A new model using routinely available clinical parameters to predict significant liver fibrosis in chronic hepatitis B

A New Assessment of Two Transferase-Based Liver Enzymes in Low- and High-Fibrosis Patients Chronically Infected with Hepatitis B Virus: A Meta-Analysis and Pilot Study

Background: The detection of fibrosis remains a necessity for the evaluation of hepatitis B virus (HBV)-infected patients, but the most accurate technique is invasive. Current studies aim to develop a novel noninvasive biomarker for fibrosis assessment, but no-one has found the ideal candidate. This study is a meta-analysis combined with a pilot study to investigate the connection between two transferase compounds and the levels of fibrosis. Methods: We studied data from PUBMED, Web of Science, and Scopus, retrieving 28,896 articles. Following PRISMA guidelines, we finally analyzed full-text articles written in English. The excluded items were duplicates, non-article entries, and irrelevant papers. We assessed the variations in alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) levels between patients with high and low levels of fibrosis. Joanna Briggs Institute tools were used to assess article quality. We used R 4.2.2 for statistics. The pilot study included 14 randomly chosen patients with different fibrosis levels. Results: We found significant differences in ALT and GGT levels between patients with high and low fibrosis. The GGT/ALT ratio correlated with the levels of fibrosis and the fibrosis-4 (FIB-4) score. Conclusions: This meta-analysis assessed ALT and GGT levels in chronic HBV patients with fibrosis. The pilot study identified the first association between fibrosis and the GGT/ALT ratio in a Romanian cohort of chronic patients. This brings new ideas for future research.

Can quantitative surface antigen levels and systemic immune-inflammation index be predictive as a new indicator for the initiation of treatment in chronic hepatitis b?

OBJECTIVES

The natural history of chronic HBV infection (CHB) is generally divided into four phases: HBeAg-positive chronic HBV infection (EPCI) and -hepatitis (EPCH), HBeAg-negative chronic HBV infection (ENCI) and -hepatitis (ENCH). This study aimed to investigate changes in serum quantitative surface antigen (qHBsAg), systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) in a large number of CHB patients.

METHOD

Three hundred seventy-two CHB patients who underwent liver biopsy between January 2015 and February 2020 were evaluated.

RESULTS

The SII-values were strongly significant between EPCI-EPCH ( P = 0.002), however, there was significant difference between ENCI-ENCH ( P = 0.025). Considering the SIRI results, there was a significant difference between both EPCI-EPCH ( P = 0.009) and ENCI-ENCH ( P = 0.118). In HBeAg-positive patients HBV-DNA, qHBsAg, and SII were found to be predictive ( P = 0.029, P = 0.039, P = 0.027, respectively) while in HBeAg-negative patients, age, AST, HBV-DNA, qHBsAg, SII, and SIRI were found to be predictive ( P = 0.047, P = 0.084, P = <0.001, P = 0.001, P = 0.012, P = 0.002, respectively). In EPCH phase, whereby accuracy rate results of HBV-DNA, qHBsAg, and SII were 75.3%, 73.4%, and 60.4%, respectively, while in the ENCH phase the accuracy rates of age, AST, HBV-DNA, qHBsAg, SII, and SIRI values were 57.8%, 65.6%, 68.3%, 63.8%, 57.3% and 53.2%, respectively.

CONCLUSION

HBV-DNA, qHBsAg, and SII are predictive in EPCH patients. Age, AST, HBV-DNA, qHBsAg, SII and SIRI are all predictive in ENCH patients. In patients with CHB, we recommend using SII to distinguish between EPCI-EPCH and ENCI-ENCH. Based on its sensitivity and features, we believe that qHBsAg and SII are suitable measuring instruments in discrimination both of EPCI-EPCH and ENCI-ENCH.

Noninvasive Models to Assess Liver Inflammation and Fibrosis in Chronic HBV Infected Patients with Normal or Mildly Elevated Alanine Transaminase Levels: Which One Is Most Suitable?

The prevalence of substantial inflammation or fibrosis in treatment-naïve patients with chronic hepatitis B (CHB) and normal alanine transaminase (ALT) levels is high. A retrospective analysis was conducted on 559 consecutive patients with hepatitis B virus infection, who underwent liver biopsy, to investigate the value of noninvasive models based on routine serum markers for evaluating liver histology in CHB patients with normal or mildly elevated ALT levels and to provide treatment guidance. After comparing 55 models, we identified the top three models that exhibited excellent performance. The APGA model, based on the area under the receiver operating characteristic curve (AUROC), demonstrated a superior ability to evaluate significant (AUROC = 0.750) and advanced fibrosis (AUROC = 0.832) and demonstrated a good performance in assessing liver inflammation (AUROCs = 0.779 and 0.874 for stages G ≥ 2 and G ≥ 3, respectively). APGA also exhibited significant correlations with liver inflammation and fibrosis stage (correlation coefficients, 0.452 and 0.405, respectively (p < 0.001)). When the patients were stratified into groups based on HBeAg status and ALT level, APGA consistently outperformed the other 54 models. The other top two models, GAPI and XIE, also outperformed models based on other chronic hepatitis diseases. APGA may be the most suitable option for detecting liver fibrosis and inflammation in Chinese patients with CHB.

Prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) in a middle-aged population with overweight and normal liver enzymes, and diagnostic accuracy of noninvasive proxies

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing at an alarming rate. Elevated liver enzymes are a primary reason to refer patients for further testing. However, liver enzymes within the normal range do not exclude the presence of MASLD. We examined the prevalence of MASLD in a middle-aged population with overweight and normal liver enzymes. In addition, we examined the accuracy of 4 sets of noninvasive proxies for MASLD. We included 1017 participants from the Netherlands epidemiology of obesity cohort study with body mass index ≥25 kg/m2 and liver enzymes (asparate aminotransferase, alanine aminotransferase, gamma-glutamyltranspeptidase) within normal range. The diagnostic accuracy of biomarker scores (fatty liver index, liver fat score [LFS], STEATO-ELSA, and hepatic steatosis index) was determined against elevated hepatic triglyceride content measured by 1proton magnetic resonance spectroscopy. Participants (mean age 56 years, 49% women), had a median body mass index of 29.6 kg/m2 and a median hepatic triglyceride content of 4.4%. MASLD was present in 42% of participants and was more common in men than women, with respectively 47% and 36% being affected. The LFS showed the highest accuracy with an area under the curve of 0.72. We identified metabolic syndrome as the prime predictor for MASLD with an odds ratio of 2.95 (95% confidence interval 2.20-3.98). The prevalence of MASLD in middle-aged men and women with overweight and liver enzymes within the normal range is over 40%. LFS showed the highest accuracy to detect MASLD, but, overall, biomarker scores performed relatively poor. The presence of metabolic syndrome was the prime predictor of MASLD.

An easy-to-use AIHF-nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis

Background

The evaluation of liver fibrosis is essential in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate an easy-to-use nomogram to identify AIH patients with advanced liver fibrosis.

Methods

AIH patients who underwent liver biopsies were included and randomly divided into a training set and a validation set. The least absolute shrinkage and selection operator (LASSO) regression was used to select independent predictors of advanced liver fibrosis from the training set, which were utilized to establish a nomogram. The performance of the nomogram was evaluated using the receiver characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).

Results

The median age of 235 patients with AIH was 54 years old, with 83.0% of them being female. Six independent factors associated with advanced fibrosis, including sex, age, red cell distribution width, platelets, alkaline phosphatase, and prothrombin time, were combined to construct a predictive AIH fibrosis (AIHF)-nomogram. The AIHF-nomogram showed good agreement with real observations in the training and validation sets, according to the calibration curve. The AIHF-nomogram performed significantly better than the fibrosis-4 and aminotransferase-to-platelet ratio scores in the training and validation sets, with an area under the ROCs for predicting advanced fibrosis of 0.804 in the training set and 0.781 in the validation set. DCA indicated that the AIHFI-nomogram was clinically useful. The nomogram will be available at http://ndth-zzy.shinyapps.io/AIHF-nomogram/as a web-based calculator.

Conclusions

The novel, easy-to-use web-based AIHF-nomogram model provides an insightful and applicable tool to identify AIH patients with advanced liver fibrosis.

Gamma-glutamyl Transpeptidase to Platelet Ratio Predicts Liver Injury in Hepatitis B e Antigen-negative Chronic Hepatitis B Patients With Normal Alanine Aminotransferase

BACKGROUND AND AIMS

Chronic hepatitis B virus (HBV) infection is a serious health problem worldwide. Evaluating liver injury in patients with hepatitis B e antigen (HBeAg)-negative chronic hepatitis B (CHB) with detectable HBV DNA and normal alanine aminotransferase (ALT) is crucial to guide their clinical management. We aimed to investigate the stages of liver inflammation and fibrosis as well as the predictive accuracy of gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in these patients.

METHODS

A total of 184 treatment-naïve HBeAg-negative CHB patients with detectable HBV DNA and normal ALT were enrolled. The Scheuer scoring system was used to classify liver inflammation and fibrosis.

RESULTS

The distribution of patients with different liver inflammation grades were as follows: G0, 0 (0%); G1, 97 (52.7%); G2, 68 (37.0%); G3, 12 (6.5%); and G4, 7 (3.8%). The distribution of patients with different liver fibrosis stages were as follows: S0, 22 (12.0%); S1, 72 (39.1%); S2, 42 (22.8%); S3, 19 (10.3%); and S4, 29 (15.8%). The areas under the receiver operating characteristic (AUROC) curves of GPR in predicting significant inflammation, severe inflammation, and advanced inflammation were 0.723, 0.895, and 0.952, respectively. The accuracy of GPR was significantly superior to that of ALT in predicting liver inflammation. The AUROCs of GPR in predicting significant fibrosis, severe fibrosis, and cirrhosis were 0.691, 0.780, and 0.803, respectively. The predictive accuracy of GPR was significantly higher than that of aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on four factors (FIB-4) in identifying advanced fibrosis and cirrhosis, and it was superior to FIB-4 but comparable to APRI in identifying significant fibrosis.

CONCLUSIONS

Nearly half of the HBeAg-negative CHB patients with detectable HBV DNA and normal ALT levels had significant liver inflammation or fibrosis. GPR can serve as an accurate predictor of liver inflammation and fibrosis in these patients.

