Gamma-glutamyl transpeptidase to cholinesterase and platelet ratio in predicting significant liver fibrosis and cirrhosis of chronic hepatitis B

Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment

Transjugular intrahepatic portosystemic shunt (TIPS) is an essential procedure for the treatment of portal hypertension but can result in hepatic encephalopathy (HE), a serious complication that worsens patient outcomes. Investigating predictors of HE after TIPS is essential to improve prognosis. This review analyzes risk factors and compares predictive models, weighing traditional scores such as Child-Pugh, Model for End-Stage Liver Disease (MELD), and albumin-bilirubin (ALBI) against emerging artificial intelligence (AI) techniques. While traditional scores provide initial insights into HE risk, they have limitations in dealing with clinical complexity. Advances in machine learning (ML), particularly when integrated with imaging and clinical data, offer refined assessments. These innovations suggest the potential for AI to significantly improve the prediction of post-TIPS HE. The study provides clinicians with a comprehensive overview of current prediction methods, while advocating for the integration of AI to increase the accuracy of post-TIPS HE assessments. By harnessing the power of AI, clinicians can better manage the risks associated with TIPS and tailor interventions to individual patient needs. Future research should therefore prioritize the development of advanced AI frameworks that can assimilate diverse data streams to support clinical decision-making. The goal is not only to more accurately predict HE, but also to improve overall patient care and quality of life.

Prognostic nomogram based on the gamma-glutamyl transpeptidase-to-platelet ratio for patients with compensated cirrhotic hepatocellular carcinoma after local ablation

Background

Hepatocellular carcinoma (HCC) patients with compensated cirrhosis typically face a high prevalence and unfavorable prognosis. However, there is currently a deficiency in prediction models to anticipate the prognosis of these patients. Therefore, our study included the Gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in analysis and aimed to develop a nomogram for HCC patients with compensated cirrhosis after local ablation.

Methods

Enrolling 669 patients who underwent local ablation at Beijing You'an Hospital during the period from January 1, 2014, to December 31, 2022, this study focused on individuals with compensated cirrhotic HCC. In a ratio of 7:3, patients were allocated to the training cohort (n=468) and the validation cohort (n=201). Lasso-Cox regression was employed to identify independent prognostic factors for overall survival (OS). Subsequently, a nomogram was constructed using these factors and was validated through receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).

Results

GPR, age, and hemoglobin were identified by Lasso-Cox regression as independent prognostic factors of the nomogram. The area under the ROC curves (AUCs) for 3-, 5-, and 8-year OS (0.701, 0.755, and 0.768 for the training cohort; 0.684, 0.707, and 0.778 for the validation cohort), and C-indices (0.695 for training cohort; 0.679 for validation cohort) exhibited the excellent predictive ability of the nomogram. Calibration curves and DCA curves indicated favorable calibration performance and clinical utility. Patients were further stratified into two risk groups according to the median nomogram score. There existed an obvious distinction between the two groups both in the training cohort and validation cohort.

Conclusion

In summary, this research established and validated a novel nomogram to predict OS, which had good predictive power for HCC patients with compensated cirrhosis after local ablation.

Prognostic impact of gamma-glutamyl transpeptidase to platelets ratio on hepatocellular carcinoma patients who have undergone surgery: a meta-analysis and systematic review

Gamma-glutamyl transpeptidase to platelet ratio (GPR) is an inflammatory index and has been used as a prognostic index for a variety of tumors. However, the association between GPR and hepatocellular carcinoma (HCC) still remained controversial. Therefore, we performed a meta-analysis to determine the prognostic impact of GPR on HCC patients. PubMed, Embase, Cochrane Library, Web of Science, the Chinese National Knowledge Infrastructure, Wanfang Database, Chinese VIP Database, the US Clinical Trials Registry, and the Chinese Clinical Trials Registry were searched from inception to December 2022. A hazard ratio (HR) with a 95% confidence interval (CI) was used to evaluate the association between preoperative GPR and the prognosis of HCC patients. Ten cohort studies including 4706 HCC patients were identified. This meta-analysis showed that higher GPRs were closely related to worse overall survival (HR: 1.79; 95% CI: 1.35-2.39; P < 0.001; I2 = 82.7%), recurrence-free survival (HR: 1.30; 95% CI: 1.16-1.46; P < 0.001; I2 = 0%), and disease-free survival (HR: 1.84; 95% CI: 1.58-2.15; P < 0.001; I2 = 25.4%) in patients with HCC. This meta-analysis suggests that preoperative GPR appears to be significantly associated with the prognosis of HCC patients who have undergone surgery and may be an effective prognostic marker. Trial registration: PROSPERO: CRD42021296219.

