Development and validation of a novel score for fibrosis staging in patients with chronic hepatitis B

Noninvasive models for the prediction of liver fibrosis in patients with chronic hepatitis B

OBJECTIVE

To evaluate the diagnostic accuracy of aspartate aminotransferase(AST)/ alanine transaminase (ALT), AST to platelet ratio index (APRI), fibrosis-4 score (FIB-4) and gamma-glutamyl transpeptidase to platelet count ratio (GPR) for hepatic fibrosis in patients with chronic hepatitis B (CHB).

METHODS

A total of 1210 CHB patients who underwent liver biopsy were divided into two groups: patients with no significant fibrosis (control group) and patients with significant fibrosis, and routine laboratory tests were retrospectively included. Logistic regression models were used for the prediction, and the area under the receiver operating characteristic (AUROC) was used to assess the diagnostic accuracy.

RESULTS

A total of 631 (52.1%) and 275 (22.7%) patients had significant fibrosis (≥ S2) and advanced fibrosis (≥ S3), respectively. The GPR showed significantly higher diagnostic accuracy than that of APRI, FiB-4, and AST/ALT to predict ≥ S2(significant fibrosis) and ≥ S3 fibrosis(advanced fibrosis), with an AUROC was 0.69 (95%CI: 0.66-0.71) and 0.72 (0.69-0.75), respectively. After stratified by the status of HBeAg ( positive or negative), GPR, APRI, and FiB-4 showed improved predicting performance for significant fibrosis and advanced fibrosis in HBeAg positive patients, with the most significant improvement was shown for GPR in predicting significant fibrosis (AUROC = 0.74, 95%CI: 0.70-0.78).

CONCLUSIONS

Among the four noninvasive models, GPR has the best performance in the diagnosis of hepatic fibrosis in CHB patients and is more valuable in HBeAg-positive patients.

The intersection of virus infection and liver disease: A comprehensive review of pathogenesis, diagnosis, and treatment

Liver disease represents a significant global burden, placing individuals at a heightened risk of developing cirrhosis and liver cancer. Viral infections act as a primary cause of liver diseases on a worldwide scale. Infections involving hepatitis viruses, notably hepatitis B, C, and E viruses, stand out as the most prevalent contributors to acute and chronic intrahepatic adverse outcome, although the hepatitis C virus (HCV) can be effectively cured with antiviral drugs, but no preventative vaccination developed. Hepatitis B virus (HBV) and HCV can lead to both acute and chronic liver diseases, including liver cirrhosis and hepatocellular carcinoma (HCC), which are principal causes of worldwide morbidity and mortality. Other viruses, such as Epstein-Barr virus (EBV) and cytomegalovirus (CMV), are capable of causing liver damage. Therefore, it is essential to recognize that virus infections and liver diseases are intricate and interconnected processes. A profound understanding of the underlying relationship between virus infections and liver diseases proves pivotal in the effective prevention, diagnosis, and treatment of these conditions. In this review, we delve into the mechanisms by which virus infections induce liver diseases, as well as explore the pathogenesis, diagnosis, and treatment of liver diseases. This article is categorized under: Infectious Diseases > Biomedical Engineering.

Identification of pseudo-immune tolerance for chronic hepatitis B patients: Development and validation of a non-invasive prediction model

Background and aims

Patients with chronic hepatitis B (CHB) in the immune tolerant (IT) phase were previously thought to have no or slight inflammation or fibrosis in the liver. In fact, some CHB patients with normal ALT levels still experience liver fibrosis. This study aimed to develop and validate a non-invasive model for identifying pseudo-immune tolerance (pseudo-IT) of CHB by predicting significant liver fibrosis.

