The ZJU index is a powerful surrogate marker for NAFLD in severely obese North American women

Association Between Visceral Adiposity and the Prediction of Hepatic Steatosis and Fibrosis in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)

Background/Objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of chronic liver disease and is closely linked to obesity and metabolic syndrome, necessitating efficient, non-invasive diagnostic tools. Methods: This monocentric cross-sectional study included 178 patients (69.1% with MASLD, 30.9% normal subjects; 55% males; mean age 52.79 ± 12.56 years) who underwent anthropometric and biochemical assessments to determine the visceral adiposity index (VAI), triglyceride-glucose index (TyG), and lipid accumulation product (LAP), along with abdominal ultrasound and vibration-controlled transient elastography (VCTE) with controlled attenuation parameter (CAP). Results: Patients were categorized based on steatosis severity: S0-S1 (n = 64) and S2-S3 (n = 114). The TyG, VAI, and LAP values were significantly higher in S2-S3 cases (p < 0.0001) and showed moderate-to-strong correlations with both steatosis and fibrosis. Predictive models yielded AUROCs of 0.80 (TyG), 0.83 (VAI), and 0.79 (LAP) for diagnosing S2-S3 steatosis. The NAFLD fibrosis score (NFS) and FIB-4 classified fibrosis severity, but 36.8% of cases remained unclassified. Applying the TyG and VAI thresholds reduced this rate to 26.3%. Conclusions: These findings support the TyG, VAI, and LAP as valuable non-invasive biomarkers for MASLD assessment, enhancing the classification accuracy when conventional fibrosis scores are inconclusive.

Analysis of the efficacy of the ZJU index and triglyceride‒glucose product index in identifying obstructive sleep apnea hypoventilation syndrome in patients with metabolic syndrome

PURPOSE

Metabolic syndrome (MS) and obstructive sleep apnea-hypopnea syndrome (OSAHS) are associated with an increased risk of cardiometabolic disease. The coexistence of OSAHS and metabolic disorders is common, but research on how to recognize OSAHS and how OSAHS risk exacerbates metabolic disorders is limited. This study aimed to analyze the correlations of the ZJU index and triglyceride‒glucose (TyG) index with OSAHS in MS patients and to investigate the ability to use the ZJU index and TyG-related indices to assess the presence and severity of OSAHS in MS patients.

METHODS

This retrospective study included 216 MS patients with perfect polysomnographic monitoring (PSG), who were categorized into MS combined with OSAHS (n = 142) and MS alone (n = 74) groups according to the sleep monitoring results. The MS combined with OSAHS group was further categorized into mild (n = 55), moderate (n = 34), and severe (n = 53) groups according to the apnea hypopnea index (AHI). The general clinical data, clinical biochemical indices, AHI, mean oxygen saturation (MSaO2), lowest oxygen saturation (LSaO2), and longest apnea duration were collected from all the included subjects. Composite indices such as the ZJU, TyG, and TyG-BMI indices were calculated. The differences in each metabolic index among the different groups were analyzed; logistic regression analysis was used to compare the correlations between each parameter and OSAHS, and the efficacy of each parameter in identifying OSAHS in the MS population was evaluated by receiver operating characteristic (ROC) curves.

RESULTS

The ZJU, TyG, and TyG-BMI indices were associated with OSAHS after adjusting for sex, age, history of hypertension, history of diabetes, and history of smoking (all P < 0.05). The odds ratios for the ZJU, TyG, and TyG-BMI indices were 1.472 (1.293-1.674), 9.811 (3.916-24.582), and 1.032 (1.020-1.044), respectively. The ZJU, TyG, and TyG-BMI indices are effective predictors of the occurrence of OSAHS in MS patients, and their cutoff values could be used for early screening of OSAHS. The ZJU index was the strongest predictor of OSAHS, (area under the curve 0.829, 95% CI 0.771-0.888), with an optimal cutoff value of 38.940.

CONCLUSIONS

The ZJU, TyG, and TyG-BMI indices are novel, valid, and practical indicators for early screening of OSAHS risk in MS patients.

Association between ZJU index and gallstones in US adult: a cross-sectional study of NHANES 2017-2020

BACKGROUND

Based on triglyceride, body mass index (BMI), alanine aminotransferase/ aspartate aminotransferase ratio, fasting blood glucose, the ZJU index is proven to be a novel and effective parameter for screening NAFLD in Chinese. This study aims to evaluate the correlation between ZJU values and the risk of developing gallstones.

