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Updated: Mar 25, 2026

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Hemorheological parameters better classify metabolic syndrome than novel cardiovascular risk factors and peripheral
Prajwal Gyawali1, Ross S Richards1, Paul Tinley2
1Biomedical Sciences, School of Community Health, Charles Sturt University, NSW, Australia.
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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