Insulin Resistance/Sensitivity Measures as Screening Indicators of Metabolic-Associated Fatty Liver Disease and Liver Fibrosis.

BACKGROUND: Measures of insulin resistance (IR)/sensitivity (IS) are emerging tools to identify metabolic-associated fatty liver disease (MAFLD). However, the comprehensive assessment of the performance of various indicators is limited. Moreover, the utility of measures of IR/IS in detecting liver fibrosis remains unclear. AIMS: To evaluate the predictive ability of seventeen IR/IS and two beta cell function indices to identify MAFLD and liver fibrosis. METHODS: A cross-sectional study was conducted on individuals aged 25-75 years. Transient elastography was used to estimate liver stiffness and controlled attenuation parameter. The following measures were computed: homeostatic model assessment (HOMA/HOMA2) for IR, IS, and beta cell function; QUICKI; Bennett index; glucose/insulin; FIRI; McAuley index; Reynaud index; SPISE index; TyG; TyG-BMI; TyG-WC; TyG-WHtR; TG/HDL; and METS-IR. Subgroup analyses were performed according to age, gender, diabetes status, and body weight. RESULTS: A total of 644 individuals were included in our analysis. MAFLD and significant liver fibrosis were detected in 320 (49.7%) and 80 (12.4%) of the participants, respectively. All measures of IR/IS identified MAFLD and liver fibrosis. However, TyG-WC, TyG-BMI, and TyG-WHtR were the top three indicators that identified MAFLD. Measures that include insulin level in their mathematical calculation, namely, Raynaud index, HOMA-IR, HOMA 2-IR, FIRI, and QUICKI had the best performance in identifying liver fibrosis in the entire population, as well as among the study subgroups. CONCLUSIONS: TyG-WC, TyG-BMI, and TyG-WHtR were the best predictors of MAFLD. Insulin-based measures had better performances in the detection of advanced fibrosis. This was independent of age, gender, obesity, or diabetes status.

Visceral Adipose Tissue and Non-alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes.

AIM: To explore the association of visceral adipose tissue (VAT) area and non-alcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM). METHODS: This was a cross-sectional study comprising 100 patients with T2DM and 100 non-T2DM individuals, matched for age, sex, and body mass index (BMI). Transient elastography was used to assess hepatic steatosis and liver stiffness measurements (LSM). Controlled attenuation parameter (CAP) was used to quantify hepatic steatosis. To distinguish grades of hepatic steatosis, cutoff values were as follows: S1 ≥ 302, S2 ≥ 331, and S3 ≥ 337 dB/m. Moreover, VAT area was measured by dual-energy X-ray absorptiometry in accordance with validated protocols. RESULTS: CAP score was significantly higher in participants with T2DM (294.61 ± 3.82 vs. 269.86 ± 3.86 dB/ m; P < 0.001). Furthermore, 42% of participants with T2DM had hepatic steatosis (S > S1: 302 dB/m), while this figure was 26% in non-T2DM group (P < 0.003). The mean liver stiffness measurement was also significantly higher in patients with T2DM (5.53 vs. 4.79 kPa; P < 0.001). VAT area was greater in patients with T2DM compared to non-T2DM individuals: 163.79 ± 47.98 cm2 versus 147.49 ± 39.09 cm2, P = 0.009. However, total and truncal fat mass were not different between the two groups. Age, BMI, waist circumference, ALT, CAP, and LSM were significantly associated with VAT area. BMI and VAT area were the important determinants of steatosis in both groups of participants with and without T2DM. Moreover, the VAT area was associated with the severity of hepatic steatosis and liver stiffness, independent of anthropometric measures of obesity. CONCLUSION: VAT area is a major determinant of the severity of hepatic steatosis and liver stiffness in patient with T2DM.

Hepatic Steatosis and Fibrosis in Type 2 Diabetes: A Risk-Based Approach to Targeted Screening.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is common in people with type 2 diabetes mellitus (T2DM). We aimed to explore predictive factors of NAFLD in T2DM and identify high risk subgroups. METHODS: This was a cross-sectional study including 100 individuals with T2DM and 100 without diabetes matched for age, sex, and body mass index (BMI). Hepatic steatosis grades (calculated by controlled attenuation parameters-CAP score-3), and liver fibrosis stages (F0-F4) were determined using transient elastography. RESULTS: The frequency of NAFLD was comparable between the two study groups. However, CAP scores were significantly higher in individuals with diabetes (294.90 ± 53.12 vs. 269.78 ± 45.05 dB/m; P < 0.001). Fifty percent of individuals with diabetes had severe steatosis (S3), while this figure was 31.6% in those without diabetes (P < 0.05). Significant fibrosis (F2-F4) was more frequent in individuals with T2DM (13% vs. 4.1%, P = 0.02). Individuals with T2DM and advanced fibrosis had significantly higher BMI, waist circumference (WC), waist-hip ratio (WHR), alanine aminotransferase (ALT), aspartate aminotransferase (AST), and CAP score compared to those without fibrosis (P < 0.05). In the regression analysis, a model including BMI, WHR, AST and female gender explained 50% of the variation in CAP score in patients with diabetes (all P < 0.05, adjusted R2 : 0.508). CAP scores were also the major determinant of liver fibrosis in this group (OR: 1.04; CI: 1.017-1.063; P = 0.001). CONCLUSION: Individuals with diabetes are more likely to have severe fibrosis. Obesity (especially central obesity), the female gender, elevated liver enzymes, and higher degree of insulin resistance are associated with more advanced liver disease in individuals with T2DM.

Triglyceride glucose-waist to height ratio: a novel and effective marker for identifying hepatic steatosis in individuals with type 2 diabetes mellitus.

BACKGROUND: The triglyceride-glucose index (TyG), and TyG-driven parameters incorporating TyG and obesity indices have been proposed as reliable indicators of insulin resistance and its related comorbidities. This study evaluated the effectiveness of these indices in identifying hepatic steatosis in individuals with Type 2 diabetes (T2DM). METHODS: This was a cross-sectional study consisting of 175 patients with T2DM (122 with and 53 without NAFLD). TyG index, triglyceride glucose-body mass index (TyG-BMI), triglyceride glucose-waist circumference (TyG-WC), and triglyceride glucose-waist-to-height ratio (TyG-WHtR) were determined using standard formulas. Controlled attenuation parameter (CAP) was measured by transient elastography (FibroScan). RESULTS: Among obesity parameters, CAP showed the strongest correlation with WHtR, followed by BMI and WC (all P < 0.001). Regression analyses demonstrated TyG-WHtR as a significant predictor of NAFLD with the highest odds ratio, reaching 10.69 (95% CI: 1.68-68.22) for the top quartile (Q4) compared to the first quartile (P = 0.01), followed by TyG-BMI (Q4: 6.75; 95% CI: 1.49-30.67) and TyG-WC (Q4: 5.90; 95% CI: 0.99-35.18). Moreover, TyG-WHtR presented the largest AUC for detection of NAFLD (0.783, P < 0.001) in ROC analysis, followed by TyG-BMI (AUC: 0.751, P < 0.001), TyG-WC (AUC: 0.751, P < 0.001), and TyG (AUC: 0.647, P = 0.002). TyG-WHtR value of 5.58 (sensitivity: 79%, specificity: 68%, P < 0.001) was the best cut-off point to identify hepatic steatosis in this population. CONCLUSIONS: This study confirmed that the TyG-related indices comprising TyG and obesity parameters can identify hepatic steatosis more successfully than TyG alone. Furthermore, our results highlighted TyG-WHtR as a simple and effective marker for screening fatty liver in patients with T2DM, which may be used practically in clinical setting.