Reappraisal of the Role of Alkaline Phosphatase in Hepatocellular Carcinoma

Background: Alkaline phosphatase (ALP) is a marker of liver function and is associated with biliary tract disease. It was reported as a prognostic factor for hepatocellular carcinoma (HCC). The genetic expression in tumor-tissue microarrays and the perioperative serologic changes in ALP have never been studied for their correlation with HCC prognosis. Methods: The genetic expression of ALP isoforms (placental (ALPP), intestinal (ALPI) and bone/kidney/liver (ALPL)) was analyzed in tumor and non-cancerous areas in 38 patients with HCC after partial hepatectomy. The perioperative change in ALP was further analyzed in a cohort containing 525 patients with HCC to correlate it with oncologic outcomes. A total of 43 HCC patients were enrolled for a volumetry study after major and minor hepatectomy. Results: The genetic expression of the bone/kidney/liver isoform was specifically and significantly higher in non-cancerous areas than in tumors. Patients with HCC with a higher ALP (>81 U/dL) had significantly more major hepatectomies, vascular invasion, and recurrence. Cox regression analysis showed that gender, major hepatectomies, the presence of satellite lesions, higher grades (III or IV) and perioperative changes in liver function tests were independent prognostic factors for recurrence-free survival, and a postoperative increase in the ALP ratio at postoperative day (POD) 7 vs. POD 0 > 1.46 should be emphasized. A liver regeneration rate more than 1.8 and correlation analysis revealed that the ALP level at POD 7 and 30 was significantly higher and correlated with remnant liver growth. Conclusions: This study demonstrated that the perioperative ALP change was an independent prognostic factor for HCC after partial hepatectomies, and the elevation of ALP represented a functional biomarker for the liver but not an HCC biomarker. The higher regeneration capacity was possibly associated with the elevation of ALP after operation.

Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care

For years, hepatologists have been seeking non-invasive methods able to detect significant liver fibrosis. However, no previous algorithm using routine blood markers has proven to be clinically appropriate in primary care. We present a novel approach based on artificial intelligence, able to predict significant liver fibrosis in low-prevalence populations using routinely available patient data. We built six ensemble learning models (LiverAID) with different complexities using a prospective screening cohort of 3352 asymptomatic subjects. 463 patients were at a significant risk that justified performing a liver biopsy. Using an unseen hold-out dataset, we conducted a head-to-head comparison with conventional methods: standard blood-based indices (FIB-4, Forns and APRI) and transient elastography (TE). LiverAID models appropriately identified patients with significant liver stiffness (> 8 kPa) (AUC of 0.86, 0.89, 0.91, 0.92, 0.92 and 0.94, and NPV ≥ 0.98), and had a significantly superior discriminative ability (p < 0.01) than conventional blood-based indices (AUC = 0.60–0.76). Compared to TE, LiverAID models showed a good ability to rule out significant biopsy-assessed fibrosis stages. Given the ready availability of the required data and the relatively high performance, our artificial intelligence-based models are valuable screening tools that could be used clinically for early identification of patients with asymptomatic chronic liver diseases in primary care.

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.

Handgrip Strength and Vitamin D as Predictors of Liver Fibrosis and Malnutrition in Chronic Hepatitis C Patients

Background

In patients with chronic hepatitis C (CHC), a negative impact of associated malnutrition on both morbidity and mortality was reported. We aimed to elucidate the efficacy of serum liver fibrosis markers (fibronectin (FN), hydroxyproline (Hyp), and hyaluronic acid (HA)) and their respective indices (HA index, Hyp index, and FN index) and vitamin D status in predicting malnutrition associated with liver fibrosis in CHC patients and to investigate their association with the value of current clinical malnutrition assessment tools subjective global assessment (SGA), handgrip strength (HGS), and muscle mass scores (SGA, BMI, MAMC, and HGS).

Materials and Methods

A cross-sectional study was conducted on 80 patients aged 40-60 years with proven viremia, HCV antibodies, HCV-RNA positivity, genotype determinations, and established chronic hepatitis C virus for more than 6 years and 80 control subjects. SGA, HGS, and muscle mass score (MAMC) were estimated in both patients and control subjects. Based on SGA scores, CHC patients were classified into three groups: well nourished (n = 12; SGA-A); mild or moderately malnourished (n = 25; SGA-B); and severely malnourished (n = 43; SGA-C). Liver fibrosis markers, inflammatory indicator α-Fetoprotein (AFP), tumor necrosis factor-alpha (TNF-α), 25-hydroxyvitamin D, and PTH were estimated using immunoassay techniques.

Results

CHC patients with moderate and severe malnutrition SGA scores showed a significant decline in the levels of vitamin D, increased PTH, and lower values of HGS and muscle mass indices compared to well-nourished patients and control subjects. In addition, malnutrition, vitamin D deficiency, and lower values of HGS, MAC, TSF, and MAMC showed significant correlation with liver severity among CHC patients. Liver fibrosis markers Hyp, HA, FN, APRI, HypI, HAI, and FNI as noninvasive biomarkers showed significant correlation with both severity of liver diseases and associated malnutrition, especially in cirrhotic HCV patients (F4) compared to those with significant fibrosis (F2-F3).

Conclusion

The results showed that deficiency in vitamin D levels, HGS, SGA, and muscle mass scores (MAC, MAMC, or TSF) could be used as markers of liver pathogenicity in patients with CHC. In addition, the study concluded that noninvasive biomarkers Hyp, HA, FN, APRI, HypI, HAI, and FNI separately or in association with vitamin D status, HGS, SGA, and muscle mass scores (MAC, MAMC, or TSF) were significantly associated with an incidence of malnutrition between ~70.5% and 89.6% of CHC patients with significant fibrosis and cirrhosis.

HCC-Mark: a simple non-invasive model based on routine parameters for predicting hepatitis C virus related hepatocellular carcinoma

BACKGROUND

Early detection of hepatocellular carcinoma (HCC) is crucial in providing more effective therapies. As routine laboratory variables are readily accessible, this study aimed to develop a simple non-invasive model for predicting hepatocellular cancer.

METHODS

Two groups of patients were recruited: an estimation group (n = 300) and a validation group (n = 625). Each comprised two categories: hepatocellular cancer and liver cirrhosis. Logistic regression analyses and receiver operating characteristic (ROC) curves were used to develop and validate the HCC-Mark model comprising AFP, high-sensitivity C-reactive protein, albumin and platelet count. This model was tested in cancer patients classified by the Barcelona Clinic Liver Cancer (BCLC), Cancer of Liver Italian Program (CLIP) and Okuda systems, and was compared with other non-invasive models for predicting hepatocellular cancer.

