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Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population

Juan Alfonso Salazar 1
, 
Valmore Bermúdez 1, 2
, 
María José Calvo 1
, 
Luis Carlos Olivar 1
, 
Eliana Luzardo 1
, 
Carla Navarro 1
, 
Heysa Mencia 1
, 
María Sofía Martínez 1
, 
José Rivas-Ríos 1
, 
Sandra Wilches-Durán 2
, 
Marcos Cerda 2
, 
Modesto Graterol 2
, 
Rosemily Graterol 2
, 
Carlos Garicano 2
, 
Juan Hernández Lalinde 2
, 
Joselyn Rojas-Quintero 1, 3
1
 
2
 
3
 
Тип публикации: Journal Article
Дата публикации: 2017-10-20
F1000 Research
scimago Q1
БС1
SJR: 0.537
CiteScore: 2.9
Impact factor: —
ISSN: 20461402
General Biochemistry, Genetics and Molecular Biology
General Medicine
General Immunology and Microbiology
General Pharmacology, Toxicology and Pharmaceutics
Краткое описание
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.
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Salazar J. A. et al. Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population // F1000Research. 2017. Vol. 6. p. 1337.
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Salazar J. A., Bermúdez V., Calvo M. J., Olivar L. C., Luzardo E., Navarro C., Mencia H., Martínez M. S., Rivas-Ríos J., Wilches-Durán S., Cerda M., Graterol M., Graterol R., Garicano C., Hernández Lalinde J., Rojas-Quintero J. Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population // F1000Research. 2017. Vol. 6. p. 1337.
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TY - JOUR
DO - 10.12688/f1000research.12170.2
UR - https://f1000research.com/articles/6-1337/v2
TI - Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population
T2 - F1000Research
AU - Salazar, Juan Alfonso
AU - Bermúdez, Valmore
AU - Calvo, María José
AU - Olivar, Luis Carlos
AU - Luzardo, Eliana
AU - Navarro, Carla
AU - Mencia, Heysa
AU - Martínez, María Sofía
AU - Rivas-Ríos, José
AU - Wilches-Durán, Sandra
AU - Cerda, Marcos
AU - Graterol, Modesto
AU - Graterol, Rosemily
AU - Garicano, Carlos
AU - Hernández Lalinde, Juan
AU - Rojas-Quintero, Joselyn
PY - 2017
DA - 2017/10/20
PB - F1000 Research
SP - 1337
VL - 6
PMID - 29375810
SN - 2046-1402
ER -
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@article{2017_Salazar,
author = {Juan Alfonso Salazar and Valmore Bermúdez and María José Calvo and Luis Carlos Olivar and Eliana Luzardo and Carla Navarro and Heysa Mencia and María Sofía Martínez and José Rivas-Ríos and Sandra Wilches-Durán and Marcos Cerda and Modesto Graterol and Rosemily Graterol and Carlos Garicano and Juan Hernández Lalinde and Joselyn Rojas-Quintero},
title = {Optimal cutoff for the evaluation of insulin resistance through triglyceride-glucose index: A cross-sectional study in a Venezuelan population},
journal = {F1000Research},
year = {2017},
volume = {6},
publisher = {F1000 Research},
month = {oct},
url = {https://f1000research.com/articles/6-1337/v2},
pages = {1337},
doi = {10.12688/f1000research.12170.2}
}