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

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Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index. / Huang, Benjamin; Huang, Weiting; Allen, John Carson; Sun, Lijuan; Goh, Hui Jen; Kong, Siew Ching; Lee, Dewaine; Ding, Cherlyn; Bosco, Nabil; Egli, Leonie; Actis-Goretta, Lucas; Magkos, Faidon; Arigoni, Fabrizio; Leow, Melvin Khee Shing; Tan, Swee Yaw; Yeo, Khung Keong.

I: Frontiers in Nutrition, Bind 9, 979208, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Huang, B, Huang, W, Allen, JC, Sun, L, Goh, HJ, Kong, SC, Lee, D, Ding, C, Bosco, N, Egli, L, Actis-Goretta, L, Magkos, F, Arigoni, F, Leow, MKS, Tan, SY & Yeo, KK 2022, 'Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index', Frontiers in Nutrition, bind 9, 979208. https://doi.org/10.3389/fnut.2022.979208

APA

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, 9, [979208]. https://doi.org/10.3389/fnut.2022.979208

Vancouver

Huang B, Huang W, Allen JC, Sun L, Goh HJ, Kong SC o.a. Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index. Frontiers in Nutrition. 2022;9. 979208. https://doi.org/10.3389/fnut.2022.979208

Author

Huang, Benjamin ; Huang, Weiting ; Allen, John Carson ; Sun, Lijuan ; Goh, Hui Jen ; Kong, Siew Ching ; Lee, Dewaine ; Ding, Cherlyn ; Bosco, Nabil ; Egli, Leonie ; Actis-Goretta, Lucas ; Magkos, Faidon ; Arigoni, Fabrizio ; Leow, Melvin Khee Shing ; Tan, Swee Yaw ; Yeo, Khung Keong. / Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index. I: Frontiers in Nutrition. 2022 ; Bind 9.

Bibtex

@article{1e1a5b42cf1943068ddf149e40950791,
title = "Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index",
abstract = "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 <9.23) and fulfillment of at least one metabolic syndrome criterion denoted high risk, resulting in significantly improved AUC (0.706 95%CI 0.588–0.822) over the Framingham risk score in predicting elevated CT Agatston score ≥1, with net reclassification index of 50.9 ± 23.7%. High-risk patients by the new classification also exhibited significantly increased carotid intima thickness. Conclusions: The overlap of insulin resistance and presence of ≥1 criterion for metabolic syndrome may play an instrumental role in identifying traditionally low-risk individuals predisposed to future risk of atherosclerosis and its sequelae.",
keywords = "Computed tomography, Framingham risk, Insulin sensitivity, Metabolic syndrome and Type II diabetes, Subclinical atherosclerosis",
author = "Benjamin Huang and Weiting Huang and Allen, {John Carson} and Lijuan Sun and Goh, {Hui Jen} and Kong, {Siew Ching} and Dewaine Lee and Cherlyn Ding and Nabil Bosco and Leonie Egli and Lucas Actis-Goretta and Faidon Magkos and Fabrizio Arigoni and Leow, {Melvin Khee Shing} and Tan, {Swee Yaw} and Yeo, {Khung Keong}",
note = "Publisher Copyright: Copyright {\textcopyright} 2022 Huang, Huang, Allen, Sun, Goh, Kong, Lee, Ding, Bosco, Egli, Actis-Goretta, Magkos, Arigoni, Leow, Tan and Yeo.",
year = "2022",
doi = "10.3389/fnut.2022.979208",
language = "English",
volume = "9",
journal = "Frontiers in Nutrition",
issn = "2296-861X",
publisher = "Frontiers",

}

RIS

TY - JOUR

T1 - Prediction of subclinical atherosclerosis in low Framingham risk score individuals by using the metabolic syndrome criteria and insulin sensitivity index

AU - Huang, Benjamin

AU - Huang, Weiting

AU - Allen, John Carson

AU - Sun, Lijuan

AU - Goh, Hui Jen

AU - Kong, Siew Ching

AU - Lee, Dewaine

AU - Ding, Cherlyn

AU - Bosco, Nabil

AU - Egli, Leonie

AU - Actis-Goretta, Lucas

AU - Magkos, Faidon

AU - Arigoni, Fabrizio

AU - Leow, Melvin Khee Shing

AU - Tan, Swee Yaw

AU - Yeo, Khung Keong

N1 - Publisher Copyright: Copyright © 2022 Huang, Huang, Allen, Sun, Goh, Kong, Lee, Ding, Bosco, Egli, Actis-Goretta, Magkos, Arigoni, Leow, Tan and Yeo.

PY - 2022

Y1 - 2022

N2 - 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 <9.23) and fulfillment of at least one metabolic syndrome criterion denoted high risk, resulting in significantly improved AUC (0.706 95%CI 0.588–0.822) over the Framingham risk score in predicting elevated CT Agatston score ≥1, with net reclassification index of 50.9 ± 23.7%. High-risk patients by the new classification also exhibited significantly increased carotid intima thickness. Conclusions: The overlap of insulin resistance and presence of ≥1 criterion for metabolic syndrome may play an instrumental role in identifying traditionally low-risk individuals predisposed to future risk of atherosclerosis and its sequelae.

AB - 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 <9.23) and fulfillment of at least one metabolic syndrome criterion denoted high risk, resulting in significantly improved AUC (0.706 95%CI 0.588–0.822) over the Framingham risk score in predicting elevated CT Agatston score ≥1, with net reclassification index of 50.9 ± 23.7%. High-risk patients by the new classification also exhibited significantly increased carotid intima thickness. Conclusions: The overlap of insulin resistance and presence of ≥1 criterion for metabolic syndrome may play an instrumental role in identifying traditionally low-risk individuals predisposed to future risk of atherosclerosis and its sequelae.

KW - Computed tomography

KW - Framingham risk

KW - Insulin sensitivity

KW - Metabolic syndrome and Type II diabetes

KW - Subclinical atherosclerosis

U2 - 10.3389/fnut.2022.979208

DO - 10.3389/fnut.2022.979208

M3 - Journal article

C2 - 36352897

AN - SCOPUS:85141405798

VL - 9

JO - Frontiers in Nutrition

JF - Frontiers in Nutrition

SN - 2296-861X

M1 - 979208

ER -

ID: 326458479