RESULTS

HCC-Mark produced a ROC AUC of 0.89 (95% CI 0.85-0.90) for discriminating hepatocellular carcinoma from liver cirrhosis in the estimation group and 0.90 (0.86-0.90) in the validation group (both p < 0.0001). This AUC exceeded all other models, that had AUCs from 0.41 to 0.81. AUCs of HCC-Mark for discriminating patients with a single focal lesion, absent macrovascular invasion, tumour size <2 cm, BCLC (0-A), CLIP (0-1) and Okuda (stage Ι) from cirrhotic patients were 0.88 (0.85-0.90), 0.87 (0.85-0.89), 0.89 (0.85-0.93), 0.87 (0.84-0.89), 0.85 (0.82-0.87) and 0.86 (0.83-0.89), respectively (all p < 0.0001).

CONCLUSION

HCC-Mark is an accurate and validated model for the detection of hepatocellular cancer and certain of its clinical features.

Red cell distribution width to platelet ratio predicts liver fibrosis in patients with autoimmune hepatitis

Noninvasive tests for the assessment of liver fibrosis are highly needed for the management of patients with autoimmune hepatitis (AIH). We aimed to investigate the accuracy of red cell distribution width to platelet ratio (RPR) in predicting liver fibrosis in AIH patients. One hundred nineteen AIH patients who underwent liver biopsy were enrolled. Liver fibrosis stage was diagnosed using the Scheuer scoring system. The diagnostic accuracy was evaluated by the area under the receiver operating characteristic curve (AUROC). RPR values in AIH patients with S2-S4 (0.10, interquartile range [IQR] 0.08-0.15), S3-S4 (0.10, IQR 0.09-0.14), and S4 (0.14, IQR 0.09-0.19) were significantly higher than patients with S0-S1 (0.07, IQR 0.06-0.08, P < .001), S0-S2 (0.08, IQR 0.06-0.12, P = .025) and S0-S3 (0.09, IQR 0.07-0.13, P = .014), respectively. The RPR was positively correlated with fibrosis stages (r = 0.412, P < .001), while aspartate transaminase to platelet ratio index (APRI) and fibrosis-4 score (FIB-4) were not significantly associated with fibrosis stages in AIH patients. The AUROCs of RPR in identifying significant fibrosis (S2-S4), advanced fibrosis (S3-S4), and cirrhosis (S4) were 0.780 (95% confidence interval [CI] 0.696-0.865), 0.639 (95% CI 0.530-0.748), and 0.724 (95% CI 0.570-0.878), respectively. The AUROCs of RPR were significantly higher than APRI and FIB-4 in diagnosing significant fibrosis, advanced fibrosis, and cirrhosis. Our study demonstrates that the RPR is a simple predictor of liver fibrosis and is superior to APRI and FIB-4 in identifying liver fibrosis in AIH patients.

Diagnostic value of the γ-glutamyltransferase and alanine transaminase ratio, alpha-fetoprotein, and protein induced by vitamin K absence or antagonist II in hepatitis B virus-related hepatocellular carcinoma

Hepatocellular carcinoma is a common type of malignancy with a poor prognosis. Identification and utilisation of markers for monitoring and diagnosis are urgently needed. Alpha-fetoprotein (AFP) and Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA-II) have been proved to be efficient biomarkers for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). The combination of the two markers could improve the detection rate. However, these indicators cannot meet the need of clinical diagnosis.It is necessary to discover novel serological markers and more cost-effective, appropriate combination of these markers for the diagnosis and surveillance of HBV-related HCC. Accordingly, in this study, we aimed to evaluate the diagnostic value of γ-glutamyltransferase (γ-GT) to alanine amino transferase (ALT) ratio alone or in combination with AFP and PIVKA-II for HBV-related HCC. 234 patients with HBV-related HCC and 396 patients with chronic hepatitis B (CHB) were enrolled in this study and approved by the institutional review board. Our results showed levels of AFP and PIVKA-II, and γ-GT/ALT ratio in cases with early-stage HCC, HCC, HCC plus HBV DNA positivity, and HCC plus HBV DNA negativity were higher than those in the corresponding CHB control group. Additionally, the levels of serum AFP and PIVKA-II, and the γ-GT/ALT ratio were positively correlated with tumour sizes in patients with HBV-related HCC. The areas under the ROC curves (AUROCs) of the γ-GT/ALT ratio in patients with early-stage HCC, HCC, HCC plus HBV DNA positivity, and HCC plus HBV DNA negativity were 0.795, 0.846,0.855, and 0.837, respectively; AUROCs of combination of the γ-GT/ALT ratio and PIVKA-II were 0.858, 0.928, 0.948, and 0.902, respectively; AUROCs of combination of the γ-GT/ALT ratio and AFP were 0.822, 0.886, 0.896, and 0.873, respectively;AUROCs of combination of the γ-GT/ALT ratio and PIVKA-II with AFP were 0.857, 0.928, 0.946, and 0.907, respectively, and AUROCs of combination of PIVKA-II and AFP were 0.804, 0.904, 0.942, and 0.863, respectively. In conclusion, the γ-GT/ALT ratio was a useful biomarker for the diagnosis of HBV-related HCC and that the combination of AFP and PIVKA-II with the γ-GT/ALT ratio could improve the diagnostic value of these biomarkers for HBV-related HCC. Moreover, the ratio of γ-GT/ALT may be a useful index in monitoring patients for progression of HBV-related HCC.

