Identification of chronic hepatitis B patients without significant liver fibrosis by a simple noninvasive predictive model

Non-Invasive Assessment of Liver Fibrosis in Hepatitis B Patients

The aim of this review is to provide updated information on the clinical use of non-invasive serum and imaging-based tests for fibrosis assessment in chronic hepatitis B (CHB) virus infection. In recent years, non-invasive tests (NIT) have been increasingly used to determine eligibility for treatment. Liver biopsy is still considered the gold standard for assessing inflammatory activity and fibrosis staging, but it is an invasive procedure with inherent limitations. Simple serum markers such as APRI and FIB-4 are limited by indeterminate results but remain useful initial tests for fibrosis severity if imaging elastography is not available. Point-of-care US-based elastography techniques, such as vibration-controlled transient elastography or 2D shear wave elastography, are increasingly available and have better accuracy than simple serum tests for advanced fibrosis or cirrhosis, although stiffness cut-offs are variable based on E-antigen status and inflammatory activity. Current NITs have poor diagnostic performance for following changes in fibrosis with antiviral therapy. However, NITs may have greater clinical utility for determining prognosis in patients with CHB that have advanced disease, especially for the development of hepatocellular carcinoma and/or liver decompensation. Algorithms combining serum and imaging NITs appear promising for advanced fibrosis and prognostic risk stratification.

Prevalence and Crucial Parameters in Diabesity-Related Liver Fibrosis: A Preliminary Study

Diabetes and obesity have been recognized as confirmed risk factors for the occurrence of liver fibrosis. Despite the long-standing acknowledgment of "diabesity", the simultaneous existence of diabetes and obesity, scholarly literature has shown limited attention to this topic. The aim of this pilot study was to assess the prevalence of liver fibrosis among individuals with diabetes (specifically those who are obese) in order to identify the key factors associated with hepatofibrosis and determine the most important associations and differences between patients with and without liver fibrosis. The research included a total of 164 participants (48.17% had comorbid obesity). Liver elastography (Fibroscan) was performed on these individuals in addition to laboratory tests. Liver fibrosis was found in 34.76% of type 2 diabetes patients; male gender almost doubled the risk of hepatofibrosis (RR 1.81) and diabesity nearly tripled this risk (RR 2.81; however, in degree III of obesity, the risk was elevated to 3.65 times higher). Anisocytosis, thrombocytopenia, or elevated liver enzymes raised the incidence of liver fibrosis by 1.78 to 2.47 times. In these individuals, liver stiffness was negatively correlated with MCV, platelet count, and albumin concentration; GGTP activity and HbA1c percentage were positively correlated. The regression analysis results suggest that the concentration of albumin and the activity of GGTP are likely to have a substantial influence on the future management of liver fibrosis in patients with diabesity. The findings of this study can serve as the basis for subsequent investigations and actions focused on identifying potential therapeutic and diagnostic avenues.

How Successful Are APRI and FIB-4 Scores in Predicting Liver Fibrosis in Chronic Hepatitis B Patients?

Objective

We aimed to evaluate the correlation of fibrosis severity in liver biopsies, the gold standard for the diagnosis of patients with chronic hepatitis B (CHB), using noninvasive methods such as the aspartate aminotransferase (AST)-to-platelet ratio index (APRI) and fibrosis-4 score (FIB-4).

Materials and Methods

The study included patients who were followed and treated for CHB in 2018-2023. Biochemical markers and liver biopsy findings of the cases were retrospectively, and their correlations with APRI and FIB-4, which are noninvasive scores, were compared.

Results

The study included 202 patients. The biochemical markers and liver biopsy findings of the cases were examined retrospectively, and their correlations with the noninvasive scores APRI and FIB-4 were compared. According to liver biopsy results, 109 (54.0%) cases had no fibrosis (stage 0.1), 85 (42.1%) cases had mild fibrosis (stage 2, 3), and 8 (4%) cases had severe fibrosis (stage 4, 5, 6). The median FIB-4 score was 0.79 (0.25 -11.74), and the median APRI score was 0.29 (0.10-29.40). When the predictive power of the APRI score to discriminate between "without fibrosis" and "with fibrosis (mild and severe)" was evaluated by receiver operating characteristic (ROC) curve analysis, for the APRI score >0.408 as the ideal cut-off point, the sensitivity and specificity were found to be 34% and 79%, respectively. When the cut-off point for the FIB-4 score was >0.701, the sensitivity and specificity were 71% and 46%, respectively. Although the area under the curve (AUC) ratios ranged between 52% and 64% in the ROC analyses, the sensitivity ratios of the cut-off points calculated for FIB-4 were higher. The likelihood ratios of the cut-off point we found for the APRI score (1.61 and 1.75, respectively) were relatively better than those for FIB-4 (1.31 and 1.41, respectively).

Conclusion

Noninvasive tests used to detect liver fibrosis in individuals with CHB do not eliminate the need for liver biopsy but may provide insight into the fibrosis status of patients.

Serum ribonucleotide reductase M2 is a potential biomarker for diagnosing and monitoring liver fibrosis in chronic hepatitis B patients

It is known that ribonucleotide reductase M2 (RRM2) could be induced by hepatitis B virus (HBV) via DNA damage response. However, whether RRM2 is a potential biomarker for diagnosing and monitoring liver fibrosis in chronic hepatitis B (CHB) patients is still unclear. In this study, CHB patients from GSE84044 (a transcriptome data from GEO data set) were downloaded and RRM2 was selected as a hub gene. Interestingly, a positive correlation was found between serum RRM2 and liver fibrosis stage. The similar results were found in CHB patients with normal alanine aminotransferase (ALT). Notably, RRM2 could effectively differentiate preliminary fibrosis from advanced fibrosis in CHB patients with/without normal ALT. In addition, RRM2 had a better performance in diagnosing liver fibrosis than two commonly used noninvasive methods (aspartate aminotransferase-to-platelet ratio index and fibrosis index based on the four factors), two classic fibrotic biomarkers (hyaluronic acid and type IV collagen) as well as Mac-2 binding protein glycosylation isomer, a known serum fibrosis marker. Moreover, CHB patients with high RRM2, who were associated with advanced fibrosis, had higher expressions of immune checkpoints. Overall, serum RRM2 may be a promising biomarker for diagnosing and monitoring liver fibrosis in CHB patients.

Diagnosis of HDV: From virology to non-invasive markers of fibrosis

Hepatitis D viral infection in humans is a disease that requires the establishment of hepatitis B, relying on hepatitis B surface Ag and host cellular machinery to replicate and propagate the infection. Since its discovery in 1977, substantial progress has been made to better understand the hepatitis D viral life cycle, pathogenesis and modes of transmission along with expanding on clinical knowledge related to prevention, diagnosis, monitoring and treatment. The availability of serologic diagnostic assays for hepatitis D infection has evolved over time with current widespread availability, improved detection and standardized reporting. With human migration, the epidemiology of hepatitis D infection has changed over time. Thus, the ability to use diagnostic assays remains essential to monitor the global impact of hepatitis D infection. Separately, while liver biopsy remains the gold standard for the staging of this rapidly progressive and severe form of chronic viral hepatitis, there is an unmet need for clinical monitoring of chronic hepatitis D infection for management of progressive disease. Thus, exploration of the utility of non-invasive fibrosis markers in hepatitis D is ongoing. In this review, we discuss the virology, the evolution of diagnostics and the development of non-invasive markers for the detection and monitoring of fibrosis in patients with hepatitis D infection.

A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B

OBJECTIVE

To develop and investigate a deep learning model with data integration of ultrasound contrast-enhanced micro-flow (CEMF) cines, B-mode images, and patients' clinical parameters to improve the diagnosis of significant liver fibrosis (≥ F2) in patients with chronic hepatitis B (CHB).

METHODS

Of 682 CHB patients who underwent ultrasound and histopathological examinations between October 2016 and May 2020, 218 subjects were included in this retrospective study. We devised a data integration-based deep learning (DIDL) model for assessing ≥ F2 in CHB patients. The model contained three convolutional neural network branches to automatically extract features from ultrasound CEMF cines, B-mode images, and clinical data. The extracted features were fused at the backend of the model for decision-making. The diagnostic performance was evaluated across fivefold cross-validation and compared against the other methods in terms of the area under the receiver operating characteristic curve (AUC), with histopathological results as the reference standard.

RESULTS

The mean AUC achieved by the DIDL model was 0.901 [95% CI, 0.857-0.939], which was significantly higher than those of the comparative methods, including the models trained by using only CEMF cines (0.850 [0.794-0.893]), B-mode images (0.813 [0.754-0.862]), or clinical data (0.757 [0.694-0.812]), as well as the conventional TIC method (0.752 [0.689-0.808]), APRI (0.792 [0.734-0.845]), FIB-4 (0.776 [0.714-0.829]), and visual assessments of two radiologists (0.812 [0.754-0.862], and 0.800 [0.739-0.849]), all ps < 0.01, DeLong test.

CONCLUSION

The DIDL model with data integration of ultrasound CEMF cines, B-mode images, and clinical parameters showed promising performance in diagnosing significant liver fibrosis for CHB patients.

KEY POINTS

• The combined use of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical data in a deep learning model has potential to improve the diagnosis of significant liver fibrosis. • The deep learning model with the fusion of features extracted from multimodality data outperformed the conventional methods including mono-modality data-based models, the time-intensity curve-based recognizer, fibrosis biomarkers, and visual assessments by experienced radiologists. • The interpretation of the feature attention maps in the deep learning model may help radiologists get better understanding of liver fibrosis-related features and hence potentially enhancing their diagnostic capacities.

Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort

BACKGROUND

The progress of digital transformation in clinical practice opens the door to transforming the current clinical line for liver disease diagnosis from a late-stage diagnosis approach to an early-stage based one. Early diagnosis of liver fibrosis can prevent the progression of the disease and decrease liver-related morbidity and mortality. We developed here a machine learning (ML) algorithm containing standard parameters that can identify liver fibrosis in the general US population.

MATERIALS AND METHODS

Starting from a public database (National Health and Nutrition Examination Survey, NHANES), representative of the American population with 7265 eligible subjects (control population n = 6828, with Fibroscan values E < 9.7 KPa; target population n = 437 with Fibroscan values E ≥ 9.7 KPa), we set up an SVM algorithm able to discriminate for individuals with liver fibrosis among the general US population. The algorithm set up involved the removal of missing data and a sampling optimization step to managing the data imbalance (only ∼ 5 % of the dataset is the target population).

RESULTS

For the feature selection, we performed an unbiased analysis, starting from 33 clinical, anthropometric, and biochemical parameters regardless of their previous application as biomarkers of liver diseases. Through PCA analysis, we identified the 26 more significant features and then used them to set up a sampling method on an SVM algorithm. The best sampling technique to manage the data imbalance was found to be oversampling through the SMOTE-NC. For final model validation, we utilized a subset of 300 individuals (150 with liver fibrosis and 150 controls), subtracted from the main dataset prior to sampling. Performances were evaluated on multiple independent runs.

CONCLUSIONS

We provide proof of concept of an ML clinical decision support tool for liver fibrosis diagnosis in the general US population. Though the presented ML model represents at this stage only a prototype, in the future, it might be implemented and potentially applied to program broad screenings for liver fibrosis.

Non-invasive fibrosis markers for assessment of liver fibrosis in chronic hepatitis delta

Assessment of liver fibrosis by non-invasive means is clinically important. Studies in chronic hepatitis delta (CHD) are scarce. We evaluated the performance of eight serum fibrosis markers [fibrosis-4 score (FIB-4), aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (AAR), age-platelet index (API), AST-to platelet-ratio-index (APRI), Goteborg University Cirrhosis Index (GUCI), Lok index, cirrhosis discriminant score (CDS) and Hui score] in CHD and chronic hepatitis B (CHB). Liver stiffness was assessed by transient elastography (TE) in CHD. The ability of fibrosis markers to detect significant fibrosis and cirrhosis were evaluated in 202 CHB and 108 CHD patients using published and new cut-offs through receiver operating characteristics (ROC) analysis. The latter was also applied to obtain cut-offs for TE. APRI, Fib-4, API and Hui score were assessed for significant fibrosis, and APRI, GUCI, Lok index, CDS and AAR for cirrhosis determination. Fibrosis markers displayed weak performance in CHB for significant fibrosis with area under ROC (AUROC) curves between 0.62 and 0.71. They did slightly better for CHD. TE displayed an AUROC of 0.92 and performed better than serum fibrosis markers (p < 0.05 for fibrosis markers). For cirrhosis determination, CDS and Lok Index displayed an AUROC of 088 and 0.89 in CHB and GUCI, Lok index and APRI displayed AUROCs around 0.90 in CHD. TE displayed the best AUROC (0.95). Hence TE is superior to serum fibrosis markers for diagnosing significant liver fibrosis and cirrhosis. GUCI, Lok index and APRI displayed a reasonable performance in CHD, which needs further confirmation.

Early prediction model for prognosis of patients with hepatitis-B-virus-related acute-on-chronic liver failure received glucocorticoid therapy

Background

Early prediction for short-term prognosis is essential for the management of hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). In this study, we aim to establish a noninvasive model for predicting the 90-day mortality in patients with HBV–ACLF received glucocorticoid therapy.

Methods

Two hundred and eighty patients with HBV–ACLF were enrolled from July 2010 to June 2022. All patients received routine medicine treatment and 204 of them received additional glucocorticoid treatment. Then, the patients who received glucocorticoid treatment were randomly divided into a training cohort and a validation cohort. An early prediction model for 90-day mortality of HBV–ACLF was established in the training cohort and then validated in the validation cohort.

Results

HBV–ACLF patients received glucocorticoid treatment showed significantly better survival that those not (P < 0.01). In the training cohort, a noninvasive model was generated with hepatic encephalopathy grade, INR, total bilirubin, age and SIRS status, which was named HITAS score. It showed significantly better predictive value for 90-day mortality of HBV–ACLF than MELD score and Child–Turcotte–Pugh score in both the training cohort and validation cohort. Using the Kaplan–Meier analysis with cutoff points of 2.5 and 3.47, the HITAS score can classify HBV–ACLF patients into different groups with low, intermediate and high risk of death after glucocorticoid therapy.

Conclusions

We proposed a HITAS score, which was an early prediction model for the prognosis of HBV–ACLF. It might be used to identify HBV–ACLF patients with favorable responses to glucocorticoid treatment.

Biomarkers in Liver Disease

Symptoms and signs of liver diseases are highly variable depending on the etiology, disease stage, and type of liver involvement. There are different types of liver diseases; causes of liver diseases may be viral, toxic, metabolic, or autoimmune. However, in some cases, liver disease can develop as a result of diseases of other organs or systems. It is almost impossible to differentiate all of these solely on the basis of clinical symptoms and findings. Furthermore, the early stages of liver disease may be completely asymptomatic, or in some cases, the disease may progress with only subtle and non-specific symptoms. Therefore, biomarkers have a critical role in screening, diagnosis, staging, and evaluation of therapeutic response to treatment in liver diseases.

Hepatitis B Virus and Tuberculosis Are Associated with Increased Noncommunicable Disease Risk among Treatment-Naïve People with HIV: Opportunities for Prevention, Early Detection and Management of Comorbidities in Sierra Leone

Noncommunicable diseases (NCDs) are a growing public health concern in low- and middle-income countries and disproportionately affect people living with HIV (PWH). Hepatitis B virus (HBV) and tuberculosis (TB) coinfection are presumed risk factors in endemic settings; however, supporting evidence is conflicting. We analyzed baseline data of newly diagnosed PWH prospectively enrolled in the Sierra Leone HIV Cohort Study in Freetown, Sierra Leone, from March to September 2021. Logistic regression was used to identify associations between NCDs, HBV and TB. A total of 275 PWH aged ≥18 years were studied (55% female, median age 33 years, median CD4 307 cells/mm3, 15.3% HIV/HBV, 8.7% HIV/TB). NCDs were bimodally distributed, with 1 in 4 PWH clustered around liver disease (fibrosis/cirrhosis), diabetes/prediabetes and obesity/preobesity, while 1 in 8 had renal impairment or hypertension (HTN). Overall, 41.5% had ≥1 NCD, while 17.5% were multimorbid (≥2 NCDs). After adjusting for age, sex, sociodemographic factors and CD4 count, liver fibrosis/cirrhosis was strongly associated with HBV (aOR 8.80, 95% CI [2.46−31.45]; p < 0.001) and diabetes/prediabetes (aOR 9.89, 95% CI [1.14−85.67]; p < 0.037). TB independently predicted diabetes/prediabetes (aOR 7.34, 95% CI [1.87−28.74]; p < 0.004), while renal impairment was associated with proteinuria (aOR 9.34, 95% CI [2.01−43.78]; p < 0.004) and HTN (aOR 6.00, 95% CI [1.10−35.39]; p < 0.049). Our findings warrant the implementation of NCD-aware HIV programs for the prevention, early detection and management of comorbidities.

Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network

BACKGROUND AND AIMS

Chronic hepatitis B virus (CHB) infection remains a major global health burden and the non-invasive and accurate diagnosis of significant liver fibrosis (≥ F2) in CHB patients is clinically very important. This study aimed to assess the potential of the joint use of ultrasound images of liver parenchyma, liver stiffness values, and patients' clinical parameters in a deep learning model to improve the diagnosis of ≥ F2 in CHB patients.

METHODS

Of 527 CHB patients who underwent US examination, liver elastography and biopsy, 284 eligible patients were included. We developed a deep learning-based data integration network (DI-Net) to fuse the information of ultrasound images of liver parenchyma, liver stiffness values and patients' clinical parameters for diagnosing ≥ F2 in CHB patients. The performance of DI-Net was cross-validated in a main cohort (n = 155) of the included patients and externally validated in an independent cohort (n = 129), with comparisons against single-source data-based models and other non-invasive methods in terms of the area under the receiver-operating-characteristic curve (AUC).

RESULTS

DI-Net achieved an AUC of 0.943 (95% confidence interval [CI] 0.893-0.973) in the cross-validation, and an AUC of 0.901 (95% CI 0.834-0.945) in the external validation, which were significantly greater than those of the comparative methods (AUC ranges: 0.774-0.877 and 0.741-0.848 for cross- and external validations, respectively, ps < 0.01).

CONCLUSION

The joint use of ultrasound images of liver parenchyma, liver stiffness values, and patients' clinical parameters in a deep learning model could significantly improve the diagnosis of ≥ F2 in CHB patients.

A Generic Nomogram Predicting the Stage of Liver Fibrosis Based on Serum Biochemical Indicators Among Chronic Hepatitis B Patients

Introduction: Liver fibrosis staging is of great importance for reducing unnecessary injuries and prompting treatment in chronic viral hepatitis B patients. Liver biopsy is not suitable to act a screening method although it is a gold standard because of various shortcomings. This study aimed to establish a predictive nomogram as a convenient tool to effectively identify potential patients with different stages of liver fibrosis for patients with chronic hepatitis B.