Methods

This multi-center study enrolled a total of 445 IT-phase patients who had undergone liver biopsy for the training cohort (n = 289) and validation cohort (n = 156) during different time periods. A risk model (IT-3) for predicting significant liver fibrosis (Ishak score ≥ 3) was developed using high-risk factors which were identified using multivariate stepwise logistic regression. Next, an online dynamic nomogram was created for the clinical usage. The receiver operating characteristic (ROC) curve, net reclassification improvement and integrated discrimination improvement were used to assess the discrimination of the IT-3 model. Calibration curves were used to evaluate the models’ calibration. The clinical practicability of the model was evaluated using decision curve analysis and clinical impact curves.

Results

8.8% (39 of 445) patients presented with significant liver fibrosis in this study. Aspartate aminotransferase (AST), hepatitis B e-antigen (HBeAg), and platelet (PLT) were included in the prediction model (IT-3). The IT-3 model showed good calibration and discrimination both in the training and validation cohorts (AUC = 0.888 and 0.833, respectively). The continuous NRI and IDI showed that the IT-3 model had better predictive accuracy than GPR, APRI, and FIB-4 (p < 0.001). Decision curve analysis and clinical impact curves were used to demonstrate the clinical usefulness. At a cut-off value of 106 points, the sensitivity and specificity were 91.7 and 70.2%, respectively.

Conclusion

The IT-3 model proved an accurate non-invasive method in identifying pseudo-IT of CHB, which can help to formulate more appropriate treatment strategies.

Fibrosis-4 index, a predictor for prognosis of hepatocellular carcinoma patients after curative hepatectomy even in hepatitis B virus dominant populations

Purpose

Liver fibrosis plays an important role in the development of hepatocellular carcinoma (HCC) and determining its prognosis. Although many staging systems and liver reserve models have been developed without the intention of predicting prognosis of HCC, some studies have investigated their prognostic values in HCC after curative liver resection (LR). The aim of this study is to evaluate prognostic value of non-invasive biomarkers after curative LR.

Methods

Between 2006 and 2013, HCC patients underwent LR were included and total 962 patients were enrolled. All non-invasive biomarkers (fibrosis 4 index (FIB-4), aspartate aminotransferase-to-platelet ratio index (APRI), aspartate aminotransferase-to-alanine aminotransferase ratio (AAR), AAR-to-platelet ratio index (AARPRI), and albumin-bilirubin (ALBI) score) were measured at the time of HCC diagnosis. To binarize each biomarker, an optimal cut-off value for fibrosis stage was selected using the value of minimum distance from the left-upper corner of the receiver operating characteristic curve with a specificity >60%. We performed Cox regression analysis on 2-year recurrence-free survival (RFS) and overall survival (OS).

Results

The area under curve values for FIB-4 and APRI were the largest for fibrosis stage compared to other biomarkers, 0.669 (95% confidential interval (CI), 0.610-0.719) and 0.748 (95% CI, 0.692-0.800), respectively. Between those two indices, FIB-4 is considered a statistically significant prognostic factor of RFS in HCC patients after LR. The HR for 2-year RFS and OS were 1.81 (95% CI, 1.18-2.77; P = 0.007) and 2.36 (95% CI, 0.99-5.65; P = 0.054), respectively.

Conclusion

FIB-4 is identified as a statistically significant predictor of HCC prognosis after curative LR even in HBV dominant populations.

Development and Validation of a Non-invasive Model to Predict Liver Histological Lesions in Chronic Hepatitis B Patients With Persistently Normal Alanine Aminotransferase and Detectable Viremia

Background

A critical and controversial issue is whether antiviral therapy should be recommended in chronic hepatitis B virus (HBV) infection patients with persistently normal alanine aminotransferase (PNALT) and detectable HBV DNA. The study aimed to develop a non-invasive model for predicting significant liver histological changes (SLHC), which is the histological indication for antiviral therapy in chronic hepatitis B (CHB) patients with PNALT and detectable HBV DNA.

Methods

398 chronic HBV infection patients with PNALT and detectable HBV DNA who underwent liver biopsy were divided into the estimation set (n = 256) and validation set (n = 142). A multivariate logistic regression model was developed to predict SLHC in the estimation set, and the diagnostic performance was further validated in the validation set.

