Ultrasound Methods for the Assessment of Liver Steatosis: A Critical Appraisal

Clinical and biochemical spectrum of APOB-related hypobetalipoproteinemia: Insights from a retrospective cohort study

BACKGROUND

APOB-related familial hypobetalipoproteinemia (APOB-FHBL), the most common form of primary hypobetalipoproteinemia, often leaves heterozygous patients asymptomatic. This study aims to provide updated insights into the complications observed in heterozygous and homozygous APOB-FHBL patients.

METHODS

A retrospective analysis was conducted on 15 patients (53.3% female) from 7 families diagnosed with FHBL and followed in a metabolic clinic. Demographic, laboratory, clinical, and genetic data were reviewed.

RESULTS

Patients were followed for an average of 4.5 ± 4.1 years. The median levels were as follows: low-density lipoprotein cholesterol (LDL-C; 25.7 ± 10.5 mg/dL), apolipoprotein B (ApoB; 0.3 ± 0.1 g/L), aspartate aminotransferase (AST; 40.1 ± 22.5 U/L), alanine aminotransferase (ALT; 43.0 ± 38.3 U/L), and alpha feto-protein (AFP; 1.3 ± 0.7 ng/mL). Elevated AST and ALT levels were observed in 20.0% and 26.7% of cases, respectively. Vitamin E deficiency was identified in 26.7%, vitamin A deficiency in 13.3%, and vitamin D insufficiency in 66.7% of cases. Liver ultrasonography revealed hepatosteatosis in 73.3% of patients. Additionally, the study identified 5 novel APOB gene variants. Among the families, 3 had members who died due to complications related to viral infections (COVID-19, hepatitis B virus) or hepatocellular carcinoma (HCC) resulting from chronic liver disease.

CONCLUSION

Patients with elevated transaminase levels or hepatosteatosis should undergo a lipid profile assessment. LDL-C levels below 50 mg/dL require further evaluation, including ApoB and fat-soluble vitamin levels. Monoallelic APOB variants are linked to poor outcomes due to deficiencies in vitamins A, E, and D, as well as an increased risk of HCC. Early recognition and regular monitoring are essential for the effective management of APOB-FHBL patients.

Comparison of NAFLD, MAFLD, and MASLD Prevalence and Clinical Characteristics in Asia Adults

Background/Aims

The principal limitations of the term non-alcoholic fatty liver disease (NAFLD) are the reliance on exclusionary confounder terms and the use of potentially stigmatizing language. Within three years, NAFLD went through two name changes, from NAFLD to metabolic-dysfunction-associated fatty liver disease (MAFLD) to metabolic dysfunction-associated steatotic liver disease (MASLD). However, there is no Asian consensus statement on the renaming of MASLD, and evidence on the epidemiology and characteristics in the Asia population under different diagnostic criteria remain limited. This study aimed to fill these gaps by analyzing the prevalence and characteristics of MASLD, NAFLD, and MAFLD in an Asian population.

Methods

A retrospective, cross-sectional study was conducted in regional China with participants from the health management database in 2017-2022. Demographic and laboratory metabolic profile and body composition data were obtained. Hepatic steatosis were diagnosed by ultrasound. The likelihood of having fibrosis was assessed using the NAFLD fibrosis score (NFS). Recently proposed criteria for metabolic dysfunction-associated steatotic liver disease (MASLD) were applied.

Results

A total of 20,226 subjects were included for final analysis. 7465 (36.91%) participants were categorized as MASLD patients, 10,726 (53.03%) participants were MAFLD, and 7333 (36.26%) participants were NAFLD. Compared with MAFLD, body composition of MASLD and NAFLD patients were obviously different. MASLD patients were older, had a higher body mass index and percentage of male gender, and had a higher ALT, diastolic blood pressure, triglyceride, and waist circumference but lower High-Density Lipoprotein Cholesterol (HDL-C) than non-MASLD patients. Using binary regression analysis, we found for the first time that putative bone mass (OR = 4.62, 95CI% 3.12-6.83) is associated with the risk of developing MASLD. The area under the receiver operating curve (AUC) for predicting cardiovascular outcomes (CV) was 0.644 for MAFLD and 0.701 for MASLD.