Methods: A nomogram for multinomial model was developed in a training set to calculate the probability for each stage of fibrosis and tested in a validation set. Fibrosis stages were subgrouped as followed: severe fibrosis/cirrhosis (F3–F4), moderate fibrosis (F2), and nil-mild fibrosis (F0–F1). The indicators were demographic characteristics and biochemical indicators of patients. Continuous indicators were divided into several groups according to the optimal candidate value generated by the decision tree.

Results: This study recruited 964 HBV patients undergoing percutaneous liver biopsy. The multinomial model with 10 indicators was transformed into the final nomogram. The calibration plot showed a good agreement between nomogram-predicted and observed probability of different fibrosis stages. Areas under the receiver operating characteristics (AUROCs) for severe fibrosis/cirrhosis were 0.809 for training set and 0.879 for validation set. For moderate fibrosis, the AUROCs were 0.75 and 0.781. For nil-mild fibrosis, the AUROCs were 0.792 and 0.843. All the results above showed great predictive performance in predicting the stage of fibrosis by our nomogram.

Conclusion: Our model demonstrated good discrimination and extensibility in internal and external validation. The proposed nomogram in this study resulted in great reliability and it can be widely used as a convenient and efficient way.

Non-Invasive Indirect Markers of Liver Fibrosis after Interferon-Free Treatment for Hepatitis C

The effectiveness of interferon-free therapy during the course of HCV infection has already been confirmed. Liver fibrosis can be assessed in several ways, from biopsies to imaging tests. The present study evaluates the usefulness of non-invasive indirect biomarkers of liver fibrosis (APRI, GAPRI, FORNS, FIB-4, the AP index and HUI score) as markers of the effective treatment of HCV with the 3D regimen. Blood samples were collected from 70 patients suffering from chronic hepatitis C. Patients received the 3D AbbVie regimen for hepatitis C. All patients had HCV genotype 1b. The APRI, GAPRI, FIB-4, FORNS, HUI and AP index (age–platelet score) values were calculated with their respective algorithms. The stage of fibrosis was evaluated on the basis of a liver biopsy and confirmed by FibroScan-based transient elastography. An undetectable level of HCV RNA after 12 weeks of treatment with the 3D regimen indicates 100% eradication of hepatitis C virus. After the treatment, non-invasive indirect markers of liver fibrosis achieved levels below the limit for significant fibrosis, Thus, non-invasive indirect biomarkers of hepatic fibrosis failed to detect the presence of significant fibrosis, which was proved in histopathological examination. However, the eradication of hepatitis C virus by means of the 3D regimen treatment does not mean that patients were completely cured.

Prevalence of sero-markers and non-invasive assessment of liver cirrhosis in patients with Hepatitis B virus infection in Freetown, Sierra Leone: a cross-sectional study

Background

Hepatitis B virus (HBV) is a major global health problem. Although sub-Saharan Africa has a high proportion of the global burden of HBV, the epidemiology and clinical features of HBV in this region are poorly characterized, and access to diagnostic and treatment services remain limited.

Methods

We conducted a retrospective study of HBV-infected children and adults of all age groups who were evaluated at public and private health facilities in Freetown, Sierra Leone between January 2017 and January 2019. We assessed their clinical presentation, HBV sero-markers, stages of liver disease, prevalence of cirrhosis by non-invasive tools, and the proportion of treatment eligible patients using the criteria recommended by the World Health Organization’s 2015 treatment guidelines for HBV. Logistic regression was used to identify predictors of liver cirrhosis.

Results

163 HBV patients included in the study, with mean age 32.6 years and 65.0% (106) being males. Most (84.0%) were asymptomatic at presentation. The majority (69.9%) were classified as having HBeAg-negative chronic infection (or inactive HBsAg carrier phase), 24.5% were in the HBeAg-negative immune active phase, 3.1% had HBeAg positive hepatitis, and 2.5% were HBsAg negative. The median Aspartate aminotransferase to Platelet Ratio (APRI) and Fibrosis-4 (FIB-4) scores were 0.37 and 0.80, respectively. The prevalence of cirrhosis was 7.6% and 6.2%, estimated by the APRI and FIB-4 scores, respectively. About 20.0% of patients were eligible for treatment with antiviral agents. Based on APRI scores, the presence of any symptom [adjusted odds ratio (aOR) 20.0, 95% confidence interval (CI) (4.1–85.9); p < 0.001], elevated direct bilirubin [aOR 12.1, 95% CI (1.9–63.0); p = 0.003], and elevated total bilirubin [aOR 16.1, 95% CI (3.2–80.8); p = 0.001] were independent predictors of cirrhosis.

Conclusion

Although most patients with HBV infection were asymptomatic, the prevalence of liver cirrhosis and proportion of patients requiring antiviral treatment were substantial. This small study from a hyperendemic setting in Sierra Leone suggests that routine population-based screening may increase early detection and linkage of HBV patients to care before development of complications. Larger studies are needed to confirm our findings.

EASL-ALEH 2015 algorithm for the use of transient elastography in treatment-naive patients with hepatitis B: An independent validation

Various non-invasive methods have been evaluated in chronic hepatitis B, but none of them have been fully validated for the assessment of liver fibrosis. The issued EASL-ALEH 2015 guidelines provide detailed algorithms based on LSM and ALT serum levels. The aim of our study was to validate the diagnostic accuracy of this algorithm and to better understand discrepancies. Four hundred and thirteen patients from 3 centres were retrospectively included. All included patients were classified for fibrosis stage according to results of a liver biopsy. The overall diagnostic value was expressed with AUROCs given with 95% confidence intervals for the diagnostic targets. For each diagnostic target, optimal cut-offs were determined according to the Youden method. For the population of patients with ALT<N (n = 65), the AUROCs of TE were 0.75 (0.62-0.88) and 0.72 (0.56-0.88) for F ≥ 2 and F ≥ 3 diagnostic targets. Taking the EASL cut-offs, the prevalence of significant fibrosis was 8%, 38% and 67% when LSM was <6kPa, between 6 and 9 kPa or >9 kPa, respectively. For patients with ALT>N but ≤5N (n = 306), AUROCs of transient elastography were 0.79 (0.73-0.84) and 0.84 (0.75-0.92) for F ≥ 2 and F ≥ 3 diagnostic targets. The prevalence of significant fibrosis was, respectively, 15%, 52% and 85% when LSM was <6kPa, between 6 and 12 kPa or >12 kPa. Our study independently validates the EASL-ALEH algorithm based on ALT levels and LSM assessed by transient elastography.

Prediction of hepatic inflammation in chronic hepatitis B patients with a random forest-backward feature elimination algorithm

BACKGROUND

Persistent liver inflammatory damage is the main risk factor for developing liver fibrosis, cirrhosis, and even hepatocellular carcinoma in chronic hepatitis B (CHB) patients. Thus, accurate prediction of the degree of liver inflammation is a high priority and a growing medical need.

AIM

To build an effective and robust non-invasive model for predicting hepatitis B-related hepatic inflammation.

METHODS

A total of 650 treatment-naïve CHB (402 HBeAg-positive and 248 HBeAg-negative) patients who underwent liver biopsy were enrolled in this study. Histological inflammation grading was assessed by the Ishak scoring system. Serum quantitative hepatitis B core antibody (qAnti-HBc) levels and 21 immune-related inflammatory factors were measured quantitatively using a chemiluminescent microparticle immunoassay. A backward feature elimination (BFE) algorithm utilizing random forest (RF) was used to select optional features and construct a combined model. The diagnostic abilities of the model or variables were evaluated based on the estimated area under the receiver operating characteristics curve (AUROC) and compared using the DeLong test.

RESULTS

Four features were selected to predict moderate-to-severe inflammation in CHB patients using the RF-BFE method. These predictive features included qAnti-HBc, ALT, AST, and CXCL11. Spearman’s correlation analysis indicated that serum qAnti-HBc, ALT, AST, and CXCL11 levels were positively correlated with the histology activity index (HAI) score. These selected features were incorporated into the model to establish a novel model named I-3A index. The AUROC [0.822; 95% confidence interval (CI): 0.790-0.851] of the I-3A index was significantly increased compared with qAnti-HBc alone (0.760, 95%CI: 0.724-0.792, P < 0.0001) in all CHB patients. The use of an I-3A index cutoff value of 0.41 produced a sensitivity of 69.17%, specificity of 81.44%, and accuracy of 73.8%. Additionally, the I-3A index showed significantly improved diagnostic performance for predicting moderate-to-severe inflammation in HBeAg-positive and HBeAg-negative CHB patients (0.829, 95%CI: 0.789-0.865 and 0.810, 95%CI: 0.755-0.857, respectively).

CONCLUSION

The selected features of the I-3A index constructed using the RF-BFE algorithm can effectively predict moderate-to-severe liver inflammation in CHB patients.

Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study

BACKGROUND & AIMS

Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort.

METHODS

A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis-4 (FIB-4) score, non-alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all-cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs).

RESULTS

During a mean follow-up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan-Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable-adjusted HRs (95% CIs) of the highest group of FIB-4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32-2.33), 2.37 (1.70-3.33), 2.44 (1.61-3.73), 1.58 (1.16-2.14) and 1.27 (1.03-1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all-cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C-statistic for CVOs.

CONCLUSIONS

The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.

