Triglyceride Glucose Index and Related Parameters (Triglyceride Glucose-Body Mass Index and Triglyceride Glucose-Waist Circumference) Identify Nonalcoholic Fatty Liver and Liver Fibrosis in Individuals with Overweight/Obesity

Khamseh, Mohammad E.; Malek, Mojtaba; Abbasi, Rowshanak; Taheri, Hoda; Lahouti, Maryam; Alaei-Shahmiri, Fariba

doi:10.1089/met.2020.0109

Cited by 83 publications

(101 citation statements)

References 32 publications

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“…They pointed out that TyG index-related parameters had the highest AUC value for predicting IR compared to visceral obesity indicators, lipid parameters, lipid ratios, and adipokines. Subsequent studies showed that TyG index-related parameters were used to predict non-obese, overweight, and obese people's NAFLD better than TyG alone [14,24,33]. This study expands the sample size from a previous study and found that TyG index-related parameters have excellent prediction performance in most populations.…”

Section: Discussionmentioning

confidence: 52%

“…The formulas for calculating obesity and lipid-related indices are shown in Fig. 1 [13][14][15][16][17][18][19][20][21].…”

Section: Data Collection and Measurementmentioning

confidence: 99%

“…In this context, a number of simple anthropometric indicators, biochemical indicators, and some combination of indicators, and even complex digital models have been developed to assess NAFLD risk. Among them, obesity and lipid-related indices are the most effective markers for predicting NAFLD and are widely used in epidemiological studies, including triglyceride (TG), conicity index (COI), visceral adiposity index (VAI), triglyceride-glucose (TyG) index, body roundness index (BRI), body mass index (BMI), hepatic steatosis index (HSI), waist circumference (WC), body-shape index (ABSI), waist-toheight ratio (WHtR), lipid accumulation product (LAP), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and TyG index-related parameters (TyG-WHtR, TyG-BMI, TyG-WC) [12][13][14][15][16][17][18][19][20][21]. At present, there are very few comparative studies on the prediction of NAFLD by obesity and lipid-related indices.…”

Section: Introductionmentioning

confidence: 99%

“…The conclusions of several existing studies are controversial, and do not include TyG indexrelated parameters [21][22][23]. According to some recent studies, TyG index-related parameters are promising new indicators for predicting NAFLD [14,24]. It is critical to further compare TyG index-related parameters with other obesity and lipid-related indices and identify more useful biomarkers for predicting NAFL D. Therefore, the present study was designed to evaluate the best obesity and lipid-related indices for predicting NAFLD through an epidemiological survey of 14251 from the general population who underwent health screening.…”

Section: Introductionmentioning

confidence: 99%

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The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease

Sheng

Xie

et al. 2021

Lipids Health Dis

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Background Conicity index, body-shape index, lipid accumulation product (LAP), waist circumference (WC), triglyceride, triglyceride-glucose (TyG) index, hepatic steatosis index (HSI), waist-to-height ratio (WHtR), TyG index-related parameters (TyG-WHtR, TyG-BMI, TyG-WC), body mass index (BMI), visceral adiposity index, triglyceride to high-density lipoprotein cholesterol ratio and body roundness index have been reported as reliable markers of non-alcoholic fatty liver disease (NAFLD). However, there is debate about which of the above obesity and lipid-related indices has the best predictive performance for NAFLD risk. Methods This study included 6870 female and 7411 male subjects, and 15 obesity and lipid-related indices were measured and calculated. NAFLD was diagnosed by abdominal ultrasound. The area under the curve (AUC) of 15 obesity and lipid-related indices were calculated by receiver operating characteristic (ROC) analysis. Results Among the 15 obesity and lipid-related indices, the TyG index-related parameters had the strongest association with NAFLD. ROC analysis showed that except for ABSI, the other 14 parameters had high predictive value in identifying NAFLD, especially in female and young subjects. Most notably, TyG index-related parameters performed better than other parameters in predicting NAFLD in most populations. In the female population, the AUC of TyG-WC for predicting NAFLD was 0.9045, TyG-BMI was 0.9084, and TyG-WHtR was 0.9071. In the male population, the AUC of TyG-WC was 0.8356, TyG-BMI was 0.8428, and TyG-WHtR was 0.8372. In addition, BMI showed good NAFLD prediction performance in most subgroups (AUC>0.8). Conclusions Our data suggest that TyG index-related parameters, LAP, HSI, BMI, and WC appear to be good predictors of NAFLD. Of these parameters, TyG index-related parameters showed the best predictive potential.

