Non-invasive assessment of liver fibrosis and prognosis: an update on serum and elastography markers

Investigating the correlation between polyunsaturated fatty acids intake and non-invasive biomarkers of liver fibrosis

BACKGROUND

Polyunsaturated fatty acids (PUFAs) have potentially beneficial effects on the liver tissue. Noninvasive biomarkers, including imaging techniques and blood-based biomarkers, are important tools for assessing liver fibrosis. This study aims to investigate the relationship between dietary intake of PUFAs and noninvasive biomarkers for liver fibrosis in the general population.

METHODS

The National Health and Nutrition Examination Survey 2017-2018 (NHANES 2017-2018) datasets were used. Fibrosis-4 index (FIB-4), FIB-8, and Fatty Liver Index (FLI) were calculated for each subject. The fibrosis groups were compared based on their intake of PUFA. The correlation between each score and PUFA intake was calculated. Correlation analysis was performed.

RESULTS

A total of 5087 subjects (50.36% female) with a mean age of 49.37 ± 12.14 were evaluated. The mean of median liver stiffness measurement (LSM) was 5.92 ± 5.20 kPa (kPa). The mean PUFA intake was reported as 20.2 ± 13.9 gm. Fibrosis (F) grouping revealed that 190 subjects had F3, and 154 F4. HDL had a significant correlation with Docosapentaenoic acid (DPA) intake (r = -0.038, p = 0.007). Moreover, AST and ALT had a significant correlation with Docosahexaenoic acid (DHA) intake (r = 0.033 and 0.059, p = 0.019 and < 0.001, respectively). FIB-4 and FIB-8 had no correlation with PUFA intake. FLI had a significant correlation with DPA acid (r = 0.062, p < 0.001).

CONCLUSION

A significant correlation between FLI, and PUFA intake suggests that increasing PUFA consumption could have a positive impact on liver health.

A machine learning-based model analysis for serum markers of liver fibrosis in chronic hepatitis B patients

Early assessment and accurate staging of liver fibrosis may be of great help for clinical diagnosis and treatment in patients with chronic hepatitis B (CHB). We aimed to identify serum markers and construct a machine learning (ML) model to reliably predict the stage of fibrosis in CHB patients. The clinical data of 618 CHB patients between February 2017 and September 2021 from Zhejiang Provincial People's Hospital were retrospectively analyzed, and these data as a training cohort to build the model. Six ML models were constructed based on logistic regression, support vector machine, Bayes, K-nearest neighbor, decision tree (DT) and random forest by using the maximum relevance minimum redundancy (mRMR) and gradient boosting decision tree (GBDT) dimensionality reduction selected features on the training cohort. Then, the resampling method was used to select the optimal ML model. In addition, a total of 571 patients from another hospital were used as an external validation cohort to verify the performance of the model. The DT model constructed based on five serological biomarkers included HBV-DNA, platelet, thrombin time, international normalized ratio and albumin, with the area under curve (AUC) values of the DT model for assessment of liver fibrosis stages (F0-1, F2, F3 and F4) in the training cohort were 0.898, 0.891, 0.907 and 0.944, respectively. The AUC values of the DT model for assessment of liver fibrosis stages (F0-1, F2, F3 and F4) in the external validation cohort were 0.906, 0.876, 0.931 and 0.933, respectively. The simulated risk classification based on the cutoff value showed that the classification performance of the DT model in distinguishing hepatic fibrosis stages can be accurately matched with pathological diagnosis results. ML model of five serum markers allows for accurate diagnosis of hepatic fibrosis stages, and beneficial for the clinical monitoring and treatment of CHB patients.

Validation of FIB-6 score in assessment of liver fibrosis in chronic hepatitis B

BACKGROUND

We recently developed a simple novel index called fibrosis 6 (FIB-6) using machine learning data analysis. We aimed to evaluate its performance in the diagnosis of liver fibrosis and cirrhosis in chronic hepatitis B (CHB).

METHODS

A retrospective observational analysis of data was obtained from seven countries (Egypt, Kingdom of Saudi Arabia (KSA), Turkey, Greece, Oman, Qatar, and Jordan) of CHB patients. The inclusion criteria were receiving an adequate liver biopsy and a complete biochemical and hematological data. The diagnostic performance analysis of the FIB-6 index was conducted and compared with other non-invasive scores.

RESULTS

A total of 603 patients were included for the analysis; the area under the receiver operating characteristic curve (AUROC) of FIB-6 for the discrimination of patients with cirrhosis (F4), compensated advanced chronic liver disease (cACLD) (F3 and F4), and significant fibrosis (F2-F4) was 0.854, 0.812, and 0.745, respectively. The analysis using the optimal cut-offs of FIB-6 showed a sensitivity of 70.9%, specificity of 84.1%, positive predictive value (PPV) of 40.3%, and negative predictive value (NPV) of 95.0% for the diagnosis of cirrhosis. For the diagnosis of cACLD, the results were 71.5%, 69.3%, 40.8%, and 89.2%, respectively, while for the diagnosis of significant fibrosis, the results were 68.3%, 67.5%, 59.9%, and 75.0%, respectively. When compared to those of fibrosis 4 (FIB-4) index, aspartate aminotransferase (AST)-to-platelet ratio index (APRI), and AST-to-alanine aminotransferase (ALT) ratio (AAR), the AUROC for the performance of FIB-6 was higher than that of FIB-4, APRI, and AAR in all fibrosis stages. FIB-6 gave the highest sensitivity and NPV (89.1% and 92.4%) in ruling out cACLD and cirrhosis, as compared to FIB-4 (63.8% and 83.0%), APRI (53.9% and 86.6%), and AAR (47.5% and 82.3%), respectively.

CONCLUSIONS

The FIB-6 index could be used in ruling out cACLD, fibrosis, and cirrhosis with good reliability.

Noninvasive tests for liver fibrosis in 2024: are there different scales for different diseases?

Liver fibrosis is the common pathway from various chronic liver diseases and its progression leads to cirrhosis which carries a significant risk for the development of portal hypertension-related complications and hepatocellular carcinoma. It is crucial to identify and halt the worsening of liver fibrosis given its important prognostic implication. Liver biopsy is the gold standard for assessing the degree of liver fibrosis but is limited due to its invasiveness and impracticality for serial monitoring. Many noninvasive tests have been developed over the years trying to assess liver fibrosis in a practical and accurate way. The tests are mainly laboratory- or imaging-based, or in combination. Laboratory-based tests can be derived from simply routine blood tests to patented laboratory parameters. Imaging modalities include ultrasound and magnetic resonance elastography, in which vibration-controlled transient elastography is the most widely validated and adopted whereas magnetic resonance elastography has been proven the most accurate liver fibrosis assessment tool. Nonetheless, noninvasive tests do not always apply to all liver diseases, nor does a common cut-off value of a test mean the same degree of liver fibrosis in different scenarios. In this review, we discuss the diagnostic and prognostic performance, as well as the confounders and limitations, of different noninvasive tests on liver fibrosis assessment in various liver diseases.

Assessment of hepatic fibrosis with non-invasive indices in subjects with diabetes before and after liver transplantation

Introduction

One of the most common complications of cirrhosis is diabetes, which prevalence is strictly related to severity of hepatopathy. Actually, there are no data on the persistence of post-transplant glucose abnormalities and on a potential impact of diabetes on development of fibrosis in the transplanted liver. To this aim, we evaluated liver fibrosis in cirrhotic subjects before and after being transplanted.

Methods

The study included 111 individuals who had liver transplantation. The assessment was performed before and two years after surgery to investigate a potential impact of the persistence of diabetes on developing de novo fibrosis in the transplanted liver. The degree of fibrosis was assessed using the Fibrosis Index Based on 4 Factors (FIB-4) and the Aspartate to Platelet Ratio Index (APRI).

Results

At pre-transplant evaluation, 63 out of 111 (56.8%) subjects were diabetic. Diabetic subjects had higher FIB-4 (Geometric mean, 95% confidence interval: 9.74, 8.32-11.41 vs 5.93, 4.71-7.46, P<0.001) and APRI (2.04, 1.69-2.47 vs 1.18, 0.90-1.55, P<0.001) compared to non-diabetic subjects. Two years after transplantation, 39 out of 111 (35.1%) subjects remained with diabetes and continued to show significantly higher FIB-4 (3.14, 2.57-3.82 vs 1.87, 1.55-2.27, P<0.001) and APRI (0.52, 0.39-0.69 vs 0.26, 0.21-0.32, P<0.001) compared to subjects without diabetes.

Discussion

Thus, persistence of diabetes after surgery is a possible risk factor for an evolution to fibrosis in the transplanted liver, potentially leading to worsened long-term outcomes in this population.

Artificial Intelligence in Liver Diseases: Recent Advances

Liver diseases cause a significant burden on public health worldwide. In spite of great advances during recent years, there are still many challenges in the diagnosis and treatment of liver diseases. During recent years, artificial intelligence (AI) has been widely used for the diagnosis, risk stratification, and prognostic prediction of various diseases based on clinical datasets and medical images. Accumulative studies have shown its performance for diagnosing patients with nonalcoholic fatty liver disease and liver fibrosis and assessing their severity, and for predicting treatment response and recurrence of hepatocellular carcinoma, outcomes of liver transplantation recipients, and risk of drug-induced liver injury. Herein, we aim to comprehensively summarize the current evidence regarding diagnostic, prognostic, and/or therapeutic role of AI in these common liver diseases.

Exploring the Molecular Mechanisms and Shared Gene Signatures Between Systemic Lupus Erythematosus and Bladder Urothelial Carcinoma

Background

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease associated with increased susceptibility to cancer, including bladder urothelial carcinoma (BLCA). This study investigates the shared molecular mechanisms and gene signatures between SLE and BLCA, shedding light on potential biomarkers and therapeutic targets.

