removal during hemodialysis.

Andrea Ciandrini1, Stefano Severi, Silvio Cavalcanti, Francesco Fontanazzi, Fabio Grandi, Michele Buemi, Carlo Mura, Pietro Bajardi, Fabio Badiali, Antonio Santoro.   

Abstract

Potassium ion (K(+)) kinetics in intra- and extracellular compartments during dialysis was studied by means of a double-pool computer model, which included potassium-dependent active transport (Na-K-ATPase pump) in 38 patients undergoing chronic hemodialysis. Each patient was treated for 2 weeks with a constant K(+) dialysate concentration (K(+)(CONST) therapy) and afterward for 2 weeks with a time-varying (profiled) K(+) dialysate concentration (K(+)(PROF) therapy). The two therapies induced different levels of K(+) plasma concentration (K(+)(CONST): 3.71 +/- 0.88 mmol/L vs. K(+)(PROF): 3.97 +/- 0.64 mmol/L, time-averaged values, P < 0.01). The computer model was tuned to accurately fit plasmatic K(+) measured in the course and 1 h after K(+)(CONST) and K(+)(PROF) therapies and was then used to simulate the kinetics of intra- and extracellular K(+). Model-based analysis showed that almost all the K(+) removal in the first 90 min of dialysis was derived from the extracellular compartment. The different K(+) time course in the dialysate and the consequently different Na-K pump activity resulted in a different sharing of removed potassium mass at the end of dialysis: 56% +/- 17% from the extracellular compartment in K(+)(PROF) versus 41% +/- 14% in K(+)(CONST). At the end of both therapies, the K(+) distribution was largely unbalanced, and, in the next 3 h, K(+) continued to flow in the extracellular space (about 24 mmol). After rebalancing, about 80% of the K(+) mass that was removed derived from the intracellular compartment. In conclusion, the Na-K pump plays a major role in K(+) apportionment between extracellular and intracellular compartments, and potassium dialysate concentration strongly influences pump activity.

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Year:  2009        PMID: 19681843     DOI: 10.1111/j.1525-1594.2009.00806.x

Source DB:  PubMed          Journal:  Artif Organs        ISSN: 0160-564X            Impact factor:   3.094


  2 in total

1.  Application of dynamic optimisation for planning a haemodialysis process.

Authors:  Wojciech Stecz; Radoslaw Pytlak; Aleksandra Rymarz; Stanislaw Niemczyk
Journal:  BMC Nephrol       Date:  2019-07-02       Impact factor: 2.388

2.  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

  2 in total

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