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Section: Discussionmentioning

confidence: 52%

“…The formulas for calculating obesity and lipid-related indices are shown in Fig. 1 [13][14][15][16][17][18][19][20][21].…”

Section: Data Collection and Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease

Sheng

Xie

et al. 2021

Lipids Health Dis

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“… 14–16 Moreover, cross-sectional studies in different populations indicated that the TyG index was higher in NAFLD patients and its accuracy and reliability in detecting NAFLD with a specificity of 60.1% and a sensitivity of 70.6%. 17 , 18 However, these studies did not address the cause-effect relationship between the TyG index and NAFLD outcomes because of their cross-sectional nature.…”

Section: Introductionmentioning

confidence: 99%

Association Between the Triglyceride–Glucose Index and Outcomes of Nonalcoholic Fatty Liver Disease: A Large-Scale Health Management Cohort Study

Liu¹,

Guan²,

Zhao³

et al. 2021

DMSO

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Background Nonalcoholic fatty liver disease (NAFLD) is increasingly becoming a major health burden. Due to the difficulty of liver biopsy, there is no reliable indicator to evaluate the outcomes of NAFLD. The triglyceride–glucose (TyG) index is a simple and convenient marker of insulin resistance for use in medical practice. Whether the TyG index is predictive of later risk of NAFLD remains unknown. Objective To evaluate the relationship between TyG index with NAFLD progression and improvement during a median follow-up period of 21 months. Material and Methods A total of 11,424 subjects (9327 men) diagnosed with NAFLD were included. The TyG index was calculated as follows: ln [fasting triglycerides (mg/dL) * fasting glucose (mg/dL)/2]. Multivariable Cox regression analysis was applied to analyze the data. Results In this study, the severity of NAFLD remained the same in 38.8% of subjects, worsened in 17.4% of subjects, and improved in 43.8% of subjects. Compared with the lowest quartile of the TyG index, the adjusted HR of NAFLD progression in the highest quartile (TyG≥9.34) was 1.448 (1.229 to 1.706), and the adjusted HR of NAFLD improvement was 0.817 (0.723 to 0.923). Subgroup analysis found that smoking increased the correlation between the TyG index and the risk of NAFLD progression, while female, vegan diet, and weight control enhanced the correlation between the TyG index and the risk of NAFLD improvement. Conclusion The TyG index may be a simple and helpful indicator for further risk appraisal of NAFLD in daily clinical practice.

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Simple proxies of insulin resistance identify obese metabolic dysfunction‐associated fatty liver disease subjects with advanced liver disease

Petralli,

Salvati,

Tricò

et al. 2023

Diabetes Metabolism Res

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AimsInsulin resistance (IR) plays a pivotal role in the pathogenesis of Metabolic dysfunction‐Associated Fatty Liver Disease (MAFLD), which can progress to liver fibrosis. We examined the relationship of different IR scores with markers of MAFLD severity in obese individuals.Materials and MethodsIn this retrospective observational study, 346 non‐diabetic, overweight/obese individuals with newly diagnosed MAFLD (age 50.2 ± 13.3 years, 34% females, BMI 30.8 ± 4.4 kg/m2) underwent liver stiffness (LS) and controlled attenuation parameter (CAP) measurements by Fibroscan® to assess liver fibrosis and steatosis. Biochemical data were collected to calculate surrogate markers of IR (Homoeostasis model assessment ‐ insulin resistance index [HOMA‐IR], triglyceride‐glucose index, triglyceride by HDL ratio), liver fibrosis (Nonalcoholic Fatty Liver Diseases fibrosis score, fibrosis‐4 score, Aspartate aminotransferase to platelet ratio index) and steatosis (fatty liver index, hepatic steatosis index).ResultsAll three IR scores were associated with CAP, while only HOMA‐IR positively correlated with LS (r = 0.275, p < 0.0001), independent of age and sex, BMI, transaminases, and fibrosis markers. Insulin‐resistant individuals (HOMA‐IR >2.5, n = 165) had higher liver enzymes, CAP and LS, with a 4‐fold increased risk of severe liver disease (LS >9.7 kPa, OR 4.42[1.95–10.01], p = 0.0002). Among HOMA‐IR components, fasting plasma insulin (FPI) was independently associated with LS (r = 0.270, p < 0.0001). ROC AUC for HOMA‐IR and FPI to predict severe liver disease were virtually identical (0.748 and 0.758, respectively).ConclusionsHOMA‐IR is independently associated with non‐invasive markers of MAFLD severity in overweight/obese individuals. This relationship is largely mediated by hyperinsulinemia, regardless of BMI. Measuring insulin levels in MAFLD individuals might be useful to identify those at risk of liver fibrosis.

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Triglyceride Glucose Index and Related Parameters (Triglyceride Glucose-Body Mass Index and Triglyceride Glucose-Waist Circumference) Identify Nonalcoholic Fatty Liver and Liver Fibrosis in Individuals with Overweight/Obesity

Cited by 83 publications

References 32 publications

The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease

The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease

Association Between the Triglyceride–Glucose Index and Outcomes of Nonalcoholic Fatty Liver Disease: A Large-Scale Health Management Cohort Study

Simple proxies of insulin resistance identify obese metabolic dysfunction‐associated fatty liver disease subjects with advanced liver disease

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