Conclusion

MASLD (36.91%) prevalence was closed to NAFLD (36.26%) and lower than MAFLD (53.03%). Presumed bone mass might be the predictor of disease progression in MASLD patients. MASLD better identifies patients likely to have a higher risk of metabolic disorders or CV events.

Variability in Liver Size Measurements Using Different View Angles in Ultrasound Imaging

PURPOSE

The aim of this study was to compare liver size measurements in different conventional B-mode ultrasound image (US) field views using magnetic resonance imaging (MRI) measurement as a reference.

METHODS

After receiving Institutional Review Board approval and informed consent, three operators measured the largest sagittal and transverse dimensions of adult livers on three US image field views (90°, 120°, and 140°) with a single curvilinear transducer. We analyzed the differences in liver size across three image field views using one-way analysis of variance (ANOVA) and examined the correlations between MRI and ultrasound measurements using Spearman regression. We used 95% Bland-Altman limits of agreement (95% LOA) to analyze the confidence interval for liver size measurements between MRI and US. Intra-observer and inter-observer reliability in measuring liver size were assessed using intraclass correlation coefficient (ICC).

RESULTS

Based on sagittal liver length, 28 adult participants (7 men and 21 women, mean age 43 years) were divided into Group 1 (<17 cm, n = 10) or Group 2 (≥17 cm, n = 18). There was a significant difference in the liver size measurements across the three image field views (P < .001) in both groups. The highest correlation in liver size measurements between MRI and US was with ultra-wide-view (R2 = .87 in sagittal; R2 = .79 in transverse). Bland-Altman LOA also indicated good agreement between MRI and ultra-wide-view measurements. Intra-observer and inter-observer reliability in measuring liver size were good (ICC = 0.82-0.98).

CONCLUSION

The study suggests that ultrasound ultra-wide-view provides the most accurate liver size measurement and good intra- and inter-operator reliability.

An ultrasound multiparametric method to quantify liver fat using magnetic resonance as standard reference

BACKGROUND & AIMS

There is an unmet need for a reliable and reproducible non-invasive measure of fatty liver content (FLC) for monitoring steatotic liver disease in clinical practice. Sonographic FLC assessment is qualitative and operator-dependent, and the dynamic quantification range of algorithms based on a single ultrasound (US) parameter is unsatisfactory. This study aims to develop and validate a new multiparametric algorithm based on B-mode images to quantify FLC using Magnetic Resonance (MR) values as standard reference.

METHODS

Patients with elevated liver enzymes and/or bright liver at US (N = 195) underwent FLC evaluation by MR and by US. Five US-derived quantitative features [attenuation rate(AR), hepatic renal-ratio(HR), diaphragm visualization(DV), hepatic-portal-vein-ratio(HPV), portal-vein-wall(PVW)] were combined by mixed linear/exponential regression in a multiparametric model (Steatoscore2.0). One hundred and thirty-four subjects were used for training and 61 for independent validations; score-computation underwent an inter-operator reproducibility analysis.

RESULTS

The model is based on a mixed linear/exponential combination of 3 US parameters (AR, HR, DV), modelled by 2 equations according to AR values. The computation of FLC by Steatoscore2.0 (mean ± std, 7.91% ± 8.69) and MR (mean ± std, 8.10% ± 10.31) is highly correlated with a low root mean square error in both training/validation cohorts, respectively (R = 0.92/0.86 and RMSE = 5.15/4.62, p < .001). Steatoscore2.0 identified patients with MR-FLC≥5%/≥10% with sensitivity = 93.2%/89.4%, specificity = 86.1%/95.8%, AUROC = 0.958/0.975, respectively and correlated with MR (R = 0.92) significantly (p < .001) better than CAP (R = 0.73).

