Hemorheological parameters better classify metabolic syndrome than novel cardiovascular risk factors and peripheral vascular disease marker

Gyawali, Prajwal ORCID: https://orcid.org/0000-0003-0975-5576 and Richards, Ross S. and Tinley, Paul and Nwose, Ezekiel Uba and Bwititi, Phillip T. (2016) Hemorheological parameters better classify metabolic syndrome than novel cardiovascular risk factors and peripheral vascular disease marker. Clinical Hemorheology and Microcirculation, 64 (1). pp. 1-5. ISSN 1386-0291

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Abstract

The present study compares the association of Metabolic Syndrome (MetS) with hemorheological parameters, oxidative stress, inflammation and peripheral arterial disease markers. 100 participants were recruited and participants were divided into three groups on the basis of absence or presence of MetS and its components. Odds ratio for correctly predicting MetS was highest for erythrocyte aggregation followed by erythrocyte deformability. ROC curve analysis demonstrated that all the hemorheological components significantly classified MetS participants. Area Under Curve was higher for the hemorheological parameters (erythrocyte aggregation and erythrocyte deformability) than for the oxidative stress, inflammation and peripheral arterial disease markers. The possibilities of the hemorheological components to be identified as better cardiovascular risk markers due to their strong association with MetS cannot be precluded from the present findings.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 28 Sep 2020 01:58
Last Modified: 30 Sep 2020 05:59
Uncontrolled Keywords: hemorheology; inflammation; oxidative stress; ROC curve
Fields of Research (2008): 11 Medical and Health Sciences > 1102 Cardiovascular Medicine and Haematology > 110299 Cardiovascular Medicine and Haematology not elsewhere classified
11 Medical and Health Sciences > 1102 Cardiovascular Medicine and Haematology > 110201 Cardiology (incl. Cardiovascular Diseases)
Fields of Research (2020): 32 BIOMEDICAL AND CLINICAL SCIENCES > 3201 Cardiovascular medicine and haematology > 320199 Cardiovascular medicine and haematology not elsewhere classified
32 BIOMEDICAL AND CLINICAL SCIENCES > 3201 Cardiovascular medicine and haematology > 320101 Cardiology (incl. cardiovascular diseases)
Identification Number or DOI: https://doi.org/10.3233/CH-152033
URI: http://eprints.usq.edu.au/id/eprint/39667

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