Plateletcrit as a potential index for predicting liver fibrosis in chronic hepatitis B

Noninvasive tests (NITs) for liver fibrosis are highly needed for chronic hepatitis B (CHB) patients. We aimed to investigate whether plateletcrit (PCT) could be used as a NIT in predicting liver fibrosis for CHB patients. Five hundred and sixty-seven treatment-naïve CHB patients with available liver biopsies were included. Patients were randomly divided into a derivation cohort (n = 378) and a validation cohort (n = 189). The diagnostic accuracy of PCT was evaluated using receiver operating characteristic (ROC) curves. In the derivation cohort, PCT in CHB patients with S2-S4 (0.14%), S3-S4 (0.13%) and S4 (0.12%) was lower than patients with S0-S1 (0.17%, P < .001), S0-S2 (0.17%, P < .001) and S0-S3 (0.16%, P < .001), respectively. PCT was an independent predictor of significant fibrosis (≥S2), advanced fibrosis (≥S3) and cirrhosis (S4). The area under the ROC curve (AUROC) of PCT in predicting significant fibrosis, advanced fibrosis and cirrhosis was 0.645, 0.709 and 0.714, respectively. The AUROC of PCT was higher than the aspartate transaminase to platelet ratio index (APRI) in identifying advanced fibrosis and cirrhosis, while this was comparable with APRI in identifying significant fibrosis. The diagnostic value of PCT was comparable with fibrosis-4 score (FIB-4) in predicting significant fibrosis, advanced fibrosis and cirrhosis. In the validation cohort, PCT could also identify significant fibrosis, advanced fibrosis and cirrhosis with similar diagnostic accuracy as in the derivation cohort. PCT represents a simple and inexpensive indictor for liver fibrosis in CHB patients. PCT is just as good or better than other more complex tools for staging liver fibrosis in CHB patients.

Relationship between platelet-based models and the prognosis of patients with malignant hepatic tumors

Platelets (PLTs) are involved in tumor growth, metabolism and vascular activation. PLT-based models have been reported to have significant value on the recurrence of malignant hepatic tumors. The present study aimed to investigate the effect of PLT count and 18 PLT-based models on the prognosis of patients with malignant hepatic tumors. The clinical data from 189 patients with malignant hepatic tumors were retrospectively analyzed and used to calculate the scores of the 18 PLT-based models. Receiver operating characteristic curve was used to determine the suitable cut-off values of mortality and recurrence in patients with malignant hepatic tumors. The overall survival and cumulative recurrence rates of patients were calculated using Kaplan-Meier survival curves and the difference was analyzed using log-rank test. Multivariate analysis was performed to determine the independent risk factors of recurrence-free survival and overall survival. In the present study, 11 models were considered as predictors of mortality (P<0.05) and six models were considered as predictors of recurrence (P<0.05). The results from multivariate analysis demonstrated that vascular cancer embolus, uric acid >231 µmol/l, hemoglobin >144 g/l and the Lok index model >0.695 were considered as independent risk factors of mortality (P<0.05). Furthermore, vascular cancer embolus, PLT to lymphocyte ratio (PLR) >175 and fibrosis-4 (FIB-4) >4.82 were independent factors of recurrence (P<0.05). In addition, the results from this study indicated that the Lok-index could be considered as a predictor of the overall survival rate. In conclusion, the FIB-4 and PLR model may be valuable for predicting the recurrence-free rate of patients with malignant hepatic tumors.

Predicting Hepatitis B Virus Infection Based on Health Examination Data of Community Population

Despite a decline in the prevalence of hepatitis B in China, the disease burden remains high. Large populations unaware of infection risk often fail to meet the ideal treatment window, resulting in poor prognosis. The purpose of this study was to develop and evaluate models identifying high-risk populations who should be tested for hepatitis B surface antigen. Data came from a large community-based health screening, including 97,173 individuals, with an average age of 54.94. A total of 33 indicators were collected as model predictors, including demographic characteristics, routine blood indicators, and liver function. Borderline-Synthetic minority oversampling technique (SMOTE) was conducted to preprocess the data and then four predictive models, namely, the extreme gradient boosting (XGBoost), random forest (RF), decision tree (DT), and logistic regression (LR) algorithms, were developed. The positive rate of hepatitis B surface antigen (HBsAg) was 8.27%. The area under the receiver operating characteristic curves for XGBoost, RF, DT, and LR models were 0.779, 0.752, 0.619, and 0.742, respectively. The Borderline-SMOTE XGBoost combined model outperformed the other models, which correctly predicted 13,637/19,435 cases (sensitivity 70.8%, specificity 70.1%), and the variable importance plot of XGBoost model indicated that age was of high importance. The prediction model can be used to accurately identify populations at high risk of hepatitis B infection that should adopt timely appropriate medical treatment measures.

Comparison of the prognostic value of platelet-based prognostic models in patients with malignant hepatic tumors after TACE therapy

PURPOSE

To investigate the prognostic value of 17 platelet-based prognostic scores in patients with malignant hepatic tumors after TACE therapy.

METHODS

In total, 92 patients were divided into death group and survival group according to long-term follow-up results. The AUC was calculated to determine the optimal cut-off values for predicting prognosis. To determine better prognostic models, platelet-based models were analyzed separately after being showed as binary according to cut-off values. Cumulative survival rates of malignant hepatic tumors were calculated using Kaplan-Meier curves and differences were analyzed by the log-rank test. Univariate and multivariate analyses were performed to identify platelet-based prognostic scores associated with overall survival.

RESULTS

Univariate analysis showed that APGA, APRI, FIB-4, FibroQ, GUCI, King's score, Lok index, PAPAS, cirrhosis, number of tumors, vascular cancer embolus, AFP, ALP and APTT were significantly related to prognosis. A multivariate analysis showed that the APGA, number of tumors, ALP and APTT were independently associated with overall survival.