A non-invasive model for predicting liver fibrosis in HBeAg-positive patients with normal or slightly elevated alanine aminotransferase

ABSTRACT

Early and accurate diagnosis of liver fibrosis is necessary for HBeAg-positive chronic hepatitis B (CHB) patients with normal or slightly increased alanine aminotransferase (ALT), Liver biopsy and many non-invasive predicting markers have several application restrictions in grass-roots hospitals. We aimed to construct a non-invasive model based on routinely serum markers to predict liver fibrosis for this population.A total of 363 CHB patients with HBeAg-positive, ALT ≤2-fold the upper limit of normal and liver biopsy data were randomly divided into training (n = 266) and validation groups (n = 97). Two non-invasive models were established based on multivariable logistic regression analysis in the training group. Model 2 with a lower Akaike information criterion (AIC) was selected as a better predictive model. Receiver operating characteristic (ROC) was used to evaluate the model and was then independently validated in the validation group.The formula of Model 2 was logit (Model value) = 5.67+0.08 × Age -2.44 × log10 [the quantification of serum HBsAg (qHBsAg)] -0.60 × log10 [the quantification of serum HBeAg (qHBeAg)]+0.02 × ALT+0.03 ×  aspartate aminotransferase (AST). The area under the ROC curve (AUC) was 0.89 for the training group and 0.86 for the validation group. Using 2 cut-off points of -2.61 and 0.25, 59% of patients could be identified with liver fibrosis and antiviral treatment decisions were made without liver biopsies, and 149 patients were recommended to undergo liver biopsy for accurate diagnosis.In this study, the non-invasive model could predict liver fibrosis and may reduce the need for liver biopsy in HBeAg-positive CHB patients with normal or slightly increased ALT.

Diagnostic Performance of FibroTouch Ultrasound Attenuation Parameter and Liver Stiffness Measurement in Assessing Hepatic Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease

INTRODUCTION

To evaluate the diagnostic performance of ultrasound attenuation parameter (UAP) and liver stiffness measurement (LSM) by FibroTouch for diagnosis of hepatic steatosis and fibrosis in patients with nonalcoholic fatty liver disease (NAFLD).

METHODS

We recruited 237 patients undergoing FibroTouch and liver biopsy within 2 weeks. The pathological findings of liver biopsy were scored by Nonalcoholic Steatohepatitis Clinical Research Network, and the diagnostic accuracy of UAP for steatosis and LSM for fibrosis was evaluated by area under the receiver operating characteristic curve (AUROC). The impacts of histological parameters on UAP and LSM were analyzed, and diagnostic performance of FibroTouch UAP and LSM was compared with other noninvasive biomarkers.

RESULTS

The success rate of FibroTouch examination was 96.51%. The AUROC of UAP for diagnosis of steatosis ≥S1, ≥S2, and S3 was 0.88, 0.93, and 0.88, and the cutoff values were 244, 269, and 296 dB/m, respectively. The AUROC of LSM for the diagnosis of fibrosis stages ≥F2, ≥F3, and F4 was 0.71, 0.71, and 0.77, and the cutoff values were 9.4, 9.4, and 11 kPa, respectively. Multiple regression analysis showed that LSM was positively correlated with degree of fibrosis and NAFLD activity score. UAP was positively correlated with liver steatosis. The diagnostic performance of UAP for steatosis was significantly superior to that of the hepatic steatosis index.

DISCUSSION

FibroTouch has a low failure rate with moderate to high diagnostic performance for discriminating the steatosis degree and fibrosis stage and is suitable for clinical evaluation and monitoring of patients with NAFLD.

Liver Fibrosis Scoring Systems as Novel Tools for Predicting Cardiovascular Outcomes in Patients Following Elective Percutaneous Coronary Intervention

Background

Previous studies have suggested a strong association of liver fibrosis scores (LFSs) with cardiovascular outcomes in patients with different cardiovascular diseases. Nonetheless, it is basically blank regarding the prognostic significance of LFSs in patients following percutaneous coronary intervention (PCI). This study sought to examine the potential role of LFSs in predicting long‐term outcomes in a large cohort of patients with stable coronary artery disease after elective PCI.

Methods and Results

In this multicenter, prospective study, we consecutively enrolled 4003 patients with stable coronary artery disease undergoing PCI. Eight currently available noninvasive LFSs were assessed for each subject. All patients were followed up for the occurrence of cardiovascular events including cardiovascular death, nonfatal myocardial infarction, and stroke. During an average follow‐up of 5.0±1.6 years, 315 (7.87%) major cardiovascular events were recorded. Subjects who developed cardiovascular events were more likely to have intermediate or high LFSs, including nonalcoholic fatty liver disease fibrosis score; fibrosis‐4 score; body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes mellitus score (BARD); and aspartate aminotransferase/alanine aminotransferase ratio. Furthermore, compared with subjects with low scores, those with intermediate plus high score levels had significantly increased risk of cardiovascular events (adjusted hazard ratios ranging 1.57–1.92). Moreover, the addition of non‐alcoholic fatty liver disease fibrosis score; fibrosis‐4 score; or body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes mellitus score into a model with established cardiovascular risk factors significantly improved the prediction ability.

Conclusions

High LFSs levels might be useful for predicting adverse prognosis in patients with stable coronary artery disease following PCI, suggesting the possibility of the application of LFSs in the risk stratification before elective PCI.

Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma

Background

Testing for the presence of liver cirrhosis (LC) is one of the most critical diagnostic and prognostic assessments for patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). More non-invasive tools are needed to diagnose LC but the predictive abilities of current models are still inconclusive. This study aimed to develop and validate a novel and non-invasive artificial neural network (ANN) model for diagnosing LC in patients with HBV-related HCC using routine laboratory serological indicators.

Methods

A total of 1152 HBV-related HCC patients who underwent hepatectomy were included and randomly divided into the training set (n = 864, 75%) and validation set (n = 288, 25%). The ANN model was constructed from the training set using multivariate Logistic regression analysis and then verified in the validation set.

Results

The morbidity of LC in the training and validation sets was 41.2% and 46.8%, respectively. Multivariate analysis showed that age, platelet count, prothrombin time and total bilirubin were independent risk factors for LC (P < 0.05). The area under the ROC curve (AUC) analyses revealed that the ANN model had higher predictive accuracy than the Logistic model (ANN: 0.757 vs Logistic: 0.721; P < 0.001), and other scoring systems (ANN: 0.757 vs CP: 0.532, MELD: 0.594, ALBI: 0.575, APRI: 0.621, FIB-4: 0.644, AAR: 0.491, and GPR: 0.604; P < 0.05 for all) in diagnosing LC. Similar results were obtained in the validation set.

Conclusion

The ANN model has better diagnostic capabilities than other commonly used models and scoring systems in assessing LC risk in patients with HBV-related HCC.

Consensus on the diagnosis and treatment of hepatic fibrosis (2019)

Hepatic fibrosis is a reparative response of diffuse over-deposition and abnormal distribution of extracellular matrix (collagen, glycoprotein and proteoglycans) after exposure to various kinds of liver injuries, and is a key step in the developmental process of various chronic liver diseases leading to cirrhosis. Recently, many advances in our understanding of hepatic fibrosis have been obtained through basic and clinical research. Therefore, this consensus summarizes and offers 15 evidence-based recommendations on the diagnosis and evaluation of hepatic fibrosis, its treatment, drug development and applications.

Investigation of house dust mite induced allergy using logistic regression in West Bengal, India

BACKGROUND

The diagnosis of house dust mite (HDM) allergy based on Skin prick test (SPT) is not accurate, especially in lower risk cases. Our aim is to develop and validate a predictive model to diagnose the HDM allergic symptoms (urticaria, allergic rhinitis, asthma).

METHODS

A forward-step logistic regression model was developed using a data set of 537 patients of West Bengal, India consisting of clinical variables (SPT based on 6 allergens of house dust and house dust mites, total IgE) and demographic characteristics (age, sex, house conditions). The output probability was estimated from the allergic symptoms shown by the patients. We finally prospectively validated a data set of 600 patients.

RESULTS

The gradual inclusion of the variables increased the correlation between observed and predicted probabilities (correlation coefficient (r2) = 0.97). The model development using group-1 showed an accuracy rate of 99%, sensitivity and specificity of 99.7% and 88.6% respectively and the area under the receiver operating characteristics (ROC) curve (AUC) of 99%. The corresponding numbers for the validation of our model with group-2 were 87%, 95.6% and 66% and 86% respectively. The model predicted the probability of symptoms better than SPTs in combination (accuracy rate 0.76-0.80), especially in lower risk cases (probability< 0.8) that are highly difficult to diagnose.

CONCLUSION

This is perhaps the first attempt to model the outcome of HDM allergy in terms of symptoms, which could open up an alternative but highly efficient way for accurate diagnosis of HDM allergy enhancing the efficiency of immunotherapy.

Noninvasive indicators predict advanced liver fibrosis in autoimmune hepatitis patients

BACKGROUND

Liver biopsy is the criterion standard for diagnosing liver fibrosis, but it is not widely used to monitor liver fibrosis because of the invasiveness, risk of complications, and sample errors. Therefore, it is necessary to involve other techniques to monitor liver fibrosis or cirrhosis during clinical practice. The objective was to explore noninvasive indicators to predict advanced liver fibrosis in autoimmune hepatitis (AIH) patients.

METHODS

A total of 45 AIH patients and 47 healthy controls were recruited to this retrospective study. Complete blood count and liver function tests were performed for all subjects. AIH patients were divided into "no/minimal fibrosis" group and "advanced fibrosis" group based on liver biopsy.