Methods

We compiled gene datasets related to SLE and BLCA from various databases and identified common genes. Differential gene expression analysis, protein-protein interaction networks, and hub gene identification were performed. We studied functional enrichment, immune infiltration, and transcription factor/miRNA regulation networks. We also explored gene-disease interactions and protein-chemical/drug networks. Hub gene expression levels and diagnostic values were validated in TCGA and GEO databases. Prognostic analysis was performed on the core gene MMP9 in the TCGA-BLCA database to study its prognostic value. Finally, the mRNA expression of MMP9 was verified in bladder cancer cell lines and BLCA patient blood. The diagnostic value of MMP9 for BLCA was verified by receiver operating characteristic(ROC) curve analysis of the expression of MMP9 in patients' blood.

Results

We identified 524 common genes between SLE and BLCA, enriched in pathways related to apoptosis and cytokine regulation. Immune infiltration analysis for two diseases. Transcription factors and microRNAs were implicated in regulating these common genes. The gene-disease network linked hub genes with various diseases, emphasizing their roles in autoimmune disease and cancer. Protein-chemical/drug networks highlighted potential treatment options. Finally, our study found that MMP9 is a potential therapeutic target with diagnostic and prognostic value and Immune-related biomarkers in patients with BLCA and SLE.

Conclusion

Our study reveals shared molecular mechanisms, genetic signatures, and immune infiltrates between SLE and BLCA. MMP9 emerges as a potential diagnostic and prognostic biomarker in BLCA, warranting further investigation. These findings provide insights into the pathogenesis of SLE-associated BLCA and may guide future research and therapeutic strategies.

Magnetic susceptibility and R2*-based texture analysis for evaluating liver fibrosis in chronic liver disease

PURPOSE

To explore potential feasibility of texture features in magnetic susceptibility and R2* maps for evaluating liver fibrosis.

METHODS

Thirty-one patients (median age 46 years; 22 male) with chronic liver disease were prospectively recruited and underwent magnetic resonance imaging (MRI), blood tests, and liver biopsy. Susceptibility and R2* maps were obtained using a 3-dimensional volumetric interpolated breath-hold examination sequence with a 3T MRI scanner. Texture features, including histogram, gray-level co-occurrence matrix (GLCM), gray-level dependence matrix (GLDM), gray-level run length matrix (GLRLM), gray-level size zone matrix (GLSZM), and neighboring gray tone difference matrix (NGTDM) features, were extracted. Texture features and blood test results of non-significant (Ishak-F < 3) and significant fibrosis patients (Ishak-F ≥ 3) were compared, and correlations with Ishak-F stages were analyzed. Areas under the curve (AUCs) were calculated to determine the efficacy for evaluating liver fibrosis.

RESULTS

Nine texture features of susceptibility maps and 19 features of R2* maps were significantly different between non-significant and significant fibrosis groups (all P < 0.05). Large dependence high gray-level emphasis (LDHGLE) of GLDM and long run high gray-level emphasis (LRHGLE) of GLRLM in R2* maps showed significantly negative and good correlations with Ishak-F stages (r = -0.616, P < 0.001; r = -0.637, P < 0.001). Busyness (NGTDM) in susceptibility maps, LDHGLE of GLDM and LRHGLE of GLRLM in R2* maps yield the highest AUCs (AUC = 0.786, P = 0.007; AUC = 0.807, P = 0.004; AUC = 0.819, P = 0.003).

CONCLUSION

Texture characteristics of susceptibility and R2* maps revealed possible staging values for liver fibrosis. Susceptibility and R2*-based texture analysis may be a useful and noninvasive method for staging liver fibrosis.

Identification of High-Risk Patients With Nonalcoholic Fatty Liver Disease in Endocrinology Clinics

The twin epidemics of obesity and type 2 diabetes continue to increase worldwide, so does the associated chronic liver disease, nonalcoholic fatty liver disease (NAFLD). Although NAFLD has been thought of as a benign liver disease, current evidence suggests that it is a complex liver disease that, for approximately 20% of patients, can progress to fibrosis, cirrhosis, hepatocellular carcinoma, liver transplant, and death. It is important to note that, given NAFLD's association with metabolic syndrome, the number one cause of death among those with NAFLD is related to cardiovascular diseases. In addition, NAFLD is associated with impaired patient-reported outcomes and a significant economic burden. As such, efforts are now aimed at using noninvasive tests (NITs) to identify patients with NAFLD and those who are at risk of liver disease progression and adverse outcomes in endocrinology practices whereby appropriate risk stratification and referrals can be undertaken. In this review, we discuss the most common NITs used and provide a simple clinically relevant algorithm using these NITs to identify patients with NAFLD who are at risk of adverse outcomes and subsequent clinical management and referral.

Noninvasive Fibrosis Assessment in Chronic Hepatitis C Infection: An Update

Liver biopsy is historically the gold standard for liver fibrosis assessment of chronic hepatitis C patients. However, with the introduction and validation of noninvasive tests (NITs) to evaluate advanced fibrosis, and the direct-acting antiviral agents for treatment of chronic hepatitis C virus (HCV), the role of NITs have become even more complex. There is now need for longitudinal monitoring and elucidation of cutoff values for prediction of liver-related complication after sustained virological response. The aim of this report is to provide a critical overview of the various NITs available for the assessment of liver fibrosis in HCV patients.

Differences in liver and mortality outcomes of non-alcoholic fatty liver disease by race and ethnicity: A longitudinal real-world study

BACKGROUND/AIMS

Understanding of nonalcoholic fatty liver disease (NAFLD) continues to expand, but the relationship between race and ethnicity and NAFLD outside the use of cross-sectional data is lacking. Using longitudinal data, we investigated the role of race and ethnicity in adverse outcomes in NAFLD patients.

METHODS

Patients with NAFLD confirmed by imaging via manual chart review from any clinics at Stanford University Medical Center (1995-2021) were included. Primary study outcomes were incidence of liver events and mortality (overall and non-liver related).

RESULTS

The study included 9,340 NAFLD patients: White (44.1%), Black (2.29%), Hispanic (27.9%), and Asian (25.7%) patients. For liver events, the cumulative 5-year incidence was highest among White (19.1%) patients, lowest among Black (7.9%) patients, and similar among Asian and Hispanic patients (~15%). The 5-year and 10-year cumulative overall mortality was highest for Black patients (9.2% and 15.0%, respectively, vs. 2.5-3.5% and 4.3-7.3% in other groups) as well as for non-liver mortality. On multivariable regression analysis, compared to White patients, only Asian group was associated with lower liver-related outcomes (aHR: 0.83, P=0.027), while Black patients were at more than two times higher risk of both non-liver related (aHR: 2.35, P=0.010) and overall mortality (aHR: 2.13, P=0.022) as well as Hispanic patients (overall mortality: aHR: 1.44, P=0.022).

CONCLUSION

Compared to White patients, Black patients with NAFLD were at the highest risk for overall and non-liver-related mortality, followed by Hispanic patients with Asian patients at the lowest risk for all adverse outcomes. Culturally sensitive and appropriate programs may be needed for more successful interventions.

A novel model predicted liver cirrhosis constructed by ultrasound and serological in autoimmune liver hepatitis

To establish a noninvasive model based on two-dimensional shear wave elasticity (2D-SWE) technology, ultrasound feature and serological indicators to predict cirrhosis in autoimmune hepatitis (AIH) and verified. Patients with AIH confirmed by liver biopsy with liver ultrasound and serological examination were collected from January 2019 to May 2022. Patients were divided into cirrhosis and non-cirrhosis groups. Basic indexes, ultrasound indexes and serological indexes were collected. Multivariable logistic regression used for screening independent risk factors predicting cirrhosis, construct the AIH cirrhosis prediction model, named autoimmune hepatitis cirrhosis (AIHC). Determine best cutoff score according to the Youden index, verified the model's predictive efficacy. One hundred forty-six patients were collected. The following indicators were independent risk factors for predicting cirrhosis: LS (OR: 1.416, P = .015), splenomegaly (OR: 10.446, P = .006), complement C4 (OR: 0.020, P = .009). The best cutoff score was 65, with a sensitivity 88.9% and specificity 75.6%; the area under curve was 0.901, AIHC possessed a higher net reclassification index (NRI) and integrated discrimination improvement compared with other indexes, and AIHC had the best clinical decision curve. The AIHC constructed in this study has better predictive efficacy than other noninvasive indexes, and we visualized the model for easy application, which was worth further promotion in clinical practice.

Diagnostic Role of Circulating miRNAs in the Grading of Chronic Hepatitis B-Related Liver Fibrosis: A Systematic Review and Meta-Analysis

OBJECTIVE

miRNAs are considered potential biomarkers that can be used for the grading of chronic hepatitis B (CHB)-related liver fibrosis. This meta-analysis aims to elucidate the diagnostic performance of miRNAs.

METHODS

Databases were used to search for meta-analyses. A bivariate model was used to calculate pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). In addition, the area under the summary receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated.

RESULTS

A total of 9 studies with 1159 patients with CHB-related liver fibrosis were assessed. For diagnosis of significant liver fibrosis, the pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.73 (95% CI, 0.68-0.78), 0.78 (95% CI, 0.70-0.84), 3.32 (95% CI, 2.52-4.37), 0.34 (95% CI, 0.30-0.39), 9.70 (95% CI, 7.10-13.24), and 0.81 (95% CI, 0.77-0.84), respectively.

CONCLUSION

miRNAs are potential biomarkers of CHB-related liver fibrosis.

Advances in application of novel magnetic resonance imaging technologies in liver disease diagnosis

Liver disease is a major health concern globally, with high morbidity and mor-tality rates. Precise diagnosis and assessment are vital for guiding treatment approaches, predicting outcomes, and improving patient prognosis. Magnetic resonance imaging (MRI) is a non-invasive diagnostic technique that has been widely used for detecting liver disease. Recent advancements in MRI technology, such as diffusion weighted imaging, intravoxel incoherent motion, magnetic resonance elastography, chemical exchange saturation transfer, magnetic resonance spectroscopy, hyperpolarized MR, contrast-enhanced MRI, and ra-diomics, have significantly improved the accuracy and effectiveness of liver disease diagnosis. This review aims to discuss the progress in new MRI technologies for liver diagnosis. By summarizing current research findings, we aim to provide a comprehensive reference for researchers and clinicians to optimize the use of MRI in liver disease diagnosis and improve patient prognosis.