CONCLUSION

This study showed that the APGA, a platelet-based prognostic score, was an independent marker of prognosis in patients with malignant hepatic tumors after TACE and was superior to the other platelet-based prognostic scores in terms of prognostic ability.

Simplified nomograms based on platelet-associated models for survival prediction in Asian hepatocellular carcinoma patients after surgery

BACKGROUND & AIMS

Accumulating evidence showed platelets were closely related to hepatocellular carcinoma (HCC) prognosis. We here aimed to develop two simple-to-use nomograms based on the PLT-associated modified models to refine prognostic prediction of Asian HCC.

METHODS

The nomograms were established using 684 eligible Asian patients who received curative resection for HCC, among which 456 and 228 were randomly assigned to the derivation and validation cohorts, respectively. Univariate and multivariate Cox analyses in the derivation set were used to identify the independent prognostic factors of the hepatectomy patients as the nomogram variables. We evaluated the discrimination and calibration of the nomograms by concordance indexes (C-index), calibration plots and Kaplan-Meier curves. The discrimination ability of the PLT-based nomograms was compared with the conventional staging systems using time-dependent receiver operating characteristic (ROC) curves.

RESULTS

The nomogram for overall survival (OS) estimation was comprised of MPV/PC [mean platelet volume/platelet count], SII [systemic immune-inflammation index], NPS [neutrophil-platelet score], PAPAS [platelet count/age/ALP/AFP/AST index] and S index. And the nomogram for recurrence-free survival (RFS) prediction was of NPS, PAPAS and S index. The C-indexes of the OS nomogram in the derivation and validation sets were 0.704 and 0.707, and those of the RFS nomogram were 0.668 and 0.703. The calibration plots fitted well. The survival curves showed great discriminatory powers. The area under the curve (AUC) of our nomograms were significantly larger than that of the three conventional models (P < 0.05).

CONCLUSIONS

The two PLT-based nomograms were accurate in predicting the OS and RFS of Asian HCC patients after hepatectomy.

Routine indexes for cirrhosis and significant fibrosis detection in patients with compensated chronic hepatitis B

BACKGROUND AND AIM

Fibrosis index based on the four factors (FIB-4) and aspartate aminotransferase to platelet ratio index (APRI) were not well validated in patients with chronic hepatitis B (CHB). The aim of this study was to validate the performances of these indexes and construct novel indexes for liver fibrosis assessment.

METHODS

A total of 1438 consecutive antivirus treatment-naïve patients with CHB were analysed, and two novel indexes (named HeBCI and HeBFI) were derived for cirrhosis and significant fibrosis detection.

RESULTS

For cirrhosis, the area under receiver operating characteristic curves (AUROCs) were 0.841 for HeBCI, 0.708 for FIB-4 and 0.623 for APRI in the model set, and 0.779, 0.690, 0.595 in the validation set. For significant fibrosis, the AUROCs were 0.781 for HeBFI, 0.693 for APRI and 0.641 for FIB-4 in the model set, and 0.776, 0.729, 0.641 in the validation set. HeBCI determined 750 (52.2%) patients as having cirrhosis or non-cirrhosis with an accuracy of 86%. HeBFI detected 673 (46.8%) patients with or without significant fibrosis with an accuracy of 76.6%.

CONCLUSIONS

As economical and convenient indexes, HeBCI and HeBFI are suitable to serve as outpatient tools for detecting significant fibrosis and cirrhosis to reduce the need of liver biopsy significantly in resource-limited settings.

A novel noninvasive index for the prediction of moderate to severe fibrosis in chronic hepatitis B patients

BACKGROUNDS

The evaluation of liver fibrosis stages is essential for the clinical management of chronic hepatitis B (CHB).

AIMS

To develop and validate a novel noninvasive index for moderate to severe fibrosis (≥S2) in CHB patients.

METHODS

A total of 401 CHB patients who underwent liver biopsy were divided into the training (n = 300) and validation (n = 101) cohort. Histological severity was scored using a modified Scheuer system. Clinical and laboratory assessments were collected.

RESULTS

In the training cohort, PACG, a novel index combining the quantitative hepatitis B core antibody (qAnti-HBc), platelet count (PLT), and albumin globulin ratio (A/G), presented better diagnostic performance (AUROC = 0.814) than that of APRI (0.735, p = 0.007) and FIB-4 (0.749, p = 0.014). In the validation cohort, the AUROC of the PACG, APRI, FIB-4 and Fibroscan were 0.834, 0.806, 0.791 and 0.810, respectively. More importantly, a higher and lower cutoff of PACG for predicting ≥S2 fibrosis or not had a >90% sensitivity and specificity, with a diagnostic accuracy of 85.9%.

CONCLUSION

PACG is a promising noninvasive alternative to liver biopsy in CHB patients for the evaluation of moderate to severe fibrosis.

Development and validation of a model for staging hepatic fibrosis for chronic hepatitis B patients with E antigen-positive

Background

Interest is growing in the use of non-invasive techniques for complementing liver biopsy for liver fibrosis assessment. We aimed to prospectively evaluate liver histology in chronic hepatitis B (CHB) patients with e-antigen positivity, and develop and validate a novel scoring system—e-antigen-positive CHB liver fibrosis (EPLF) score—for noninvasively predicting the fibrosis stages.