METHODS

The data from the National Health and Nutrition Examination Survey (NHANES) database during the period from 2017 to 2020 were analyzed in this cross-sectional study. And 6155 participants were included to assess the correlation between the ZJU index and the formation of gallstones through multivariate logistic regression, receiver operating characteristic (ROC) curve, subgroup analysis, and restricted cubic spline regression (RCS) analyses.

RESULTS

In this population-based study, 6155 participants aged 18 years and older were included, among which, 671 had gallstones. Logistic regression and RCS regression analyses indicated a significant positive non-linearly correlation between the ZJU index and the prevalence of gallstones (OR = 1.044, 95% CI: 1.032, 1.056), with an inflection point of 40.6. Subgroup analysis further revealed a stronger correlation between the risk of developing gallstones and the ZJU index in females. ROC analysis indicated that the ZJU index (AUC = 0.653) can serve as a more robust predictor for developing gallstones compared to traditional indices, with a sensitivity of 55.9%, a specificity of 67.1% and a cutoff of 43.4.

CONCLUSION

This study provides evidence that elevated the ZJU index is correlated with an increased risk of developing gallstones.

The ZJU index is associated with the risk of sarcopenia in American adults aged 20-59: a cross-sectional study

BACKGROUND

The ZJU index is an innovative computational method which integrates BMI, FBG, TG, and ALT to AST ratio. It strongly correlates with measures of lipid metabolism and glucose intolerance. No researches have yet explored the relationship between the ZJU index and sarcopenia.

METHODS

We analyzed NHANES data from 2011 to 2018, dividing the ZJU index into quartiles. The association was investigated by adjusting for confounders using multivariable linear and logistic regression analysis. Results were visualized through RCS regression and threshold effect analyses. We conducted various subgroup and sensitivity analyses and plotted ROC curves to assess prediction efficacy, with the AUC as the measure of accuracy.

RESULTS

As the ZJU index increases, the prevalence of sarcopenia also rises. Following the control of potential confounders via logistic regression analysis, our research identified a distinct relationship between the ZJU index and sarcopenia, which was statistically significant (P < 0.001), with higher ZJU index values associated with increased risk (OR = 12.40, 95% CI: 8.46-18.17). Interaction analysis suggests that the relationship between the ZJU index and the risk of developing sarcopenia varies significantly between males and females across different ZJU index levels. ROC analysis for the ZJU index shows an AUC of 0.749.

CONCLUSIONS

The ZJU index significantly correlates with a heightened risk of sarcopenia in Americans, suggesting its potential as a predictive marker for sarcopenia.

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.

Correlation between ZJU index and hepatic steatosis and liver fibrosis in American adults with NAFLD

Background

ZJU index, a novel calculation combining blood glucose, body mass index (BMI), lipids and liver functions, is closely related with non-alcoholic fatty liver disease (NAFLD). However, the correlation between ZJU index and hepatic steatosis and liver fibrosis has not been reported in the studies. This study aims to examine the correlation between these variables.

Methods

Data from the 2017-2020 NHANES were collected for a cross-sectional study, to explore the linear relationship between ZJU, liver stiffness measurements (LSM) and controlled attenuation parameters (CAP) with multivariate linear regression models. Restricted cubic spline (RCS) regression and threshold effect analyses were utilized to describe the nonlinear relationship. The correlation in subgroups was analyzed based on race, gender, drinking, age, BMI, diabetes and moderate activities.

Results

In this population-based study, a total of 2,122 adults aged 18-80 years old with NAFLD were included. According to the multivariate linear regression analysis, ZJU had a significant positive correlation with liver fibrosis (LSM, β = 0.182, 95%CI = 0.154-0.211, p < 0.001) and hepatic steatosis (CAP, β = 2.35, 95%CI = 2.14-2.56, p < 0.001), which was stronger in males. According to the RCS analysis, an inverted L-shaped relationship between ZJU and CAP (inflection point at 60.56) and a J-shaped relationship between ZJU index and LSM (inflection point at 51.27) were observed.

Conclusion

ZJU had a positive correlation with CAP and LSM in American adults with NAFLD. The findings suggest that ZJU may be a valuable biomarker for assessing the severity of liver fibrosis and hepatic steatosis in individuals with NAFLD.

ZJU Index as a Predictive Tool for Diabetes Incidence: Insights from a Population-Based Cohort Study

BACKGROUND

In previous studies, the ZJU index was reported to be a superior predictor of nonalcoholic fatty liver disease in the Chinese population compared to the Fatty Liver Index. However, whether the ZJU Index is significantly associated with diabetes among Asian populations has not been determined.