RESULTS

AIH patients demonstrated significantly higher monocytes, MCV, RDW-CV, RDW-SD, NLR, RDW-CV/PLT, RDW-SD/PLT, TBIL, DBIL, GLB, ALT, AST, GGT, ALP, and GPR and lower WBC, neutrophils, lymphocytes, RBC, HGB, HCT, LMR, TP, ALB, and AAR compared with healthy controls. Patients with advanced fibrosis showed remarkably higher RDW-CV, RDW-SD, RDW-CV/PLT, RDW-SD/PLT, AAR, and FIB-4 and lower RBC, PLT, PCT, and ALB compared with the no/minimal fibrosis group. Logistic regression analysis showed that RDW-SD/PLT was an independent risk factor for advanced fibrosis with an OR (95% CI) of 2.647 (1.383-5.170). Receiver operating characteristic (ROC) analysis revealed that RDW-SD, RDW-CV/PLT, RDW-SD/PLT, FIB-4, and AAR had an area under the ROC curve (AUC) above 0.700 and RDW-SD/PLT had the largest AUC of 0.785 with a cutoff value of 0.239.

CONCLUSION

RDW-SD, RDW-CV/PLT, RDW-SD/PLT, FIB-4, and AAR were excellent noninvasive biomarkers and RDW-SD/PLT was an independent risk factor for predicting advanced fibrosis in AIH patients.

Investigating the Efficiency of APRI, FIB-4, AAR and AARPRI as Noninvasive Markers for Predicting Hepatic Fibrosis in Chronic Hepatitis B Patients in Bangladesh

Background and Aims:

Accurate, affordable non-invasive markers are highly needed for efficient diagnosis and management of liver fibrosis caused by chronic hepatitis B. This is the first study to investigate the diagnostic efficiency of Aspartate Transaminase to Platelet Ratio (APRI), Fibrosis Index (FIB-4), Aspartate transaminase to Alanine Transaminase Ratio (AAR) and AAR/Platelet ratio index (AARPRI) as non-invasive markers to predict hepatic fibrosis caused by Chronic Hepatitis B (CHB) in Bangladesh.

Methods:

In this study, a training cohort of 1041 CHB patients were recruited, whereas 104 and 109 CHB patients of matched ages were recruited as internal and external validation cohort groups respectively. Histological and hematological data were analyzed. METAVIR scoring system was used to classify liver fibrosis stages. Area Under Receiver Operating Curve (AUROC), correlations and cutoff values for the four diagnostic markers were calculated and assessed.

Results:

92%, 81% and 84% of the patients had liver fibrosis in the training cohort, internal and external cohort groups respectively. Among the four noninvasive panels, APRI showed the best area under ROC; (0.767, CI: 0.780-0.914; 0.775) for the training cohort, (0.775, CI: 0.693-0.857), and (0.847, CI: 0.780-0.914) for the internal and external cohorts respectively. Cut-off value of APRI was 0.512 with sensitivity/specificity of 84%/67% in training cohort, 81% / 66% in the internal cohort, and 88% / 66% in an external cohort. The odds ratio for APRI was 32.95 (95%CI: 4.746-228.862,p<0.001).

Conclusion:

Among all the four tested markers, APRI is the most accurate non-invasive test to predict major liver fibrosis (F2-3) in Bangladeshi CHB patients.

Clinical noninvasive markers for antiviral therapy decision in chronic hepatitis B with alanine aminotransferase less than two times upper limit of normal

Liver biopsy is the reference method for antiviral therapy decision-making in chronic hepatitis B (CHB) when alanine aminotransferase (ALT) is less than two times of upper limit of normal (<2ULN). Our aim was to explore noninvasive markers for antiviral therapy decision in CHB with ALT <2ULN. A total of 452 treatment-naïve CHB patients with ALT < 2ULN who had undergone liver biopsy were analysed in this prospective multi-centre study. If liver biopsy showed moderate or severe inflammation (histology activity index ≥ 5) or significant fibrosis (Ishak fibrosis score ≥ 3), antiviral treatment was recommended. We analysed data using univariate and multivariate analyses and receiver operating characteristic curves (ROC). Two hundred and sixty-nine (59.5%) of 452 cases with ALT < 2ULN had moderate, severe or significant inflammation. Aspartate aminotransferase (AST) (P = 0.03), anti-hepatitis B virus core antibody (anti-HBc) (P = 0.003) and liver stiffness measurement (LSM) (P = 0.000) were independent variables for antiviral therapy decision-making, with area under the ROC curve (AUROC) of 0.718, 0.703 and 0.819, respectively. Our novel AAF index, which combined AST, anti-HBc and LSM, showed better performance with AUROC of 0.876, 0.877 and 0.876 in estimation, validation and total set. Finally, 247 (54.6%) of 452 patients could avoid liver biopsy based on AAF index. Furthermore, performances of 23 noninvasive models were unsatisfactory for antiviral therapy decision with AUROC < 0.800, which were inferior to AAF index. In conclusion, AST, anti-HBc and LSM were related to antiviral therapy decision-making among CHB patients with ALT < 2ULN. Thus, the novel AAF index was a more reliable noninvasive model for antiviral therapy decision-making.

Evaluation and comparison of thirty noninvasive models for diagnosing liver fibrosis in chinese hepatitis B patients

The limitations of liver biopsy have led to the development of indirect noninvasive models for liver fibrosis assessment. We aimed to evaluate and compare the performance of 30 noninvasive models to predict fibrosis stage in treatment-naïve and treated chronic hepatitis B (CHB) patients. A total of 576 Chinese treatment-naïve CHB patients and 236 treated CHB patients who had undergone percutaneous liver biopsy were included in the analysis. Histological grading and staging was assessed by the Ishak scoring system. The diagnostic accuracies of 30 noninvasive models were assessed by area under the receiver operating characteristic curves (AUROCs). In treatment-naïve CHB patients, the AUROCs of the 30 noninvasive models for discriminating significant fibrosis (SF) were less than 0.800, and only the AUROC of the PP score for diagnosing advanced fibrosis (AF) was more than 0.800, while the AUROCs of FIB-4, FibroQ, HB-F, Lok index, PHP score and PP score for predicting cirrhosis were greater than 0.800. In treated CHB patients, only the AUROCs of APRI, GUCI, King's score and Wang I for identifying cirrhosis were more than 0.800. The Spearman correlation analysis identified that only the changes in FCI and Virahep-C model values were weakly correlated with changes in Ishak fibrosis scores before and after treatment (r = 0.206, p = 0.008; r = 0.187, p = 0.016, respectively). In conclusion, in Chinese CHB patients, the 30 existing noninvasive models were not suitable for assessing each stage of fibrosis except cirrhosis before and after antiviral therapy, especially in gauging progression and regression of liver fibrosis following therapy.

Association of coffee consumption and liver fibrosis progression in patients with HBeAg-negative chronic hepatitis B: A 5-year population-based cohort study

BACKGROUND/PURPOSE

Although coffee consumption has been associated with decreased risk of liver fibrosis progression, cirrhosis or hepatocellular carcinoma in patients with HCV infection or fatty liver diseases, its effect on hepatitis B patients remains unclear. We aimed to examine the effect of coffee consumption on liver fibrosis progression and cirrhosis-related complications in patients with chronic HBV infection.

METHODS

Coffee consumption was assessed in 2604 participants who were previously recruited from a population-based GERD survey. The primary endpoints of this study were the impact of coffee consumption on the development of cirrhosis-related complications, including liver cirrhosis, esophageal varices, or hepatocellular carcinoma at the end of 5-year follow-up. The secondary endpoints were the declines of serum predicting indices of liver fibrosis (AST/ALT, APRI, FIB-4, Hui score) or liver function tests (AST, ALT).

RESULTS

328 patients with chronic HBV infection were enrolled into this study. At baseline, coffee consumption was associated with higher education level, more frequent tobacco use and normal blood pressure (p < 0.05 for all). Patients with higher coffee consumption had a significant lower serum AST, APRI and FIB-4 index value than non-coffee drinkers [adjusted HR 0.30, 95% CI(0.11-0.82) for AST; 0.30, 95% CI (0.11-0.84) for APRI; 0.30, 95% CI (0.13-0.69) for FIB-4]. However, higher coffee consumption didn't change serum AST levels, APRI, FIB-4 index values or incidences of cirrhosis-related complications at the end of 5-year follow-up.

CONCLUSION

Coffee consumption was not associated with fibrosis progression or HCC risk in chronic hepatitis B patients over the 5-year observation period.

Non-invasive assessments for liver fibrosis: The crystal ball we long for

Non-invasive assessment of liver fibrosis has been one of the most rapidly advancing fields in hepatology in the last decade. Progressive liver fibrosis results in cirrhosis, hepatocellular carcinoma (HCC), and various liver-related complications in essentially all chronic liver diseases. Assessment of liver fibrosis allows clinicians to determine the prognosis, need of treatment, disease progression, and response to treatment in patients with chronic liver disease. Liver biopsy has been the gold standard in last few decades and most adopted diagnostic tool in clinical trials. Nonetheless, it is impractical to apply the test in a large number of patients or to do it serially. Hence, various non-invasive assessments have been developed and adopted in some international management guidelines. Liver stiffness measurement (LSM) with transient elastography is one of the most widely validated non-invasive assessments for liver fibrosis. It is an accurate and reproducible method to predict advanced fibrosis in chronic hepatitis B. Using transient elastography, it is possible to perform repeated liver fibrosis assessments on a large number of asymptomatic patients. The key challenge of his tool is the confounding effect of alanine aminotransferase (ALT) level, such that decrease in LSM may only reflect ALT normalization, hence not accurate enough to indicate regression of liver fibrosis. This may be partially handled by combining LSM with a serum-based formula, which is independent of ALT such as the Forns index and enhanced liver fibrosis test. An LSM-based HCC risk score is useful to prioritize patients for HCC surveillance.