Value of XGBoost machine learning model for diagnosis of hepatitis B cirrhosis

BACKGROUND

The progression of chronic hepatitis B into cirrhosis is slow and easily ignored, and the construction of a noninvasive diagnostic model for cirrhosis based on routine clinical indicators has become a hot research topic. However, there is still a lack of machine learning models regarding the early diagnosis of cirrhosis.

AIM

To investigate the performance of the extreme gradient boosting (XGBoost) machine model in the diagnosis of hepatitis B cirrhosis.

METHODS

A retrospective analysis was performed on 1087 patients with chronic hepatitis B virus infection (CHBV) diagnosed for the first time at the Department of Infection, The First/Second Affiliated Hospital of Anhui Medical University from 2010 to 2018. The patients were divided into training and validation sets in a 3:1 ratio according to the randomization principle. Clinical data of all study participants were collected and prediction models were constructed using XGBoost machine learning model. Meanwhile, the aspartate aminotransferase/platelet ratio index (APRI) and fibrosis-4 index (FIB-4) scores were calculated and compared with the XGBoost machine learning model. Area under the curve (AUC) was used to assess the model discrimination, and calibration curve (CA) and decision curve analysis (DCA) were used to assess the model calibration and benefit.

RESULTS

A total of 1087 CHBV patients were included, including 817 in the training set and 270 in the validation set. There was no statistical difference between the training and validation sets for all predictor variables (P > 0.05). Cirrhosis occurred in 103 patients in the training set, and APRI and FIB-4 scores were significantly higher in cirrhotic patients than in non-cirrhotic patients (P < 0.05). The relative importance of platelets was the highest among all predictors. The AUCs of the model in the training and validation sets were 0.95 and 0.86 (P < 0.05), respectively, and the Kappa values were 0.78 and 0.74, which suggested that the model was reproducible. CA curve analysis indicated that the model predicted a high degree of agreement with the true situation fit. DCA of the training and validation sets implied that the developed model could result in a high degree of benefit for patients. XGBoost machine learning model was significantly more efficient for the diagnosis of cirrhosis than APRI and FIB-4 scores.

CONCLUSION

The XGBoost machine learning model constructed in this study based on common clinical information of CHBV patients has an excellent performance for the diagnosis of cirrhosis and deserves further clinical promotion.

Diagnostic value of shear wave velocity measured by virtual touch tissue imaging quantification combined with hepatic blood flow index measured by single-photon emission computed tomography first-pass method for hepatitis B fibrosis

BACKGROUND

The degree of liver fibrosis in patients with chronic liver disease can be evaluated by combining single-photon emission computed tomography (SPECT) first-pass method to measure hepatic blood flow index with virtual touch tissue imaging quantification (VTIQ) to detect shear wave velocity (SWV).

AIM

To evaluate the clinical value of VTIQ combined with SPECT first-pass method for the diagnosis of liver fibrosis in patients with chronic hepatitis B (CHB).

METHODS

Forty-two CHB patients with liver fibrosis at our hospital from August 2020 to August 2021 were selected as a study group, and another 42 patients with CHB without hepatic fibrosis were selected as a control group. VTIQ was performed to obtain the shear wave transverse velocity (SWV), and SPECT examination was performed to obtain liver blood flow index. General data, routine blood indexes [white blood cell count (WBC), absolute monocyte count (AMC), and neutrophil count (NEUT)], blood coagulation function [prothombin time (PT) and prothrombin activity (PTA)], liver function indexes [total bilirubin (TBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), and albumin (ALB)] and SWV, and liver blood flow index were compared between the two groups. The degree of liver fibrosis in the study group was determined through liver tissue pathology, and SWV and liver blood flow index were compared among patients with different liver fibrosis degrees. Spearman correlation coefficient was used to assess the correlation of SWV and liver blood flow index with CHB liver fibrosis degree. The value of SWV and liver blood flow index in diagnosing CHB liver fibrosis was assessed by receiver operating characteristic (ROC) curve analysis.

RESULTS

The SWV and liver blood flow index of the study group were significantly higher than those of the control group (P < 0.05). The SWV and hepatic blood flow index were significantly higher in patients with liver fibrosis grade S3-S4 in the study group than in those with grade S1-S2, and and in those with grade S2 than in those with grade S1 (P < 0.05). SWV and liver blood flow index were positively correlated with CHB liver fibrosis degree (P < 0.05). The area under the curve (AUC) values of SWV and liver blood flow index, alone or in combination, for the diagnosis of CHB liver fibrosis were all > 0.7, and the AUC of the combination was the largest (0.930).

CONCLUSION

SWV measured by VTIQ combined with liver blood flow index measured by SPECT has appreciated value in the diagnosis of CHB liver fibrosis and in the assessment of the degree of liver fibrosis.

Association of serum uric acid with hepatic steatosis detected by controlled attenuation parameter in the United States population

BACKGROUND

The relationship between serum uric acid (SUA) and nonalcoholic fatty liver disease (NAFLD) has been previously reported. Controlled attenuation parameter (CAP) has better diagnostic performance than ultrasonography for assessing hepatic steatosis. The association of SUA with hepatic steatosis detected by CAP is worth further study.

METHODS

The US population aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) was assessed. Hepatic steatosis was evaluated by the controlled attenuation parameter (CAP). NAFLD status was defined as CAP values of 268 dB/m without hepatitis B or C virus infection or considerable alcohol consumption. Multiple imputations were performed to fill in the missing covariate values. Linear regression, logistic regression, and smooth curve fitting were used to examine the association.

RESULTS

In total, 3919 individuals participated in this study. There was a positive association between SUA (µmol/L) and CAP (β = 0.14, 95% CI: 0.12-0.17, P < 0.01). After stratification by sex, a significant relationship between SUA and CAP existed in both males (β = 0.12, 95% CI: 0.09-0.16, P < 0.01) and females (β = 0.17, 95% CI: 0.14-0.20, P < 0.01) after multiple imputation. The inflection points of the threshold effect of SUA on CAP were 487.7 µmol/L in males and 386.6 µmol/L in females. There was a positive association between SUA (mg/dL) and NAFLD (OR = 1.30, 95% CI: 1.23-1.37, P < 0.01). After stratification by race, positive relationships were also observed. Meanwhile, a positive relationship existed between hyperuricemia and NAFLD (OR = 1.94, 95% CI: 1.64-2.30, P < 0.01). The positive relationship was more significant in females than in males (P for interaction < 0.01).

CONCLUSIONS

There was a positive association between SUA and CAP, as well as between SUA and NAFLD. Subgroup studies stratified by sex and ethnicity demonstrated that the effects were consistent.

Elastography of the Liver in Wilson's Disease

Staging of liver fibrosis is of special significance in Wilson's disease as it determines the patient's prognosis and treatment. Histopathological examination is a standard method for fibrosis assessment; however, non-invasive methods like transient elastography and share wave elastography are believed to be reliable and repetitive and are expected to replace liver biopsy in Wilson's disease. This article presents a short description of available elastography techniques and the results of the most recent studies on elastography of the liver in patients with Wilson's disease.

Treatment of Liver Fibrosis after Hepatitis B with TCM Combined with NAs Evaluated by Noninvasive Diagnostic Methods: A Retrospective Study

Objective. Chronic hepatitis B liver fibrosis is an important intermediate link in the development of liver cirrhosis. A retrospective cohort study was conducted in Longhua Hospital affiliated to the Shanghai University of Traditional Chinese Medicine in order to prove whether integrated traditional Chinese and Western medicine could improve the incidence of CHB complications and clinical prognosis. There are 130 patients with hepatitis B liver fibrosis (being treated from 2011-2021) included in the study, and the patients were divided into 64 TCM users (NAs combined with TCM) and 66 TCM nonusers (NAs antiviral therapy). The serum noninvasive diagnostic model (APRI, FIB-4) and LSM value were used to classify the stages of fibrosis. The results showed that the LSM value was decreased significantly in TCM users compared with TCM nonusers (40.63% versus 28.79%). Indicators of FIB-4 and APRI of TCM users have improved significantly compared with that of TCM nonusers (32.81% versus 10.61% and 35.94% versus 24.24%). The AST, TBIL, and HBsAg levels in TCM users were lower than those in TCM nonusers, and the HBsAg level was inversely correlated with the CD3+, CD4+, and CD8+ in TCM users. The PLT and spleen thickness of TCM users also were improved considerably. The incidence rate of end-point events (decompensated cirrhosis/liver cancer) in TCM nonusers was higher than that of TCM users (16.67% versus 1.56%). The long course of the disease and a family history of hepatitis B were the risk factors for disease progression, and long-term oral administration of TCM was the protective factor. As a result, the serum noninvasive fibrosis index and imaging parameters in TCM users were lower than those of TCM nonusers. Patients in the treatment of NAs combined with TCM had better prognoses such as a lower HBsAg level, a more stable lymphocyte function, and a lower incidence of end-point events. The present findings suggest the effect of TCM combined with NAs in the treatment of chronic hepatitis B liver fibrosis is better than that of single drug treatment.

Liver stiffness-spleen diameter to platelet ratio score (LSPS model) predicts variceal rebleeding for cirrhotic patients

PURPOSE

The liver stiffness- spleen diameter to platelet ratio score (LSPS model) can identify a high risk of decompensated events in cirrhotic patients. We aimed to evaluate the value of the LSPS model as a risk stratification strategy in the secondary prevention for cirrhotic patients with esophageal and gastric variceal bleeding (EGVB).

METHODS

Consecutive EGVB patients who underwent liver stiffness measurement by acoustic radiation force impulse, platelet count and ultrasonography were enrolled between January 2013 and December 2019. We calculated the LSPS of all patients and followed up for over 2 years. The primary outcome was rebleeding. Transplant-free survival and overt hepatic encephalopathy (OHE) were the secondary outcomes.

