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Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients
BACKGROUND: Absolute 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 dial...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866453/ https://www.ncbi.nlm.nih.gov/pubmed/35223900 http://dx.doi.org/10.3389/fmed.2022.801089 |
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author | Krenn, Simon Schmiedecker, Michael Schneditz, Daniel Hödlmoser, Sebastian Mayer, Christopher C. Wassertheurer, Siegfried Omic, Haris Schernhammer, Eva Wabel, Peter Hecking, Manfred |
author_facet | Krenn, Simon Schmiedecker, Michael Schneditz, Daniel Hödlmoser, Sebastian Mayer, Christopher C. Wassertheurer, Siegfried Omic, Haris Schernhammer, Eva Wabel, Peter Hecking, Manfred |
author_sort | Krenn, Simon |
collection | PubMed |
description | BACKGROUND: Absolute 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. METHODS: We 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. RESULTS: Regarding (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. CONCLUSIONS: We 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. |
format | Online Article Text |
id | pubmed-8866453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88664532022-02-25 Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients Krenn, Simon Schmiedecker, Michael Schneditz, Daniel Hödlmoser, Sebastian Mayer, Christopher C. Wassertheurer, Siegfried Omic, Haris Schernhammer, Eva Wabel, Peter Hecking, Manfred Front Med (Lausanne) Medicine BACKGROUND: Absolute 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. METHODS: We 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. RESULTS: Regarding (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. CONCLUSIONS: We 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. Frontiers Media S.A. 2022-02-10 /pmc/articles/PMC8866453/ /pubmed/35223900 http://dx.doi.org/10.3389/fmed.2022.801089 Text en Copyright © 2022 Krenn, Schmiedecker, Schneditz, Hödlmoser, Mayer, Wassertheurer, Omic, Schernhammer, Wabel and Hecking. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Krenn, Simon Schmiedecker, Michael Schneditz, Daniel Hödlmoser, Sebastian Mayer, Christopher C. Wassertheurer, Siegfried Omic, Haris Schernhammer, Eva Wabel, Peter Hecking, Manfred Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients |
title | Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients |
title_full | Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients |
title_fullStr | Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients |
title_full_unstemmed | Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients |
title_short | Feasibility of Dialysate Bolus-Based Absolute Blood Volume Estimation in Maintenance Hemodialysis Patients |
title_sort | feasibility of dialysate bolus-based absolute blood volume estimation in maintenance hemodialysis patients |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866453/ https://www.ncbi.nlm.nih.gov/pubmed/35223900 http://dx.doi.org/10.3389/fmed.2022.801089 |
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