ArticleIEEE transactions on bio-medical engineering2019
Individualization of Ultrafiltration in Hemodialysis.
Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Prevalence and associated factors of intradialytic hypotension among patients with kidney failure on maintenance hemodialysis at Kiruddu National Referral Hospital, Uganda.BMC nephrology · 2025Article
- Relationship between serum PTH, potassium (K+), calcium (Ca2+), blood phosphate (PO4), parathyroid hormone (PTH), albumin (ALB) levels and orthostatic hypotension in hemodialysis patients.Journal of medical biochemistry · 2025Article
- Magnitude and precision of absolute blood volume estimated during hemodialysis.Renal failure · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
objectivesThere 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.
methodsThe 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.
resultsWe 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.
conclusionTheoretical 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.
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