Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index

Autor: Benjamin Huang, Weiting Huang, John Carson Allen, Lijuan Sun, Hui Jen Goh, Siew Ching Kong, Dewaine Lee, Cherlyn Ding, Nabil Bosco, Leonie Egli, Lucas Actis-Goretta, Faidon Magkos, Fabrizio Arigoni, Melvin Khee-Shing Leow, Swee Yaw Tan, Khung Keong Yeo
Přispěvatelé: Lee Kong Chian School of Medicine (LKCMedicine), Duke-NUS Medical School, Singapore Institute for Clinical Sciences, Tan Tock Seng Hospital
Rok vydání: 2022
Předmět:
Zdroj: Huang, B, Huang, W, Allen, J C, Sun, L, Goh, H J, Kong, S C, Lee, D, Ding, C, Bosco, N, Egli, L, Actis-Goretta, L, Magkos, F, Arigoni, F, Leow, M K S, Tan, S Y & Yeo, K K 2022, ' Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index ', Frontiers in Nutrition, vol. 9, 979208 . https://doi.org/10.3389/fnut.2022.979208
ISSN: 2296-861X
Popis: Background: Subclinical atherosclerosis can be present in individuals with an optimal cardiovascular risk factor profile. Traditional risk scores such as the Framingham risk score do not adequately capture risk stratification in low-risk individuals. The aim of this study was to determine if markers of metabolic syndrome and insulin resistance can better stratify low-risk individuals. Methods: A cross-sectional study of 101 healthy participants with a low Framingham risk score and no prior morbidities was performed to assess prevalence of subclinical atherosclerosis using computed tomography (CT) and ultrasound. Participants were compared between groups based on Metabolic Syndrome (MetS) and Insulin-Sensitivity Index (ISI-cal) scores. Results: Twenty three individuals (23%) had subclinical atherosclerosis with elevated CT Agatston score ≥1. Presence of both insulin resistance (ISI-cal
Databáze: OpenAIRE