METHODS

The NAGALA study was carried out at Murakami Memorial Hospital (Gifu, Japan) beginning in 1994. This study included the data of the subjects who underwent health check-ups from 2004 to 2015. The ZJU Index comprises body mass index (BMI), fasting plasma glucose, triglyceride, and alanine aminotransferase-to-aspartate aminotransferase (ALT) levels and an adjustment point for females. We conducted Cox proportional hazard regression to evaluate the association between quartiles of the ZJU Index and the risk of incident diabetes.

PARTICIPANTS

A total of 15,464 individuals who underwent health check-ups were included in this study.

RESULTS

A total of 373 cases of incident diabetes were documented during 93,350 person-years of follow-up. As the ZJU index increased, the incidence of diabetes gradually increased (P <0.001). According to the multivariable model adjusted for metabolic covariates, the fourth quartile of the ZJU Index was positively associated with the risk of diabetes compared to the first quartile (HR=2.519, 95% CI=1.297-4.891). Subgroup analysis revealed that the association between the ZJU index and diabetes risk was significant in subjects aged younger than 40 years (HR=3.327, 95% CI=1.544-7.171), in females (HR=4.480, 95% CI=1.302-15.419), in individuals with a BMI<25 kg/m2 (HR=3.812, 95% CI=1.992-7.293) and in individuals with a nonregular exercise (HR=2.479, 95% CI=1.193-5.152).

CONCLUSION

We observed a positive association between the ZJU Index and incident diabetes in the general population.

Association between the ZJU index and risk of new-onset non-alcoholic fatty liver disease in non-obese participants: a Chinese longitudinal prospective cohort study

Background

Non-alcoholic fatty liver disease (NAFLD) is increasingly observed in non-obese individuals. The ZJU (Zhejiang University) index has been established as a new and efficient tool for detecting NAFLD, but the relationship between the ZJU index and NAFLD within non-obese individuals still remains unclear.

Methods

A post-hoc evaluation was undertaken using data from a health assessment database by the Wenzhou Medical Center. The participants were divided into four groups based on the quartile of the ZJU Index. Cox proportional hazards regression, Kaplan-Meier analysis and tests for linear trends were used to evaluate the relationship between the ZJU index and NAFLD incidence. Subgroup analysis was conducted to test the consistency of the correlation between ZJU and NAFLD in subsgroups. Receiver operative characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the ZJU index, compared with the Atherogenic index of plasma (AIP) and Remnant lipoprotein cholesterol (RLP-C) index.

Results

A total of 12,127 were included in this study, and 2,147 participants (17.7%) developed NAFLD in 5 years follow-up. Participants in higher ZJU quartiles tended to be female and have higher liver enzymes (including ALP, GGT, ALT, AST), GLU, TC, TG, LDL and higher NAFLD risk. Hazard Ratios (HR) and 95% confidence intervals (CI) for new-onset NAFLD in Q2, Q3, and Q4 were 3.67(2.43 to 5.55), 9.82(6.67 to 14.45), and 21.67(14.82 to 31.69) respectively in the fully adjusted model 3. With increased ZJU index, the cumulative new-onset NAFLD gradually increased. Significant linear associations were observed between the ZJU index and new-onset NAFLD (p for trend all<0.001). In the subgroup analysis, we noted a significant interaction in sex, with HRs of 3.27 (2.81, 3.80) in female and 2.41 (2.21, 2.63) in male (P for interaction<0.01). The ZJU index outperformed other indices with an area under the curve (AUC) of 0.823, followed by AIP (AUC=0.747) and RLP-C (AUC=0.668).

Conclusion

The ZJU index emerges as a promising tool for predicting NAFLD risk in non-obese individuals, outperforming other existing parameters including AIP and RLP-C. This could potentially aid in early detection and intervention in this specific demographic.

The ZJU index is associated with the risk of obstructive sleep apnea syndrome in Chinese middle-aged and older people: a cross-sectional study

BACKGROUND

The ZJU index, a novel calculation that combines body mass index, triglycerides, fasting blood glucose and the ratio of alanine aminotransferase to aspartate aminotransferase, is a closely related measure of obesity and insulin resistance. Studies of the ZJU index in relation to obstructive sleep apnea syndrome (OSAS) have not been reported. This study assessed the correlation between the ZJU values and OSAS risk.

