Literature DB >> 26643943

A physiologically based model of vascular refilling during ultrafiltration in hemodialysis.

Aurelio A de los Reyes V1, Doris H Fuertinger2, Franz Kappel3, Anna Meyring-Wösten2, Stephan Thijssen2, Peter Kotanko2.   

Abstract

An assessment of fluid status can be obtained by monitoring relative blood volume (RBV) during hemodialysis (HD) treatment. The dynamics of RBV is determined by fluid removal from the intravascular compartment by ultrafiltration (UF) and vascular refill from the interstitium. To characterize this dynamics, a two-compartment model describing the short-term dynamics of vascular refilling and UF is developed. Fluid movement between the compartments is governed by lymphatic and microvascular fluid shifts. Further, protein flux is described by convection, diffusion and the lymphatic protein flux. Patient specific parameters are identified based on hematocrit (Hct) measurements by the Crit-Line monitor (CLM). Different measurement frequencies and UF profiles are compared to determine data fidelity and influence on the quality of parameter estimates. This relevant information can be used to assess the (patho)physiological status of hemodialysis patients and could aid in individualizing therapy.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Blood volume monitoring; Capillary fluid exchange; Filtration coefficient; Mathematical modeling; Microvascular permeability; Parameter estimation

Mesh:

Substances:

Year:  2015        PMID: 26643943     DOI: 10.1016/j.jtbi.2015.11.012

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  7 in total

1.  Individualization of Ultrafiltration in Hemodialysis.

Authors:  Rammah Abohtyra; Yossi Chait; Michael J Germain; Christopher V Hollot; Joseph Horowitz
Journal:  IEEE Trans Biomed Eng       Date:  2018-12-04       Impact factor: 4.538

Review 2.  Current state of the art for renal replacement therapy in critically ill patients with acute kidney injury.

Authors:  Sean M Bagshaw; Michael Darmon; Marlies Ostermann; Fredric O Finkelstein; Ron Wald; Ashita J Tolwani; Stuart L Goldstein; David J Gattas; Shigehiko Uchino; Eric A Hoste; Stephane Gaudry
Journal:  Intensive Care Med       Date:  2017-03-13       Impact factor: 17.440

3.  Modelling Transcapillary Transport of Fluid and Proteins in Hemodialysis Patients.

Authors:  Mauro Pietribiasi; Jacek Waniewski; Alicja Załuska; Wojciech Załuska; Bengt Lindholm
Journal:  PLoS One       Date:  2016-08-02       Impact factor: 3.240

4.  Association between intradialytic central venous oxygen saturation and ultrafiltration volume in chronic hemodialysis patients.

Authors:  Hanjie Zhang; Lili Chan; Anna Meyring-Wösten; Israel Campos; Priscila Preciado; Jeroen P Kooman; Frank M van der Sande; Doris Fuertinger; Stephan Thijssen; Peter Kotanko
Journal:  Nephrol Dial Transplant       Date:  2018-09-01       Impact factor: 5.992

5.  All-cause mortality in relation to changes in relative blood volume during hemodialysis.

Authors:  Priscila Preciado; Hanjie Zhang; Stephan Thijssen; Jeroen P Kooman; Frank M van der Sande; Peter Kotanko
Journal:  Nephrol Dial Transplant       Date:  2019-08-01       Impact factor: 5.992

6.  Vascular refilling coefficient is not a good marker of whole-body capillary hydraulic conductivity in hemodialysis patients: insights from a simulation study.

Authors:  Leszek Pstras; Jacek Waniewski; Bengt Lindholm
Journal:  Sci Rep       Date:  2022-09-10       Impact factor: 4.996

7.  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 in total

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