On Blood Viscosity and Its Correlation with Biological Parameters

  • Patrizia Vizza
  • Giuseppe Tradigo
  • Marianna Parrilla
  • Pietro Hiram Guzzi
  • Agostino Gnasso
  • Pierangelo Veltri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10861)

Abstract

In recent years interest in blood viscosity has increased significantly in different biomedical areas. Blood viscosity, a measure of the resistance of blood flow, related to its thickness and stickiness, is one of the main biophysical properties of blood. Many factors affect blood viscosity, both in physiological and in pathological conditions.

The aim of this study is to estimate blood viscosity by using the regression equation of viscosity which is based on hematocrit and total plasma proteins. It can be used to perform several observations regards the main factors which can influence blood viscosity. The main contribution regards the correlation between viscosity values and other important biological parameters such as cholesterol. This correlation has been supported by performing statistical tests and it suggest that the viscosity could be the main risk factor in cardiovascular diseases. Moreover, it is the only biological measure being correlated with the other cardiovascular risk factors. Results obtained are compliant with values obtained by using the standard viscosity measurement through a viscometer.

Keywords

Blood viscosity Regression equation Cardiovascular disease 

Notes

Acknowledgments

This contribution has been funded by grant POR FESR/FSE Regione Calabria for SISTABENE and PIHGIS projects.

References

  1. 1.
    Rogers, K.: Blood: Physiology and Circulation (The Human Body). The Rosen Publishing Group, New York (2010)Google Scholar
  2. 2.
    Goslinga, H.: Blood Viscosity and Shock: The Role of Hemodilution, Hemoconcentration and Defibrination. Springer, Heidelberg (1984).  https://doi.org/10.1007/978-3-642-69260-4CrossRefGoogle Scholar
  3. 3.
    Chien, S.: Determinants of blood viscosity and red cell deformability. Scand. J. Clin. Lab. Invest. 41(1981), 712 (2009)Google Scholar
  4. 4.
    Chen, G., Zhao, L., Liu, Y., Liao, F., Han, D., Zhou, H.: Regulation of blood viscosity in disease prevention and treatment. Chin. Sci. Bull. 57(16), 1946–1952 (2012)CrossRefGoogle Scholar
  5. 5.
    Mazza, A., Fruci, B., Guzzi, P., D’Orrico, B., Malaguarnera, R., Veltri, P., Fava, A., Belfiore, A.: In PCOS patients the addition of low-dose spironolactone induces a more marked reduction of clinical and biochemical hyperandrogenism than metformin alone. Nutr. Metab. Cardiovasc. Dis. 24(2), 132–139 (2014)CrossRefGoogle Scholar
  6. 6.
    Palopoli, L., Rombo, S.E., Terracina, G., Tradigo, G., Veltri, P.: Improving protein secondary structure predictions by prediction fusion. Inf. Fus. 10(3), 217–232 (2009)CrossRefGoogle Scholar
  7. 7.
    Vizza, P., Curcio, A., Tradigo, G., Indolfi, C., Veltri, P.: A framework for the atrial fibrillation prediction in electrophysiological studies. Comput. Methods Program. Biomed. 120(2), 65–76 (2015)CrossRefGoogle Scholar
  8. 8.
    Sloop, G.D.: Blood Viscosity: Its Role in Cardiovascular Pathophysiology and Hematology. Nova Science Publishers, Inc., Hauppauge (2017)Google Scholar
  9. 9.
    De Napoli, I.E., Zanetti, E.M., Fragomeni, G., Audenino, A.L., Catapano, G.: Transport modeling of convection-enhanced hollow fiber membrane bioreactors for therapeutic applications. J. Membr. Sci. 471, 347–361 (2014)CrossRefGoogle Scholar
  10. 10.
    Caruso, M.V., Gramigna, V., Renzulli, A., Fragomeni, G.: Computational analysis of aortic hemodynamics during total and partial extra-corporeal membrane oxygenation and intra-aortic balloon pump support. Acta Bioeng. Biomech. 18(3), 3–9 (2016)Google Scholar
  11. 11.
    Schramm, G.A.: A Practical Approach to Rheology and Rheometry, 2nd edn. Thermo Haake Rheology, Karlsruhe (1994)Google Scholar
  12. 12.
    Kim, B.J., Lee, S.Y., Jee, S., Atajanov, A., Yang, S.: Micro-viscometer for measuring shear-varying blood viscosity over a wide-ranging shear rate. Sensors (Basel.) 17(6), E1442 (2017)CrossRefGoogle Scholar
  13. 13.
    Stoeff, S., Jovtchev, S., Trifonova, N.: Whole blood viscosity assessment in arterial hypertension: a mathematical approach. Measurements 6(9), 10 (2012)Google Scholar
  14. 14.
    Sahin, B., Yigitarslan, S.: The equation for prediction of blood viscosity from biochemical laboratory data. In: AIP Conference Proceedings, vol. 1653, no. 1 (2015)Google Scholar
  15. 15.
    Ruef, P., Gehm, J., Gehm, L., Felbinger, C., Pöschl, J., Kuss, N.: Determination of whole blood and plasma viscosity by means of flow curve analysis. Gen. Physiol. Biophys. 33(3), 285–293 (2014)CrossRefGoogle Scholar
  16. 16.
    Çinar, Y., Şenyol, A.M., Duman, K.: Blood viscosity and blood pressure: role of temperature and hyperglycemia. Am. J. Hypertens. 14(5), 433–438 (2001)CrossRefGoogle Scholar
  17. 17.
    Pop, G.A., Chang, Z.Y., Slager, C.J., Kooij, B.J., van Deel, E.D., Moraru, L., Quak, J., Meijer, G.C., Duncker, D.J.: Catheter-based impedance measurements in the right atrium for continuously monitoring hematocrit and estimating blood viscosity changes; an in vivo feasibility study in swine. Biosens. Bioelectron. 19(12), 1685–1693 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Patrizia Vizza
    • 1
  • Giuseppe Tradigo
    • 2
  • Marianna Parrilla
    • 1
  • Pietro Hiram Guzzi
    • 1
  • Agostino Gnasso
    • 1
  • Pierangelo Veltri
    • 1
  1. 1.Magna Graecia UniversityCatanzaroItaly
  2. 2.University of CalabriaRendeItaly

Personalised recommendations