Evidence map›Paper›PMID 35223900›Full record

ArticleFrontiers in medicine2022

Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients.

Simon Krenn, Michael Schmiedecker, Daniel Schneditz, Sebastian Hödlmoser, Christopher C Mayer, Siegfried Wassertheurer, Haris Omic, Eva Schernhammer, Peter Wabel, Manfred Hecking

Abstract read
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Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Simon KrennDivision of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Michael SchmiedeckerDivision of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Daniel SchneditzDivision of Physiology, Otto Loewi Research Center, Medical University of Graz, Graz, Austria.
Sebastian HödlmoserDivision of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Christopher C MayerAIT Austrian Institute of Technology, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria.
Siegfried WassertheurerAIT Austrian Institute of Technology, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria.
Haris OmicDivision of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Eva SchernhammerDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Peter WabelIndependent Researcher, Rosbach, Germany.
Manfred HeckingDivision of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbsolute blood volume (ABV) is a critical component of fluid status, which may inform target weight prescriptions and hemodynamic vulnerability of dialysis patients. Here, we utilized the changes in relative blood volume (RBV), monitored by ultrasound (BVM) upon intradialytic 240 mL dialysate fluid bolus-infusion 1 h after hemodialysis start, to calculate the session-specific ABV. With the main goal of assessing clinical feasibility, our sub-aims were to (i) standardize the BVM-data read-out; (ii) determine optimal time-points for ABV-calculation, "before-" and "after-bolus"; (iii) assess ABV-variation.

methodsWe used high-level programming language and basic descriptive statistics in a retrospective study of routinely measured BVM-data from 274 hemodialysis sessions in 98 patients.

resultsRegarding (i) and (ii), we automatized the processing of RBV-data, and determined an algorithm to select the adequate RBV-data points for ABV-calculations. Regarding (iii), we found in 144 BVM-curves from 75 patients, that the average ABV ± standard deviation was 5.2 ± 1.5 L and that among those 51 patients who still had ≥2 valid estimates, the average intra-patient standard deviation in ABV was 0.8 L. Twenty-seven of these patients had an average intra-patient standard deviation in ABV <0.5 L.

conclusionsWe demonstrate feasibility of ABV-calculation by an automated algorithm after dialysate bolus-administration, based on the BVM-curve. Based on our results from this simple "abridged" calculation approach with routine clinical measurements, we encourage the use of multi-compartment modeling and comparison with reference methods of ABV-determination. Hopes are high that clinicians will be able to use ABV to inform target weight prescription, improving hemodynamic stability.

Indexed as

blood volumechronicchronic kidney diseasefluid statushemodialysisrenal dialysisrenal insufficiency

Identifiers

PMID35223900
PMCPMC8866453

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