Literature DB >> 9247177

Modeling arterial hypotension during hemodialysis.

M Ursino1, M Innocenti.   

Abstract

A mathematical model of the hemodynamic response to hemodialysis is presented. This model includes the dynamics of sodium, urea, and potassium in the intracellular and extracellular pools; fluid balance equations for the intracellular, interstitial, and plasma volumes; systemic and pulmonary hemodynamics; and the action of several short-term arterial pressure control mechanisms. The control mechanisms are triggered by information coming from both arterial and cardiopulmonary pressoreceptors, and they work on systemic arterial resistance, heart rate, and systemic venous unstressed volume. Moreover, the model hypothesizes that decreasing left atrial pressure below a given threshold causes a paradoxical withdrawal of the sympathetic drive and a consequent vasodepressor syncope. The model is used to simulate the pattern of the main hemodynamic quantities (systemic arterial pressure, heart rate, total systemic resistance, and cardiac output) during hemodialysis in several groups of patients (both hypotension resistant and hypotension prone) whose data were drawn from the clinical literature. The simulation results point out that the model is able to reproduce a variety of different conditions, including no hypotension, moderate hypotension, and severe hypotension with ultimate vasodepressor syncope, by adjusting a few parameters with clear physiological meanings. Hypotension is principally imputed to a loss of the sympathetic mechanisms working on systemic resistance and to an impairment of vascular refilling at the capillary wall. The results suggest that hypotension during hemodialysis is a complex phenomenon that depends on the superimposition of several concomitant factors working together that can lead to a variety of distinct individual patterns.

Entities:  

Mesh:

Year:  1997        PMID: 9247177     DOI: 10.1111/j.1525-1594.1997.tb00247.x

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


  7 in total

1.  An integrative model of the cardiovascular system coupling heart cellular mechanics with arterial network hemodynamics.

Authors:  Young-Tae Kim; Jeong Sang Lee; Chan-Hyun Youn; Jae-Sung Choi; Eun Bo Shim
Journal:  J Korean Med Sci       Date:  2013-07-31       Impact factor: 2.153

2.  Fuzzy logic controller for hemodialysis machine based on human body model.

Authors:  Vahid Reza Nafisi; Manouchehr Eghbal; Mohammad Reza Jahed Motlagh; Fatemeh Yavari
Journal:  J Med Signals Sens       Date:  2011-01

3.  A Lumped-Parameter Subject-Specific Model of Blood Volume Response to Fluid Infusion.

Authors:  Ramin Bighamian; Andrew T Reisner; Jin-Oh Hahn
Journal:  Front Physiol       Date:  2016-08-31       Impact factor: 4.566

4.  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

5.  Mathematical modeling of septic shock based on clinical data.

Authors:  Yukihiro Yamanaka; Kenko Uchida; Momoka Akashi; Yuta Watanabe; Arino Yaguchi; Shuji Shimamoto; Shingo Shimoda; Hitoshi Yamada; Masashi Yamashita; Hidenori Kimura
Journal:  Theor Biol Med Model       Date:  2019-03-06       Impact factor: 2.432

6.  Numerical simulation of the effect of sodium profile on cardiovascular response to hemodialysis.

Authors:  Ki Moo Lim; Sung Wook Choi; Byung Goo Min; Eun Bo Shim
Journal:  Yonsei Med J       Date:  2008-08-30       Impact factor: 2.759

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.