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Triglyceride glucose index: A new biomarker in predicting cardiovascular risk

INTRODUCTION: Insulin resistance can be assessed by the Triglyceride-Glucose Index (TyG), a simple, low-cost, and easy-to-apply method. OBJECTIVE: To assess the predictive capacity of the TyG index about cardiovascular risk and identify its cutoff point in a population at cardiometabolic risk. METHO...

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Autores principales: Araújo, Susilane Pereira, Juvanhol, Leidjaira Lopes, Bressan, Josefina, Hermsdorff, Helen Hermana Miranda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502283/
https://www.ncbi.nlm.nih.gov/pubmed/36161140
http://dx.doi.org/10.1016/j.pmedr.2022.101941
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author Araújo, Susilane Pereira
Juvanhol, Leidjaira Lopes
Bressan, Josefina
Hermsdorff, Helen Hermana Miranda
author_facet Araújo, Susilane Pereira
Juvanhol, Leidjaira Lopes
Bressan, Josefina
Hermsdorff, Helen Hermana Miranda
author_sort Araújo, Susilane Pereira
collection PubMed
description INTRODUCTION: Insulin resistance can be assessed by the Triglyceride-Glucose Index (TyG), a simple, low-cost, and easy-to-apply method. OBJECTIVE: To assess the predictive capacity of the TyG index about cardiovascular risk and identify its cutoff point in a population at cardiometabolic risk. METHODS: Cross-sectional study with 264 individuals at cardiometabolic risk (54.9% women, age: 43.1 ± 16.3 years). Demographic, anthropometric, clinical-laboratory, and lifestyle data were collected. The TyG index was determined using the formula Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg (dL)/2]. The ten-year cardiovascular risk was assessed by the Framingham risk score (FRS). The receiver operating characteristic curve (ROC) was used to define the cutoff point for the TyG index, and the associations were tested by Poisson regression. RESULTS: ROC curve analysis indicated an area under the curve of 0.678 (95% CI = 0.618–0.734; p < 0.001), with a cutoff of 9.04 (sensitivity = 62.5%, specificity = 66.7%, positive predictive value = 29.4% and negative predictive value = 88.9%). Elevated TyG values ​​(≥9.04) were positively associated with cardiometabolic risk factors (total cholesterol, LDL, VLDL, uric acid, alanine aminotransferase, aspartate aminotransferase, waist-hip ratio, systolic blood pressure, HOMA-IR, smoking, metabolic syndrome, diabetes, and hepatic steatosis). After adjustment for confounding factors, individuals with high TyG showed an increase of 69% (RP = 1.69; 95%CI = 1.03–2.78) in the prevalence of intermediate/high risk by FRS, compared to those with low TyG. CONCLUSION: The TyG index showed a good predictive capacity for cardiovascular risk in ten years assessed by the FRS.
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spelling pubmed-95022832022-09-24 Triglyceride glucose index: A new biomarker in predicting cardiovascular risk Araújo, Susilane Pereira Juvanhol, Leidjaira Lopes Bressan, Josefina Hermsdorff, Helen Hermana Miranda Prev Med Rep Regular Article INTRODUCTION: Insulin resistance can be assessed by the Triglyceride-Glucose Index (TyG), a simple, low-cost, and easy-to-apply method. OBJECTIVE: To assess the predictive capacity of the TyG index about cardiovascular risk and identify its cutoff point in a population at cardiometabolic risk. METHODS: Cross-sectional study with 264 individuals at cardiometabolic risk (54.9% women, age: 43.1 ± 16.3 years). Demographic, anthropometric, clinical-laboratory, and lifestyle data were collected. The TyG index was determined using the formula Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg (dL)/2]. The ten-year cardiovascular risk was assessed by the Framingham risk score (FRS). The receiver operating characteristic curve (ROC) was used to define the cutoff point for the TyG index, and the associations were tested by Poisson regression. RESULTS: ROC curve analysis indicated an area under the curve of 0.678 (95% CI = 0.618–0.734; p < 0.001), with a cutoff of 9.04 (sensitivity = 62.5%, specificity = 66.7%, positive predictive value = 29.4% and negative predictive value = 88.9%). Elevated TyG values ​​(≥9.04) were positively associated with cardiometabolic risk factors (total cholesterol, LDL, VLDL, uric acid, alanine aminotransferase, aspartate aminotransferase, waist-hip ratio, systolic blood pressure, HOMA-IR, smoking, metabolic syndrome, diabetes, and hepatic steatosis). After adjustment for confounding factors, individuals with high TyG showed an increase of 69% (RP = 1.69; 95%CI = 1.03–2.78) in the prevalence of intermediate/high risk by FRS, compared to those with low TyG. CONCLUSION: The TyG index showed a good predictive capacity for cardiovascular risk in ten years assessed by the FRS. 2022-08-24 /pmc/articles/PMC9502283/ /pubmed/36161140 http://dx.doi.org/10.1016/j.pmedr.2022.101941 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Araújo, Susilane Pereira
Juvanhol, Leidjaira Lopes
Bressan, Josefina
Hermsdorff, Helen Hermana Miranda
Triglyceride glucose index: A new biomarker in predicting cardiovascular risk
title Triglyceride glucose index: A new biomarker in predicting cardiovascular risk
title_full Triglyceride glucose index: A new biomarker in predicting cardiovascular risk
title_fullStr Triglyceride glucose index: A new biomarker in predicting cardiovascular risk
title_full_unstemmed Triglyceride glucose index: A new biomarker in predicting cardiovascular risk
title_short Triglyceride glucose index: A new biomarker in predicting cardiovascular risk
title_sort triglyceride glucose index: a new biomarker in predicting cardiovascular risk
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502283/
https://www.ncbi.nlm.nih.gov/pubmed/36161140
http://dx.doi.org/10.1016/j.pmedr.2022.101941
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