METHODS

A total of 2,130 participants who underwent polysomnographic monitoring were included in the study. The participants' basic information and laboratory biochemical indicators were collected, and the ZJU index was computed. The ZJU index was divided into quartiles. The correlation between the different ZJU index levels and OSAS risk was assessed using logistic regression. Drew a receiver operating characteristic (ROC) relationship curve, with prediction efficacy judged by the area under the curve (AUC), and found the optimum cut-off point for ZJU index to predict OSAS. Relative risks were presented as odds ratios (OR). The range of OR values is expressed in the form of 95% confidence intervals (95% CI).

RESULTS

The number of patients diagnosed with OSAS increased progressively with increasing ZJU index (T1: 9.4%; T2: 20.6%; T3: 28.3%; T4: 41.7%; P < 0.001). The additional confounders were adjusted by the logistic regression models, the study revealed an independent correlation between ZJU index and OSAS. (P < 0.001). The OSAS risk was notably higher at the highest ZJU index levels. (OR = 2.046 [95% CI: 1.057 to 3.964]). The ROC curve for the ZJU index showed an AUC of 0.64 (P < 0.001) for males and 0.75 (P < 0.001) for females, with a specificity of 64% and 55% and a sensitivity of 60% and 92% for males and females, respectively, with the optimum cut-off values of 36.568 and 34.722, respectively.

CONCLUSION

A high ZJU index was significantly associated with an increasing risk of OSAS. The ZJU is expected to be a meaningful index for detecting OSAS in the general population.

Liver Fat Scores for Noninvasive Diagnosis and Monitoring of Nonalcoholic Fatty Liver Disease in Epidemiological and Clinical Studies

Nonalcoholic fatty liver disease (NAFLD) is strongly associated with the metabolic syndrome and type 2 diabetes and independently contributes to long-term complications. Being often asymptomatic but reversible, it would require population-wide screening, but direct diagnostics are either too invasive (liver biopsy), costly (MRI) or depending on the examiner's expertise (ultrasonography). Hepatosteatosis is usually accommodated by features of the metabolic syndrome (e.g. obesity, disturbances in triglyceride and glucose metabolism), and signs of hepatocellular damage, all of which are reflected by biomarkers, which poorly predict NAFLD as single item, but provide a cheap diagnostic alternative when integrated into composite liver fat indices. Fatty liver index, NAFLD LFS, and hepatic steatosis index are common and accurate indices for NAFLD prediction, but show limited accuracy for liver fat quantification. Other indices are rarely used. Hepatic fibrosis scores are commonly used in clinical practice, but their mandatory reflection of fibrotic reorganization, hepatic injury or systemic sequelae reduces sensitivity for the diagnosis of simple steatosis. Diet-induced liver fat changes are poorly reflected by liver fat indices, depending on the intervention and its specific impact of weight loss on NAFLD. This limited validity in longitudinal settings stimulates research for new equations. Adipokines, hepatokines, markers of cellular integrity, genetic variants but also simple and inexpensive routine parameters might be potential components. Currently, liver fat indices lack precision for NAFLD prediction or monitoring in individual patients, but in large cohorts they may substitute nonexistent imaging data and serve as a compound biomarker of metabolic syndrome and its cardiometabolic sequelae.

Comparison of the diagnostic performance of twelve noninvasive scores of metabolic dysfunction-associated fatty liver disease

BACKGROUND

The absence of distinct symptoms in the majority of individuals with metabolic dysfunction-associated fatty liver disease (MAFLD) poses challenges in identifying those at high risk, so we need simple, efficient and cost-effective noninvasive scores to aid healthcare professionals in patient identification. While most noninvasive scores were developed for the diagnosis of nonalcoholic fatty liver disease (NAFLD), consequently, the objective of this study was to systematically assess the diagnostic ability of 12 noninvasive scores (METS-IR/TyG/TyG-WC/TyG-BMI/TyG-WtHR/VAI/HSI/FLI/ZJU/FSI/K-NAFLD) for MAFLD.

METHODS

The study recruited eligible participants from two sources: the National Health and Nutrition Examination Survey (NHANES) 2017-2020.3 cycle and the database of the West China Hospital Health Management Center. The performance of the model was assessed using various metrics, including area under the receiver operating characteristic curve (AUC), net reclassification index (NRI), integrated discrimination improvement (IDI), decision curve analysis (DCA), and subgroup analysis.

RESULTS

A total of 7398 participants from the NHANES cohort and 4880 patients from the Western China cohort were included. TyG-WC had the best predictive power for MAFLD risk in the NHANES cohort (AUC 0.863, 95% CI 0.855-0.871), while TyG-BMI had the best predictive ability in the Western China cohort (AUC 0.903, 95% CI 0.895-0.911), outperforming other models, and in terms of IDI, NRI, DCA, and subgroup analysis combined, TyG-WC remained superior in the NAHANES cohort and TyG-BMI in the Western China cohort.