CONCLUSIONS

Multiparametric Steatoscore2.0 measures FLC providing values highly comparable with MR. It is reliable, inexpensive, easy to use with any US equipment and qualifies to be tested in larger, prospective studies as new tool for the non-invasive screening and monitoring of FLC.

The association of fructose and fiber consumption and physical activity with non-alcoholic fatty liver disease in children and adolescents: a cross-sectional study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is emerging as the most prevalent liver disease in overweight and obese children. While no cure exists, dietary and lifestyle modifications have been shown to improve the condition. This study investigates the relationship between fructose and fiber consumption, physical activity, and NAFLD in children.

METHODS

A cross-sectional study was conducted on 378 overweight and obese children aged 6-13 years. NAFLD diagnosis was confirmed via ultrasound, and dietary intake was assessed using a 147-item food frequency questionnaire (FFQ). Physical activity was evaluated using the Modifiable Activity Questionnaire (MAQ). Multivariable logistic regression models were applied to determine the associations.

RESULTS

After excluding 53 participants due to incomplete data, 325 were included in the final analysis. The mean age was 9.2 ± 1.7 years, and 35% had NAFLD. No significant association was found between fructose intake and NAFLD (OR: 0.67, 95% CI: 0.35-1.29, P = 0.221). However, higher intake of legume fiber (OR: 0.48, 95% CI: 0.26-0.90, P = 0.03) and nut fiber (OR: 0.52, 95% CI: 0.28-0.95, P = 0.04) was significantly associated with a reduced risk of NAFLD. Physical activity showed a trend towards reduced NAFLD risk but was not statistically significant after adjustments (OR: 0.53, 95% CI: 0.22-1.04, P = 0.07).

CONCLUSIONS

While fructose intake was not significantly linked to NAFLD in this population, fiber from legumes and nuts appeared protective. Further prospective studies are needed to confirm these findings and clarify the role of physical activity in NAFLD prevention.

Impact of Respiratory Motion on the Quantification of Pediatric Hepatic Steatosis Using Two Different Ultrasonography Machines

PURPOSE

This study aimed to investigate the effect of respiratory motion on hepatic steatosis quantification using ultrasound attenuation imaging (ATI) or ultrasound-guided attenuation parameter (UGAP) in pediatric patients.

MATERIALS AND METHODS

Pediatric patients (aged ≤18 years) who underwent liver ultrasonography (US) with ATI or UGAP between May 2022 and February 2023 were included retrospectively. Median, interquartile range (IQR), and IQR/median values were calculated in both free-breathing (FB) and breath-holding (BH) states. Subjects were divided into normal and fatty liver groups according to grayscale US. Wilcoxon signed rank test, intraclass correlation coefficient (ICC), and linear regression test were used.

RESULTS

A total of 83 patients (M:F=46:37, median age 10 years, range 6-17 years) was included, with 55 patients in the ATI group and 28 patients in the UGAP group. The measured values of ATI and UGAP were not significantly different between FB and BH. The ICC values between FB and BH states were 0.950 [95% confidence interval (CI) 0.916-0.971] for median ATI and 0.786 (95% CI 0.591-0.894) for median UGAP. FB and BH status did not significantly affect the median ATI and UGAP (p=0.852, 0.531, respectively). The IQR/median value showed a significant association with age only in the FB status of the normal group using ATI (β= -0.014, p=0.042).

CONCLUSION

Respiratory motion does not significantly affect the measurement of ATI or UGAP. Median ATI value showed excellent agreement in FB and BH status, while UGAP showed good agreement. Younger age may affect measurement variability in FB status of the normal group using ATI.

