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Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru

BACKGROUND: Cardiovascular disease (CVD) is the most prevalent cause of death from disease and disability in the world. Reliable markers are needed to assess and reduce cardiovascular risk. This study aimed to determine if insulin resistance indexes, triglycerides to HDL-cholesterol ratio (TG/HDL-C)...

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Autores principales: Rojas-Humpire, Ricardo, Olarte-Durand, Mely, Medina-Ramirez, Sebastian, Gutierrez-Ajalcriña, Rosmery, Canaza, Josue F., Huancahuire-Vega, Salomon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016568/
https://www.ncbi.nlm.nih.gov/pubmed/33833874
http://dx.doi.org/10.1155/2021/6633700
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author Rojas-Humpire, Ricardo
Olarte-Durand, Mely
Medina-Ramirez, Sebastian
Gutierrez-Ajalcriña, Rosmery
Canaza, Josue F.
Huancahuire-Vega, Salomon
author_facet Rojas-Humpire, Ricardo
Olarte-Durand, Mely
Medina-Ramirez, Sebastian
Gutierrez-Ajalcriña, Rosmery
Canaza, Josue F.
Huancahuire-Vega, Salomon
author_sort Rojas-Humpire, Ricardo
collection PubMed
description BACKGROUND: Cardiovascular disease (CVD) is the most prevalent cause of death from disease and disability in the world. Reliable markers are needed to assess and reduce cardiovascular risk. This study aimed to determine if insulin resistance indexes, triglycerides to HDL-cholesterol ratio (TG/HDL-C), and triglyceride glucose index (TyG) are biomarkers for lifetime cardiovascular risk (CVR). METHODS: This analytical cross-sectional study was performed on health personnel from Huaycan Hospital in Peru. The QRISK model was used to measure lifetime CVR. The association and diagnostic accuracy for TyG calculated as Ln (TG (mg/dL) × glucose (mg/dL)/2) and TG/HDL-C ratio were determined using Poisson regression models and ROC curves with Youden index. RESULTS: In total, 291 adults (207 women and 84 men) were analyzed. In the adjusted Poisson models, each unit of TG/HDL-C increased 1.22-fold and 1.16-fold the probability of high lifetime CVR in men and women, respectively. However, each unit of TyG increased 1.98-fold in men and 3.25-fold in women the probability of high lifetime CVR. The optimal cutoff values of TG/HDL-C were 2.64 (AUC: 0.77), 3.90 (AUC: 0.80), and 2.64 (AUC: 0.74) for the overall population, men, and women, respectively. Likewise, the optimal cutoff values of TyG were 9.04 (AUC: 0.80), 8.95 (AUC: 0.79), and 9.04 (AUC: 0.80) for the overall population, men, and women, respectively. CONCLUSION: TG/HDL-C and TyG presented a significant association with lifetime CVR. However, TyG presented a stronger association than TG/HDL-C. Both TG/HDL-C and TyG are shown to be reliable markers for CVR in adults.
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spelling pubmed-80165682021-04-07 Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru Rojas-Humpire, Ricardo Olarte-Durand, Mely Medina-Ramirez, Sebastian Gutierrez-Ajalcriña, Rosmery Canaza, Josue F. Huancahuire-Vega, Salomon J Nutr Metab Research Article BACKGROUND: Cardiovascular disease (CVD) is the most prevalent cause of death from disease and disability in the world. Reliable markers are needed to assess and reduce cardiovascular risk. This study aimed to determine if insulin resistance indexes, triglycerides to HDL-cholesterol ratio (TG/HDL-C), and triglyceride glucose index (TyG) are biomarkers for lifetime cardiovascular risk (CVR). METHODS: This analytical cross-sectional study was performed on health personnel from Huaycan Hospital in Peru. The QRISK model was used to measure lifetime CVR. The association and diagnostic accuracy for TyG calculated as Ln (TG (mg/dL) × glucose (mg/dL)/2) and TG/HDL-C ratio were determined using Poisson regression models and ROC curves with Youden index. RESULTS: In total, 291 adults (207 women and 84 men) were analyzed. In the adjusted Poisson models, each unit of TG/HDL-C increased 1.22-fold and 1.16-fold the probability of high lifetime CVR in men and women, respectively. However, each unit of TyG increased 1.98-fold in men and 3.25-fold in women the probability of high lifetime CVR. The optimal cutoff values of TG/HDL-C were 2.64 (AUC: 0.77), 3.90 (AUC: 0.80), and 2.64 (AUC: 0.74) for the overall population, men, and women, respectively. Likewise, the optimal cutoff values of TyG were 9.04 (AUC: 0.80), 8.95 (AUC: 0.79), and 9.04 (AUC: 0.80) for the overall population, men, and women, respectively. CONCLUSION: TG/HDL-C and TyG presented a significant association with lifetime CVR. However, TyG presented a stronger association than TG/HDL-C. Both TG/HDL-C and TyG are shown to be reliable markers for CVR in adults. Hindawi 2021-03-25 /pmc/articles/PMC8016568/ /pubmed/33833874 http://dx.doi.org/10.1155/2021/6633700 Text en Copyright © 2021 Ricardo Rojas-Humpire et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rojas-Humpire, Ricardo
Olarte-Durand, Mely
Medina-Ramirez, Sebastian
Gutierrez-Ajalcriña, Rosmery
Canaza, Josue F.
Huancahuire-Vega, Salomon
Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru
title Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru
title_full Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru
title_fullStr Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru
title_full_unstemmed Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru
title_short Insulin Resistance Indexes as Biomarkers of Lifetime Cardiovascular Risk among Adults from Peru
title_sort insulin resistance indexes as biomarkers of lifetime cardiovascular risk among adults from peru
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016568/
https://www.ncbi.nlm.nih.gov/pubmed/33833874
http://dx.doi.org/10.1155/2021/6633700
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