Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved]
Background: Insulin resistance (IR) evaluation is a fundamental goal in clinical and epidemiological research. However, the most widely used methods are difficult to apply to populations with low incomes. The triglyceride-glucose index (TGI) emerges as an alternative to use in daily clinical practic...
Main Authors: | , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2018-01-01
|
Series: | F1000Research |
Subjects: | |
Online Access: | https://f1000research.com/articles/6-1337/v3 |
_version_ | 1818281842410782720 |
---|---|
author | Juan Salazar Valmore Bermúdez María Calvo Luis Carlos Olivar Eliana Luzardo Carla Navarro Heysa Mencia María Martínez José Rivas-Ríos Sandra Wilches-Durán Marcos Cerda Modesto Graterol Rosemily Graterol Carlos Garicano Juan Hernández Joselyn Rojas |
author_facet | Juan Salazar Valmore Bermúdez María Calvo Luis Carlos Olivar Eliana Luzardo Carla Navarro Heysa Mencia María Martínez José Rivas-Ríos Sandra Wilches-Durán Marcos Cerda Modesto Graterol Rosemily Graterol Carlos Garicano Juan Hernández Joselyn Rojas |
author_sort | Juan Salazar |
collection | DOAJ |
description | Background: Insulin resistance (IR) evaluation is a fundamental goal in clinical and epidemiological research. However, the most widely used methods are difficult to apply to populations with low incomes. The triglyceride-glucose index (TGI) emerges as an alternative to use in daily clinical practice. Therefore the objective of this study was to determine an optimal cutoff point for the TGI in an adult population from Maracaibo, Venezuela. Methods: This is a sub-study of Maracaibo City Metabolic Syndrome Prevalence Study, a descriptive, cross-sectional study with random and multi-stage sampling. For this analysis, 2004 individuals of both genders ≥18 years old with basal insulin determination and triglycerides < 500 mg/dl were evaluated.. A reference population was selected according to clinical and metabolic criteria to plot ROC Curves specific for gender and age groups to determine the optimal cutoff point according to sensitivity and specificity.The TGI was calculated according to the equation: ln [Fasting triglyceride (mg / dl) x Fasting glucose (mg / dl)] / 2. Results: The TGI in the general population was 4.6±0.3 (male: 4.66±0.34 vs. female: 4.56±0.33, p=8.93x10-10). The optimal cutoff point was 4.49, with a sensitivity of 82.6% and specificity of 82.1% (AUC=0.889, 95% CI: 0.854-0.924). There were no significant differences in the predictive capacity of the index when evaluated according to gender and age groups. Those individuals with TGI≥4.5 had higher HOMA2-IR averages than those with TGI <4.5 (2.48 vs 1.74, respectively, p<0.001). Conclusions: The TGI is a measure of interest to identify IR in the general population. We propose a single cutoff point of 4.5 to classify individuals with IR. Future studies should evaluate the predictive capacity of this index to determine atypical metabolic phenotypes, type 2 diabetes mellitus and even cardiovascular risk in our population. |
first_indexed | 2024-12-13T00:11:33Z |
format | Article |
id | doaj.art-8974df01c80e44f597de4264ec2fd66f |
institution | Directory Open Access Journal |
issn | 2046-1402 |
language | English |
last_indexed | 2024-12-13T00:11:33Z |
publishDate | 2018-01-01 |
publisher | F1000 Research Ltd |
record_format | Article |
series | F1000Research |
spelling | doaj.art-8974df01c80e44f597de4264ec2fd66f2022-12-22T00:05:58ZengF1000 Research LtdF1000Research2046-14022018-01-01610.12688/f1000research.12170.315065Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved]Juan Salazar0Valmore Bermúdez1María Calvo2Luis Carlos Olivar3Eliana Luzardo4Carla Navarro5Heysa Mencia6María Martínez7José Rivas-Ríos8Sandra Wilches-Durán9Marcos Cerda10Modesto Graterol11Rosemily Graterol12Carlos Garicano13Juan Hernández14Joselyn Rojas15Endocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaEndocrine-Metabolic Research Center, , University of Zulia, Maracaibo, VenezuelaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaGrupo de Investigación Altos Estudios de Frontera (ALEF), Universidad Simón Bolívar, Cúcuta, ColombiaDivision of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USABackground: Insulin resistance (IR) evaluation is a fundamental goal in clinical and epidemiological research. However, the most