Methods

We identified the baseline variables associated with fibrosis stage (MATAVIR score, F0–F4) in 212 CHB patients with e-antigen positivity. These significant variables were used to develop the EPLF scoring system. The EPLF score equation was developed based on the prediction of fibrosis stages via multivariate ordered logistic regression analysis. The diagnostic powers of the EPLF score and several non-invasive markers were assessed through an area under the receiver operating characteristic curve (AUROC) analyses. This EPLF score model was validated in another set of 208 similar patients.

Results

The natural logarithms of serum albumin, HBeAg, and HBsAg levels were selected as significant independent variables for the EPLF score equation. The EPLF score had good diagnostic power (AUROC, 0.72–0.90, p<0.001) and good diagnostic accuracy (72–85%), with a high positive predictive value (80.8–92.8%) for each fibrosis stage in the test group. Similar results were observed in the validation group (AUROC, 0.73–0.89, p<0.001). The EPLF score exhibited a strong correlation with fibrosis stage (r=0.67, p<0.001), and was the preferable non-invasive marker for staging liver fibrosis.

Conclusion

In e-antigen-positive patients with CHB, the EPLF score could serve as a potential non-invasive marker of liver fibrosis stage.

Diagnostic value of FIB-4 for liver fibrosis in patients with hepatitis B: a meta-analysis of diagnostic test

This study is aimed at evaluating the diagnostic value of FIB-4 for liver fibrosis in patients with hepatitis B through a meta-analysis of diagnostic test. We conducted a comprehensive search in the Pubmed, Embase, Web of Science, and Chinese National Knowledge Infrastructure before October 31, 2016. Stata 14.0 software was used for calculation and statistical analyses. We used the sensitivity, specificity, positive and negative likelihood ratio (PLR, NLR), diagnostic odds ratio (DOR) and 95% confidence intervals (CIs) to evaluate the diagnostic value of FIB-4 for liver fibrosis in patients with hepatitis B. Twenty-six studies were included in the final analyses, with a total of 8274 individuals. The pooled parameters are calculated from all studies: sensitivity of 0.69 (95%CI:0.63-0.75), specificity of 0.81 (95%CI: 0.73-0.87), PLR of 3.63 (95%CI:2.66-4.94), NLR of 0.38 (95%CI:0.32-0.44), DOR of 9.57 (95%CI: 6.67-13.74), and area under the curve (AUC) of 0.80 (95%CI: 0.76-0.83). We also conducted subgroup based on the range of cut-off values. Results from subgroup analysis showed that cut-off was the source of heterogeneity in the present study. The sensitivity and specificity of cut-off>2 were 0.69 and 0.95 with the AUC of 0.90 (95%CI: 0.87-0.92). The overall diagnostic value of FIB-4 is not very high for liver fibrosis in patients with hepatitis B. However, the diagnostic value is affected by the cut-off value. FIB-4 has relatively high diagnostic value for detecting liver fibrosis in patients with hepatitis B when the diagnostic threshold value is more than 2.0.

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.

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.

The diagnostic value of a globulin/platelet model for evaluating liver fibrosis in chronic hepatitis B patients

BACKGROUND

Liver biopsy, which is considered the best method for evaluating hepatic fibrosis, has important adverse events. Therefore, non-invasive tests have been developed to determine the degree of hepatic fibrosis in patients with chronic hepatitis B.

AIM

To verify the usefulness of a new fibrosis index the globulin/platelet model in patients with chronic hepatitis B and to compare it with other noninvasive tests for predicting significant fibrosis. This study was the second to evaluate the globulin/platelet model in HBV patients.

METHODS

We retrospectively investigated 228 patients with chronic hepatitis B who performed liver biopsy from 2013 to 2014. The globulin/platelet model, APGA [AST/Platelet/Gamma-glutamyl transpeptidase/Alfa-fetoprotein], FIB4, fibrosis index, cirrhosis discriminate score, and Fibro-quotient were calculated, and the diagnostic accuracies of all of the fibrosis indices were compared between the F0-2 (no-mild fibrosis) and F3-6 (significant fibrosis) groups.

RESULTS

All of the noninvasive markers were significantly correlated with the stage of liver fibrosis (p < 0,001). To predict significant fibrosis (F ≥ 3), the area under the curve (95% CI) was found to be greatest for APGA (0.83 [0.74-0.86]), followed by FIB-4 (0.75[0.69-0.80]), the globulin/platelet model (0.74 [0.68-0.79]), fibrosis index (0.72 [0.6-0.78], cirrhosis discriminate score (0.71 [0.64-0.76]) and Fibro-quotient (0.62 [0.55-0.7]). The area under the receiver operating characteristic curves of APGA was significantly higher than that of the other noninvasive fibrosis markers (p < 0.05).

CONCLUSIONS

While the APGA index was found to be the most valuable test for the prediction significant fibrosis in patients with chronic hepatitis B, GP model was the thirth valuable test. Therefore, we recommended that APGA could be used instead of the GP model for prediction liver fibrosis.

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.

The gamma-glutamyl transpeptidase-to-platelet ratio predicts liver fibrosis and cirrhosis in HBeAg-positive chronic HBV infection patients with high HBV DNA and normal or mildly elevated alanine transaminase levels in China

