The triglyceride-glucose index as a clinical useful marker for metabolic associated fatty liver disease (MAFLD): a population-based study among Iranian adults.

Metabolic associated fatty liver disease Non-alcoholic fatty liver disease Predictive value Triglyceride-glucose index

Journal

Journal of diabetes and metabolic disorders
ISSN: 2251-6581
Titre abrégé: J Diabetes Metab Disord
Pays: Switzerland
ID NLM: 101590741

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 12 09 2021
accepted: 17 11 2021
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 9 6 2022
Statut: epublish

Résumé

There is a bi-directional association between non-alcoholic fatty liver disease (NAFLD) and insulin resistance in type 2 diabetes mellitus (T2DM) and metabolic syndrome. The triglyceride-glucose (TyG) index is a novel surrogate marker of insulin resistance. In this population-based study, we aimed firstly to investigate the association of the TyG-index with metabolic-associated fatty liver disease (MAFLD) risk. This case-control study used the data from the first phase of the Persian Cohort Study in Sabzevar. Of 4,241 participants aged 35 to 70 years, we identified and recruited 968 MAFLD cases and 964 age- and sex-adjusted controls. Demographic, lifestyle, anthropometric, and biochemical information were collected. We calculated TyG and a new index combined of TyG and alanine aminotransferase (TyG-ALT). We used the multivariable unconditional logistic regression model to calculate the odds ratios (ORs) of the TyG and TyG-ALT for having MAFLD. Among those in the highest relative to the lowest TyG and TyG-ALT tertiles, the multivariable-adjusted ORs were 12.01 (95% CI [confidence interval] 9.03 - 15.98; The higher TyG and TyG-ALT scores were significantly positively associated with higher MAFLD risk in the Iranian population.

Sections du résumé

Background and aims UNASSIGNED
There is a bi-directional association between non-alcoholic fatty liver disease (NAFLD) and insulin resistance in type 2 diabetes mellitus (T2DM) and metabolic syndrome. The triglyceride-glucose (TyG) index is a novel surrogate marker of insulin resistance. In this population-based study, we aimed firstly to investigate the association of the TyG-index with metabolic-associated fatty liver disease (MAFLD) risk.
Methods UNASSIGNED
This case-control study used the data from the first phase of the Persian Cohort Study in Sabzevar. Of 4,241 participants aged 35 to 70 years, we identified and recruited 968 MAFLD cases and 964 age- and sex-adjusted controls. Demographic, lifestyle, anthropometric, and biochemical information were collected. We calculated TyG and a new index combined of TyG and alanine aminotransferase (TyG-ALT). We used the multivariable unconditional logistic regression model to calculate the odds ratios (ORs) of the TyG and TyG-ALT for having MAFLD.
Results UNASSIGNED
Among those in the highest relative to the lowest TyG and TyG-ALT tertiles, the multivariable-adjusted ORs were 12.01 (95% CI [confidence interval] 9.03 - 15.98;
Conclusions UNASSIGNED
The higher TyG and TyG-ALT scores were significantly positively associated with higher MAFLD risk in the Iranian population.

Identifiants

pubmed: 35673435
doi: 10.1007/s40200-021-00941-w
pii: 941
pmc: PMC9167320
doi:

Types de publication

Journal Article

Langues

eng

Pagination

97-107

Informations de copyright

© Springer Nature Switzerland AG 2021.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

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Auteurs

Ehsaneh Taheri (E)

Student Research Committee, Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohammad Amin Pourhoseingholi (MA)

Gasteroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Alireza Moslem (A)

Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.

Amir Hossein Hassani (AH)

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Alireza Mousavi Jarrahi (A)

Department of Community Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Hamid Asadzadeh Aghdaei (H)

Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohammad Reza Zali (MR)

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Behzad Hatami (B)

Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Classifications MeSH