Development and validation of non-invasive models in predicting advanced fibrosis of choledochal cyst

PURPOSE

Patients with choledochal cyst (CDC) develop liver fibrosis, especially advanced fibrosis without prompt surgery. This study validated the aspartate aminotransferase (AST)-to-platelet ratio index (APRI) and Fibrosis-4 index (FIB-4) and constructed a model for predicting advanced fibrosis in pediatric CDCs.

METHODS

Between January 2020 and March 2022, 330 CDCs (advanced fibrosis: 34, Ludwig staging 3-4; non-advanced fibrosis: 296, Ludwig staging 0-2) were reviewed. APRI and FIB-4 were validated. The area under the receiver operating characteristic (AUROC) curve was used to assess discrimination. Relevant variables were analyzed by backward stepwise logistic regression. Enhanced bootstrap method was used for internal verification with 1000 samples.

RESULTS

The AUROCs of APRI and FIB-4 were 0.761 (0.673-0.850) and 0.561 (0.455-0.667). AST to prealbumin ratio (APAR), was constructed with an AUROC of 0.776 (0.693-0.860). The AUROCs of APAR + APRI and APAR + FIB-4 were 0.791 (0.713-0.869) and 0.782 (0.699-0.865). No significant differences were noted in the AUROCs of the indices or their combinations. APAR and APRI could be used together to reduce missed diagnosis rate. The risk of advanced fibrosis varied from different APAR and APRI scores.

CONCLUSION

Both APAR and APRI were indispensable to identify CDC patients at high risk of advanced fibrosis.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

Liver Fibrosis in the Natural Course of Chronic Hepatitis B Viral Infection: A Systematic Review with Meta-Analysis

BACKGROUND

Quantitative data are limited on the natural course of liver fibrosis in patients with chronic HBV infection (CHB).

AIMS

To estimate the prevalence of fibrosis status including non-fibrosis, significant fibrosis, advanced fibrosis, and cirrhosis throughout the natural course of CHB.

METHODS

We searched Cochrane library, EMBASE, PubMed, SCOPUS, Web of Science, and ScienceDirect from January 1993 to November 2019 for studies with histologic data on liver fibrosis in CHB natural course. CHB course was defined based on current criteria for identifying infection phases as recommended by international clinical practice guidelines, including the HBeAg-positive immune-tolerant, HBeAg-positive immune-active, HBeAg-negative immune-inactive, HBeAg-negative immune-reactive, and HBsAg-negative phases. Pooled prevalence rate of fibrosis status at each phase was obtained from random-effect meta-analyses.

RESULTS

Thirty-three studies with 9,377 adult participants (23.8-49.0 age years; 45.5-88.6% males) were eligible and finally included. The estimated prevalence of non-fibrosis, significant fibrosis, advanced fibrosis, and cirrhosis was, for HBeAg-positive immune-tolerant phase: 31.2% (95%CI 15.6-46.7), 16.9% (95%CI 7.8-26.1), 5.4% (95%CI 0.0-11.2), and 0.0% (95%CI 0.0-1.5); HBeAg-positive immune-active phase: 6.9% (95%CI 3.6-10.2), 50.6% (95%CI 39.2-61.9), 32.1% (95%CI 24.2-40.0), and 12.8% (95%CI 8.6-17.0); HBeAg-negative immune-inactive phase: 32.4% (95%CI 0.0-100.0), 24.8% (95%CI 4.5-45.1), 3.0% (95%CI 0.0-8.3), and 0.0% (95%CI 0.0-1.0); and HBeAg-negative immune-reactive phase: 6.3% (95%CI 3.5-9.2), 50.3% (95%CI 38.9-61.7), 30.3% (95%CI 20.9-39.6), and 10.0% (95%CI 6.6-13.5), respectively. There was only one study for HBsAg-negative phase, thus not allowing further meta-analyses.