Pediatric metabolic (dysfunction)-associated fatty liver disease: current insights and future perspectives

The historical use of the term non-alcoholic fatty liver disease (NAFLD) in obese/overweight children has been controversial as to the appropriateness of this terminology in children, and lately, in adults too. Newer game-changer terminology, metabolic (dysfunction)-associated fatty liver disease (MAFLD), for this condition signifies a positive step forward that addresses the limitations of the previous definition for both adults and children. The prevalence of MAFLD has surged in tandem with the global rise in obesity rates, establishing itself as a predominant cause of chronic liver disease in both adult and pediatric populations. The adoption of the recently proposed nomenclature reflects a more encompassing comprehension of the disease and its etiology compared to its predecessor, NAFLD. Notably, the revised terminology facilitates the recognition of MAFLD as an autonomous condition while acknowledging the potential coexistence of other systemic fatty liver disorders. Particularly in children, this includes various paediatric-onset genetic and inherited metabolic disorders, necessitating thorough exclusion, especially in cases where weight loss interventions yield no improvement or in the absence of obesity. MAFLD presents as a multifaceted disorder; evidence suggests its origins lie in a complex interplay of nutritional, genetic, hormonal, and environmental factors. Despite advancements, current non-invasive diagnostic biomarkers exhibit limitations in accuracy, often necessitating imaging and histological evaluations for definitive diagnosis. While dietary and lifestyle modifications stand as cornerstone measures for MAFLD prevention and management, ongoing evaluation of therapeutic agents continues. This article provides an overview of the latest developments and emerging therapies in the realm of paediatric MAFLD.

Head-to-head comparison of three different US-based quantitative parameters for hepatic steatosis assessment: a prospective study

PURPOSE

To evaluate the diagnostic performance of attenuation coefficient (AC), hepato-renal index (HRI) and controlled attenuation parameter (CAP) in quantitative assessment of hepatic steatosis by employing histopathology as reference standard.

METHODS

Participants with suspected metabolic-associated fatty liver disease (MAFLD) who underwent US-based parameter examinations and liver biopsy were prospectively recruited. The distributions of US parameters across different grades of steatosis were calculated, and diagnostic performance was determined based on the areas under the receiver operating characteristic curve (AUC).

RESULTS

A total of 73 participants were included, with hepatic steatosis grades S0, S1, S2, and S3 distributed as follows: 13, 20, 27, and 13 respectively. The correlation coefficients for CAP, AC, and HRI ranged from 0.67 to 0.74. AC and HRI showed a strong correlation with steatosis grade. The AUC for CAP and AC in diagnosing steatosis ≥ S1 were significantly higher at 0.99 and 0.98 compared to HRI's value. For diagnosing steatosis ≥ S2, the AUC of CAP (AUC: 0.85) was lower than that of AC (AUC: 0.94), and HRI (AUC: 0.94). Similarly for diagnosing steatosis S3, the AUC of CAP (AUC: 0.68) was lower than that of AC (AUC: 0.88), and HRI (AUC: 0.88).

CONCLUSION

The AC and HRI values increased with the progression of hepatic steatosis grade, while CAP increased from S0 to S2 but not from S2 to S3. For mild steatosis diagnosis, CAP and AC showed superior diagnostic performance compared to HRI, while AC and HRI were more advantageous in differentiating moderate and severe steatosis.

Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis

The utilization of evolutive models and algorithms for predicting the evolution of hepatic steatosis holds immense potential benefits. These computational approaches enable the analysis of complex datasets, capturing temporal dynamics and providing personalized prognostic insights. By optimizing intervention planning and identifying critical transition points, they promise to revolutionize our approach to understanding and managing hepatic steatosis progression, ultimately leading to enhanced patient care and outcomes in clinical settings. This paradigm shift towards a more dynamic, personalized, and comprehensive approach to hepatic steatosis progression signifies a significant advancement in healthcare. The application of evolutive models and algorithms allows for a nuanced characterization of disease trajectories, facilitating tailored interventions and optimizing clinical decision-making. Furthermore, these computational tools offer a framework for integrating diverse data sources, creating a more holistic understanding of hepatic steatosis progression. In summary, the potential benefits encompass the ability to analyze complex datasets, capture temporal dynamics, provide personalized prognostic insights, optimize intervention planning, identify critical transition points, and integrate diverse data sources. The application of evolutive models and algorithms has the potential to revolutionize our understanding and management of hepatic steatosis, ultimately leading to improved patient outcomes in clinical settings.