Serum YKL-40 as a biomarker for liver fibrosis in chronic hepatitis B patients with normal and mildly elevated ALT

Purpose

YKL-40 is a chitinase-like protein expressed in multiple tissues including liver and is reported as a fibrosis marker. This study aimed to determine whether YKL-40 could serve as a diagnostic marker for the assessment of liver fibrosis in chronic hepatitis B patients with normal and mildly elevated ALT.

Methods

Six hundred and eighty-five patients with chronic hepatitis B infection were enrolled in this study from October 2013 to March 2016. All patients underwent liver biopsy and then staged based on Ishak histological system. Serum YKL-40 levels were measured by Human Magnetic Luminex Assays.

Results

Among chronic hepatitis B patients with normal and mildly elevated ALT, almost more than 30% of patients have significant liver fibrosis. Serum YKL-40 levels increased significantly in parallel with the progression of fibrosis in patients with ALT less than two times the upper limit of normal range (P < 0.0001). Multivariate analysis revealed that serum YKL-40, hyaluronic acid, PLT, and AST were independently associated with significant fibrosis. We established a novel YKL-40-based fibrosis model for patients with ALT less than two times the upper limit of normal range (ULN). YKL-40 model was superior to APRI, FIB-4, Forns’ index, and Hui model for diagnosis of significant fibrosis in patients with ALT < 2ULN, with AUROCs of 0.786 [95% confidence interval (CI) 0.726–0.846] in the training group, 0.831 (95%CI 0.752–0.910) in the validation group and 0.801 (95%CI 0.753–0.849) in the entire cohort.

Conclusion

Serum YKL-40 is a feasible biomarker of liver fibrosis in chronic hepatitis B patients. YKL-40 model was superior to APRI, FIB-4, Forns’ index and Hui model for diagnosis of significant fibrosis in patients with normal and mildly elevated ALT.

Electronic supplementary material

The online version of this article (10.1007/s15010-018-1136-2) contains supplementary material, which is available to authorized users.

Serum autotaxin is a useful liver fibrosis marker in patients with chronic hepatitis B virus infection

AIM

Autotaxin (ATX) is a secreted enzyme that is considered to be associated with liver damage as well as fibrosis. This study assessed the ability of ATX to diagnose liver fibrosis in patients with chronic hepatitis B virus (HBV) infection.

METHODS

Serum ATX levels were retrospectively evaluated in 101 treatment-naïve patients with HBV-related chronic hepatitis or cirrhosis, all of whom had undergone liver biopsy at our hospital.

RESULTS

Serum ATX concentration increased significantly according to liver fibrosis stage in overall (r = 0.46, P < 0.0001), male (r = 0.55, P < 0.0001), and female (r = 0.52, P = 0.0006) patient groups. When analyzed by gender, serum ATX was one of the most reliable markers for all fibrosis stages compared with other tested non-invasive markers, which included hyaluronic acid, type IV collagen 7S, aspartate aminotransferase-to-platelet ratio index, and fibrosis index based on four factors, according to receiver operating characteristic curve analysis.

CONCLUSION

Based on this histologically proven data, ATX represents a novel non-invasive biomarker for liver fibrosis in HBV-infected patients.

Assessment of liver fibrosis in Egyptian chronic hepatitis B patients: A comparative study including 5 noninvasive indexes

Fibrosis assessment in chronic hepatitis B (CHB) is essential for prediction of long-term prognosis and proper treatment decision. This study was conducted to assess predictability of 5 simple noninvasive fibrosis indexes in comparison to liver biopsy in CHB patients.A total of 200 CHB adult Egyptian patients were consecutively included in this study, all were subjected to liver biopsy with staging of fibrosis using METAVIR scoring system. Fibrosis indexes including S-index, red cell distribution width to platelets ratio index (RPR), fibrosis-4 index (Fib-4), AST to platelets ratio index (APRI), and AST/ALT ratio index (AAR) were compared to biopsy result and their predictabilities for the different fibrosis stages were assessed using area under receiver operating characteristic curve (AUROC) analysis.S-index showed the highest AUROCs for predicting fibrosis among the studied indexes. AUROCs of S-index, RPR, Fib-4, APRI, and AAR were: 0.81, 0.67, 0.70, 0.68, and 0.60 for prediction of significant fibrosis (F2-F4), 0.90, 0.66, 0.68, 0.67, and 0.57 for advanced fibrosis (F3-F4), and 0.96, 0.62, 0.61, 0.57, and 0.53 for cirrhosis (F4), respectively. The optimal S-index cutoff for ruling in significant fibrosis was ≥0.3 with 94% specificity, 87% PPV, and 68% accuracy, while that for ruling out significant fibrosis was <0.1 with 96% sensitivity, 91% NPV, and 67% accuracy. Accuracy of S-index was higher for predicting cirrhosis (91%) than that for predicting advanced fibrosis (79%) and significant fibrosis (68%).S-index has the highest predictability for all fibrosis stages among the studied fibrosis indexes in HBeAg-negative CHB patients, with higher accuracy in cirrhosis than in the earlier fibrosis stages.

Diverse correlations between fibrosis-related factors and liver stiffness measurement by transient elastography in chronic hepatitis B

BACKGROUND

Several fibrosis-related factors influence liver stiffness measurements (LSM); however, these changes have not been investigated in the context of the various disease stages of chronic hepatitis B (CHB).

AIM

The aim of this study was to assess the correlations between fibrosis-related factors and LSM in different disease stages of CHB.

PATIENTS AND METHODS

Patients with mild CHB (n=305) and cirrhotic hepatitis B (cirrhotic HB) (n=137) were compared with determine the relationship between LSM and fibrosis-related factors including parameters of liver inflammation [aminotransferase (ALT), aspartate transaminase (AST), total bilirubin (Tbil)], albumin, globulin, peripheral blood cells (neutrophil granulocytes, red blood cells, platelets), abdominal ultrasound B-scan parameters including right liver thickness, portal vein inradium, diameter of spleen (DS), thickness of spleen (TS), and splenic vein inradium (SV).

RESULTS

In patients with mild CHB, LSM was correlated strongly with ALT (r=0.3534, P<0.0001), AST (r=0.3976, P<0.0001), and ALT+AST (r=0.3760, P<0.0001). LSM was correlated closely with Tbil (r=0.2237, P<0.0001), albumin (r=-0.3126, P<0.0001), albumin/globulin (r=-0.3086, P<0.0001), SV (r=0.3317, P<0.0001), DS (r=0.4157, P<0.0001), and spleen volume (DS×TS) (r=-0.4399, P<0.0001). Red blood cells were correlated negatively with LSM in both mild CHB and cirrhotic HB patients (r=-0.1981, P=0.0203; r=-0.1593, P=0.0053). LSM was not correlated with age, peripheral blood cell parameters, right liver thickness, portal vein inradium, or TS in mild CHB or cirrhosis HB patients. However, in patients with cirrhotic HB, LSM values were not correlated significantly with other fibrosis-related factors, except for Tbil (r=0.2272, P=0.0076).

CONCLUSION

Our findings suggest that the magnitude of these correlations differs significantly between mild CHB and cirrhotic HB patients.

Prospects in non-invasive assessment of liver fibrosis: Liquid biopsy as the future gold standard?

Liver fibrosis is the result of persistent liver injury, and is characterized by sustained scar formation and disruption of the normal liver architecture. The extent of fibrosis is considered as an important prognostic factor for the patient outcome, as an absence of (early) treatment can lead to the development of liver cirrhosis and hepatocellular carcinoma. Till date, the most sensitive and specific way for the diagnosis and staging of liver fibrosis remains liver biopsy, an invasive diagnostic tool, which is associated with high costs and discomfort for the patient. Over time, non-invasive scoring systems have been developed, of which the measurements of serum markers and liver stiffness are validated for use in the clinic. These tools lack however the sensitivity and specificity to detect small changes in the progression or regression of both early and late stages of fibrosis. Novel non-invasive diagnostic markers with the potential to overcome these limitations have been developed, but often lack validation in large patient cohorts. In this review, we will summarize novel trends in non-invasive markers of liver fibrosis development and will discuss their (dis-)advantages for use in the clinic.

A model to predict the onset of non-alcoholic fatty liver disease within 2 years in elderly adults

BACKGROUND AND AIM

Non-alcoholic fatty liver disease (NAFLD) is a common cause of chronic hepatitis, which leads to cirrhosis and hepatocellular carcinoma. However, it is difficult to identify subjects at high risk for NAFLD onset. This study aims to construct a model to predict the onset of NAFLD within 2 years in elderly adults.

METHODS

This study included and followed 3378 initial NAFLD-free subjects aged 60 years or over for 2 years, which were randomly divided into a training set and a validation set. NAFLD was diagnosed on ultrasound. Clinical and laboratory data were recorded at baseline. A model was constructed in the training set to predict the onset of NAFLD and validated in the validation set.

RESULTS

Body mass index, hemoglobin, fasting blood glucose, and triglycerides were identified as predictors for the onset of NAFLD. A risk score (R) was calculated by them. It classified the subjects into low-risk group (R ≤ -2.88), moderate-risk group (-2.88 < R ≤ -1.26), and high-risk group (R > -1.26). In the training set, 4.68% of the participants in the low-risk group, 11.59% of the participants in the moderate-risk group, and 31.02% of the participants in the high-risk group developed NAFLD. In the validation set, 5.84% of the participants in the low-risk group, 10.57% of the participants in the moderate-risk group, and 29.44% of the participants in the high-risk group developed NAFLD.

CONCLUSIONS

This study developed a model to predict the onset of NAFLD in elderly adults, which might provide indications for intervention to these subjects.

