Literature DB >> 34784606

Soft Target Weight: Theory and Simulation of a Novel Haemodialysis Protocol Which Reduces Excessive Ultrafiltration.

Damien Ashby1, Richard Corbett1, Neill Duncan1.   

Abstract

INTRODUCTION: Excessive ultrafiltration is associated with intra-dialytic symptoms, loss of residual function, and mortality in haemodialysis patients. A major contributor to excessive ultrafiltration is within-individual variation in pre-dialysis weight and the concept of achieving a fixed target weight by the end of each dialysis session. Haemodialysis protocols which allow variable post-dialysis weight have not been proposed.
METHODS: Weight variation was observed in haemodialysis patients and healthy controls to estimate the proportion of pre-dialysis weight variation which could be considered natural variation. These estimates were used to derive a novel protocol for setting ultrafiltration, which was evaluated by mathematical modelling.
RESULTS: Amongst 20 haemodialysis patients, mean (SD) pre-dialysis weight was 102.74 (0.94)% of target weight after a 2-day gap and 103.50 (0.94)% after a 3-day gap. Amongst 10 healthy individuals, mean (SD) daily weight was 100.0 (0.71)% of average weight. A 4-component model of pre-dialysis weight was derived using these estimates, in which the best estimate of pre-dialysis excess fluid is the midpoint of excess weight and average fluid gain, and used to propose a novel protocol for ultrafiltration setting. In simulations, the novel protocol reduced ultrafiltration variation by more than half (standard deviation 0.6 vs. 1.3% of target weight, p < 0.001), without increasing the variation in post-dialysis fluid excess. Excessive ultrafiltration rates (over 13 mL/h/kg) were far less frequent using this protocol (2.6% vs. 7.5% of sessions, p = 0.001).
CONCLUSION: Considering natural weight variation allows the development of a novel protocol for ultrafiltration in which target weight does not have to be achieved precisely: it is therefore a soft target. This protocol, which is predicted to substantially reduce excessive ultrafiltration variation, is a zero-cost intervention with the potential to improve symptoms and clinical outcome for haemodialysis patients.
© 2021 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Dialytic symptoms; Dry weight; Haemodialysis; Intra-dialytic hypotension; Ultrafiltration

Mesh:

Year:  2021        PMID: 34784606      PMCID: PMC8985015          DOI: 10.1159/000519823

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  16 in total

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Authors:  Jennifer E Flythe; Stephen E Kimmel; Steven M Brunelli
Journal:  Kidney Int       Date:  2010-10-06       Impact factor: 10.612

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Authors:  Samuel N Cheuvront; Robert Carter; Scott J Montain; Michael N Sawka
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Journal:  Obesity (Silver Spring)       Date:  2008-06-12       Impact factor: 5.002

4.  Diuretics, Limited Ultrafiltration, and Residual Renal Function in Incident Hemodialysis Patients: A Case Series.

Authors:  Jessica Sjolund; Desiree Garcia Anton; Liz Y Bayes; Tiny Hoekstra; Friedo W Dekker; Jair Munoz Mendoza
Journal:  Semin Dial       Date:  2016-05-06       Impact factor: 3.455

5.  Randomized trial of bioelectrical impedance analysis versus clinical criteria for guiding ultrafiltration in hemodialysis patients: effects on blood pressure, hydration status, and arterial stiffness.

Authors:  Mihai Onofriescu; Nicoleta Genoveva Mardare; Liviu Segall; Luminiţa Voroneanu; Claudiu Cuşai; Simona Hogaş; Serban Ardeleanu; Ionuţ Nistor; Octavian Viorel Prisadă; Radu Sascău; Adrian Covic
Journal:  Int Urol Nephrol       Date:  2011-06-19       Impact factor: 2.370

6.  Impact of sodium and ultrafiltration profiling on haemodialysis-related hypotension.

Authors:  Yi Lun Zhou; Hui Lan Liu; Xiao Feng Duan; Ying Yao; Yi Sun; Qun Liu
Journal:  Nephrol Dial Transplant       Date:  2006-09-05       Impact factor: 5.992

7.  Intradialytic hypotension: frequency, sources of variation and correlation with clinical outcome.

Authors:  Jeffrey J Sands; Len A Usvyat; Terry Sullivan; Jonathan H Segal; Paul Zabetakis; Peter Kotanko; Franklin W Maddux; Jose A Diaz-Buxo
Journal:  Hemodial Int       Date:  2014-01-27       Impact factor: 1.812

8.  High Ultrafiltration Rates Increase Troponin Levels in Stable Hemodialysis Patients.

Authors:  Thomas A Mavrakanas; Allan D Sniderman; Paul E Barré; Murray Vasilevsky; Ahsan Alam
Journal:  Am J Nephrol       Date:  2016-04-12       Impact factor: 3.754

9.  Strategies to improve dietary, fluid, dialysis or medication adherence in patients with end stage kidney disease on dialysis: A systematic review and meta-analysis of randomized intervention trials.

Authors:  Karumathil M Murali; Judy Mullan; Steven Roodenrys; Hicham C Hassan; Kelly Lambert; Maureen Lonergan
Journal:  PLoS One       Date:  2019-01-29       Impact factor: 3.240

10.  Ultrafiltration-profiled hemodialysis to reduce dialysis-related cardiovascular stress: Study protocol for a randomized controlled trial.

Authors:  Matthew J Tugman; Julia H Narendra; Quefeng Li; Yueting Wang; Alan L Hinderliter; Steven M Brunelli; Jennifer E Flythe
Journal:  Contemp Clin Trials Commun       Date:  2019-07-19
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