Quantitative ultrasound (QUS) in the evaluation of liver steatosis: data reliability in different respiratory phases and body positions

Liver steatosis is the most common chronic liver disease and affects 10-24% of the general population. As the grade of disease can range from fat infiltration to steatohepatitis and cirrhosis, an early diagnosis is needed to set the most appropriate therapy. Innovative noninvasive radiological techniques have been developed through MRI and US. MRI-PDFF is the reference standard, but it is not so widely diffused due to its cost. For this reason, ultrasound tools have been validated to study liver parenchyma. The qualitative assessment of the brightness of liver parenchyma has now been supported by quantitative values of attenuation and scattering to make the analysis objective and reproducible. We aim to demonstrate the reliability of quantitative ultrasound in assessing liver fat and to confirm the inter-operator reliability in different respiratory phases. We enrolled 45 patients examined during normal breathing at rest, peak inspiration, peak expiration, and semi-sitting position. The highest inter-operator agreement in both attenuation and scattering parameters was achieved at peak inspiration and peak expiration, followed by semi-sitting position. In conclusion, this technology also allows to monitor uncompliant patients, as it grants high reliability and reproducibility in different body position and respiratory phases.

Adipocytokines as Predictors of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) Development in Type 2 Diabetes Mellitus Patients

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common chronic liver condition. Due to pathophysiological processes, MASLD's relation to type 2 diabetes mellitus (T2DM) is still unclear, especially when the role of adipocytokines is taken into consideration.

OBJECTIVE

This study aims to examine the potential predictive value of adiponectin and resistin for MASLD in T2DM.

PATIENTS AND METHODS

In a two-year study, 71 T2DM patients were categorized into MASLD-T2DM and non-MASLD-T2DM groups according to MASLD development. Serum samples were tested for resistin, adiponectin, high-density lipoprotein cholesterol, fasting glucose, and triglycerides. An appropriate equation is used to calculate the adiponectin/resistin (A/R) index. The optimal cut-off values for differentiating MASLD patients from non-MASLD patients were determined using receiver operating characteristic (ROC) curves and the corresponding areas under the curve (AUC). To predict the onset of MASLD in patients with T2DM, a logistic regression analysis was performed.

RESULTS

There were significant differences in adiponectin (p<0.001), resistin (p<0.001), and A/R index (p<0.001) between T2DM individuals with and without MASLD. The ROC curve for resistin produced an AUC of 0.997 (p<0.001) with a sensitivity of 96.1% and a specificity of 100% for the cut-off point of 253.15. Adiponectin (OR, 0.054; 95% CI, 0.011-0.268; p<0.001) and resistin (OR, 1.745; 95% CI, 1.195-2,548; p=0.004) were found to be independent predictors for MASLD by logistic regression analysis.

CONCLUSION

This study confirms the potential of adiponectin and resistin as predictors of MASLD development in T2DM.

Clinical Characteristics of Patients With Acquired Partial Lipodystrophy: A Multicenter Retrospective Study

BACKGROUND

Barraquer-Simons syndrome (BSS) is a rare, acquired form of lipodystrophy characterized by progressive loss of upper body subcutaneous fat, which affects face, upper limbs, and trunk. The pathogenesis of the disease is not entirely known and may involve autoimmune mechanisms.

AIM

This study aimed to provide a comprehensive picture of the clinical, immunological, and metabolic features of a large cohort of patients with BSS. Our primary objectives included the validation of existing diagnostic tools, the evaluation of novel diagnostic approaches, and the exploration of potential disease triggers or genetic predispositions.

SUBJECTS AND METHODS

Twenty-six patients were diagnosed with BSS based on accepted criteria defined by international guidelines. Anthropometric parameters, biochemical tests, organ- and non-organ-specific autoantibodies, HLA status, and screening of the LMNB2 gene were performed.