RESULTS

A total of 131 patients were analyzed. The median value of the LSPS model is 0.1879. We developed risk stratification based on the LSPS model and divided the patients into two groups: the high-LSPS (LSPS > 0.1879) group and the low-LSPS (LSPS ≤ 0.1879) group. Sixty-two (47.33%) patients suffered rebleeding, in which there were 21 (31.92%) patients with low LSPS and 41 (63.08%) patients with high LSPS (hazard ratio 2.883; 95% confidence interval, 1.723-4.822, P  < 0.001). For the whole cohort, the rates of transplant-free survival and OHE were consistently similar between the two groups at 2 years.

CONCLUSION

The LSPS is a reliable, noninvasive method for the detection of a high risk of rebleeding for the secondary prevention of EGVB.

Diagnostic performance of Mac-2-binding protein glycosylation isomer (M2BPGi) as a liver fibrosis marker in chronic hepatitis C patients with chronic kidney disease on hemodialysis

BACKGROUND/AIM

Liver fibrosis assessment is essential to determine the initiation, duration, and evaluation of chronic hepatitis C treatment. Therefore, the study aimed to assess the role of Mac-2-binding protein glycosylation isomer (M2BPGi) as a biomarker to measure liver fibrosis in chronic hepatitis C patients with chronic kidney disease on hemodialysis.

METHODS

This study used a cross-sectional design. Serum M2BPGi level and transient elastography results were evaluated in 102 chronic hepatitis C patients with CKD on HD, 36 CKD on HD patients, and 48 healthy controls. ROC analysis was conducted to identify the optimal cutoff values to assess significant fibrosis and cirrhosis among chronic hepatitis C patients with CKD on HD.

RESULTS

In chronic hepatitis C patients with CKD on HD, the level of serum M2BPGi had a moderately significant correlation with transient elastography (r = 0.447, p < 0.001). The median serum M2BPGi was higher among CKD on HD patients compared to healthy controls (1.260 COI vs. 0.590 COI, p < 0.001) and was even higher in chronic hepatitis C patients with CKD on HD compared to CKD on HD group (2.190 COI vs. 1.260 COI, p < 0.001). It is also increased according to the severity of liver fibrosis: 1.670 COI, 2.020 COI, and 5.065 COI for F0-F1, significant fibrosis, and cirrhosis, respectively. The optimal cutoff values for diagnosing significant fibrosis and cirrhosis were 2.080 and 2.475 COI, respectively.

CONCLUSION

Serum M2BPGi could be a simple and reliable diagnostic tool for evaluating cirrhosis in chronic hepatitis C patients with CKD on HD.

Binge drinking does not appear to have an adverse effect on non-alcoholic fatty liver disease: Findings from a study of four First Nations communities

BACKGROUND: Binge drinking and non-alcoholic fatty liver disease (NAFLD) are common health problems throughout the world. However, the impact of binge drinking on NAFLD has yet to be described. The objective of this study was to document the extent of liver disease in community-based NAFLD patients who self-reported monthly binge drinking and compare the findings to NAFLD patients from the same communities who denied binge drinking (controls). METHODS: The study was undertaken in four Manitoba First Nations communities where the sale and consumption of alcoholic beverages are prohibited but visits to urban centres are common. Binge drinkers were retrospectively matched 1:2 by age, sex, and body mass index (BMI) with controls. NAFLD was diagnosed by ultrasonographic features of excess fat in the liver in individuals with no alternative, non-metabolic explanation for fatty infiltration of the liver. Hepatic inflammation and function were determined by standard liver biochemistry testing and fibrosis by FIB-4 levels and hepatic elastography. RESULTS: Of 546 NAFLD patients, 88 (16%) attested to binge drinking. The mean age of binge drinkers was 40 (SD 13) years; 51% were male; and the mean BMI was 34 (SD 7). Compared with controls, binge drinkers had similar liver biochemistry results (alanine and aspartate aminotransferases: 41 [SD 39] and 36 [SD 30] versus 36 [SD 36] and 31 [SD 27] U/L, p = 0.35 and p = 0.37, respectively), FIB-4 values (0.75 [SD 0.55] versus 0.72 [SD 0.44], p = 0.41, respectively), and hepatic elastrography (6.6 [SD 3.9] versus 6.2 [SD 2.9] kPa, p = 0.37, respectively) findings. CONCLUSIONS: In this study population, monthly binge drinking did not appear to impact the severity of NAFLD.

A practical use of noninvasive tests in clinical practice to identify high-risk patients with nonalcoholic steatohepatitis

BACKGROUND

Patients with nonalcoholic fatty liver disease (NAFLD) with type 2 diabetes (T2D) or other components of metabolic syndrome are at high risk for disease progression. We proposed an algorithm to identify high-risk NAFLD patients in clinical practice using noninvasive tests (NITs).

METHODS

Evidence about risk stratification of NAFLD using validated NITs was reviewed by a panel of NASH Experts. Using the most recent evidence regarding the performance of NITs and their application in clinical practice were used to develop an easy-to-use algorithm for risk stratification of NAFLD patients seen in primary care, endocrinology and gastroenterology practices.

RESULTS

The proposed algorithm uses a three-step process to identify NAFLD patients who are potentially at high risk for adverse outcomes. The first step is to use clinical data to identify most patients who are at risk for having potentially progressive NAFLD (e.g. having T2D or multiple components of metabolic syndrome). The second step is to calculate the FIB-4 score as a NIT that can further risk stratifying individuals who are at low risk for progressive liver disease and can be managed by their primary healthcare providers to manage their cardiometabolic comorbidities. The third step is to use second-line NITs (transient elastography or enhanced liver fibrosis tests) to identify those who at high risk for progressive liver disease and should be considered for specially care by providers with NASH expertise.

CONCLUSIONS

The use of this simple clinical algorithm can identify and assist in managing patients with NAFLD at high risk for adverse outcomes.

Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease: The Prognostic Role of Liver Stiffness Measurement

Nonalcoholic fatty liver disease (NAFLD), which is nowadays the most common etiology of chronic liver disease, is associated with an increased risk of hepatocellular carcinoma (HCC), with or without cirrhosis. Owing to the high prevalence of NAFLD worldwide, it becomes crucial to develop adequate strategies for surveillance of HCC and new prediction models aiming at stratifying NAFLD population for HCC risk. To this purpose, several noninvasive tests (NITs) have been proposed in the several last years, including clinical parameters, serum biomarkers, and imaging techniques. Most of these tools are focused on the assessment of liver fibrosis. Both ultrasound (US) elastography (especially transient elastography) and magnetic resonance (MR) elastography have been evaluated to estimate HCC risk in NAFLD patients. Recently, the American Association for the Study of Liver Diseases (AASLD) and the European Association for the Study of the Liver (EASL) include these techniques among the recommended NITs for the assessment of liver fibrosis. The aim of this review is to summarize the most recent data on the role of US and MR elastography in HCC risk stratification in patients with NAFLD.

T 1-T 2 dual-modal magnetic resonance contrast-enhanced imaging for rat liver fibrosis stage

The development of an effective method for staging liver fibrosis has always been a hot topic of research in the field of liver fibrosis. In this paper, PEGylated ultrafine superparamagnetic iron oxide nanocrystals (SPIO@PEG) were developed for T ₁-T ₂ dual-modal contrast-enhanced magnetic resonance imaging (MRI) and combined with Matrix Laboratory (MATLAB)-based image fusion for staging liver fibrosis in the rat model. Firstly, SPIO@PEG was synthesized and characterized with physical and biological properties as a T ₁-T ₂ dual-mode MRI contrast agent. Secondly, in the subsequent MR imaging of liver fibrosis in rats in vivo, conventional T ₁ and T ₂-weighted imaging, and T ₁ and T ₂ mapping of the liver pre- and post-intravenous administration of SPIO@PEG were systematically collected and analyzed. Thirdly, by creative design, we fused the T ₁ and T ₂ mapping images by MATLAB and quantitively measured each rat's hepatic fibrosis positive pixel ratio (PPR). SPIO@PEG was proved to have an ultrafine core size (4.01 ± 0.16 nm), satisfactory biosafety and T ₁-T ₂ dual-mode contrast effects under a 3.0 T MR scanner (r ₂/r ₁ = 3.51). According to the image fusion results, the SPIO@PEG contrast-enhanced PPR shows significant differences among different stages of liver fibrosis (P < 0.05). The combination of T ₁-T ₂ dual-modal SPIO@PEG and MATLAB-based image fusion technology could be a promising method for diagnosing and staging liver fibrosis in the rat model. PPR could also be used as a non-invasive biomarker to diagnose and discriminate the stages of liver fibrosis.

Serological indices and ultrasound variables in predicting the staging of hepatitis B liver fibrosis: A comparative study based on random forest algorithm and traditional methods

Objective

To compare the diagnostic efficacy of serological indices and ultrasound (US) variables in hepatitis B virus (HBV) liver fibrosis staging using random forest algorithm (RFA) and traditional methods.

Methods

The demographic and serological indices and US variables of patients with HBV liver fibrosis were retrospectively collected and divided into serology group, US group, and serology + US group according to the research content. RFA was used for training and validation. The diagnostic efficacy was compared to logistic regression analysis (LRA) and APRI and FIB-4 indices.

Results

For the serology group, the diagnostic performance of RFA was significantly higher than that of APRI and FIB-4 indices. The diagnostic accuracy of RFA in the four classifications (S0S1/S2/S3/S4) of the hepatic fibrosis stage was 79.17%. The diagnostic accuracy for significant fibrosis (≥S2), advanced fibrosis (≥S3), and cirrhosis (S4) was 87.99%, 90.69%, and 92.40%, respectively. The area under the curve (AUC) values were 0.945, 0.959, and 0.951, respectively. For the US group, there was no significant difference in diagnostic performance between RFA and LRA. The diagnostic performance of RFA in the serology + US group was significantly better than that of LRA. The diagnostic accuracy of the four classifications (S0S1/S2/S3/S4) of the hepatic fibrosis stage was 77.21%. The diagnostic accuracy for significant fibrosis (≥S2), advanced fibrosis (≥S3), and cirrhosis (S4) was 87.50%, 90.93%, and 93.38%, respectively. The AUC values were 0.948, 0.959, and 0.962, respectively.

