Literature DB >> 29018100

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

Kelvin C W Leung1, Robert R Quinn2,3, Pietro Ravani2,3, Henry Duff2,4, Jennifer M MacRae2,4.   

Abstract

BACKGROUND AND OBJECTIVES: Intradialytic hypotension (IDH) is associated with morbidity. The effect of blood volume-guided ultrafiltration biofeedback, which automatically adjusts fluid removal rate on the basis of blood volume parameters, on the reduction of IDH was tested in a randomized crossover trial. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We performed a 22-week, single blind, randomized crossover trial in patients receiving maintenance hemodialysis who had >30% of sessions complicated by symptomatic IDH in five centers in Calgary, Alberta, Canada. Participants underwent a 4-week run-in period to standardize dialysis prescription and dry weight on the basis of clinical examination. Those meeting inclusion criteria were randomized to best clinical practice hemodialysis (control) or best clinical practice plus blood volume-guided ultrafiltration biofeedback (intervention) for 8 weeks, followed by a 2-week washout and subsequent crossover for a second 8-week phase. The primary outcome was rate of symptomatic IDH.
RESULTS: Thirty-five participants entered, 32 were randomized, and 26 completed the study. The rate of symptomatic IDH with biofeedback was 0.10/h (95% confidence interval, 0.06 to 0.14) and 0.07/h (95% confidence interval, 0.05 to 0.10) during control (P=0.29). There were no differences in the rate or proportion of sessions with asymptomatic IDH or symptoms alone. Results remained consistent when adjusted for randomization order and study week. There were no differences between intervention and control in the last study week in interdialytic weight gain (difference [SD], -0.02 [0.8] kg), brain natriuretic peptide (1460 [19,052] ng/L), cardiac troponins (3 [86] ng/L), extracellular water-to-intracellular water ratio (0.05 [0.33]), ultrafiltration rate (1.1 [7.0] ml/kg per hour), and dialysis recovery time (0.43 [19.25] hours).
CONCLUSION: The use of blood volume monitoring-guided ultrafiltration biofeedback in patients prone to IDH did not reduce the rate of symptomatic IDH events.
Copyright © 2017 by the American Society of Nephrology.

Entities:  

Keywords:  Alberta; Biofeedback, Psychology; Blood Volume; Canada; Confidence Intervals; Cross-Over Studies; Fluid Therapy; Natriuretic Peptide, Brain; Random Allocation; Single-Blind Method; Troponin; Water; Weight Gain; biofeedback; hemodialysis; hypotension; intradialytic hypotension; randomized controlled trials; renal dialysis; ultrafiltration

Mesh:

Substances:

Year:  2017        PMID: 29018100      PMCID: PMC5672962          DOI: 10.2215/CJN.01030117

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  48 in total

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5.  Hemodialysis prescription education decreases intradialytic hypotension.

Authors:  Davina J Tai; Joslyn Conley; Pietro Ravani; Brenda R Hemmelgarn; Jennifer M MacRae
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6.  Evaluation of an ultrasonic blood volume monitor.

Authors:  C Johner; P W Chamney; D Schneditz; M Krämer
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Authors:  James O Burton; Shvan Korsheed; Ben J Grundy; Christopher W McIntyre
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8.  Non-invasive monitoring of blood volume during hemodialysis: its relation with post-dialytic dry weight.

Authors:  J P de Vries; P M Kouw; N J van der Meer; C G Olthof; L P Oe; A J Donker; P M de Vries
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9.  Can extracellular fluid volume expansion in hemodialysis patients be safely reduced using the hemocontrol biofeedback algorithm? A randomized trial.

Authors:  Gihad E Nesrallah; Rita S Suri; Heather Thiessen-Philbrook; Paul Heidenheim; Robert M Lindsay
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4.  Renal Association Clinical Practice Guideline on Haemodialysis.

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5.  Associations between Hemodialysis Facility Practices to Manage Fluid Volume and Intradialytic Hypotension and Patient Outcomes.

Authors:  Indranil Dasgupta; G Neil Thomas; Joanne Clarke; Alice Sitch; James Martin; Brian Bieber; Manfred Hecking; Angelo Karaboyas; Ronald Pisoni; Friedrich Port; Bruce Robinson; Hugh Rayner
Journal:  Clin J Am Soc Nephrol       Date:  2019-02-05       Impact factor: 8.237

6.  Refilling and preload dependence failed to predict cardiac index decrease during fluid removal with continuous renal replacement therapy.

Authors:  Matthias Jacquet-Lagrèze; Martin Ruste; William Fornier; Pierre-Louis Jacquemet; Remi Schweizer; Jean-Luc Fellahi
Journal:  J Nephrol       Date:  2022-09-19       Impact factor: 4.393

Review 7.  Artificial Intelligence for the Artificial Kidney: Pointers to the Future of a Personalized Hemodialysis Therapy.

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Journal:  Kidney Dis (Basel)       Date:  2018-01-25

8.  Assessing accuracy of estimated dry weight in dialysis patients post transplantation: the kidney knows best.

Authors:  Michael J Germain; Barbara A Greco; Spencer Hodgins; Bikash Chapagain; Ravi Thadhani; David Wojciechowski; Kerry Crisalli; Brian H Nathanson; Yossi Chait
Journal:  J Nephrol       Date:  2021-05-24       Impact factor: 3.902

9.  The time of onset of intradialytic hypotension during a hemodialysis session associates with clinical parameters and mortality.

Authors:  David F Keane; Jochen G Raimann; Hanjie Zhang; Joanna Willetts; Stephan Thijssen; Peter Kotanko
Journal:  Kidney Int       Date:  2021-02-17       Impact factor: 10.612

10.  Effect of ultrafiltration profiling on outcomes among maintenance hemodialysis patients: a pilot randomized crossover trial.

Authors:  Jennifer E Flythe; Matthew J Tugman; Julia H Narendra; Magdalene M Assimon; Quefeng Li; Yueting Wang; Steven M Brunelli; Alan L Hinderliter
Journal:  J Nephrol       Date:  2020-09-25       Impact factor: 3.902

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