RESULTS

Patients were predominantly females (73%); fat loss occurred mostly during childhood (77%) at a median age of 8 years. Among various anthropometric measures, the ratio between the proportion of fat mass in upper limbs and lower limbs showed the best predictive value for diagnosis. A total of 11.5% of patients had diabetes, 34.6% dyslipidemia, and 26.9% hepatic steatosis. Seventy-five percent of children and 50% of adults had C3 hypocomplementemia; 76% of patients were positive for 1 or more autoantibodies. HLA-DRB1 11:03 had higher allelic frequencies compared with the general population. A single variant in the LMNB2 gene was found in 1 patient.

CONCLUSION

BSS has a childhood onset and is often associated with autoimmune diseases. Skinfold thickness measurements and fat assessment by dual energy X-ray absorptiometry are useful tools to identify the disease. C3 hypocomplementemia and the presence of autoantibodies may be used as additional diagnostic supportive criteria but the prevalence of C3 hypocomplementemia may be lower than previously reported.

Nonalcoholic Fatty Liver Disease and Staging of Hepatic Fibrosis

Nonalcoholic fatty liver disease (NAFLD) is in parallel with the obesity epidemic, and it is the most common cause of liver diseases. The patients with severe insulin-resistant diabetes having high body mass index (BMI), high-grade adipose tissue insulin resistance, and high hepatocellular triacylglycerols (triglycerides; TAG) content develop hepatic fibrosis within a 5-year follow-up. Insulin resistance with the deficiency of insulin receptor substrate-2 (IRS-2)-associated phosphatidylinositol 3-kinase (PI3K) activity causes an increase in intracellular fatty acid-derived metabolites such as diacylglycerol (DAG), fatty acyl CoA, or ceramides. Lipotoxicity-related mechanism of NAFLD could be explained still best by the "double-hit" hypothesis. Insulin resistance is the major mechanism in the development and progression of NAFLD/nonalcoholic steatohepatitis (NASH). Metabolic oxidative stress, autophagy, and inflammation induce NASH progression. In the "first hit" the hepatic concentrations of diacylglycerol increase with an increase in saturated liver fat content in human NAFLD. Activities of mitochondrial respiratory chain complexes are decreased in the liver tissue of patients with NASH. Hepatocyte lipoapoptosis is a critical feature of NASH. In the "second hit," reduced glutathione levels due to oxidative stress lead to the overactivation of c-Jun N-terminal kinase (JNK)/c-Jun signaling that induces cell death in the steatotic liver. Accumulation of toxic levels of reactive oxygen species (ROS) is caused at least by two ineffectual cyclical pathways. First is the endoplasmic reticulum (ER) oxidoreductin (Ero1)-protein disulfide isomerase oxidation cycle through the downstream of the inner membrane mitochondrial oxidative metabolism and the second is the Kelch like-ECH-associated protein 1 (Keap1)-nuclear factor (erythroid-derived 2)-like 2 (Nrf2) pathways. In clinical practice, on ultrasonographic examination, the elevation of transaminases, γ-glutamyltransferase, and the aspartate transaminase to platelet ratio index indicates NAFLD. Fibrosis-4 index, NAFLD fibrosis score, and cytokeratin18 are used for grading steatosis, staging fibrosis, and discriminating the NASH from simple steatosis, respectively. In addition to ultrasonography, "controlled attenuation parameter," "magnetic resonance imaging proton-density fat fraction," "ultrasound-based elastography," "magnetic resonance elastography," "acoustic radiation force impulse elastography imaging," "two-dimensional shear-wave elastography with supersonic imagine," and "vibration-controlled transient elastography" are recommended as combined tests with serum markers in the clinical evaluation of NAFLD. However, to confirm the diagnosis of NAFLD, a liver biopsy is the gold standard. Insulin resistance-associated hyperinsulinemia directly accelerates fibrogenesis during NAFLD development. Although hepatocyte lipoapoptosis is a key driving force of fibrosis progression, hepatic stellate cells and extracellular matrix cells are major fibrogenic effectors. Thereby, these are pharmacological targets of therapies in developing hepatic fibrosis. Nonpharmacological management of NAFLD mainly consists of two alternatives: lifestyle modification and metabolic surgery. Many pharmacological agents that are thought to be effective in the treatment of NAFLD have been tried, but due to lack of ability to attenuate NAFLD, or adverse effects during the phase trials, the vast majority could not be licensed.

