Magnitude and precision of absolute blood volume estimated during hemodialysis

<b>Background:</b> Management of body fluid volumes and adequate prescription of ultrafiltration (UF) remain key issues in the treatment of chronic kidney disease patients.<b>Objective:</b> This study aims to estimate the magnitude as well as the precision of absolute blood volume (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math>) modeled during regular hemodialysis (HD) using standard data available with modern dialysis machines.<b>Methods:</b> The estimation utilizes a two-compartment fluid model and a mathematical optimization technique to predict UF-induced changes in hematocrit measured by available on-line techniques. The method does not rely on a specific hematocrit sensor or a specific UF or volume infusion protocol and uses modeling and prediction tools to quantify the error in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> estimation.<b>Results:</b> The method was applied to 21 treatments (pre-UF body mass: 65.57<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>13.44 kg, UF-volume: 3.99<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>1.14 L) obtained in ten patients (4 female). Pre-HD <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> was 5.4<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>0.53 L with an average coefficient of variation of 9.8% (range 1 to 22%). A significant moderate correlation was obtained when <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> was compared to a different method applied to the same data set (<i>r</i> = 0.5). Specific blood volumes remained above the critical level of 65 mL/kg in 17 treatments (80.9%).<b>Conclusion:</b> The method offers the opportunity to detect critical blood volumes during HD and to judge the quality and reliability of that information based on the precision of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> estimate.

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Journal
Renal Failure
Published
2024-08-15
DOI
https://doi.org/10.1080/0886022x.2024.2377781
Citations
3
Primary Topic
Hemodynamic Monitoring and Therapy
Type
article
Field-Weighted Citation Impact
1.72

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article

Magnitude and precision of absolute blood volume estimated during hemodialysis

Rammah M. Abohtyra, Tyrone L. Vincent, Daniel Schneditz
3 citations
Renal Failure
Hemodynamic Monitoring and Therapy
1.72
article

Magnitude and precision of absolute blood volume estimated during hemodialysis

Rammah M. Abohtyra, Tyrone L. Vincent, Daniel Schneditz
article en
3 citations

Abstract

<b>Background:</b> Management of body fluid volumes and adequate prescription of ultrafiltration (UF) remain key issues in the treatment of chronic kidney disease patients.<b>Objective:</b> This study aims to estimate the magnitude as well as the precision of absolute blood volume (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math>) modeled during regular hemodialysis (HD) using standard data available with modern dialysis machines.<b>Methods:</b> The estimation utilizes a two-compartment fluid model and a mathematical optimization technique to predict UF-induced changes in hematocrit measured by available on-line techniques. The method does not rely on a specific hematocrit sensor or a specific UF or volume infusion protocol and uses modeling and prediction tools to quantify the error in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> estimation.<b>Results:</b> The method was applied to 21 treatments (pre-UF body mass: 65.57<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>13.44 kg, UF-volume: 3.99<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>1.14 L) obtained in ten patients (4 female). Pre-HD <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> was 5.4<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>±</mml:mo></mml:mrow></mml:math>0.53 L with an average coefficient of variation of 9.8% (range 1 to 22%). A significant moderate correlation was obtained when <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> was compared to a different method applied to the same data set (<i>r</i> = 0.5). Specific blood volumes remained above the critical level of 65 mL/kg in 17 treatments (80.9%).<b>Conclusion:</b> The method offers the opportunity to detect critical blood volumes during HD and to judge the quality and reliability of that information based on the precision of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>V</mml:mi></mml:mrow><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:mrow></mml:math> estimate.

Renal FailureVol. 46(2)
The University of Texas of the Permian Basin (US), Colorado School of Mines (US), Medical University of Graz (AT), Center for Solar Energy Research and Studies (LY)
University of Massachusetts Amherst
Zero hunger
Openalex Percentile: Top 15%
Hemodynamic Monitoring and Therapy
1.72
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