Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects.


Journal

Annals of nutrition & metabolism
ISSN: 1421-9697
Titre abrégé: Ann Nutr Metab
Pays: Switzerland
ID NLM: 8105511

Informations de publication

Date de publication:
2023
Historique:
received: 29 05 2022
accepted: 28 08 2022
medline: 13 4 2023
pubmed: 10 10 2022
entrez: 9 10 2022
Statut: ppublish

Résumé

Recently, the triglyceride-glucose (TyG) index has been suggested as a surrogate insulin resistance marker. This index could act as an early screening marker in individuals with a high risk of metabolic syndrome (MS) such as obese subjects. The objective of this work was to detect the cutoff point of the TyG index for the diagnosis of MS according to ATPIII criteria on obese subjects and to compare with HOMA-IR. We conducted a cross-sectional study in 1,494 obese subjects. Measurements of adiposity parameters, blood pressure, fasting blood glucose, insulin concentration, insulin resistance (HOMA-IR), lipid profile, C-reactive protein, adipokines, and the prevalence of MS were determined. The TyG index was calculated from the next equation: Ln (fasting triglycerides (mg/dL) × fasting glucose (mg/dL))/2. A total of 1,494 subjects were recruited, 421 males (28.1%) and 1,073 females (71.8%), with an average age of 45.8 ± 15.3 years (range: 29-62). A total of 677 subjects had MS (45.5%) and 817 did not show MS (54.6%). The averages of HOMA-IR and TyG index values increased as the components of MS were aggregated, and both indexes were higher in subjects with MS. The area under the curve (AUC) of the TyG index according to ATPIII criteria showed values of 0.746 (0.721-0.771; p = 0.001). The cutoff point according to the Youden index was 4.72, with sensitivity and specificity of 87% and 88.2%, respectively. For the HOMA-IR, AUC showed values of 0.682 (0.654-0.710; p = 0.01). The cutoff point was 3.23, with sensitivity and specificity of 78% and 70.1%, respectively. The TyG index is more powerful for predicting MS than HOMA-IR in Caucasian obese subjects.

Sections du résumé

BACKGROUND
Recently, the triglyceride-glucose (TyG) index has been suggested as a surrogate insulin resistance marker. This index could act as an early screening marker in individuals with a high risk of metabolic syndrome (MS) such as obese subjects.
AIMS
The objective of this work was to detect the cutoff point of the TyG index for the diagnosis of MS according to ATPIII criteria on obese subjects and to compare with HOMA-IR.
METHODS
We conducted a cross-sectional study in 1,494 obese subjects. Measurements of adiposity parameters, blood pressure, fasting blood glucose, insulin concentration, insulin resistance (HOMA-IR), lipid profile, C-reactive protein, adipokines, and the prevalence of MS were determined. The TyG index was calculated from the next equation: Ln (fasting triglycerides (mg/dL) × fasting glucose (mg/dL))/2.
RESULTS
A total of 1,494 subjects were recruited, 421 males (28.1%) and 1,073 females (71.8%), with an average age of 45.8 ± 15.3 years (range: 29-62). A total of 677 subjects had MS (45.5%) and 817 did not show MS (54.6%). The averages of HOMA-IR and TyG index values increased as the components of MS were aggregated, and both indexes were higher in subjects with MS. The area under the curve (AUC) of the TyG index according to ATPIII criteria showed values of 0.746 (0.721-0.771; p = 0.001). The cutoff point according to the Youden index was 4.72, with sensitivity and specificity of 87% and 88.2%, respectively. For the HOMA-IR, AUC showed values of 0.682 (0.654-0.710; p = 0.01). The cutoff point was 3.23, with sensitivity and specificity of 78% and 70.1%, respectively.
CONCLUSIONS
The TyG index is more powerful for predicting MS than HOMA-IR in Caucasian obese subjects.

Identifiants

pubmed: 36209727
pii: 000526988
doi: 10.1159/000526988
doi:

Substances chimiques

Glucose IY9XDZ35W2
Blood Glucose 0
Triglycerides 0
Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

70-77

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2022 S. Karger AG, Basel.

Auteurs

David Primo (D)

Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Investigation Centre on Endocrinology and Nutrition (IEN), University of Valladolid, Valladolid, Spain.

Olatz Izaola (O)

Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Investigation Centre on Endocrinology and Nutrition (IEN), University of Valladolid, Valladolid, Spain.

Daniel A de Luis (DA)

Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Investigation Centre on Endocrinology and Nutrition (IEN), University of Valladolid, Valladolid, Spain.

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Classifications MeSH