Angiopoietin-like protein as a novel marker for liver fibrosis in chronic hepatitis B patients with normal to minimally raised ALT

Background

For hepatitis B patients who do not meet the treatment criteria recommended by guidelines, therapy decisions depend on hepatic histology. Angiopoietin-like protein 2 (Angptl2) is a mediator of chronic inflammation that contributes to extracellular matrix remodeling. The aim of this study was to explore the predictive value of Angptl2 as a novel biomarker of liver histology.

Methods

Hepatitis B patients with normal to minimally raised ALT were recruited. Serum Angptl2 concentrations were detected using commercial ELISA kit. The fibrosis score were assessed according to Ishak criteria. Significant fibrosis was defined as ISHAK score ≥ 3.

Results

Of 460 patients, 223 cases served as training cohort and 237 ones as validation cohort. Serum Angptl2 concentration was significantly associated with fibrosis scores in both training and validation group. Angptl2 combined index (ACI) for assessing significant fibrosis was developed from training cohort, based on Angptl2 and conventional variables. ACI showed areas under receiver-operating characteristic curve (AUC) of 0.835 for predicting significant fibrosis, which was superior to APRI (AUC = 0.776, P = 0.049), FIB-4 (AUC = 0.750, P = 0.010), Hui model (AUC = 0.756, P = 0.028), and had a better trend than Forn’s index (AUC = 0.796, P = 0.083) in training cohort. Finally, validation cohort revealed its robustness and reliability.

Conclusion

Higher Angptl2 level represents as a potential biomarker independently associated with fibrosis stages. Compared with APRI, Hui model, FIB-4, Forn’s index, ACI did better in diagnosing significant fibrosis in hepatitis B patients.

Trial registration

The complete clinical trials protocol is available by request at clinicaltrials.gov (NCT01962155) and chictr.org (ChiCTR-DDT-13003724).

Electronic supplementary material

The online version of this article (10.1186/s12879-017-2728-7) contains supplementary material, which is available to authorized users.

Serum hepatitis B core antibody titer use in screening for significant fibrosis in treatment-naïve patients with chronic hepatitis B

Background

Previous studies have revealed that hepatitis B core antibody (anti-HBc) levels vary throughout the different phases of treatment-naïve chronic hepatitis B (CHB) patients and can be used as a predictor of treatment response in both interferon-α and nucleoside analogue therapies. However, few data have been published regarding the relationship between quantitative anti-HBc (qAnti-HBc) levels and liver fibrosis in patients with CHB.

Results

A total of 489 HBeAg-positive (HBeAg (+)) and 135 HBeAg-negative (HBeAg (−)) patients were recruited. In both HBeAg (+) and HBeAg (−) groups, the S0−1/S0 subjects had significantly lower qAnti-HBc levels than the S2−4 subjects (p < 0.05). Multiple logistic regression analysis showed that the parameters for predicting significant fibrosis (S ≥ 2) included age, PLT and qAnti-HBc. In HBeAg (+) subjects, the AUROC of qAnti-HBc for predicting significant fibrosis was 0.734 (95% CI 0.689 to 0.778) and the optimal cut-off was 4.58 log10IU/mL, with a sensitivity of 63.08% and a specificity of 74.83%. In HBeAg (−) subjects, the AUROC was 0.707 (95% CI 0.612 to 0.801) and the optimal cut-off value was 4.37 log10IU/mL, with a sensitivity of 75.53% and a specificity of 56.10%.

Materials and Methods

From 2012 to 2015, we conducted a cross-sectional study of treatment-naïve CHB patients. Liver biochemistry, hepatitis B virus (HBV) serological markers, HBV DNA, hepatitis B surface antigen (HBsAg) titers and HBV genotype were determined using commercial assays, and serum qAnti-HBc levels were measured using double-sandwich immunoassay. Liver biopsies and serum samples were obtained on the same day.

Conclusions

The present study showed an association between high serum qAnti-HBc levels and significant fibrosis (S ≥ 2) in treatment-naïve CHB patients. Furthermore, we described a serum qAnti-HBc cut-off for predicting significant fibrosis in CHB patients infected with HBV genotype B or C.

A novel predictive model using routinely clinical parameters to predict liver fibrosis in patients with chronic hepatitis B

Objectives

Noninvasive models have been established for the assessment of liver fibrosis in patients with chronic hepatitis B(CHB). However, the predictive performance of these established models remains inconclusive. We aimed to develop a novel predictive model for liver fibrosis in CHB based on routinely clinical parameters.

Results

Platelets(PLT), the standard deviation of red blood cell distribution width(RDW-SD), alkaline phosphatase(ALP) and globulin were independent predictors of significant fibrosis by multivariable analysis. Based on these parameters, a new predictive model namely APRG(ALP/PLT/RDW-SD/globulin) was proposed. The areas under the receiver-operating characteristic curves(AUROCs) of APRG index in predicting significant fibrosis(≥F2), advanced fibrosis(≥F3) and liver cirrhosis(≥F4) were 0.757(95%CI 0.699 to 0.816), 0.763(95%CI 0.711 to 0.816) and 0.781(95%CI 0.728 to 0.835), respectively. The AUROCs of the APRG were significantly higher than that of aspartate transaminase(AST) to PLT ratio index(APRI), RDW to PLT ratio(RPR) and AST to alanine aminotransferase ratio(AAR) to predict significant fibrosis, advanced fibrosis and cirrhosis. The AUROCs of the APRG were also significantly higher than fibrosis-4 score (FIB-4) (0.723, 95%CI 0.663 to 0.783) for cirrhosis(P=0.034) and better than gamma-glutamyl transpeptidase(GGT) to PLT ratio(GPR) (0.657, 95%CI 0.590 to 0.724) for significant fibrosis(P=0.001).

Materials and Methods

308 CHB patients who underwent liver biopsy were enrolled. The diagnostic values of the APRG for liver fibrosis with other noninvasive models were compared.

Conclusions

The APRG has a better diagnostic value than conventionally predictive models to assess liver fibrosis in CHB patients. The application of APRG may reduce the need for liver biopsy in CHB patients in clinical practice.

A novel noninvasive algorithm for the assessment of liver fibrosis in patients with chronic hepatitis B virus infection

Several noninvasive blood biomarkers have been established for the assessment of liver fibrosis in patients with chronic hepatitis B virus (HBV) infection, but their clinical performance remains inconclusive. Here, we compared the diagnostic performance of these biomarkers and developed a novel algorithm for assessing liver fibrosis. Six hundred and sixteen chronically HBV-infected and treatment-naïve patients who underwent liver biopsy were enrolled and randomly divided into training (N=410) and internal validation cohorts (N=206). One hundred and fifty-nine patients from another centre were recruited as an external validation cohort. Receiver operating characteristic (ROC) curves were used to analyse the performance of the gamma-glutamyltransferase-to-platelet ratio (GPR), red cell volume distribution width-to-platelet ratio (RPR), FIB-4 index, aspartate aminotransferase-to-platelet ratio index (APRI) and HBV DNA level against liver histology, and a novel algorithm was developed using the recursive partitioning and regression tree (RPART) method. In the training cohort, the area under the ROC curve of FIB-4 was significantly higher than that of APRI (P=.038) but was comparable to those of GPR, RPR and HBV DNA; however, the performance of the biomarkers was similar among the validation cohort. The established RPR-HBV DNA algorithm performed better in the training cohort than any individual blood biomarker, and the corresponding sensitivity, specificity, positive predictive value and negative predictive value were 63%, 90%, 72% and 80%, respectively. In the internal and external validation cohorts, the performance of the algorithm in assessing liver fibrosis was also superior to that of other biomarkers. These results suggest that the established RPR-HBV DNA algorithm might improve the diagnostic accuracy of liver fibrosis in treatment-naïve patients with chronic HBV infection, although additional studies are warranted to confirm these findings.

Serum hepatitis B core antibody as a biomarker of hepatic inflammation in chronic hepatitis B patients with normal alanine aminotransferase

Our previous studies unexpectedly indicated that the level of serum hepatitis B core antibody (anti-HBc) was positively correlated with the serum alanine aminotransferase (ALT) level. The aim of this study was to determine whether anti-HBc could serve as a potential biomarker for the detection of liver inflammation in chronic hepatitis B (CHB) patients, especially in patients with normal ALT levels. Serum anti-HBc levels were quantified in 655 treatment-naïve CHB patients, including 45 patients who underwent two liver biopsies (baseline phase and the 78^th weeks of antiviral-treatment). Serum anti-HBc levels increased significantly along with the increasing histology activity index (HAI) score. After antiviral-treatment, patients with HAI score reduction had significant decline in serum anti-HBc level. Multivariate analysis showed that anti-HBc was independently associated with moderate-to-severe hepatic inflammation in patients with normal ALT level. Furthermore, serum anti-HBc showed a high diagnostic accuracy for predicting moderate-to-severe inflammation in both hepatitis B e antigen (HBeAg)-positive and HBeAg-negative CHB patients with normal ALT levels (area under the curve, AUC = 0.87 and 0.75; respectively). Thus, anti-HBc may be a strong indicator for assessing the hepatic inflammatory degree and used for antiviral treatment decisions in CHB patients with normal ALT levels.