Conclusion

RFA can significantly improve the diagnostic performance of HBV liver fibrosis staging. RFA based on serological indices has a good ability to predict liver fibrosis staging. RFA can help clinicians accurately judge liver fibrosis staging and reduce unnecessary biopsies.

Comprehensive bioinformatics and machine learning analysis identify VCAN as a novel biomarker of hepatitis B virus-related liver fibrosis

Hepatitis B virus (HBV) infection remains the leading cause of liver fibrosis (LF) worldwide, especially in China. Identification of decisive diagnostic biomarkers for HBV-associated liver fibrosis (HBV-LF) is required to prevent chronic hepatitis B (CHB) from progressing to liver cancer and to more effectively select the best treatment strategy. We obtained 43 samples from CHB patients without LF and 81 samples from CHB patients with LF (GSE84044 dataset). Among these, 173 differentially expressed genes (DEGs) were identified. Functional analysis revealed that these DEGs predominantly participated in immune-, extracellular matrix-, and metabolism-related processes. Subsequently, we integrated four algorithms (LASSO regression, SVM-RFE, RF, and WGCNA) to determine diagnostic biomarkers for HBV-LF. These analyses and receive operating characteristic curves identified the genes for phosphatidic acid phosphatase type 2C (PPAP2C) and versican (VCAN) as potentially valuable diagnostic biomarkers for HBV-LF. Single-sample gene set enrichment analysis (ssGSEA) further confirmed the immune landscape of HBV-LF. The two diagnostic biomarkers also significantly correlated with infiltrating immune cells. The potential regulatory mechanisms of VCAN underlying the occurrence and development of HBV-LF were also analyzed. These collective findings implicate VCAN as a novel diagnostic biomarker for HBV-LF, and infiltration of immune cells may critically contribute to the occurrence and development of HBV-LF.

The gamma-glutamyl transferase to platelet ratio for noninvasive evaluation of liver fibrosis in patients with primary biliary cholangitis

The gamma-glutamyl transferase to platelet ratio (GPR) has been reported to be as effective as the aspartate transaminase to platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4) in showing the fibrosis stage in patients with chronic hepatitis B. It has been demonstrated that APRI and FIB-4 are successful in the assessment of fibrosis in primary biliary cholangitis (PBC). We investigated the effectiveness of GPR in predicting advanced fibrosis and cirrhosis in patients with biopsy-proven untreated PBC. A total of 35 patients with biopsy-proven PBC were included in this study. The biopsy fibrosis stages of all patients at diagnosis were compared using the APRI, FIB-4, and GPR values. The diagnostic accuracy of GPR for detecting advanced fibrosis and cirrhosis was also investigated. The area under the receiver operating characteristic curve (AUROC) of GPR was 0.84, the cutoff point was 4.81, the sensitivity was 0.41, and the specificity was 0.96 for detecting advanced fibrosis. Our study showed that GPR was more sensitive than APRI and FIB-4 in detecting advanced fibrosis in patients with PBC. GPR could be used as an effective noninvasive marker in PBC to show advanced fibrosis at the time of diagnosis.

Activation of Piezo1 contributes to matrix stiffness-induced angiogenesis in hepatocellular carcinoma

BACKGROUND

Despite integrin being highlighted as a stiffness-sensor molecule in matrix stiffness-driven angiogenesis, other stiffness-sensor molecules and their mechanosensory pathways related to angiogenesis in hepatocellular carcinoma (HCC) remain obscure. Here, we explored the interplay between Piezo1 and integrin β1 in the mechanosensory pathway and their effects on HCC angiogenesis to better understand matrix stiffness-induced angiogenesis.

METHODS

The role of Piezo1 in matrix stiffness-induced angiogenesis was investigated using orthotopic liver cancer SD rat models with high liver stiffness background, and its clinical significance was evaluated in human HCC tissues. Matrix stiffness-mediated Piezo1 upregulation and activation were assayed using an in vitro fibronectin (FN)-coated cell culture system with different stiffness, Western blotting and Ca²⁺ probe. The effects of shPiezo1-conditioned medium (CM) on angiogenesis were examined by tube formation assay, wound healing assay and angiogenesis array. The underlying mechanism by which Piezo1 participated in matrix stiffness-induced angiogenesis was analyzed by microRNA quantitative real-time polymerase chain reaction (qRT-PCR), matrix stiffness measurement, dual-luciferase reporter assay, ubiquitination assay and co-immunoprecipitation.

RESULTS

Increased matrix stiffness significantly upregulated Piezo1 expression at both cellular and tissue levels, and high expression of Piezo1 indicated an unfavorable prognosis. High matrix stiffness also noticeably enhanced the activation level of Piezo1, similar to its expression level. Piezo1 knockdown significantly suppressed tumor growth, angiogenesis, and lung metastasis of HCC rat models with high liver stiffness background. shPiezo1-CM from HCC cells attenuated tube formation and migration abilities of vascular endothelial cells remarkably, and analysis of differentially expressed pro-angiogenic factors revealed that Piezo1 promoted the expression and secretion of vascular endothelial growth factor (VEGF), CXC chemokine ligand 16 (CXCL16) and insulin-like growth factor binding protein 2 (IGFBP2). Matrix stiffness-caused Piezo1 upregulation/activation restrained hypoxia inducible factor-1α (HIF-1α) ubiquitination, subsequently enhanced the expression of downstream pro-angiogenic factors to accelerate HCC angiogenesis. Besides, collagen 1 (COL1)-reinforced tissue stiffening resulted in more expression of Piezo1 via miR-625-5p.

CONCLUSIONS

This study unravels a new mechanism by which the integrin β1/Piezo1 activation/Ca²⁺ influx/HIF-1α ubiquitination/VEGF, CXCL16 and IGFBP2 pathway participates in matrix stiffness-driven HCC angiogenesis. Simultaneously, a positive feedback regulation loop as stiff matrix/integrin β1/miR-625-5p/Piezo1 and COL1/stiffer matrix mediates matrix stiffness-caused Piezo1 upregulation.

Noninvasive surrogates are poor predictors of liver fibrosis in patients with Fontan circulation

OBJECTIVES

Patients with Fontan circulation exhibit a high incidence of liver fibrosis and cirrhosis. Transient elastography (TE) and the enhanced liver fibrosis (ELF) test have proven useful as noninvasive surrogate markers of liver fibrosis for other chronic liver diseases. We evaluated whether TE and the ELF score can predict the degree of liver fibrosis in patients with Fontan circulation.

METHODS

We retrospectively reviewed the medical records of 45 adult patients with at least 10 years of Fontan duration who had undergone liver biopsy and investigated the relation between the fibrosis stage and TE and the ELF test results. Additionally, the association of these variables and other biochemical and hemodynamic parameters was assessed.

RESULTS

The mean age was 25.9 years and the mean Fontan duration was 20.8 years. Advanced liver fibrosis was present in 36 (80.0%) patients. TE or ELF score are comparable for patients with and without advanced liver fibrosis (mean 23.3 vs 24.8 kPa [P = .85] for TE; mean 8.94 vs 9.25 [P = .44] for the ELF score). However, N-terminal pro-brain natriuretic peptide level and ventricular end-diastolic pressure were higher in patients with advanced liver fibrosis (mean 224 vs 80 pg/mL [P < .01]; and mean 12 vs 9 mm Hg [P = .04], respectively). No independent predictor of advanced liver fibrosis was found in multivariate analysis.

CONCLUSIONS

TE and the ELF score were unable to predict the degree of liver fibrosis in Fontan patients. Liver biopsy remains as the only valid method to assess fibrotic burden in this population.

Diagnostic accuracy of apparent diffusion coefficient values combined with γ-glutamyl transpeptidase-to-platelet ratio parameters for predicting hepatitis B-related fibrosis

OBJECTIVES

The accuracy of non-invasive liver fibrosis diagnosis based on the apparent diffusion coefficient (ADC) value combined with the γ-glutamyl transpeptidase-to-platelet ratio (GPR) model to predict the stage of hepatitis B-related fibrosis has not been reported. This study aimed to evaluate the diagnostic efficacy of ADC value combined with GPR for liver fibrosis grading.

METHODS

The data of 180 patients with chronic hepatitis B (CHB) diagnosed by liver biopsy were analyzed. The ADC value, GPR, and their combination were assessed in different cirrhosis stages using receiver operating characteristic curve analysis to evaluate their value in diagnosing liver fibrosis.

RESULTS

We observed that liver fibrosis stages were inversely associated with ADC values (r=-0.691, P<0.001), and positively associated with GPR (r=0.502, P<0.001). The area under the curve for diagnostic efficacy of ADC values, GPR, and their combination for F≥2 liver fibrosis was 0.831, 0.749, and 0.858, respectively, and for F≥3 was 0.872, 0.771, and 0.903, respectively. The diagnostic cutoffs of the combination for each stage were -7.07, -12.21 and -37.75, respectively.

CONCLUSIONS

The combined diagnostic tool of ADC and GPR may improve the accuracy of hepatitis B-related liver fibrosis diagnosis, especially for F≥3.

Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES

Background

Prevention and treatment of liver fibrosis at an early stage is of great prognostic importance, whereas changes in liver stiffness are often overlooked in patients before the onset of obvious clinical symptoms. Recognition of liver fibrosis at an early stage is therefore essential.

Objective

An XGBoost machine learning model was constructed to predict participants' liver stiffness measures (LSM) from general characteristic information, blood test metrics and insulin resistance-related indexes, and to compare the fit efficacy of different datasets for LSM.

Methods

All data were obtained from the National Health and Nutrition Examination Survey (NHANES) for the time interval January 2017 to March 2020. Participants' general characteristics, Liver Ultrasound Transient Elastography (LUTE) information, indicators of blood tests and insulin resistance-related indexes were collected, including homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic score for insulin resistance (METS-IR). Three datasets were generated based on the above information, respectively named dataset A (without the insulin resistance-related indexes as predictor variables), dataset B (with METS-IR as a predictor variable) and dataset C (with HOMA-IR as a predictor variable). XGBoost regression was used in the three datasets to construct machine learning models to predict LSM in participants. A random split was used to divide all participants included in the study into training and validation cohorts in a 3:1 ratio, and models were developed in the training cohort and validated with the validation cohort.