CONCLUSIONS

TyG-BMI demonstrated satisfactory diagnostic efficacy in identifying individuals at a heightened risk of MAFLD in Western China. Conversely, TyG-WC exhibited the best diagnostic performance for MAFLD risk recognition in the United States population. These findings suggest the necessity of selecting the most suitable predictive models based on regional and ethnic variations.

Development and Validation of a Nomogram for Prediction of the Risk of MAFLD in an Overweight and Obese Population

BACKGROUND AND AIMS

Metabolic associated fatty liver disease (MAFLD) is a serious condition, and a simple method is needed for practitioners to identify patients with the disease and have a high risk of disease progression.

METHODS

We developed and validated a nomogram for fatty liver disease and reclassified the risk factors for MAFLD. The development cohort had 335 patients who received bioelectrical impedance analysis and liver ultrasound attenuation measurements at Shenzhen People's Hospital between September 2020 and June 2021. The validation cohort had 200 patients from other hospitals who received the same evaluation. A random forest procedure and binary logistic analysis were used to screen for risk factors, establish a fatty liver disease predictive model, and forecast the risk of MAFLD. The performance of the nomogram was evaluated by measurement of discrimination, calibration, and clinical usefulness.

RESULTS

The nomogram provided good predictions in a model that included body mass index (BMI) and waist circumference. The areas under the curve of the nomogram were 0.793 in the development cohort and 0.774 in the validation cohort. The nomogram performed well for calibration, category-free net reclassification improvement, and integrated discrimination improvement. Decision curve analysis indicated the nomogram performed better than BMI for predicting net outcome.

CONCLUSIONS

The nomogram was an effective screening tool for fatty liver disease, and for those overweight individuals, may help physicians make appropriate decisions regarding treatment of MAFLD.

Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study

OBJECTIVE

Metabolic dysfunction-associated fatty liver disease (MAFLD) affects 25% of the population without approved drug therapy. According to the latest consensus, MAFLD is divided into three subgroups based on different diagnostic modalities, including Obesity, Lean, and Type 2 diabetes mellitus (T2DM) MAFLD subgroups. This study aimed to find out the optimum non-invasive metabolism-related indicators to respectively predict MAFLD and its subgroups.

DESIGN

1058 Chinese participants were enrolled in this study. Anthropometric measurements, laboratory data, and ultrasonography features were collected. 22 metabolism-related indexes were calculated, including fatty liver index (FLI), lipid accumulation product (LAP), waist circumference-triglyceride index (WTI), etc. Logistic regression analyzed the correlation between indexes and MAFLD. Receiver operating characteristics were conducted to compare predictive values among 22 indicators for screening the best indicators to predict MAFLD in different subgroups.

RESULTS

FLI was the best predictor with the maximum odds ratio (OR) values of overall MAFLD (OR: 6.712, 95%CI: 4.766-9.452, area under the curve (AUC): 0.879, P < 0.05) and T2DM MAFLD subgroup (OR: 14.725, 95%CI: 3.712-58.420, AUC: 0.958, P < 0.05). LAP was the best predictor with the maximum OR value of Obesity MAFLD subgroup (OR: 2.689, 95%CI: 2.182-3.313, AUC: 0.796, P < 0.05). WTI was the best predictor with the maximum OR values of Lean MAFLD subgroup (OR: 3.512, 95%CI: 2.286-5.395, AUC: 0.920, P < 0.05).

CONCLUSION

The best predictors of overall MAFLD, Obesity, Lean, and T2DM MAFLD subgroups were respectively FLI, LAP, WTI, and FLI.

Obesity-Induced Hepatic Steatosis Is Partly Mediated by Visceral Fat Accumulation in Subjects with Overweight/Obesity: A Cross-Sectional Study

INTRODUCTION

We explored whether visceral fat accumulation mediates the development of hepatic steatosis in individuals living with overweight and obesity.

METHODS

This cross-sectional study enrolled 769 outpatients with overweight and obesity aged 18-65 years. The controlled attenuation parameter (CAP) was used to quantify the degree of hepatic steatosis. Visceral fat accumulation, represented by the visceral fat area (VFA), was measured using magnetic resonance imaging. The associations of body mass index (BMI), VFA, and CAP with each other were assessed by univariate analysis, multivariate linear regression, and mediation analysis, respectively.