Non-invasive assessment of liver fibrosis in patients with HBV-related chronic liver disease undergoing antiviral treatment: A preliminary study

In chronic hepatitis B (CHB) patients, fibrosis assessment during antiviral treatment is a key step in the clinical management. Aim of this study was to evaluate the performance of elastography in assessing fibrosis stage in CHB before and after two years of nucleoside/nucleotide analogues (NUC) treatment in comparison with indirect serum markers. CHB diagnosis was made according to standard criteria. A clinical and virological evaluation was performed at baseline and again at 3, 6, 9, 12 18, and 24 months during treatment. Fibrosis was evaluated by liver biopsy, elastography and indirect serum markers. Of 75 patients, 50 had CHB, HBeAg negative and were deemed eligible for this study. Of these, 22 underwent liver biopsy. Mean histo-morphometric values of fibrotic tissue differed significantly in the stage < S3 vs. stage ≥S3: 2.01±2.62% vs. 12.85±7.31% (p=0.03), respectively. At 18 and 24 months, stiffness values were statistically reduced from those previously observed (P=0.03 and P<0.001). At 24 months the values of APRI, FIB-4 and LOK were not different from baseline values, while the value of FORNS score at 24 months was the only one statistically reduced. In two patients with fibrosis stage S3 and S6, respectively, fibrosis regressed to stage S2 and S5. In conclusion, the results of the present study show that liver histology, stiffness and FORNS score improve significantly during a long-term follow-up of HBV patients successfully treated with NUC. These results strongly suggest that the non-invasive evaluation of liver fibrosis represents a key step in the management and treatment of chronic HBV hepatitis.

Serum Wisteria floribunda agglutinin-positive human Mac-2 binding protein may predict liver fibrosis and progression to hepatocellular carcinoma in patients with chronic hepatitis B virus infection

AIM

Serum glycosylated Wisteria floribunda agglutinin-positive Mac-2 binding protein (WFA⁺ -M2BP) is a reliable, non-invasive marker of liver fibrosis. This study assessed the ability of WFA⁺ -M2BP to diagnose liver fibrosis in patients with chronic hepatitis B virus (HBV) infection and evaluated WFA⁺ -M2BP as a predictor of hepatocellular carcinoma (HCC) development.

METHODS

Serum WFA⁺ -M2BP values were retrospectively evaluated in 112 treatment-naïve patients with HBV-related chronic hepatitis and cirrhosis who had undergone liver biopsy at our hospital.

RESULTS

Serum WFA⁺ -M2BP levels were significantly related with liver fibrosis (r = 0.3725, P = 0.001). Fibrosis stage F2, F3, and F4 had a cut-off index of 0.94, 1.26, and 1.26, respectively. For diagnosing F ≥ 2 fibrosis, the area under the receiver-operating characteristic curve for WFA⁺ -M2BP was 0.713 and comparable with those of other non-invasive fibrosis markers, such as hyaluronic acid, type IV collagen 7S, aspartate aminotransferase-to-platelet ratio index, fibrosis-4 index, serum albumin, and platelet count. Multivariate analysis identified male, WFA⁺ -M2BP ≥0.71, alanine aminotransferase ≥80 IU/L, and platelet count <14.5 × 10⁹ /L as independent risk factors for the development of HCC in patients with HBV infection.

CONCLUSIONS

Serum WFA⁺ -M2BP values appear to be useful for assessing liver fibrosis stage and are independently associated with HCC development in patients with chronic HBV infection.

Fibrosis assessment in patients with chronic hepatitis B virus (HBV) infection

Chronic hepatitis B virus (HBV) infection is a major cause of liver morbidity and mortality worldwide. While a proportion of the 250 million individuals chronically infected with HBV will not come to significant harm or require therapy, many others risk developing complications of the end-stage liver disease such as decompensated cirrhosis and hepatocellular carcinoma (HCC), without intervention. Due to the complex natural history of HBV infection, patients require an expert assessment to interpret biochemistry, viral serology and appropriately stage the disease, and to initiate monitoring and/or therapy where indicated. The detection and quantification of liver fibrosis is a key factor for disease management and prognostication for an individual with HBV. The reliance on invasive liver biopsy to stage disease is diminishing with the advent of robust non-invasive blood- and imaging-based algorithms which can reliably stage disease in many cases. These tests are now incorporated into International guidelines for HBV management and relied upon daily to inform clinical judgement. Both blood- and imaging-based approaches have advantages over liver biopsy, including minimal risks, lower cost, better patient acceptance and speed of results, while disadvantages include lower diagnostic accuracy in intermediate disease stages and variability with co-existing hepatic inflammation or steatosis. This review outlines the methods of fibrosis assessment in chronic HBV infection and focuses on the most commonly used blood- and imaging-based non-invasive tests, reviewing their diagnostic performance and applicability to patient care.

Predictive Value of Serum IFN-γ inducible Protein-10 and IFN-γ/IL-4 Ratio for Liver Fibrosis Progression in CHB Patients

Noninvasive serum markers for assessment of liver fibrosis in chronic hepatitis B (CHB) patients have not been well-studied. The present study was to evaluate the predictive value of serum interferon gamma-inducible protein-10 (IP-10/CXCL10) and the interferon (IFN)-γ/interleukin (IL)-4 ratio for liver fibrosis progression in CHB patients. A total of 180 CHB patients were categorized into four groups: no fibrosis, mild fibrosis, moderate fibrosis, and severe fibrosis. Serum and intrahepatic levels of IP-10, IFN-γ, and IL-4 were examined, from which the IFN-γ/IL-4 ratio was calculated. We found that the serum IP-10 levels were positively correlated with the severity of liver fibrosis, whereas the IFN-γ/IL-4 ratio was negatively associated with the progression of hepatic fibrosis. Multivariate logistic regression analysis revealed that the serum IP-10 was an independent predictor for significant fibrosis. For predicting significant fibrosis, the IP-10 cut-off value of 300 ng/mL had a sensitivity of 92.7% and a specificity of 68.6%. When the IP-10 level was combined with the IFN-γ/IL-4 ratio, the specificity and positive predictive value were 93.8% and 94.6%, respectively; thus, the discriminatory ability was much improved. In conclusion, the serum IP-10 level and the IFN-γ/IL-4 ratio have great potential to predict significant fibrosis among CHB patients.

A noninvasive model to predict liver histology in HBeAg-positive chronic hepatitis B with alanine aminotransferase ≤ 2upper limit of normal

BACKGROUND AND AIM

Liver biopsy remains the gold standard to evaluate liver histology. However, it has several limitations. This study aims to construct a noninvasive model to predict liver histology for commencing antiviral therapy in HBeAg-positive chronic hepatitis B (CHB) with aminotransferase (ALT) ≤ 2 upper limit of normal (ULN).

METHODS

Two hundred and ninety-eight patients with HBeAg-positive CHB, ALT ≤ 2ULN and HBV-DNA ≥20 000 IU/ml were enrolled and randomly divided into a training group and a validation group. A noninvasive model was constructed in the training group to predict significant liver histological change [necroinflammatory activity grade (G) ≥ 2 or fibrosis stage (S) ≥ 2] and then validated in the validation group.

RESULTS

Aspartate aminotransferase, HBsAg, platelet, and albumin were identified as independent predictors. A model was constructed by them. It had an area under the receiver operating characteristic curve of 0.875 in the training group, 0.858 in the validation group and 0.868 in the entire cohort. Using a cut-off point of -0.96, it showed 93% sensitivity, 90% negative predictive value (NPV) in the training group and 95% sensitivity, 94% NPV in the validation group. Using a cut-off point of 0.96, it showed 95% specificity, 91% positive predictive value (PPV) in the training group and 89% specificity, 80% PPV in the validation group.

CONCLUSIONS

This study constructed a noninvasive model to predict liver histology in HBeAg-positive CHB with ALT ≤ 2ULN, which might reduce the clinical need for liver biopsy.

Noninvasive markers for staging fibrosis in chronic delta hepatitis

BACKGROUND

Serum fibrosis markers are useful in staging chronic hepatitis B (HBV) and C (HCV) virus but have not been evaluated in chronic hepatitis D virus (HDV).

AIM

To evaluate the utility of serum fibrosis markers [fibrosis-4 score (FIB-4), aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio, aspartate aminotransferase ratio (AAR), age-platelet index (API), AST-to-platelet-ratio-index (APRI) and Hui score] in HDV infection.

METHODS

Clinical and histologic laboratory data from HBV, HCV and HDV patients were evaluated and serum fibrosis markers were calculated. The ability of fibrosis markers to detect advanced fibrosis (Ishak ≥4) and cirrhosis (Ishak = 6) were evaluated and compared between viral infections.

RESULTS

A total of 1003 subjects (HCV = 701, HBV = 240 and HDV = 62) with mean age of 46 ± 11 and 66% male were evaluated. HDV subjects had higher ALT and AST than HCV and lower platelets than both HBV and HCV. Histologically, HDV had the greatest percentage of Ishak ≥4 and necroinflammation. FIB-4 performed best in detecting advanced fibrosis and cirrhosis in all viral cohorts. In HDV, area under the receiver operator curve (AUROC) 95% confidence intervals for detecting advanced fibrosis were: FIB-4 = 0.70 (0.55-0.84), API = 0.69 (0.55-0.82), APRI = 0.68 (0.54-0.82), Hui score = 0.63 (0.49-0.78), AAR = 0.63 (0.48-0.77). The AUROC for detecting cirrhosis in HDV were: FIB-4 = 0.83 (0.69-0.97), API = 0.80 (0.66-0.95), APRI = 0.75 (0.61-0.89), Hui score = 0.70 (0.49-0.91) and AAR = 0.70 (0.48-0.93). Adjustment of published cut-offs led to marginal improvements in FIB4 for advanced fibrosis and of APRI for cirrhosis in HDV.

CONCLUSIONS

Serum fibrosis markers have lower performance accuracy in chronic HDV infected patients compared to HBV and HCV patients. Other noninvasive fibrosis markers should be explored to assist in the management of these patients.