Hepatic steatosis is associated with anthropometry, cardio-metabolic disease risk, sex, age and urbanisation, but not with ethnicity in adult Kenyans

"Diagnosis Frequency and Associated Factors of Non-Alcoholic Fatty Liver Disease among U.S Hospitalized Adults in Urban vs. Rural populations from 2007 - 2019: An Emerging Public Health Crisis"

OBJECTIVES

To describe and understand differences between U.S. rural and urban populations with respect to outcomes of hospitalization and related epidemiology of Non-alcoholic fatty liver disease (NAFLD).

METHODS

We analyzed data from the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) from 2007 to 2019, identifying 847,165 NAFLD cases, of which 370,131 met inclusion criteria. Statistical analyses included Pearson's chi-square, independent samples t-tests, Mann-Whitney U tests, and multivariate logistic regression models to examine factors associated with NAFLD.

RESULTS

Hospitalizations due to NAFLD significantly increased over time from 2007 - 2019 with urban cases constituting 84.9% while rural cases represented 15.1%. Differences in demographics, hospital characteristics, insurance, income, and outcomes were significant between the two groups. Multivariate analysis showed higher odds of NAFLD diagnosis in fringe metro areas (adjusted odds ratio [a.O.R.]=1.074, 95% CI=1.044-1.105), medium metro counties ((a.O. R.=1.146, 95% CI=1.114-1.179), small metro counties (a.O. R.=1.182, 95% CI=1.140-1.226), and rural regions (a.O. R.=1.279, 95% CI=1.233-1.327) compared to central metro areas. NAFLD was more prevalent in females, those aged 35-49 or 50-64 years, and White patients, particularly among those with diabetes, metabolic syndrome, and obesity.

CONCLUSION

The increasing prevalence of NAFLD suggests a strong association with metabolic and cardiovascular diseases. With increasing closure of rural hospitals, we may see more rural patients with NAFLD admitted to urban centers. Early detection and diagnosis should help prevent long-term complications of NAFLD.

Association Between Bioimpedance-Determined Metabolic Age and MASLD Risk Scores in Spanish Workers

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent liver disorder with significant metabolic implications. Metabolic age, determined through bioimpedance analysis, has emerged as a potential indicator of overall metabolic health. The objective of this study is to evaluate the association between metabolic age and MASLD risk scores in a cohort of Spanish workers. Methods: A cross-sectional study was conducted on 8590 Spanish workers who underwent annual occupational health examinations between 2019 and 2020. Metabolic age was determined using bioelectrical impedance analysis, and the Avoidable Lost Life Years (ALLY) index was calculated as the difference between their metabolic and chronological age. MASLD risk was assessed using various validated scales, including the Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI), Zhejiang University Index (ZJU), Fatty Liver Disease Index (FLD), and Lipid Accumulation Product (LAP). A multinomial logistic regression analysis was performed to examine the association between metabolic age and MASLD risk scores, adjusting for sociodemographic and lifestyle variables. Results: Higher metabolic age values were observed in individuals with greater MASLD risk across all evaluated scales. The mean metabolic age was consistently lower in women compared to men, and these differences were statistically significant (p < 0.01). Multinomial logistic regression analysis revealed that the strongest associations with increased metabolic age were found for MASLD risk scores, physical inactivity, and poor adherence to the Mediterranean diet. ROC curve analysis demonstrated a high predictive capacity for the FLD (AUC: 0.935 in women and 0.917 in men) and FLI (AUC: 0.900 in women and 0.833 in men), with high Youden index values. Conclusions: Metabolic age is significantly associated with MASLD risk, suggesting its potential as a non-invasive biomarker for identifying individuals with a higher risk for metabolic liver disease. Lifestyle factors, including physical activity and dietary patterns, play a crucial role in modulating metabolic age, highlighting the importance of targeted interventions for MASLD prevention. Further research is warranted to validate metabolic age as a prognostic tool in MASLD risk assessment.

Prevalence of Liver Steatosis Among Workers in Ouagadougou and Associated Factors: A Cross-Sectional Study

Aims

Liver steatosis prevalence is growing, linked to the current worldwide epidemics of obesity and Type 2 diabetes. In sub-Saharan Africa, data on apparent healthy workers must still be included. This study aimed to determine the prevalence of hepatic steatosis and its associated factors in the workplace.