RESULTS

Compared with women, male subjects had higher BMI, VFA, and CAP levels. In both sex, CAP was positively correlated with BMI and VFA by the univariate analysis. After adjusting for demographic and serum characteristics, the linear correlation coefficients between BMI and CAP were 1.738 (95% confidence interval (CI): 1.100, 2.377), 1.524 (95% CI: 0.798, 2.249), and 2.650 (95% CI: 1.292, 4.009) in all subjects, females, and males, respectively, while those between VFA and CAP were 0.190 (95% CI: 0.133, 0.247), 0.184 (95% CI: 0.117, 0.252), and 0.194 (95% CI: 0.086, 0.301). Mediation analysis showed that visceral fat accumulation contributed to 51.37%, 53.85%, and 26.51% of obesity-induced hepatic steatosis in the total, female, and male subjects, respectively.

CONCLUSION

Visceral fat accumulation partially mediates obesity-induced hepatic steatosis in individuals with overweight and obesity, especially in women. More focus on visceral fat reduction is needed in individuals with obesity.

Comparison of the Diagnostic Performance of Steatosis Indices for Discrimination of CT-Diagnosed Metabolic Dysfunction-Associated Fatty Liver Disease

Non-alcoholic fatty liver disease (NAFLD) was redefined as metabolic dysfunction-associated fatty liver disease (MAFLD) in 2020. Due to this, further validation of the non-invasive tests used in NAFLD diagnosis is required for MAFLD. There are five known steatosis indices for computed tomography (CT)-diagnosed MAFLD. These indices include the fatty liver index (FLI), the hepatic steatosis index (HSI), the lipid accumulation product (LAP), the visceral adiposity index (VAI), and the Zhejiang University index (ZJU). We aimed to analyze the diagnostic abilities of these five widely known steatosis indices for CT-diagnosed MAFLD. From March 2012 to October 2019, we retrospectively analyzed the clinical information and images of 1300 adults aged ≥19 years who underwent CT scans at our institution. To compare differences, the Chi-square test and independent t-test were used for categorical and continuous variables, respectively. The area under the receiver operating characteristic (AUROC) curve was used to validate the diagnostic accuracy of MAFLD. Of the five indices, FLI was the best at predicting MAFLD, with the highest AUROC (0.791). The sensitivity and specificity of FLI for diagnosing MAFLD were both 70.9%. The optimal cut-off value was 29.9. FLI is a useful surrogate index for screening MAFLD in clinical practice.

Diagnostic accuracy of the visceral adiposity index in patients with metabolic-associated fatty liver disease: a meta-analysis

Background

Conflicting results on the prognostic value of the visceral adiposity index (VAI) in patients with metabolic-associated fatty liver disease (MAFLD) have been reported. This study aimed to assess the diagnostic value of the VAI in MAFLD patients.

Methods

The Cochrane Library, PubMed, Embase, and other databases were searched to collect all documents that met the inclusion criteria from the establishment of the database to September 2021. The methodological quality of the included studies was assessed using the Newcastle–Ottawa Scale. The heterogeneity among the studies was analysed by the Cochran Q test and I² test, and the appropriate model was selected according to the heterogeneity results. The diagnostic efficacy of the VAI was evaluated by sensitivity, specificity, and area under the curve, and a Fagan diagram was generated to evaluate the diagnostic ability of the VAI.

Results

A total of 9 studies were included. The overall quality of the included studies was good. Meta-analysis showed that the combined sensitivity of the VAI for the diagnosis of MAFLD was 0.70 [95% CI (0.69–0.71)], the combined specificity was 0.67 [95% CI (0.67–0.68)], the combined positive likelihood ratio was 2.08 [95% CI (1.87–2.31)], the combined negative likelihood ratio was 0.39 [95% CI (0.34–0.44)], and the combined diagnostic odds ratio was 5.81 [95% CI (4.73–7.14)]. The corresponding area under the curve was 0.79 [95% CI (0.75–0.82)]. Meta-regression analysis showed that the diagnostic method was a potential source of heterogeneity (P < 0.05). The Fagan diagram showed that the precision of MAFLD diagnosis was 70% when the pretest probability was set to 50% and then supplemented by the VAI.

Conclusions

The VAI is an independent predictor in the diagnosis of MAFLD and may be helpful in the detection of MAFLD. A VAI > 2.33 suggests that patients have a high probability of having MAFLD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-022-01636-8.

