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Published on: October 2, 2020
Heart blood volume by dilution in patients on hemodialysis
Alan Dobson1, Viktor V Kislukhin
1Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853-6401, USA.
Insights
Researchers developed a novel method to measure heart blood volume in hemodialysis patients using cardiac output data. This technique identified cardiomegaly in 4 of 60 patients, aiding in understanding heart complications.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Cardiomegaly and related issues increase illness and death rates in hemodialysis patients.
- Current methods for assessing heart function in these patients have limitations.
Purpose of the Study:
- To develop a non-invasive method for measuring heart blood volume using routine hemodialysis data.
- To correlate heart/lung model parameters with total heart blood volume.
Main Methods:
- A heart model simulating blood transfer between chambers was developed.
- This model was integrated with a lung model to simulate vasomotion.
- The distribution of transit times (dilution curve) was analyzed to predict heart blood volume.
Main Results:
- A specific characteristic of the dilution curve (chord length at half-peak height) effectively predicts end-diastolic ventricular blood volume.
- Application to existing patient data revealed cardiomegaly in 4 out of 60 hemodialysis patients.
Conclusions:
- This novel method offers a robust way to assess heart blood volume in hemodialysis patients.
- The findings highlight the potential for early detection of cardiomegaly in this population.
Abstract:
Cardiomegaly and accompanying complications contribute to morbidity and mortality in patients on hemodialysis. Our objective is to provide a measure of heart blood volume from data collected during routine measurement of cardiac output during hemodialysis. A heart model based upon the probability of transfer between chambers during a cardiac cycle generates both the distribution of transit times (dilution curve) and the blood volumes in the chambers of the heart. This heart model is combined with a compatible lung model based upon a stochastic description of microvascular flow to simulate vasomotion. By exercising the heart/lung model systematically over a wide range of probabilities, any chosen characteristic of the distribution of transit times can be correlated to total heart blood volume for a wide range of heart/lung functional states. For a bolus traversing the heart and lung vascular beds, the length of the chord drawn upon the dilution curve at half the height of the peak is identified as an efficient, robust predictor of the total blood volume in the heart at end ventricular diastole. When applied to data previously collected from patients on hemodialysis, enlarged hearts were observed in 4 of 60 patients.
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