2015•Unpublished venueRequires access

Optimizing Ultrafiltration Rate Profiles for the Estimation of Blood Volume During Hemodialysis

C.V. Hollot, Joseph Horowitz, Rojeet Shrestha, Michael Germain, Yossi Chait

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Abstract

Knowledge of a patient’s blood volume during hemodialysis is important as removing too much or too little fluid or removing it too fast has been associated with increased patient morbidity and mortality. Non-invasive absolute blood volume measurements are currently not available. We show how to estimate initial absolute blood volume from readily available relative blood volume measurements, but, in addition that blood volume estimates under present clinical practice will have high variance. We derive D-optimal ultrafiltration profiles for estimation of an individual’s initial blood volume, and demonstrate their performance by simulation.

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What this paper is about

Knowledge of a patient’s blood volume during hemodialysis is important as removing too much or too little fluid or removing it too fast has been associated with increased patient morbidity and mortality. Non-invasive absolute blood volume measurements are currently not available. We show how to estimate initial absolute blood volume from readily available relative blood volume measurements, but, in addition that blood volume estimates under present clinical practice will have high variance. We derive D-optimal ultrafiltration profiles for estimation of an individual’s initial blood volume, and demonstrate their performance by simulation.

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Available abstract

Knowledge of a patient’s blood volume during hemodialysis is important as removing too much or too little fluid or removing it too fast has been associated with increased patient morbidity and mortality. Non-invasive absolute blood volume measurements are currently not available. We show how to estimate initial absolute blood volume from readily available relative blood volume measurements, but, in addition that blood volume estimates under present clinical practice will have high variance. We derive D-optimal ultrafiltration profiles for estimation of an individual’s initial blood volume, and demonstrate their performance by simulation.

Key concepts: Ultrafiltration (renal), Blood volume, Volume (thermodynamics), Hemodialysis, Variance (accounting), Biomedical engineering, Medicine, Cardiology

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