Results

A total of 3,564 participants were included in this study, 2,376 in the training cohort and 1,188 in the validation cohort, and all information was not statistically significantly different between the two cohorts (p > 0.05). In the training cohort, datasets A and B both had better predictive efficacy than dataset C for participants' LSM, with dataset B having the best fitting efficacy [±1.96 standard error (SD), (-1.49,1.48) kPa], which was similarly validated in the validation cohort [±1.96 SD, (-1.56,1.56) kPa].

Conclusions

XGBoost machine learning models built from general characteristic information and clinically accessible blood test indicators are practicable for predicting LSM in participants, and a dataset that included METS-IR as a predictor variable would improve the accuracy and stability of the models.

Diagnostic Performance of Acoustic Radiation Force Impulse Imaging in Evaluating Liver Fibrosis in Patients with Chronic Hepatitis B Infection: A Cross-Sectional Study

Background  Acoustic radiation force impulse point shear wave elastography (ARFI-pSWE), measuring shear-wave velocity (SWV), has been utilized to examine the liver stiffness caused by different etiologies. However, information on its reliability in staging liver fibrosis in chronic hepatitis B (CHB) patients is scarce.

Purpose  The aim of the study is to examine the diagnostic performance of ARFI-pSWE and determine the optimal SWV cut-off values to predict significant fibrosis ( F ≥2) and cirrhosis (F4) in CHB patients.

Material and Methods  All 114 adult CHB patients visiting the University Medical Center, Ho Chi Minh City, Vietnam between February 2019 and March 2021 underwent liver stiffness measurement using ARFI-pSWE and FibroScan. SWV results were tested against FibroScan for sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The area under the receiver operating characteristic (AUROC) curve was used to identify the optimal SWV cut-off values.

Results  There was a strong agreement between ARFI-pSWE and FibroScan ( r  = 0.92, p <0.001). The optimal SWV cut-off value for detecting significant fibrosis was 1.37 m/s with an AUROC of 0.975, sensitivity of 83.3%, specificity of 100%, PPV of 100%, and NPV of 81%. The optimal cut-off value for predicting cirrhosis was 1.70 m/s with an AUROC of 0.986, sensitivity of 97%, specificity of 93%, PPV of 95%, and NPV of 96%.

Conclusion  ARFI-pSWE could be an effective technique for evaluating liver fibrosis in CHB patients. SWV cut-off values of 1.37 and 1.70 m/s could be used to diagnose significant fibrosis and cirrhosis, respectively.

Associations between sex hormones and metabolic-associated fatty liver disease in a middle-aged and elderly community

Metabolic-associated fatty liver disease (MAFLD) was proposed by an international expert consensus to replace non-alcoholic fatty liver disease (NAFLD) in 2020. Previous studies have shown that sex hormones are strongly linked to NAFLD development. This study aims to explore whether sex hormones are associated with MAFLD and liver fat content (LFC) in a middle-aged and elderly community. The study included 732 subjects aged 50-80 years enrolled from communities. MAFLD was diagnosed using the 2020 International Expert Consensus. LFC was calculated using parameters from abdominal ultrasound images. Serum estradiol (E2), total testosterone (TT), sex hormone-binding globulin (SHBG), FSH, and LH were measured by chemiluminescent microparticle immunoassay. MAFLD was diagnosed in 107/304 (35.2%) men and 154/428 (35.2%) women. After adjustments for confounding factors, logistic regression analysis showed that SHBG was negatively correlated with MAFLD in men (OR, 0.95 [0.93-0.97], p < 0.001). In women, SHBG and FSH were negatively correlated with MAFLD (OR, 0.95 [0.94-0.97], p < 0.001; OR, 0.97 [0.96-0.98], p < 0.001). Multivariate linear regression analysis showed that SHBG was a negative factor for LFC in both men (standardized β = -0.188, p < 0.001) and women (standardized β = -0.184, p < 0.001). FSH was a negative factor for LFC in women (standardized β = -0.082, p = 0.046). SHBG was negatively correlated with MAFLD in middle-aged and elderly men and women. Moreover, FSH was negatively correlated, and bioactive testosterone was positively correlated with MAFLD in women. These findings suggest a relationship between sex hormones and MAFLD.

Enhanced liver fibrosis score as a noninvasive biomarker in hepatitis C virus patients after direct-acting antiviral agents

Background: In more than 90% of chronic viral hepatitis C (HCV) patients treated with direct-acting antiviral agents (DAAs), a sustained viral response (SVR) was observed. Unfortunately, there are subgroups of subjects who display enduring liver fibrosis and are at high risk of developing hepatocellular carcinoma (HCC). Thus, liver fibrosis evaluation during the follow-up of these patients plays a pivotal role. The gold standard to evaluate hepatic fibrosis is liver biopsy, which is an invasive procedure. Imaging techniques and serum biomarkers have been proposed as safer and cheaper procedures.

Objectives: In this study, we evaluated the concordance of transient elastography (TE) with ELF score ( enhanced liver fibrosis) in a cohort of patients with HCV before and after direct-acting antiviral (DAAs) treatment. ELF score has been validated in other chronic liver diseases; the evidence is not available in HCV patients treated with DAAs.

Study design: We prospectively recruited all consecutive HCV patient candidates for DAAs therapy at the University of Naples “Federico II” between April 2015 and July 2016. TE and ELF scores were assessed at baseline, at SVR24, and at SVR48.

Results: One-hundred-nineteen patients were treated with DAAs, and 94.1% of them reached SVR. A total of 55.5% of patients were males with a mean age of 64.7 ± 9.6 years. TE results revealed that 12 patients (10%) had F1-2 mild/moderate fibrosis, and 107 (90%) had F3-4 advanced fibrosis. At baseline, SVR24, and SVR48, the concordance between ELF test and TE was poor: 0.11 (p = 0.086), 0.15 (p = 0.124), and 0.034 (p = 0.002), respectively. However, at SVR24 and SVR48, both methods showed a significant amelioration of liver fibrosis compared to baseline (p < 0.001). In addition, both ELF index and TE were significantly associated with portal hypertension at baseline, but not with varices and ascites.

Conclusions: Our findings suggested that ELF test could predict changes in liver fibrosis, independently of TE. In case of TE unavailability, ELF score could represent an appropriate tool. Notably, in the context of the COVID-19 pandemic, ELF testing should be encouraged to reduce unnecessary access to the hospital and prolonged physical contact.

Transient Elastography and Serum-Based Tests for Diagnosis of Fatty Liver and Advanced Fibrosis in a Community Cohort: A Cross-Sectional Analysis

BACKGROUND

Noninvasive tests (NITs) are necessary for knowing the true prevalence of fatty liver (FL) and advanced fibrosis. NITs for diagnosis of FL and fibrosis were compared.

METHODS

Data were obtained from the National Health and Examination Survey (2017-2018). Participants were excluded with other liver diseases, missing data for NIT calculation, and/or excessive alcohol use. Area under the receiver operating characteristic (AUROC) compared the accuracy of 4 FL NITs (CAP, HSI, FLI, USFLI) among themselves and to CAP value of 285 dB/m and 5 fibrosis NITs (transient elastography, APRI, NFS, FIB-4, HEPAmet) among themselves and to LSM ≥8.7 kPa.

RESULTS

Among 2,051 participants (average age 47 (±17.7), 48% males, 62% white, 73% overweight/obese, 39% metabolic syndrome), demographics were similar among NIT groups (CAP = 812; HSI = 1,234; FLI = 935; USFLI-824). FL prevalence by NIT: 39% CAP, 58% HSI, 47% FLI, 37% USFLI. Advanced fibrosis prevalence by test: LSM (≥8.7 kPa) 10-14%; FIB-4 (≥2.67) and APRI (≥0.7) 1.3-2.7%; HEPAmet (>0.47) 14-21%. Compared to CAP ≥285, FLI (AUROC = 0.823) and USFLI (AUROC = 0.833) performed better than HSI (AUROC: 0.798). Compared to LSM ≥8.7 kPa, only NFS (AUROC = 0.722) performed well (FIB-4 AUROC = 0.606; APRI = 0.647; HEPAmet = 0.629). Among the CAP cohort, the strongest FL predictor was obesity (OR: 15.2, 95% CI: 7.97-28.9, p < 0.001); the only fibrosis predictor was elevated AST (OR: 1.06, 95% CI: 1.00-1.12, p = 0.04). The addition of CAP or LSM as a second NIT reduced the number of indeterminate patients especially for FL.

CONCLUSIONS

Regardless of diagnostic method in 2017-2018, the prevalence of NAFLD was >35%. NITs for FL performed well but not for advanced fibrosis. CAP and LSM as a second NIT reduced those considered indeterminate.

Oxidative Stress in Chronic Hepatitis B—An Update

In recent years, the role of oxidative stress has been investigated in an increasing number of infections. There is a close link between the inflammation that accompanies infections and oxidative stress. Excessive reactive oxygen species induce harmful effects on cell components, including lipids, proteins, and nucleic acids. A growing body of evidence attests to the role of oxidative stress in the pathogenesis of viral liver infections, especially in hepatitis C virus (HCV) infection. Regarding hepatitis B virus (HBV) infection, the data are limited, but important progress has been achieved in recent years. This review presents the latest advances pertaining to the role of the oxidative stress byproducts in the pathogenesis of chronic hepatitis B, constituting a source of potential new markers for the evaluation and monitoring of patients with chronic hepatitis B.

Whether Screening for Non-alcoholic Fatty Liver Disease in Patients With Psoriasis Is Necessary: A Pilot Quality Improvement Project

Background

Psoriasis is a chronic inflammatory skin disease that is strongly associated with non-alcoholic fatty liver disease (NAFLD). Both conditions are associated with excess cardiovascular and liver-related morbidity and mortality. The severity of psoriasis correlates with the degree of liver inflammation and scarring, which can be further exacerbated by systemic immunomodulators such as methotrexate.

