Literature DB >> 9820442

Blood volume regulation during hemodialysis.

A Santoro1, E Mancini, F Paolini, G Cavicchioli, A Bosetto, P Zucchelli.   

Abstract

Hemodialysis (HD)-induced hypotension may be precipitated by severe hypovolemia. To avoid the appearance of destabilizing hypovolemias, we have developed a biofeedback control system for intradialytic blood volume (BV)-changes modeling. The system, incorporated in a dialysis machine, is based on a multivariable closed-loop control with a dependent output variable, the BV changes, and two independent control variables, the ultrafiltration rate (Qf) and dialysate conductivity (DC). The relative BV changes occurring during HD are measured by an optical device. The Qf and DC are continuously adjusted by the control model during the treatment to minimize any discrepancies between the ideal targets for the BV, the patient's body weight reductions, and the experimentally obtained results. The system manages three kinds of errors: in BV changes, the total weight loss, and the sodium balance. The latter is controlled by a dedicated kinetic model that continuously calculates the equivalent DC and, by the end of the session, tends to make the sodium balance the same as the one obtained in conventional HD with constant DC. This system's capacity to improve intradialytic hemodynamic tolerance has been assessed in a crossover study of eight highly symptomatic patients. Conventional HD (CHD; period A) was compared with blood volume-controlled dialysis sessions (BV-CHD; period B) following a protocol with an A1-B-A2 sequence, with each period lasting 1 month. A lower decrease in BV (-10.6%) was obtained during BV-CHD (period B) compared with CHD (-12.3% in period A1 and -12.5% in period A2). The predialysis to postdialysis systolic arterial pressure changes were lower in period B (-12.4%) than in period A (-20% in A1 and -17.5% in A2; P < 0.05) despite similar total Qf and mean treatment times. A significant reduction in the number of severe hypotensive episodes (three in period B v 26 in period A1 and 16 in period A2; P < 0.05) and the overall incidence of complaints, especially of muscular cramps, was found in BV-CHD. These results were reflected in a reduced need for therapeutically administered isotonic saline in each session (60 mL in B v160 mL in A1 and 95 mL in A2; P < 0.05). In conclusion, the proposed biofeedback system for intradialytic BV control may be useful to avoid severe hypovolemic states, to stabilize BV by modeling its trend, and to avoid reaching individual critical BV thresholds in hypotension-prone patients.

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Year:  1998        PMID: 9820442     DOI: 10.1016/s0272-6386(98)70128-3

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  10 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

2.  Model predictive control of relative blood volume and heart rate during hemodialysis.

Authors:  Faizan Javed; Andrey V Savkin; Gregory S H Chan; Paul M Middleton; Philip Malouf; Elizabeth Steel; James Mackie; Teddy M Cheng
Journal:  Med Biol Eng Comput       Date:  2010-02-11       Impact factor: 2.602

3.  Major Outcomes With Personalized Dialysate TEMPerature (MyTEMP): Rationale and Design of a Pragmatic, Registry-Based, Cluster Randomized Controlled Trial.

Authors:  Ahmed A Al-Jaishi; Christopher W McIntyre; Jessica M Sontrop; Stephanie N Dixon; Sierra Anderson; Amit Bagga; Derek Benjamin; David Berry; Peter G Blake; Laura Chambers; Patricia C K Chan; Nicole Delbrouck; P J Devereaux; Luis F Ferreira-Divino; Richard Goluch; Laura Gregor; Jeremy M Grimshaw; Garth Hanson; Eduard Iliescu; Arsh K Jain; Charmaine E Lok; Reem A Mustafa; Bharat Nathoo; Gihad E Nesrallah; Matthew J Oliver; Sanjay Pandeya; Malvinder S Parmar; David Perkins; Justin Presseau; Eli Rabin; Joanna Sasal; Tanya Shulman; Manish M Sood; Andrew Steele; Paul Tam; Daniel Tascona; Davinder Wadehra; Ron Wald; Michael Walsh; Paul Watson; Walter Wodchis; Phillip Zager; Merrick Zwarenstein; Amit X Garg
Journal:  Can J Kidney Health Dis       Date:  2020-02-05

4.  Effect of plasma sodium concentration on blood pressure regulators during hemodialysis: a randomized crossover study.

Authors:  Esmée M Ettema; Johanna Kuipers; Martijn van Faassen; Henk Groen; Arie M van Roon; Joop D Lefrandt; Ralf Westerhuis; Ido P Kema; Harry van Goor; Ron T Gansevoort; Carlo A J M Gaillard; Casper F M Franssen
Journal:  BMC Nephrol       Date:  2018-08-22       Impact factor: 2.388

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.  The renal replacement therapy landscape in 2030: reducing the global cardiovascular burden in dialysis patients.

Authors:  Bernard Canaud; Allan Collins; Frank Maddux
Journal:  Nephrol Dial Transplant       Date:  2020-03-01       Impact factor: 5.992

7.  OCT angiography metrics predict intradialytic hypotension episodes in chronic hemodialysis patients: a pilot, prospective study.

Authors:  Giuseppe Coppolino; Adriano Carnevali; Valentina Gatti; Caterina Battaglia; Giorgio Randazzo; Irma Figlia; Gemma Patella; Giorgio Fuiano; Michele Andreucci; Giuseppe Giannaccare; Vincenzo Scorcia; Davide Bolignano
Journal:  Sci Rep       Date:  2021-03-30       Impact factor: 4.379

Review 8.  The pathophysiology of leg cramping during dialysis and the use of carnitine in its treatment.

Authors:  Akira Takahashi
Journal:  Physiol Rep       Date:  2021-11

Review 9.  Hidden risks associated with conventional short intermittent hemodialysis: A call for action to mitigate cardiovascular risk and morbidity.

Authors:  Bernard Canaud; Jeroen P Kooman; Nicholas M Selby; Maarten Taal; Andreas Maierhofer; Pascal Kopperschmidt; Susan Francis; Allan Collins; Peter Kotanko
Journal:  World J Nephrol       Date:  2022-03-25

10.  Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.

Authors:  Sheetal Chaudhuri; Hao Han; Caitlin Monaghan; John Larkin; Peter Waguespack; Brian Shulman; Zuwen Kuang; Srikanth Bellamkonda; Jane Brzozowski; Jeffrey Hymes; Mike Black; Peter Kotanko; Jeroen P Kooman; Franklin W Maddux; Len Usvyat
Journal:  BMC Nephrol       Date:  2021-08-09       Impact factor: 2.388

  10 in total

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