Non-Invasive Diagnostic of NAFLD in Type 2 Diabetes Mellitus and Risk Stratification: Strengths and Limitations

The progressive potential of liver damage in type 2 diabetes mellitus (T2DM) towards advanced fibrosis, end-stage liver disease, and hepatocarcinoma has led to increased concern for quantifying liver injury and individual risk assessment. The combination of blood-based markers and imaging techniques is recommended for the initial evaluation in NAFLD and for regular monitoring to evaluate disease progression. Continued development of ultrasonographic and magnetic resonance imaging methods for accurate quantification of liver steatosis and fibrosis, as well as promising tools for the detection of high-risk NASH, have been noted. In this review, we aim to summarize available evidence regarding the usefulness of non-invasive methods for the assessment of NAFLD in T2DM. We focus on the power and limitations of various methods for diagnosis, risk stratification, and patient monitoring that support their implementation in clinical setting or in research field.

Glomerular Hyperfiltration: A Marker of Fibrosis Severity in Metabolic Associated Steatotic Liver Disease in an Adult Population

Glomerular hyperfiltration (GH) is an increase in the glomerular filtration rate, possibly progressing to chronic kidney disease (CKD). Metabolic-associated steatotic liver disease (MASLD) is linked to an increased risk of CKD, especially if fibrosis is present; however, the association between GH and MASLD has not been explored. To evaluate GH prevalence in MASLD and its possible correlation with liver fibrosis. 772 consecutive patients with ultrasound MASLD (mean age 47.3 ± 8.9 years, 67.1% males) were enrolled. GH was defined as estimated glomerular filtration rate (eGFR) greater than the upper quartile of values in the cohort. Liver stiffness measurement (LSM) by FibroScan ≥ 7.2 kPa suggested liver fibrosis. GH was present in 20% of patients, liver fibrosis in 30%. In total, 53.4% of the cohort was obese, 40.9% hypertensive, 36.3% diabetic and 70.8% dyslipidaemic. GH patients compared to non-GH were significantly younger (38.4 ± 8.3 vs. 49.5 ± 7.7, p < 0.001), with higher prevalence of LSM > 7.2 kPa (35.5% vs. 29%, p < 0.001), without any difference in metabolic comorbidities. In multivariate analysis, age (OR 0.85, CI 95% 0.82-0.87) and significant fibrosis (OR 1.83; CI 95%1.10-3.03) remained independently associated with GH, regardless of the presence of metabolic alterations and nephrotoxic drugs. GH, an early marker of renal damage, is highly prevalent in MASLD and is associated with hepatic fibrosis. GH may be considered an early marker of both liver and renal disease and its recognition could prompt the management of risk factors aimed at preventing the progression of both hepatic and renal disease.

Non-invasive evaluation of liver steatosis with imaging modalities: New techniques and applications

In the world, nonalcoholic fatty liver disease (NAFLD) accounts for majority of diffuse hepatic diseases. Notably, substantial liver fat accumulation can trigger and accelerate hepatic fibrosis, thus contributing to disease progression. Moreover, the presence of NAFLD not only puts adverse influences for liver but is also associated with an increased risk of type 2 diabetes and cardiovascular diseases. Therefore, early detection and quantified measurement of hepatic fat content are of great importance. Liver biopsy is currently the most accurate method for the evaluation of hepatic steatosis. However, liver biopsy has several limitations, namely, its invasiveness, sampling error, high cost and moderate intraobserver and interobserver reproducibility. Recently, various quantitative imaging techniques have been developed for the diagnosis and quantified measurement of hepatic fat content, including ultrasound- or magnetic resonance-based methods. These quantitative imaging techniques can provide objective continuous metrics associated with liver fat content and be recorded for comparison when patients receive check-ups to evaluate changes in liver fat content, which is useful for longitudinal follow-up. In this review, we introduce several imaging techniques and describe their diagnostic performance for the diagnosis and quantified measurement of hepatic fat content.