The Triglyceride and Glucose Index Is a Predictor of Incident Nonalcoholic Fatty Liver Disease: A Population-Based Cohort Study.


Journal

Canadian journal of gastroenterology & hepatology
ISSN: 2291-2797
Titre abrégé: Can J Gastroenterol Hepatol
Pays: Egypt
ID NLM: 101623613

Informations de publication

Date de publication:
2019
Historique:
received: 09 04 2019
revised: 02 06 2019
accepted: 10 09 2019
entrez: 6 11 2019
pubmed: 7 11 2019
medline: 30 5 2020
Statut: epublish

Résumé

The triglyceride and glucose index (TyG), defined as the product of triglycerides (TG) and fasting plasma glucose (FPG), is reported as a surrogate index for insulin resistance. Although a cross-sectional study revealed the association between the TyG-index and the prevalence of nonalcoholic fatty liver disease (NAFLD), few studies have investigated the association between the TyG-index and incident NAFLD. Here we investigated whether the TyG-index can be used to predict incident NAFLD. This historical cohort study included 16,093 apparently healthy Japanese individuals. The TyG-index was calculated by the established formula: TyG = Ln [TG (mg/dl) ×  FPG (mg/dl)/2]. Fatty liver was diagnosed based on the subjects' abdominal ultrasonography results. We divided the subjects into tertiles according to the levels of TyG-index. Hazard ratios (HRs) of the TyG-index for incident NAFLD were calculated by a Cox proportional hazards regression model. During the observation period, 27.4% of the men and 11.0% of the women developed NAFLD. The highest TyG-index tertile (men, 8.48 ≤ TyG and women, 7.97 ≤ TyG) (adjusted HR 1.67, 95% CI 1.44-1.94, Our findings demonstrate that the TyG-index is significantly associated with incident NAFLD.

Sections du résumé

Background
The triglyceride and glucose index (TyG), defined as the product of triglycerides (TG) and fasting plasma glucose (FPG), is reported as a surrogate index for insulin resistance. Although a cross-sectional study revealed the association between the TyG-index and the prevalence of nonalcoholic fatty liver disease (NAFLD), few studies have investigated the association between the TyG-index and incident NAFLD. Here we investigated whether the TyG-index can be used to predict incident NAFLD.
Methods
This historical cohort study included 16,093 apparently healthy Japanese individuals. The TyG-index was calculated by the established formula: TyG = Ln [TG (mg/dl) ×  FPG (mg/dl)/2]. Fatty liver was diagnosed based on the subjects' abdominal ultrasonography results. We divided the subjects into tertiles according to the levels of TyG-index. Hazard ratios (HRs) of the TyG-index for incident NAFLD were calculated by a Cox proportional hazards regression model.
Results
During the observation period, 27.4% of the men and 11.0% of the women developed NAFLD. The highest TyG-index tertile (men, 8.48 ≤ TyG and women, 7.97 ≤ TyG) (adjusted HR 1.67, 95% CI 1.44-1.94,
Conclusions
Our findings demonstrate that the TyG-index is significantly associated with incident NAFLD.

Identifiants

pubmed: 31687367
doi: 10.1155/2019/5121574
pmc: PMC6800935
doi:

Substances chimiques

Blood Glucose 0
Triglycerides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5121574

Informations de copyright

Copyright © 2019 Aya Kitae et al.

Déclaration de conflit d'intérêts

Y.H. received grants from Asahi Kasei Pharma outside the submitted work. M.F. received grants from AstraZeneca Plc, Astellas Pharma Inc., Nippon Boehringer Ingelheim Co., Daiichi Sankyo Co., Eli Lilly Japan K.K., Kyowa Hakko Kirin Co., Kissei Pharmaceutical Co., MSD K.K., Mitsubishi Tanabe Pharma Corp., Novo Nordisk Pharma, Ltd., Sanwa Kagaku Kenkyusho Co., Sanofi K.K., Ono Pharmaceutical Co., and Takeda Pharmaceutical Co. outside the submitted work. The sponsors were not involved in the study design; in the collection, analysis, or interpretation of data; in the writing of this manuscript; or in the decision to submit the article for publication. The authors, their immediate families, and any research foundations with which they are affiliated have not received any financial payments or other benefits from any commercial entity related to the subject of this article. The above authors declare that although they are affiliated with a department that is supported financially by a pharmaceutical company, they received no funding for this study and this affiliation does not alter their adherence to all the journal policies on sharing data and materials. The other authors have nothing to disclose.

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Auteurs

Aya Kitae (A)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

Yoshitaka Hashimoto (Y)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

Masahide Hamaguchi (M)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

Akihiro Obora (A)

Department of Gastroenterology, Asahi University Hospital, Gifu, Japan.

Takao Kojima (T)

Department of Gastroenterology, Asahi University Hospital, Gifu, Japan.

Michiaki Fukui (M)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

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Classifications MeSH