Superb Microvascular Imaging-Based Vascular Index to Assess Adult Hepatic Steatosis: A Feasibility Study

The aim of the study was to assess the feasibility of using a superb microvascular imaging-based vascular index (SMI-VI) for evaluating adult hepatic steatosis. We prospectively compared liver parenchyma SMI-VI (color pixels/total pixels in the region of interest), portal vein velocity, hepatic artery Doppler parameters (peak systolic velocity, end diastolic velocity, resistive index) and serum lipid and alanine aminotransferase (ALT) levels between 16 normal livers and 34 steatotic livers using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) as the reference. On the basis of a two-tailed t-test, differences in SMI-VI, portal vein velocity, MRI-PDFF and ALT between normal (MRI-PDFF <5%) and steatotic (MRI-PDFF ≥5%) livers were statistically significant (p < 0.02), whereas hepatic artery Doppler parameters and triglyceride levels were not (p > 0.05). We observed an inverse correlation of SMI-VI with MRI-PDFF (r = -0.88). With 0.19 as the best cutoff value, the area under the receiver operating characteristic curve, sensitivity and specificity of SMI-VI for determining ≥mild (MRI-PDFF ≥5%) non-alcoholic fatty liver disease (NAFLD) were 0.95, 96% and 94%, respectively. Our results indicate the feasibility of using SMI-VI to assess adult hepatic steatosis. SMI-VI is a potential surrogate marker in the screening for NAFLD.

The Visceral Adiposity Index in Non-Alcoholic Fatty Liver Disease and Liver Fibrosis-Systematic Review and Meta-Analysis

(1) Background: In order to avoid a liver biopsy in non-alcoholic fatty liver disease (NAFLD), several noninvasive biomarkers have been studied lately. Therefore, we aimed to evaluate the visceral adiposity index (VAI) in NAFLD and liver fibrosis, in addition to its accuracy in predicting NAFLD and NASH. (2) Methods: We searched PubMed, Embase, Scopus, and Cochrane Library, identifying observational studies assessing the VAI in NAFLD and liver fibrosis. QUADAS-2 was used to evaluate the quality of included studies. The principal summary outcomes were mean difference (MD) and area under the curve (AUC). (3) Results: A total of 24 studies were included in our review. VAI levels were significantly increased in NAFLD (biopsy-proven and ultrasound-diagnosed), simple steatosis vs. controls, and severe steatosis vs. simple steatosis. However, no significant MD was found according to sex, liver fibrosis severity, simple vs. moderate and moderate vs. severe steatosis, pediatric NAFLD, and NASH patients. The VAI predicted NAFLD (AUC 0.767) and NASH (AUC 0.732). (4) Conclusions: The VAI has a predictive value in diagnosing NAFLD and NASH, with significantly increased values in adult NAFLD patients, simple steatosis compared to controls, and severe steatosis compared to simple steatosis.

Dose-response association of the ZJU index and fatty liver disease risk: A large cohort in China

AIM

The aim of this study is to investigate the sex-specific association between the ZJU index and risk of fatty liver disease in a large Chinese cohort.

METHODS

A total of 28 729 adults without fatty liver disease at baseline and who completed at least one follow-up of annual examinations between 2009 and 2016 were included in this study. The Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for fatty liver disease risk associated with the ZJU index.

RESULTS

During a median follow-up of 3.01 years, 7373 developed fatty liver disease. There were significant associations between the ZJU index and fatty liver disease for women and men with increasing HRs as the quartiles increase across Q2-Q4, corresponding HRs (95% CIs) in M3 were 2.28 (1.98-2.64), 3.52 (3.07-4.04), and 4.87 (4.24-5.59) for women and 2.44 (2.17-2.75), 4.18 (3.73-4.68), and 6.23 (5.56-6.98) for men. The association between the ZJU index and fatty liver disease risk remained significant in all the subgroups except that of T2DM and abdominal obesity subgroups for men. However, the association became nonsignificant when comparing Q3 and Q2 of the ZJU index with reference in the subgroups of T2DM for men, and nonsignificant when comparing Q3 of the ZJU index with reference in the subgroups of participants with T2DM and abdominal obesity for women.

CONCLUSION

The ZJU index was significantly associated with the risk of fatty liver disease in Chinese population. It will be better to keep body mass index, alanine aminotransferase, aspartate aminotransferase, triglyceride, and fasting plasma glucose at a normal level for preventing fatty liver disease.

Non-invasive imaging biomarkers to assess nonalcoholic fatty liver disease: A review

This review summarizes the current state of non-invasive diagnosis of non-alcoholic fatty liver disease (NAFLD). This begins with a brief discussion of blood-based analysis (serum biomarkers) then progresses through various imaging modalities (imaging biomarkers) including magnetic resonance (MR), computed tomography (CT), and ultrasound-based imaging methods. The review concludes with comment on the advantages, disadvantages, and prospects of commercially available modalities and the impact they may have on diagnosis and management of patients with NAFLD.