widely used methods are difficult to apply to populations with low incomes. The triglyceride-glucose index (TGI) emerges as an alternative to use in daily clinical practice. Therefore the objective of this study was to determine an optimal cutoff point for the TGI in an adult population from Maracaibo, Venezuela. Methods: This is a sub-study of Maracaibo City Metabolic Syndrome Prevalence Study, a descriptive, cross-sectional study with random and multi-stage sampling. For this analysis, 2004 individuals of both genders ≥18 years old with basal insulin determination and triglycerides < 500 mg/dl were evaluated.. A reference population was selected according to clinical and metabolic criteria to plot ROC Curves specific for gender and age groups to determine the optimal cutoff point according to sensitivity and specificity.The TGI was calculated according to the equation: ln [Fasting triglyceride (mg / dl) x Fasting glucose (mg / dl)] / 2. Results: The TGI in the general population was 4.6±0.3 (male: 4.66±0.34 vs. female: 4.56±0.33, p=8.93x10-10). The optimal cutoff point was 4.49, with a sensitivity of 82.6% and specificity of 82.1% (AUC=0.889, 95% CI: 0.854-0.924). There were no significant differences in the predictive capacity of the index when evaluated according to gender and age groups. Those individuals with TGI≥4.5 had higher HOMA2-IR averages than those with TGI <4.5 (2.48 vs 1.74, respectively, p<0.001). Conclusions: The TGI is a measure of interest to identify IR in the general population. We propose a single cutoff point of 4.5 to classify individuals with IR. Future studies should evaluate the predictive capacity of this index to determine atypical metabolic phenotypes, type 2 diabetes mellitus and even cardiovascular risk in our population.https://f1000research.com/articles/6-1337/v3Diabetes & ObesityMethods of Clinical Decision-MakingSocial & Behavioral Determinants of Health |
spellingShingle | Juan Salazar Valmore Bermúdez María Calvo Luis Carlos Olivar Eliana Luzardo Carla Navarro Heysa Mencia María Martínez José Rivas-Ríos Sandra Wilches-Durán Marcos Cerda Modesto Graterol Rosemily Graterol Carlos Garicano Juan Hernández Joselyn Rojas Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved] F1000Research Diabetes & Obesity Methods of Clinical Decision-Making Social & Behavioral Determinants of Health |
title | Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved] |
title_full | Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved] |
title_fullStr | Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved] |
title_full_unstemmed | Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved] |
title_short | Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population [version 3; referees: 2 approved] |
title_sort | optimal cutoff for the evaluation of insulin resistance through triglyceride glucose index a cross sectional study in a venezuelan population version 3 referees 2 approved |
topic | Diabetes & Obesity Methods of Clinical Decision-Making Social & Behavioral Determinants of Health |
url | https://f1000research.com/articles/6-1337/v3 |
work_keys_str_mv | AT juansalazar optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT valmorebermudez optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT mariacalvo optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT luiscarlosolivar optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT elianaluzardo optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT carlanavarro optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT heysamencia optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT mariamartinez optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT joserivasrios optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT sandrawilchesduran optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT marcoscerda optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT modestograterol optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT rosemilygraterol optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT carlosgaricano optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT juanhernandez optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved AT joselynrojas optimalcutofffortheevaluationofinsulinresistancethroughtriglycerideglucoseindexacrosssectionalstudyinavenezuelanpopulationversion3referees2approved |