Currently, no clinical pathway exists to screen psoriasis patients for NAFLD in our Trust. We aimed to develop a shared clinical pathway between our hepatology and dermatology departments to allow early identification and management of NAFLD in this patient group.

Methods

A multidisciplinary team was assembled to identify patient priorities, management goals, and screening criteria. We identified gaps in our service and reviewed current clinical best practice guidelines. A clinical pathway was developed using a process map and revised according to feedback received. We piloted this pathway on a prospective cohort of psoriasis patients identified by our dermatology department. Patients were invited for transient elastography if fatty liver was identified on an ultrasound scan. Baseline demographics, biochemistry and imaging results were collected and analysed.

Results

Of 57 psoriasis patients, 30 (52.6%) had sonographic evidence of hepatic steatosis. The median age was comparable between groups with 56 and 55 years in the psoriasis-NAFLD (Ps-NAFLD) and no-NAFLD groups respectively. There were more males in the Ps-NAFLDgroup (56.7%) compared to the no-NAFLD group (37%). Fifteen out of 30 patients were eligible for transient elastography (two were excluded due to body habitus). Seven (53.8%) patients had no-to-mild fibrosis indicated by liver stiffness measurement (LSM) ≤7kPa, while six (46.1%) had moderate-to-severe fibrosis. Three (23.0%) patients had scores suggestive of cirrhosis (LSM>13kPa).

Conclusions

The introduction of a new shared-care pathway at our Trust has resulted in a streamlined way in which psoriasis patients can be screened and treated for NAFLD.

Vibration-controlled Transient Elastography for Assessment of Liver Fibrosis at a USA Academic Medical Center

BACKGROUND AND AIMS

Vibration-controlled transient elastography (VCTE) is a noninvasive tool that uses liver stiffness measurement (LSM) to assess fibrosis. Since real-life data during everyday clinical practice in the USA are lacking, we describe the patterns of use and diagnostic performance of VCTE in patients at an academic medical center in New York City.

METHODS

Patients who received VCTE scans were included if liver biopsy was performed within 1 year. Diagnostic performance of VCTE in differentiating dichotomized fibrosis stages was assessed via area under the receiver operating characteristics (AUROC). Fibrosis stage determined from VCTE LSM was compared to liver biopsy.

RESULTS

Of 109 patients, 49 had nonalcoholic fatty liver disease, 16 chronic hepatitis C, 15 congestive hepatopathy, and 22 at least two etiologies. AUROC was 0.90 for differentiating cirrhosis (stage 4) with a positive predictive value (PPV) range of 0.28 to 0.45 and negative predictive value range of 0.96 to 0.98. For 31 (32%) patients, VCTE fibrosis stage was at least two stages higher than liver biopsy fibrosis stage. Thirteen of thirty-five patients considered to have cirrhosis by VCTE had stage 0 to 2 and 12 stage 3 fibrosis on liver biopsy.

CONCLUSIONS

VCTE has reasonable diagnostic accuracy and is reliable at ruling out cirrhosis. However, because of its low PPV, caution must be exercised when used to diagnose cirrhosis, as misdiagnosis can lead to unnecessary health care interventions. In routine practice, VTCE is also sometimes performed for disease etiologies for which it has not been robustly validated.

Comparison of superb microvascular imaging and shear wave elastography for assessing liver fibrosis in chronic hepatitis B

Purpose

The present study investigated the effectiveness and applicability of superb microvascular imaging (SMI) in determining the degree of liver fibrosis noninvasively in comparison with shear wave elastography (SWE).

Methods

Ninety-eight consecutive patients with chronic hepatitis B who underwent ultrasound (US)-guided needle biopsy were examined using US combined with SMI and SWE. The predictive performance of the two US techniques in staging liver fibrosis and inflammation was compared with reference to the histological findings obtained from liver biopsy. The intraobserver and interobserver reproducibility of SMI in vascularity scores were evaluated.

Results

SWE values and SMI vascular scores were statistically significantly different among fibrosis stages (χ²(3)=76.3, χ²(3)=81.5, P<0.001). The SWE and SMI models significantly predicted fibrosis stages separately, and SMI scores alone predicted fibrosis stages better than SWE values (50.1% for SWE, 63.5% for SMI, P<0.001). A model with both SMI scores and SWE values together explained 73.2% of variance in fibrosis stages. When other clinical and laboratory predictors were added to the model (81.5%, P<0.001), SWE values and SMI scores remained the main predictors of fibrosis stages. SWE and SMI were also applicable in predicting inflammatory grades, explaining 31% and 34% of variance, respectively, and 37.7% when used together (P<0.001).

Conclusion

Both SWE and SMI had good diagnostic performance in determining the degree of liver fibrosis in chronic hepatitis B patients. The efficacy of SMI was better than that of SWE. SMI can improve diagnostic performance for staging liver fibrosis and shows potential for estimating necroinflammation of the liver.

Quantitative Assessment of Portal Hypertension by Two-Dimensional Shear Wave Elastography in Rat Models of Nonalcoholic Fatty Liver Disease: Comparison With Four Composite Scores

Background

Measurement of hepatic venous pressure gradients is the gold standard for assessing portal hypertension (PH) but is invasive with potential complications. We aimed to assess the performance in liver and spleen stiffness measurement (LSM and SSM, respectively) by two-dimensional shear wave elastography (2D-SWE) and composite scores including liver stiffness-spleen diameter to platelet ratio score (LSPS), platelet (PLT) count/spleen diameter ratio (PSR), aspartate aminotransferase (AST)/alanine aminotransferase ratio (AAR), and AST-to-PLT ratio index (APRI) for diagnosing PH in nonalcoholic fatty liver disease (NAFLD) rat models.

Methods

Animal models with PH in NAFLD were established in 65 rats, which then underwent 2D-SWE measurements. Morphological and biological parameters were collected for calculation of four composite scores. Correlations of noninvasive methods with portal venous pressure were evaluated by Spearman correlation analysis. The area under the receiver operating characteristic curve (AUC) was used to assess the performance of noninvasive methods in predicting PH.

Results

LSM and SSM were significantly associated with portal venous pressure (r = 0.636 and 0.602, respectively; all P < 0.001). The AUCs of LSM and SSM in the diagnosis of PH were 0.906 (95% confidence interval [CI]:0.841–0.97) and 0.87 (95% CI:0.776–0.964), respectively, and were significantly higher than those in composite scores. The AUCs for LSPS, PSR, AAR, and APRI were 0.793, 0.52, 0.668, and 0.533, respectively, for diagnosing PH. The AUCs of the combined models of LSM and SSM, LSM and PLT, SSM and PLT, and LSM, SSM and PLT were 0.923, 0.913, 0.872, and 0.923, respectively. The four combined models showed no statistical differences compared to LSM and SSM in evaluating PH (all P > 0.05).

Conclusions

LSM and SSM by 2D-SWE can be used as promising noninvasive parameters for diagnosing PH in NAFLD and have higher accuracy than composite scores. The combined models, compared to LSM and SSM, did not significantly improve the performance in diagnosing PH.

A novel non-invasive score for the prediction of advanced fibrosis in patients with chronic hepatitis B

INTRODUCTION AND OBJECTIVES

Evaluation of liver fibrosis is important for treatment decisions, complications and to predict prognosis in patients with chronic hepatitis B (CHB). Our aim was to develop a new non-invasive fibrosis scoring method and prove its accuracy in the differentiation of no/low grade and advanced fibrosis in patients with CHB.

PATIENTS AND METHODS

Our study included 273 chronic hepatitis B patients who underwent liver biopsy from February, 2007 to February, 2019 with medical records retrospectively reviewed. Preparations of these patients were divided into two groups as ≤ 3 no-low grade fibrosis (n=236) and ≥ 4 advanced fibrosis (n=37) according to histological ISHAK fibrosis scoring system.

RESULTS

The newly developed AGAP score and other non-invasive fibrosis scores; Fibrosis-4 index, Aspartate aminotransferase to platelets ratio, Gamma glutamyl transpeptidase to platelet ratio, Goteborg University Cirrhosis Index, King's score, Albumin-bilirubin index, Fibrosis cirrhosis index, Fibrosis index, Fibrosis quotient, Lok score and mean and/or median values of Fibroindex were significantly higher in the advanced fibrosis group compared to the no/low grade fibrosis group (p<0.001). However, there was no significant difference in AAR score among the groups (p=0.265). With cut-off value of 4.038, AUROC value of 0.803, sensitivity of 75.7%, specificity of 73.7% and accuracy of 0.740, AGAP score showed the best performance in advanced fibrosis differentiation compared to 12 other non-invasive fibrosis scoring methods.

CONCLUSIONS

The newly developed AGAP score showed better performance in patients with CHB compared to 12 other non-invasive fibrosis scores in differentiation of no/low grade fibrosis and advanced fibrosis.

Evaluation of liver fibrosis in chronic hepatitis B patients with 2D shear wave elastography with propagation map guidance: a single-centre study

Background

The aims of this study were to evaluate liver fibrosis with two-dimensional (2D) shear wave elastography (SWE) in patients with chronic hepatitis B (CHB), to compare 2D-SWE with histopathology and to determine the change in liver stiffness values after antiviral therapy.

Material and methods

A total of 253 patients with CHB were included in this prospective study. 2D-SWE with propagation map guidance to measure liver stiffness, fibrosis-4 index (FIB-4) and aspartate aminotransferase to platelet ratio index (APRI) scoring and additional liver biopsy were performed in patients with CHB. Liver stiffness was measured again at 24 and 48 weeks in all patients. The Spearman rank correlation test was used to analyse the correlation between variables, and receiver operating curve analysis was used to evaluate the diagnostic performance in terms of fibrosis.

Results

Liver stiffness measurements made with 2D-SWE demonstrated a significant positive correlation with the fibrosis stage and FIB-4 score (r_s = 0.774 and 0.337, respectively, p < 0.001 for both). The area under the curve value for kPa for the prediction of significant fibrosis was 0.956 (95% CI_s) (0.920–0.991), and the optimal cut-off value was 8.2 kPa (sensitivity: 92.7% and specificity: 78.9%); these values were 0.978 (95% CI_s, 0.945–1.000) and 10.1 kPa (sensitivity: 92.9% and specificity: 96.4%) for the prediction of severe fibrosis. After antiviral treatment, a decrease in liver stiffness values measured by 2D-SWE was detected (mean kPa values at 0 and 48 weeks; 9.24 and 7.36, respectively, p < 0.001).