CONCLUSIONS

Fibrosis risk persists through CHB natural course. These data can support risk estimation in clinical practice and provide reference for noninvasive investigation.

The LAC Score Indicates Significant Fibrosis in Patients With Chronic Drug-Induced Liver Injury: A Large Biopsy-Based Study

Currently, there are no satisfactory noninvasive methods for the diagnosis of fibrosis in patients with chronic drug-induced liver injury (DILI). Our goal was to develop an algorithm to improve the diagnostic accuracy of significant fibrosis in this population. In the present study, we retrospectively investigated the biochemical and pathological characteristics of consecutive patients with biopsy-proven chronic DILI, who presented at our hospital from January 2013 to December 2017. A noninvasive algorithm was developed by using multivariate logistic regression, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA) to diagnose significant fibrosis in the training cohort, and the algorithm was subsequently validated in the validation cohort. Totally, 1,130 patients were enrolled and randomly assigned into a training cohort (n = 848) and a validation cohort (n = 282). Based on the multivariate analysis, LSM, CHE, and APRI were independently associated with significant fibrosis. A novel algorithm, LAC, was identified with the AUROC of 0.81, which was significantly higher than LSM (AUROC 0.78), CHE (AUROC 0.73), and APRI (AUROC 0.68), alone. The best cutoff value of LAC in the training cohort was 5.4. When the LAC score was used to diagnose advanced fibrosis and cirrhosis stages, the optimal cutoff values were 6.2 and 6.7, respectively, and the AUROC values were 0.84 and 0.90 in the training cohort and 0.81 and 0.83 in the validation cohort. This study proved that the LAC score can contribute to the accurate assessment of high-risk disease progression and the establishment of optimal treatment strategies for patients with chronic DILI.

Quantitative Anti-HBc in Liver Pathological States in Patients with Chronic Hepatitis B Virus Infection

Background

Changes of hepatitis B core antigen antibody (anti-HBc) in liver pathological involvement in patients with chronic hepatitis B virus (HBV) infection have not been investigated in detail. This study aimed to explore evolving patterns of anti-HBc following liver pathological states and to investigate validities of anti-HBc for predicting liver pathological states.

Methods

254 HBeAg-positive and 237 HBeAg-negative patients with chronic HBV infection were enrolled. Liver pathological diagnoses referred to Scheuer standard, and anti-HBc was measured using chemiluminescence microparticle immunoassay.

Results

Anti-HBc was significantly positively correlated with pathological grades and stages in both HBeAg-positive (r_s = 0.312, P < 0.0001, and r_s = 0.268, P < 0.0001) and HBeAg-negative (r_s = 0.270, P < 0.0001, and r_s = 0.147, P=0.0237) patients. The medians of anti-HBc in pathological grades of G1, G2, and G3 and stages of S1, S2, S3, and S4 in HBeAg-positive patients were all significantly lower than those in HBeAg-negative patients (all P < 0.005). The areas under receiver-operating characteristic curves (95% confidence interval) of anti-HBc for predicting pathological grades ≥G2 and ≥G3, and stages ≥S2 and =S4 in HBeAg-positive patients were 0.683 (0.622–0.740) and 0.662 (0.601–0.720), and 0.627 (0.564–0.687) and 0.683 (0.622–0.740), respectively, and in HBeAg-negative patients were 0.681 (0.618–0.740) and 0.702 (0.639–0.760), and 0.569 (0.503–0.633) and 0.630 (0.565–0.691), respectively.

Conclusion

Following hepatic aggravation of necroinflammation and progression of fibrosis, anti-HBc increases gradually in HBeAg-positive patients and continues to increase gradually in HBeAg-negative patients, which is a useful but unsatisfactory marker for monitoring pathological states.

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.