Literature DB >> 30530307

Individualization of Ultrafiltration in Hemodialysis.

Rammah Abohtyra, Yossi Chait, Michael J Germain, Christopher V Hollot, Joseph Horowitz.   

Abstract

OBJECTIVES: There are approximately 660 000 end-stage renal disease patients in the USA, with hemodialysis (HD) the primary form of treatment. High ultrafiltration rates (UFRs) are associated with intradialytic hypotension, a complication associated with adverse clinical outcomes including mortality. Individualized UFR profiles could reduce the incidence of intradialytic hypotension.
METHODS: The patient's fluid dynamics during HD is described by a nonlinear model comprising intravascular and interstitial pools, whose parameters are given by the patient's estimated nominal parameter values with uncertainty ranges; the output measurement is hematocrit. We design UFR profiles that minimize the maximal UFR needed to remove a prescribed volume of fluid within a set time, with hematocrit not exceeding a specified time-varying critical profile.
RESULTS: We present a novel approach to design individualized UFR profiles, and give theoretical results guaranteeing that the system remains within a predefined physiologically plausible region and does not exceed a specified time-invariant critical hematocrit level for all parameters in the uncertainty ranges. We test the performance of our design using a real patient data example. The designed UFR maintains the system below a time-varying critical hematocrit profile in the example.
CONCLUSION: Theoretical results and simulations show that our designed UFR profiles can remove the target amount of fluid in a given time period while keeping the hematocrit below a specified critical profile. SIGNIFICANCE: Individualization of UFR profiles is now feasible using current HD technology and may reduce the incidence of intradialytic hypotension.

Entities:  

Year:  2018        PMID: 30530307      PMCID: PMC6691497          DOI: 10.1109/TBME.2018.2884931

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  23 in total

1.  A blood protein monitor for the continuous measurement of blood volume changes during hemodialysis.

Authors:  D Schneditz; H Pogglitsch; J Horina; U Binswanger
Journal:  Kidney Int       Date:  1990-08       Impact factor: 10.612

2.  Intradialytic blood volume monitoring in ambulatory hemodialysis patients: a randomized trial.

Authors:  Donal N Reddan; Lynda Anne Szczech; Vic Hasselblad; Edmund G Lowrie; Robert M Lindsay; Jonathan Himmelfarb; Robert D Toto; John Stivelman; James F Winchester; Linda A Zillman; Robert M Califf; William F Owen
Journal:  J Am Soc Nephrol       Date:  2005-06-01       Impact factor: 10.121

3.  Fluid balance modelling in patients with kidney failure.

Authors:  P W Chamney; C Johner; C Aldridge; M Krämer; N Valasco; J E Tattersall; T Aukaidey; R Gordon; R N Greenwood
Journal:  J Med Eng Technol       Date:  1999 Mar-Apr

4.  Continuous hematocrit monitoring method in an extracorporeal circulation system and its application for automatic control of blood volume during artificial kidney treatment.

Authors:  T Ishihara; I Igarashi; T Kitano; T Shinzato; K Maeda
Journal:  Artif Organs       Date:  1993-08       Impact factor: 3.094

5.  Hemoscan: a dialysis machine-integrated blood volume monitor.

Authors:  F Paolini; E Mancini; A Bosetto; A Santoro
Journal:  Int J Artif Organs       Date:  1995-09       Impact factor: 1.595

Review 6.  Cardiovascular autonomic dysfunction in uremia.

Authors:  Thompson G Robinson; Susan J Carr
Journal:  Kidney Int       Date:  2002-12       Impact factor: 10.612

7.  Intradialytic hypotension and risk of cardiovascular disease.

Authors:  Bergur V Stefánsson; Steven M Brunelli; Claudia Cabrera; David Rosenbaum; Emmanuel Anum; Karthik Ramakrishnan; Donna E Jensen; Nils-Olov Stålhammar
Journal:  Clin J Am Soc Nephrol       Date:  2014-11-06       Impact factor: 8.237

8.  Identification and control for automated regulation of hemodynamic variables during hemodialysis.

Authors:  Faizan Javed; Andrey V Savkin; Gregory S H Chan; James D Mackie; Nigel H Lovell
Journal:  IEEE Trans Biomed Eng       Date:  2011-02-04       Impact factor: 4.538

9.  Blood volume regulation during hemodialysis.

Authors:  A Santoro; E Mancini; F Paolini; G Cavicchioli; A Bosetto; P Zucchelli
Journal:  Am J Kidney Dis       Date:  1998-11       Impact factor: 8.860

10.  Randomized Crossover Trial of Blood Volume Monitoring-Guided Ultrafiltration Biofeedback to Reduce Intradialytic Hypotensive Episodes with Hemodialysis.

Authors:  Kelvin C W Leung; Robert R Quinn; Pietro Ravani; Henry Duff; Jennifer M MacRae
Journal:  Clin J Am Soc Nephrol       Date:  2017-10-10       Impact factor: 8.237

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