Literature DB >> 23089327

On-line blood viscosity monitoring in vivo with a central venous catheter, using electrical impedance technique.

Gheorghe A M Pop1, Laurens L A Bisschops, Blagoy Iliev, Pieter C Struijk, Johannes G van der Hoeven, Cornelia W E Hoedemaekers.   

Abstract

Blood viscosity is an important determinant of microvascular hemodynamics and also reflects systemic inflammation. Viscosity of blood strongly depends on the shear rate and can be characterized by a two parameter power-law model. Other major determinants of blood viscosity are hematocrit, level of inflammatory proteins and temperature. In-vitro studies have shown that these major parameters are related to the electrical impedance of blood. A special central venous catheter was developed to measure electrical impedance of blood in-vivo in the right atrium. Considering that blood viscosity plays an important role in cerebral blood flow, we investigated the feasibility to monitor blood viscosity by electrical bioimpedance in 10 patients during the first 3 days after successful resuscitation from a cardiac arrest. The blood viscosity-shear rate relationship was obtained from arterial blood samples analyzed using a standard viscosity meter. Non-linear regression analysis resulted in the following equation to estimate in-vivo blood viscosity (Viscosity(imp)) from plasma resistance (R(p)), intracellular resistance (R(i)) and blood temperature (T) as obtained from right atrium impedance measurements: Viscosity(imp)=(-15.574+15.576R(p)T)SR ((-.138RpT-.290Ri)). This model explains 89.2% (R(2)=.892) of the blood viscosity-shear rate relationship. The explained variance was similar for the non-linear regression model estimating blood viscosity from its major determinants hematocrit and the level of fibrinogen and C-reactive protein (R(2)=.884). Bland-Altman analysis showed a bias between the in-vitro viscosity measurement and the in-vivo impedance model of .04 mPa s at a shear rate of 5.5s(-1) with limits of agreement between -1.69 mPa s and 1.78 mPa s. In conclusion, this study demonstrates the proof of principle to monitor blood viscosity continuously in the human right atrium by a dedicated central venous catheter equipped with an impedance measuring device. No safety problems occurred and there was good agreement with in-vitro measurements of blood viscosity.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23089327     DOI: 10.1016/j.bios.2012.09.033

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  18 in total

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Authors:  Yang Jun Kang; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2013-10-29       Impact factor: 2.800

2.  Changes in velocity profile according to blood viscosity in a microchannel.

Authors:  Eunseop Yeom; Yang Jun Kang; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2014-06-09       Impact factor: 2.800

3.  Microfluidic-based measurement of erythrocyte sedimentation rate for biophysical assessment of blood in an in vivo malaria-infected mouse.

Authors:  Yang Jun Kang; Young-Ran Ha; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2014-08-05       Impact factor: 2.800

4.  Label-free viscosity measurement of complex fluids using reversal flow switching manipulation in a microfluidic channel.

Authors:  Yang Jun Kang; Jeongeun Ryu; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2013-07-26       Impact factor: 2.800

5.  A microfluidic device for simultaneous measurement of viscosity and flow rate of blood in a complex fluidic network.

Authors:  Yang Jun Kang; Eunseop Yeom; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2013-10-01       Impact factor: 2.800

6.  Periodic and simultaneous quantification of blood viscosity and red blood cell aggregation using a microfluidic platform under in-vitro closed-loop circulation.

Authors:  Yang Jun Kang
Journal:  Biomicrofluidics       Date:  2018-04-09       Impact factor: 2.800

7.  A portable rotating disc as blood rheometer.

Authors:  Rahul Agarwal; Arnab Sarkar; Subhechchha Paul; Suman Chakraborty
Journal:  Biomicrofluidics       Date:  2019-12-02       Impact factor: 2.800

Review 8.  Point-of-care (POC) devices by means of advanced MEMS.

Authors:  Stanislav L Karsten; Mehmet C Tarhan; Lili C Kudo; Dominique Collard; Hiroyuki Fujita
Journal:  Talanta       Date:  2015-04-23       Impact factor: 6.057

9.  An instantaneous low-cost point-of-care anemia detection device.

Authors:  Jaime Punter-Villagrasa; Joan Cid; Cristina Páez-Avilés; Ivón Rodríguez-Villarreal; Esteve Juanola-Feliu; Jordi Colomer-Farrarons; Pere Ll Miribel-Català
Journal:  Sensors (Basel)       Date:  2015-02-16       Impact factor: 3.576

10.  Robust Method for Mid-Activity Tracking and Evaluation of Ankle Health Post-Injury.

Authors:  Samer Mabrouk; Daniel Whittingslow; Omer T Inan
Journal:  IEEE Trans Biomed Eng       Date:  2021-03-18       Impact factor: 4.538

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