Usefulness of controlled attenuation parameter and liver stiffness measurement for detecting increased arterial stiffness in asymptomatic populations in China

In recent studies, vibration-controlled transient elastography (FibroScan) has been reported as an alternative noninvasive approach for measuring liver steatosis and fibrosis. The present study aimed to investigate the feasibility of FibroScan controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) in the detection of increased arterial stiffness in asymptomatic populations in China.A retrospective cohort recruiting 4747 asymptomatic patients with no underlying causes of liver disease and having FibroScan and brachial-ankle pulse wave velocity (baPWV) during wellness check-up was covered. Nonalcoholic fatty liver disease (NAFLD) was defined as a CAP ≥238 dB/m. NAFLD with significant fibrosis was defined as an LSM ≥7.3 kPa in the presence of NAFLD. Increased arterial stiffness was determined as a BaPWV ≥1.4m/second.Among the 4747 study participants, 1596 subjects (33.6%) suffered from increased arterial stiffness. The prevalence of increased arterial stiffness progressively increased across CAP quartiles and LSM quartiles in NAFLD (23.5%, 30.8%, 38.3%, 43.7%, P < .001 and 33.1%, 36.8%, 40.4%, 48.2%, P < .001, respectively). After conventional cardiovascular risk factors were adjusted (age, sex, overweight, diabetes mellitus, hypertension, hypercholesterolemia, and current smoking habits), multivariate logistic regression analysis revealed that CAP (odd ratio [OR] = 1.005; 95% confidence interval [CI]: 1.003-1.006; P < .001), NAFLD (OR = 1.427; 95% CI: 1.212-1.681; P < .001), LSM in NAFLD (OR = 1.073; 95% CI: 1.023-1.125; P = .003), and significant fibrosis in NAFLD (OR = 1.480; 95% CI: 1.090-2.010; P = .012) were independently associated with increased arterial stiffness. Furthermore, in a multivariate logistic regression analysis, OR (95% CI) for the maximal vs. the minimal quartile of CAP was 1.602 (1.268-2.024), and that of LSM in NAFLD was 1.362 (1.034-1.792) after adjustment for the above-mentioned risk factors. Notably, NAFLD and significant fibrosis in NAFLD were significantly correlated only with increased arterial stiffness in subjects without hypertension or diabetes mellitus after adjustment for the above-mentioned risk factors.CAP-defined NAFLD and LSM-defined significant fibrosis in NAFLD showed significant and independent relationships with increased arterial stiffness even after adjustment for conventional cardiovascular risk factors, which can be conducive to stratifying relative risk of subjects having undergone screening assessment for cardiovascular disease.

FIB-4 index is a marker for a subsequent decrease in insulin secretion in a non-diabetic Japanese population

Non-alcoholic fatty liver disease (NAFLD) is associated with a high risk of type 2 diabetes (DM), therefore, early diagnosis of NAFLD is important to prevent incident DM. FIB-4 index, a biomarker, often used to evaluate severity of NAFLD, may be useful to evaluate risk for incident DM in ordinary clinical setting. Here, we determined the association of FIB-4 index with changes in indices representing glucose metabolism with aging in a non-diabetic population. From among the participants of the population-based Iwaki study of Japanese people conducted during 2014-2017, 1,268 non-diabetic individuals with complete data sets (age: 51.4 ± 15.9 years; men/women: 485/773) were enrolled in a cross-sectional study. In addition, of the participants, 439 who attended consecutive appointments between 2014 and 2017 were enrolled in a longitudinal study that aimed to evaluate the changes in insulin secretion and resistance with aging (age: 53.1 ± 13.7 years; men/women: 178/261). The cross-sectional study showed significant correlations of FIB-4 index with homeostasis model of assessment (HOMA) indices, even after adjustment for multiple factors (HOMA-β: β =  - 0.254, p < 0.001; HOMA-R: β =  - 0.247, p < 0.001). The longitudinal study showed a significant association between FIB-4 index and the change in HOMA-β (p < 0.001) but not HOMA-R (p = 0.639) during the 3-year study period. Use of the optimal cut-off value of the FIB-4 index for the prediction of decreased insulin secretion (HOMA-β < 30), determined using receiver operating characteristic analysis (1.592), showed that individuals at risk had a hazard ratio of 2.22 (confidence interval 1.17-4.06) for decreased insulin secretion, after adjustment for confounders. FIB-4 index may represent a useful predictor of a subsequent decrease in insulin secretion, at least in a non-diabetic Japanese population.