Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling

Effect of different modalities of exercise on Fatty Liver Index in patients with metabolic syndrome: The RESOLVE randomized trial

INTRODUCTION

Metabolic associated liver disease (MASLD) is the most common liver disease in the world especially in people with metabolic syndrome. First-line treatments mainly consist in lifestyle modifications for these populations. The main objective of this study is to assess the effect of a short intervention program with different exercise modalities on Fatty Liver Index (FLI) in patients with metabolic syndrome.

METHODS

85 patients (40 men, 45 women) with metabolic syndrome and liver steatosis were randomized in 3 groups for a 3 weeks residential program: Re group-high-resistance-moderate-endurance; rE group-moderate-resistance with high-endurance and re group-moderate-resistance with moderate-endurance. Patients also followed a negative energy balance of 500 kcal/day. Then, a follow-up of 1 year with interviews with dieticians and exercise physicians to maintain lifestyle modification was performed. Anthropometric, cardiometabolic and hepatic outcomes were performed at baseline, at the end of the 3-week residential program, 3 months, 6 months and 12 months after baseline.

RESULTS

This study demonstrated that all three training programs significantly improve FLI and that this effect was lasting among the follow-up (p < 0.001). More specifically, the Re group exhibited a more pronounced decrease in FLI compared with re (p < 0.05). Finally, the decrease in FLI was associated with improvement in anthropometric and cardiometabolic outcomes at 3-weeks (p < 0.001) and 3-months (p < 0.01).

CONCLUSION

Short duration program is effective to improve FLI and cardiometabolic parameters in MASLD patients. Encourage to increase physical activity even for a short duration is relevant in this population.

Prediction and Validation of Metabolic Dysfunction-Associated Fatty Liver Disease Using Fatty Liver-Related Indices in a Japanese Population

Background: Recently, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed. It is uncertain how indices that predict fatty liver are associated with MAFLD in Japanese. Methods: Among subjects who underwent a health examination at our hospital, 1257 (men: 787, women: 474) subjects participated in fatty liver evaluation of the fatty liver index (FLI) and fatty liver predicting index (FLPI) were included in this cross-sectional study. The discriminatory ability of each index for MAFLD was tested using receiver operating characteristic curve analysis. The association between FLI, FLPI, and MAFLD was investigated using multiple logistic regression analysis. Results: FLI and FLPI had good discriminatory ability for identifying MAFLD in both men and women, with specific cutoff values. Both FLI and FLPI were significantly higher in subjects with MAFLD, and the odds of MAFLD were higher among those in the highest tertile relative to the lowest tertile in both men and women. FLI and FLPI were higher in subjects who met the criteria for both MAFLD and metabolic syndrome (MetS) compared to those who had MAFLD or MetS alone, and most of the examined parameters in subjects with both conditions indicated a high metabolic risk profile. Conclusions: The study suggests that FLI and FLPI are valuable tools for predicting MAFLD and are similarly correlated with the disease. Furthermore, the highest values of these indices were observed in subjects who met the criteria for both MAFLD and MetS, emphasizing the importance of considering both conditions when assessing metabolic risk.

Fatty Liver Index (FLI) Identifies Not Only Individuals with Liver Steatosis but Also at High Cardiometabolic Risk

A fatty liver index (FLI) greater than sixty (FLI ≥ 60) is an established score for metabolic dysfunction-associated steatotic liver disease (MASLD), which carries a high risk for diabetes and cardiovascular disease, while a FLI ≤ 20 rules out the presence of steatosis. Thus, we investigated whether FLI was associated with cardiometabolic risk factors, i.e., visceral (VAT), subcutaneous (SC), epicardial (EPI), extrapericardial (PERI), and total cardiac (CARD-AT) adipose tissue, hepatic fat ((by magnetic resonance imaging, MRI, and spectroscopy, MRS), and insulin resistance (IR, HOMA-IR and OGIS-index), and components of metabolic syndrome. All individuals with FLI ≥ 60 had MASLD, while none with FLI ≤ 20 had steatosis (by MRS). Subjects with FLI ≥ 60 had a higher BMI and visceral and cardiac fat (VAT > 1.7 kg, CARD-AT > 0.2 kg). FLI was positively associated with increased cardiac and visceral fat and components of metabolic syndrome. FLI, VAT, and CARD-AT were all associated with IR, increased blood pressure, cholesterol, and reduced HDL. For FLI ≥ 60, the cut-off values for fat depots and laboratory measures were estimated. In conclusion, FLI ≥ 60 identified not only subjects with steatosis but also those with IR, abdominal and cardiac fat accumulation, increased blood pressure, and hyperlipidemia, i.e., those at higher risk of cardiometabolic diseases. Targeted reduction of FLI components would help reduce cardiometabolic risk.