Literature DB >> 18503132

Plasma viscosity: a forgotten variable.

Gábor Késmárky1, Péter Kenyeres, Miklós Rábai, Kálmán Tóth.   

Abstract

Evaluation of plasma viscosity has been underutilized in the clinical practice. Plasma viscosity is determined by water-content and macromolecular components. Plasma is a highly concentrated protein solution, therefore weak protein-protein interactions can play a role that is not characterized by electrophoresis. The effect of a protein on plasma viscosity depends on its molecular weight and structure. The less spheroid shape, the higher molecular weight, the higher aggregating capacity, and the higher temperature or pH sensitivity a protein has, the higher plasma viscosity results. Plasma is a Newtonian fluid, its viscosity does not depend on flow characteristics, therefore it is simple to measure, especially in capillary viscosimeters. Its normal value is 1.10-1.30 mPa s at 37 degrees C and independent of age and gender. The measurement has high stability and accuracy, thus little alterations may be pathologically important. Inflammations, tissue injuries resulting in plasma protein changes can increase its value with high sensitivity, though low specificity. It can increase in parallel with erythrocyte sedimentation rate (ESR), but it is not influenced by hematocrit (anemia, polycytemia), or time to analysis. Based on these favorable features, in 1942 plasma viscosity was recommended to substitute ESR. In hyperviscosity syndromes plasma viscosity is better in follow-up than ESR. In rheumatoid arthritis, its sensitivity and specificity are better than that of ESR or C-reactive protein. Plasma fibrinogen concentration and plasma viscosity are elevated in unstable angina pectoris and stroke and their higher values are associated with higher rate of major adverse clinical events. Elevation of plasma viscosity correlates to the progression of coronary and peripheral artery diseases. In conclusion, plasma viscosity should be measured routinely in medical practice.

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Year:  2008        PMID: 18503132

Source DB:  PubMed          Journal:  Clin Hemorheol Microcirc        ISSN: 1386-0291            Impact factor:   2.375


  63 in total

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3.  Evaluating platelet aggregation dynamics from laser speckle fluctuations.

Authors:  Zeinab Hajjarian; Diane M Tshikudi; Seemantini K Nadkarni
Journal:  Biomed Opt Express       Date:  2017-06-30       Impact factor: 3.732

4.  Variation in wall shear stress in channel networks of zebrafish models.

Authors:  Woorak Choi; Hye Mi Kim; Sungho Park; Eunseop Yeom; Junsang Doh; Sang Joon Lee
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

5.  Improved model of fluorescence recovery expands the application of multiphoton fluorescence recovery after photobleaching in vivo.

Authors:  Kelley D Sullivan; William H Sipprell; Edward B Brown; Edward B Brown
Journal:  Biophys J       Date:  2009-06-17       Impact factor: 4.033

6.  Simulation of malaria-infected red blood cells in microfluidic channels: Passage and blockage.

Authors:  Tenghu Wu; James J Feng
Journal:  Biomicrofluidics       Date:  2013-08-06       Impact factor: 2.800

7.  Optimal flushing agents for integrated optical and acoustic imaging systems.

Authors:  Jiawen Li; Hataka Minami; Earl Steward; Teng Ma; Dilbahar Mohar; Claire Robertson; Kirk Shung; Qifa Zhou; Pranav Patel; Zhongping Chen
Journal:  J Biomed Opt       Date:  2015-05       Impact factor: 3.170

8.  Extended photoacoustic transport model for characterization of red blood cell morphology in microchannel flow.

Authors:  Nasire Uluc; Mehmet Burcin Unlu; Gultekin Gulsen; Hakan Erkol
Journal:  Biomed Opt Express       Date:  2018-05-23       Impact factor: 3.732

Review 9.  Acute hyperviscosity: syndromes and management.

Authors:  Morie A Gertz
Journal:  Blood       Date:  2018-08-13       Impact factor: 22.113

10.  Scalability Test of Multiscale Fluid-Platelet Model for Three Top Supercomputers.

Authors:  Peng Zhang; Na Zhang; Chao Gao; Li Zhang; Yuxiang Gao; Yuefan Deng; Danny Bluestein
Journal:  Comput Phys Commun       Date:  2016-04-08       Impact factor: 4.390

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