Results

132 patients (33.2%) with PNALT and detectable HBV DNA had SLHC. Aspartate aminotransferase (AST), cholinesterase (ChE), and liver stiffness measurement (LSM) were identified as the independent predictors of SLHC. The AUROC of the SLHC index, which combined AST, ChE, and LSM, was 0.824 and 0.816 in the estimation and validation set, respectively, for the prediction of SLHC. Applying the SLHC index ≤ 0.15, the presence of SLHC could be excluded with high negative predictive value in the estimation set (93.2%) and in the validation set (90.2%). Applying the SLHC index ≥ 0.55, the presence of SLHC could be considered with high positive predictive value in the estimation set (79.2%) and in the validation set (76.5%).

Conclusion

The SLHC index provides a high accuracy in predicting liver histological indication for antiviral therapy in CHB patients with PNALT and detectable HBV DNA.

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.

Predictors of inflammatory activity in treatment-naive hepatitis B e-antigen-negative patients with chronic hepatitis B infection

OBJECTIVE

Liver inflammatory activity staging is critical to guide the treatment of chronic hepatitis B virus (CHB) infection. Here, we aimed to identify practical clinical biomarkers of moderate inflammatory activity in hepatitis B e-antigen (HBeAg)-negative CHB patients.

METHODS

Treatment-naïve HBeAg-negative CHB patients who underwent liver biopsy at our hospital from 1 January 2013 to 31 December 2016 were enrolled. Markers of inflammatory activity were analyzed using binary logistic regression. The area under the receiver operator characteristic curve (AUROCC) was used to assess diagnostic accuracy.

RESULTS

A total of 106 HBeAg-negative treatment-naive CHB patients were enrolled. According to their METAVIR inflammatory scores, 30.2% of patients were in stage ≥A2. Total triiodothyronine (TT3) and hepatitis B virus (HBV) DNA levels were predictors of moderate inflammatory activity (A ≥ 2). The AUROCCs of TT3 and HBV DNA levels were 0.651 and 0.797, respectively. The optimal cut-off values for TT3 and HBV DNA were 1.755 nmol/L and 4.61 log10 IU/mL, respectively.

CONCLUSIONS

A sizable proportion of treatment-naive HBeAg-negative CHB patients required antiviral treatment (30.2%) after undergoing liver biopsy. TT3 and HBV DNA helps identify patients with moderate inflammatory activity (A ≥ 2), potentially reducing the need for liver biopsies and helping guide treatment of CHB patients.

INR-to-platelet ratio (INPR) as a novel noninvasive index for predicting liver fibrosis in chronic hepatitis B

Objective: We aimed to investigate whether a novel noninvasive index, i.e., the international normalized ratio-to-platelet ratio (INPR), was a variable in determining liver fibrosis stage in patients with chronic hepatitis B (CHB). Methods: A total of 543 treatment-naïve CHB patients were retrospectively enrolled. Liver histology was assessed according to the Metavir scoring scheme. All common demographic and clinical parameters were analyzed. Results: Based on routine clinical parameters (age, sex, HBeAg status, HBV DNA, hematological parameters, coagulation index, and liver biochemical indicators), a novel index, i.e., the INR-to-platelet ratio (INPR), was developed to magnify the unfavorable effects of liver fibrosis on INR and platelets. The AUCs of INPR for predicting significant fibrosis, advanced fibrosis, and cirrhosis were 0.74, 0.76 and 0.86, respectively. Compared with APRI, FIB-4, and GPR, the INPR had comparable predictive efficacy for significant fibrosis and better predictive performance for advanced fibrosis and cirrhosis. Conclusion: INPR could be an accurate, easily calculated and inexpensive index to assess liver fibrosis in patients with CHB. Further studies are needed to verify this indicator and compare it with other noninvasive methods for predicting liver fibrosis in CHB patients.