Conclusion

In conclusion, the measurement of liver stiffness with 2D-SWE has high diagnostic performance in the determination of hepatic fibrosis and can be used to evaluate the response to treatment in patients receiving antiviral therapy.

Liver stiffness measurement as a quantitative method for liver fibrosis in children with non-alcoholic fatty liver disease: A meta-analysis

AIM

This study assessed the diagnostic performance of liver stiffness measurement (LSM) in detecting liver fibrosis in paediatric patients with non-alcoholic fatty liver disease (NAFLD) through meta-analysis.

METHODS

Online database searches of PubMed, EMBASE, the Cochrane Library and the Web of Science were conducted for studies that evaluated the performance of LSM for diagnosing liver fibrosis in paediatric patients with NAFLD until 1 January 2021. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to assess the quality of the included studies. Three measures were used to assess the performance of LSM for detecting liver fibrosis in paediatric patients with NAFLD, including the summary sensitivities and specificities, the summary area under the receiver operating characteristic curves and the summary diagnostic odds ratios.

RESULTS

Our final data included seven studies with a total of 436 paediatric patients with NAFLD for meta-analysis. The overall prevalence of mild fibrosis, significant fibrosis, advanced fibrosis and cirrhosis was 66.3, 31.5, 14.9 and 1.2%, respectively. The summary sensitivity, specificity and area under the receiver operating characteristic values of LSM were 80, 92 and 0.94 for the prediction of mild fibrosis; 91, 97 and 0.98 for the prediction of significant fibrosis; and 89, 93 and 0.96 for the prediction of advanced fibrosis, respectively.

CONCLUSION

Liver stiffness measurement exhibited good diagnostic performance in predicting liver fibrosis and can be used as a non-invasive tool in the management of paediatric patients with non-alcoholic fatty liver disease.

Increased Levels of CHI3L1 and HA Are Associated With Higher Occurrence of Liver Damage in Patients With Obstructive Sleep Apnea

Background

Obstructive sleep apnea-hypopnea syndrome (OSA) may cause liver fibrosis, and liver fibrosis serum biomarkers plays an important role on the diagnosis of liver fibrosis. In addition, this study aimed to observe the changes of 4 serum markers and Chitinase 3-like protein 1 (CHII3L1) levels in OSA patients with different disease severity and explore their interactions. And then, we examined whether intermittent hypoxia (IH) exposure can activate hepatic stellate cell.

Methods

74 OSA patients in Second Xiangya hospital from January 2021 to October 2021 was selected and categorized into mild, moderate, and severe groups according to AHI. In addition, 20 subjects were selected as the control group. Serum levels of liver fibrosis markers were determined by electrochemiluminescence immunoassay. Hepatic stellate cells were exposed to intermittent IH or normoxia (RA). Results were analyzed using the SPSS software.

Results

There was a significant increase in serum hyaluronic acid (HA), collagen type IV (CIV) and CHI3L1 levels in OSA patients compared with control group. Specifically, serum liver fibrosis markers HA, CIV and CHI3L1 levels were positively correlated with apnea-hypopnea index (AHI), but negatively correlated with the lowest saturation oxygen (LSaO₂) respectively. The LX-2 cells (human hepatic stellate cell line) exposed to IH showed significant increases in fibrotic protein expression.

Conclusion

OSA might either directly or indirectly trigger or exacerbate liver fibrosis, possibly via IH-related pathways.

Prevalence and outcomes of patients with sinusoidal obstruction syndrome after liver transplantation: A ten year's experience of a third-level Centre in Japan

BACKGROUND

Sinusoidal obstruction syndrome (SOS) after liver transplantation (LT) is a rare and potentially lethal complication. We retrospectively reviewed the outcomes of patients with post-transplant SOS.

METHODS

Between May 2001 and December 2019, of 332 patients who underwent LT, 5 (1.5%) developed SOS. The median age at LT was 1.7 years (range 0.1-66.5). SOS was histopathologically diagnosed and classified as early-onset (<1 month) or late-onset.

RESULTS

The median time to diagnosis of SOS was one month after LT. All patients developed acute cellular rejection before SOS, and the cause of SOS was acute cellular rejection in four patients and unknown in one. The treatment of SOS included conversion to tacrolimus from cyclosporine, intrahepatic hepatic vein stent placement, strengthening of immunosuppression, and plasma exchange. The 5-year graft survival rates in patients with and without SOS were 53.0% and 92.5%, respectively (p < 0.001). Of three patients with early-onset SOS, two patients improved and are doing well, and one patient died of graft failure four months after LT.

CONCLUSIONS

The cause and treatment of post-transplant SOS are not yet defined. The poor outcomes in patients with early-onset SOS may be improved by strengthening of immunosuppression. Patients with late-onset SOS are ultimately treated by repeat LT.

Transjugular Intrahepatic Portosystemic Shunt for Portal Vein Cavernous Transformation: A Systematic Review and Single-Arm Meta-Analysis

BACKGROUND

Transjugular intrahepatic portosystemic shunt (TIPS) is technically challenging in the treatment of portal vein cavernous transformation (PVCT), and there is no high-quality evidence regarding whether it is an option for patients with PVCT. We carried out a systematic review and meta-analysis to assess the feasibility and safety of TIPS for PVCT.

METHODS

Systematic search of PubMed, Chinese National Knowledge Infrastructure (CNKI) database, Cochrane Library, Embase, and Wanfang database through December 2021 for appropriate studies reporting efficacy and safety in patients with PVCT undergoing TIPS. The main outcome included the technical success rate, postoperative rebleeding rate, postoperative hepatic encephalopathy rate, stent patency rate, preoperative, and postoperative portal pressure.

RESULTS

Ten studies, including 292 patients were included. Our results showed that TIPS was technically successful in 82.97% (95% confidence interval [CI]: 77.14%-88.41%, p = 0.297) with low heterogeneity (I2 = 18.39%, p = 0.279). Postoperative rebleeding occurred in 9.56% (95% CI: 4.55%-16.77%, p = 0.073) with moderate heterogeneity (I2 = 46.45%, p = 0.06). Postoperative hepatic encephalopathy occurred in 18.55% (95% CI: 9.23%-27.05%, p = 0.343) with moderate heterogeneity (I2 = 48.62%, p = 0.049). Stent patency during follow-up was in 78.43% (95% CI: 70.74%-85.20%, p = 0.805) with low heterogeneity (I2 = 0%, p = 0.654). Postoperative portal pressure significantly reduced (WMD = 12.79 mm Hg, 95% CI: 12.09-13.48 mm Hg, p < 0.00001) with high heterogeneity (I2 = 61.4%, p = 0.02). Both Begg test and funnel plot showed that there was no significant publication bias.

CONCLUSIONS

TIPS is feasible and safe in patients with PVCT and PVCT should not be considered an absolute contraindication to TIPS.

Correlation of hepatitis B surface antigen expression with clinicopathological and biochemical parameters in liver biopsies: A comprehensive study

BACKGROUND

Chronic viral B hepatitis (CHB) is a potentially life-threatening liver disease that may progress to liver failure and cirrhosis. Currently, although combinations of different laboratory methods are used in the follow-up and treatment of CHB, the failure of these procedures in some cases has led to the necessity of developing new approaches. In CHB, the intrahepatic expression pattern of viral antigens, including hepatitis B surface antigen (HBsAg), is related to different phases of inflammation. However, many studies have focused on the intracytoplasmic properties of HBsAg staining, and HBsAg positivity in liver tissue has not been evaluated by objective quantitative methods.

AIM

To investigate the relationship of image analysis-based quantitative HBsAg expression and its staining patterns with clinicopathological factors and treatment in CHB.

METHODS

A total of 140 liver biopsies from treatment-naïve cases with CHB infection were included in this study. Following diagnosis, all patients were treated with entecavir (0.5 mg) and followed up at three-month intervals. The percentage of immunohistochemical HBsAg (p-HBsAg) expression in the liver was determined in whole tissue sections of biopsies from each case by image analysis. The immunohistochemical staining pattern was also evaluated separately according to 3 different previously defined classifications.

RESULTS

A positive correlation between p-HBsAg and serum levels of hepatitis B virus (HBV) DNA and HBsAg was observed (P < 0.001). The p-HBsAg value was significantly higher in younger patients than in older patients. When the groups were categorized according to the hepatitis B e antigen (HBeAg) status in HBeAg-positive cases, p-HBsAg was correlated with HBV DNA, hepatitis activity index (HAI) and fibrosis scores (P < 0.001). In this group, p-HBsAg and HBsAg expression patterns were also correlated with the viral response (VR) and the serological response (SR) (P < 0.001). Multivariate analysis revealed that p-HBsAg was an independent predictor of either VR or SR (P < 0.001). In HBeAg-negative patients, although HBsAg expression patterns were correlated with both HAI and fibrosis, no relationship was observed among p-HBsAg, clinicopathological factors and VR.

CONCLUSION

In pretreatment liver biopsies, the immunohistochemical determination of HBsAg expression by quantitative methods, beyond its distribution within the cell, may be a good predictor of the treatment response, especially in HBeAg-positive cases.

Testing for cirrhosis

Cirrhosis can be suspected by a thorough clinical assessment, but compensated liver disease is often asymptomatic. Select investigations are therefore critical for identifying patients with advanced liver disease and cirrhosis Biomarkers and validated serum tests can evaluate liver damage and synthetic function. The ratio of the concentration of aspartate aminotransferase to the platelet count can predict the presence of cirrhosis Non-invasive imaging techniques, from basic ultrasound to elastography, are critical adjuncts to the clinical assessment of cirrhosis. They reduce the need for liver biopsy Careful monitoring, prescribing and appropriate specialist referral are key considerations in cirrhosis management. Early diagnosis can help to improve the outcomes for patients.