Methods and Results

A cross-sectional study was conducted from July to October 2022 in seven selected public and private works places in Ouagadougou, Burkina Faso. Workers still in activity were enrolled by random sampling. Sociodemographic and anthropometric characteristics and blood pressure measurements were performed using standard procedures. Blood samples for fasting blood glucose, cholesterol (total, HDL, LDL), triglycerides, transaminases (AST, ALT), gamma-glutamyl-transferase, C reactive protein, uric acid, surface antigen of hepatitis B (HBsAg), antibody to hepatitis C virus (anti-HCV), and HIV antibodies have been realized. Liver steatosis was assessed by FIBROSCAN with controlled attenuation parameter (CAP). An adjusted logistic regression analysis was performed. A significance level of 5% was applied. A total of 500 workers were included in this study. Among them, 293 (58.6%) were men. The prevalence of hepatic steatosis was 18% (95% CI: 14.7-21.7). Factors associated with hepatic steatosis were age over 50 (p = 0.038), waist circumference (p = 0.0001), body mass index (p = 0.008), and cytolysis (p = 0.001).

Conclusion

Liver steatosis affects almost a fifth of working people. Health policies must step up the fight against obesity and other nutrition-related noncommunicable diseases.

Assessment of the clinical value of five noninvasive predictors of metabolic dysfunction-associated steatotic liver disease in Han Chinese adults

BACKGROUND

Fatty Liver Index (FLI), Triglyceride-Glucose Index (TyG), Lipid Accumulation Product (LAP), Zhejiang University Index (ZJU), and Visceral Adiposity Index (VAI) are five classical predictive models for fatty liver disease. Our cross-sectional study aimed to identify the optimal predictors by comparing the predictive value of five models for metabolic dysfunction-associated steatotic liver disease (MASLD) risk.

METHODS

Data on 2687 participants were collected from West China Hospital of Sichuan University. Controlled attenuation parameters assessed by transient elastography were used to effectively diagnose MASLD. Logistic regression analysis was used to estimate the odd ratios and 95% confidence intervals between indices and MASLD risk. Receiver operating characteristic curves were plotted to evaluate the predictive value of indices.

RESULTS

This study included 1337 normal and 1350 MASLD samples. The average age of MASLD patients is 47 years old, and the prevalence was higher in males (39.3%) than in females (10.9%). Five indices were positively correlated with MASLD risk, with the strongest correlation for TyG. Overall, the area under the curve of the indicators was: ZJU 0.988, FLI 0.987, LAP 0.982, TyG 0.942, and VAI 0.941. In the gender stratification, ZJU (0.989) performed best in males. FLI (0.988) and ZJU (0.987) had similar predictive ability in females. In the age stratification, FLI performed better in predicting the middle-aged group aged 30-40 years (0.991).

CONCLUSION

For Chinese Han adults, ZJU is the best predictive index for initial screening of MASLD. FLI can serve as an alternative tool for ZJU to predict females.

Influence of age, body mass index and gender on sonographic indicators of the liver in patients with metabolic dysfunction-associated steatotic liver disease

Background. The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing along with the increasing prevalence of obesity. There are close relationships between these two pathologies due to the functioning of adipose tissue as an endocrine organ with a complex influence on various metabolic processes. It is known that premenopausal women are less prone to fatty liver disease than men. The aim was to study the influence of gender, body mass index (BMI) and age on sonographic indicators and the degree of liver steatosis in patients with metabolic dysfunction-associated steatotic liver disease. Materials and methods. Ninety-two patients with MASLD were included in the study, 48 women and 44 men. Inclusion criterion was metabolic dysfunction-associated steatotic liver disease, exclusion criteria were any non-metabolic factors of chronic diffuse liver disease. Patients were divided into groups by gender and age. Women were divided by age according to the presence and absence of menopause, men were divided into groups below and above 45 years — the conventional age of the beginning of the decline in gonadotropic function. The analysis of structural changes of the liver, namely the assessment of the size, contours, structure, echogenicity, and visualization of blood vessels in the B-mode was carried out with the help of ultrasound examination on Toshiba Xario 660 (Japan). The degree of steatosis was assessed by the controlled attenuation parameter. Results. In men, the right, left and caudate liver lobes were significantly larger (p < 0.05) than in women, which is due to the higher weight of men in the absence of a difference in the BMI. There was no significant difference between men and women in degree of steatosis (p > 0.05). A moderate positive correlation (r = 0.63) was found between BMI and the controlled attenuation parameter; in women, there was no connection between these indicators. Analysis of correlations in women of different ages, divided by the presence of menopause, found that before menopause, there was no dependence of steatosis indicators on BMI, while with the onset of menopause, the coefficient of correlation between these indicators was 0.39 (р < 0.02). Conclusions. No significant difference was found between the frequency of various degrees of steatosis in MASLD according to the controlled attenuation parameter in men and women. There was a dependence of the severity of liver steatosis on the BMI in men, the dependence of steatosis on the body mass index in women was manifested starting from the menopause period, which suggests the protective role of female sex hormones.