Evaluation and comparison of the diagnostic performance of routine blood tests in predicting liver fibrosis in chronic hepatitis B infection

Background & aims: Biopsy is the gold standard for staging liver fibrosis, but it may be accompanied by complications. As an alternative, non-invasive markers such as transient elastography (for liver fibrosis) and certain combinations of routine blood markers (liver function tests, full blood count) have been developed although their clinical significance remains controversial. Here, we compare the diagnostic values of non-invasive markers for liver fibrosis in patients with chronic hepatitis B infection. Methods: Transient elastography and routine laboratory tests were performed in 196 patients. Diagnostic performances were compared and were assessed based on the area under the curve (AUC) of a receiver operating characteristic (ROC) analysis. Results: Elevated GGT to platelet ratio (GPR), the fibrosis index FIB-4 [based on age, AST, platelets and ALT], platelet to lymphocyte ratio (PLR) and total bilirubin were independent predictors of liver stiffness defined by transient elastography (all P < 0.001). The AUCs of GPR in predicting both advanced fibrosis and cirrhosis were significantly larger than that of FIB-4 (P = 0.037 and P = 0.008, respectively) and AST-to-platelet ratio index (APRI) (P = 0.008 and P = 0.005). FIB-4, APRI and red cell volume distribution width-to-platelet ratio (RPR) had similar diagnostic values in discriminating different levels of liver fibrosis. Conclusions: GPR showed the best diagnostic value and RPR and PLR are easily available and inexpensive markers in evaluating fibrosis and cirrhosis. The diagnostic values of these laboratory markers are useful in diagnosing advanced fibrosis or cirrhosis, and in confirming the different levels of liver fibrosis.

Recent advances in assessment and treatment of chronic hepatitis B

This paper reviews the recent advances in the assessment and treatment of chronic hepatitis B with regard to predicting inflammation and fibrosis with non-invasive biomarkers and transient elastography, clinical benefits of long-term nucleos(t)ide analog (NA) antiviral therapy, serological benefits (HBeAg and HBsAg loss) of concurrent or sequential NAs and pegylated interferon, as well as risk factors for the development of hepatocellular carcinoma.

A noninvasive indicator for the diagnosis of early hepatitis B virus-related liver fibrosis

BACKGROUND AND AIMS

Liver stiffness measurement (LSM) detected by FibroScan, combined with biochemical indexes, has shown potential values for assessment of liver fibrosis pathological degrees. Here we aimed to investigate a noninvasive method for hepatitis B virus-related liver fibrosis.

PATIENTS AND METHODS

In all, 307 patients who underwent liver biopsy and LSM measurement were included. Inflammation grades and fibrosis stages were evaluated according to METAVIR scoring system. Spearman's rank correlation analysis, logistic regression analysis, and receiver operating characteristic (ROC) curves analysis were performed to assess the factors' role in inflammation grades/fibrosis stages.

RESULTS

Spearman's rank correlation analysis showed that LSM, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and AST-to-platelet ratio index were positively correlated with inflammation grades and histologic fibrosis stages; platelets showed negative correlation, and AST-to-ALT ratio was not related. Logistic regression analysis indicated that LSM and APRI were risk factors for inflammation grades; LSM was the independent risk factor for fibrosis stages, P<0.0001, odds ratio>1. ROC curve analysis found LSM cutoff values and areas under the curve for the diagnosis of fibrosis scores: 6.95 and 0.804, respectively, for the diagnosis of significant fibrosis (F≥F2); 10.35 and 0.856, respectively, for severe fibrosis (F≥F3); 11.35 and 0.897, respectively, for cirrhosis (F=F4). Considering ALT as a confounding factor, ROC analysis was repeated in patients with normal and elevated ALT separately; the results indicated that when ALT was up to 40 U/l, LSM cutoff value and areas under the curve for the diagnosis of significant fibrosis (F≥F2) were 6.55 and 0.748, respectively.

CONCLUSION

This study provided a noninvasive treatment and prevention indicator for early hepatitis B virus-related liver fibrosis.