A Machine Learning Model to Predict Risk for Hepatocellular Carcinoma in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease

Background and Aims

Hepatocellular carcinoma (HCC) incidence is increasing and correlated with metabolic dysfunction-associated steatotic liver disease (MASLD; formerly nonalcoholic fatty liver disease), even in patients without advanced liver fibrosis who are more likely to be diagnosed with advanced disease stages and shorter survival time, and less likely to receive a liver transplant. Machine learning (ML) tools can characterize large datasets and help develop predictive models that can calculate individual HCC risk and guide selective screening and risk mitigation strategies.

Methods

Tableau and KNIME Analytics were used for descriptive analytics and ML tasks. ML models were developed using standard laboratory and clinical parameters. Sci-kit learn algorithms were used for model development. Data from University of California (UC), Davis, were used to develop and train a pilot predictive model, which was subsequently validated in an independent dataset from UC San Francisco. MASLD and HCC patients were identified by International Classification of Diseases-9/10 codes.

Results

Of the patients diagnosed with MASLD (n = 1561 training; n = 686 validation), HCC developed in 14% (n = 227) of the UC Davis training cohort and 25% (n = 176) of the UC San Francisco validation cohort. Liver fibrosis determined by the noninvasive Fibrosis-4 score was the strongest single predictor for HCC in the model. Using the validation cohort, the model predicted HCC development at 92.06% accuracy with an area under the curve of 0.97, F1-score of 0.84, 98.34% specificity, and 74.41% sensitivity.

Conclusion

ML models can aid physicians in providing early HCC risk assessment in patients with MASLD. Further validation will translate to cost-effective, personalized care of at-risk patients.

Validation of the Fatty Liver Index for identifying non-alcoholic fatty liver disease in a Kenyan population

BACKGROUND AND AIM

Fatty Liver Index (FLI) is a simple clinical scoring system estimating non-alcoholic fatty liver disease (NAFLD). It is validated in European-descent and Asian populations, but not in sub-Saharan Africans. The aim of this study is to evaluate the validity of the FLI for predicting NAFLD in a population from Kenya.

METHODS

Participants were recruited from a community-based study conducted in Kenya. NAFLD was diagnosed using hepatic ultrasonography. Clinical, anthropometrical, biochemical and lifestyle data were obtained. The accuracy and cut-off point of the FLI to detect NAFLD were evaluated by area under the receiver operator characteristic curve and the maximum Youden index analysis.

RESULTS

A total of 640 participants (94 with NAFLD) were included. Mean age was 37.4 ± 0.4 years and 58.7% were women. Mean body mass index (BMI) was 22.3 ± 0.2 kg/m2 and waist circumference (WC) 79.1 ± 0.4 cm. A total of 15 (2.3%) participants were diagnosed with type 2 diabetes and 65 (10.2%) with obesity (BMI ≥ 30 kg/m2 ). AUROC of FLI for predicting NAFLD was 0.80 (95% CI 0.74-0.85), which was significantly higher compared to individual components gamma-glutamyl transferase and triglycerides (p < 0.05), but not compared to anthropometric parameters BMI (AUROC of 0.83, 95% CI 0.79-0.88) and WC (AUROC of 0.81, 95% CI 0.76-0.87).

CONCLUSIONS

FLI is a simple valid scoring system to use in rural and urban Kenyan adults. However, this index might not be superior to BMI or WC to predict NAFLD, and those measurements might therefore be more appropriate in limited settings.