The gamma-glutamyl transpeptidase-to-platelet ratio (GPR) is a new serum diagnostic model, which is reported to be more accurate than aspartate transaminase-to-platelet ratio index (APRI) and fibrosis index based on the four factors (Fib-4) for the diagnosis of significant fibrosis and cirrhosis in chronic HBV infection (CHBVI) patients in West Africa. To evaluate the performance of the GPR model for the diagnosis of liver fibrosis and cirrhosis in HBeAg-positive CHBVI patients with high HBV DNA (≥5 log₁₀ copies/mL) and normal or mildly elevated alanine transaminase (ALT) (≤2 times upper limit of normal (ULN)) in China. A total of 1521 consecutive CHBVI patients who underwent liver biopsies and routine laboratory tests were retrospectively screened. Of these patients, 401 treatment naïve HBeAg-positive patients with HBV DNA≥5 log₁₀ copies/mL and ALT≤2 ULN were included. The METAVIR scoring system was adopted as the pathological diagnosis standard of liver fibrosis. Using liver histology as a gold standard, the performances of GPR, APRI, and Fib-4 for the diagnosis of liver fibrosis and cirrhosis were evaluated and compared by receiver operating characteristic (ROC) curves and the area under the ROC curves (AUROCs). Of 401 patients, 121 (30.2%), 49 (12.2%) and 17 (4.2%) were classified as having significant fibrosis (≥F2), severe fibrosis (≥F3) and cirrhosis (=F4), respectively. After estimating the AUROC to predict significant fibrosis, the performance of GPR (AUROC=0.66, 95% CI 0.60-0.72) was higher than APRI (AUROC=0.58, 95% CI 0.52-0.64, P=.002) and Fib-4 scores (AUROC=0.54, 95% CI 0.47-0.60, P<.001). After estimating the AUROC to predict severe fibrosis, the performance of GPR (AUROC=0.71, 95% CI 0.63-0.80) was also higher than APRI (AUROC=0.65, 95% CI 0.56-0.73, P=.003) and Fib-4 scores (AUROC=0.67, 95% CI 0.58-0.75, P=.001). After estimating the AUROC to predict cirrhosis, the performance of GPR (AUROC=0.73, 95% CI 0.56-0.88) was higher than APRI (AUROC=0.69, 95% CI 0.54-0.83, P=.041) and Fib-4 scores (AUROC=0.69, 95% CI 0.55-0.82, P=.012) too. The GPR is a new serum model for the diagnosis of liver fibrosis and cirrhosis and shows obvious advantages in Chinese HBeAg-positive patients with HBV DNA≥5 log₁₀ copies/mL and ALT≤2 ULN compared with APRI and Fib-4, thus warranting its widespread use for this specific population.

MicroRNA-based diagnostic tools for advanced fibrosis and cirrhosis in patients with chronic hepatitis B and C

Staging fibrosis is crucial for the prognosis and to determine the rapid need of treatment in patients with chronic hepatitis B (CHB) and C (CHC). The expression of 13 fibrosis-related microRNAs (miRNAs) (miR-20a, miR-21, miR-27a, miR-27b, miR-29a, miR-29c, miR-92a, miR-122, miR-146a, miR-155, miR-221, miR-222, and miR-224) was analyzed in 194 serums and 177 liver biopsies of patients with either CHB or CHC to develop models to diagnose advanced fibrosis and cirrhosis (Metavir F3-F4). In CHB patients, the model (serum miR-122, serum miR-222, platelet count and alkaline phosphatase) was more accurate than APRI and FIB-4 to discriminate in between mild and moderate fibrosis (F1-F2) and F3-F4 (AUC of CHB model: 0.85 vs APRI: 0.70 and FIB-4: 0.81). In CHC patients, the model (hepatic miR-122, hepatic miR-224, platelet count, albumin and alanine aminotransferase) was more accurate than both APRI and FIB-4 to discriminate in between patients with F3-F4 and F1-F2 (AUC of the CHC model = 0.93 vs APRI: 0.86 and FIB-4: 0.79). Most of the miRNAs tested were differentially expressed in patients with CHB and CHC. In particular, serum miR-122 was 28-fold higher in patients with CHB than in those with CHC. Both CHB and CHC models may help for the diagnosis of advanced fibrosis and cirrhosis (F3-F4).

Noninvasive models for assessment of liver fibrosis in patients with chronic hepatitis B virus infection

There are approximately 240 million patients with chronic hepatitis B virus (HBV) infection worldwide. Up to 40% of HBV-infected patients can progress to liver cirrhosis, hepatocellular carcinoma or chronic end-stage liver disease during their lifetime. This, in turn, is responsible for around 650000 deaths annually worldwide. Repeated hepatitis flares may increase the progression of liver fibrosis, making the accurate diagnosis of the stage of liver fibrosis critical in order to make antiviral therapeutic decisions for HBV-infected patients. Liver biopsy remains the “gold standard” for diagnosing liver fibrosis. However, this technique has recently been challenged by the development of several novel noninvasive tests to evaluate liver fibrosis, including serum markers, combined models and imaging techniques. In addition, the cost and accessibility of imaging techniques have been suggested as additional limitations for invasive assessment of liver fibrosis in developing countries. Therefore, a noninvasive assessment model has been suggested to evaluate liver fibrosis, specifically in HBV-infected patients, owing to its high applicability, inter-laboratory reproducibility, wide availability for repeated assays and reasonable cost. The current review aims to present the status of knowledge in this new and exciting field, and to highlight the key points in HBV-infected patients for clinicians.

Hepatitis B and Schistosoma co-infection in a non-endemic area

Schistosomiasis is related to the development of liver fibrosis and portal hypertension. Chronic co-infection with HBV and Schistosoma has been associated in endemic areas with a higher risk for a more severe liver disease. However, no studies have assessed the real importance of this co-infection in non-endemic regions. This is a retrospective observational study of Sub-Saharan immigrants attending between October 2004 and February 2014. Patients with chronic HBV infection with and without evidence of schistosomal infection were compared. Epidemiological, analytical, and microbiological data were analysed. Likelihood of liver fibrosis based on APRI and FIB-4 indexes was established. A total of 507 patients were included in the study, 170 (33.5 %) of them harbouring evidence of schistosome infection. No differences were found in transaminase, GGT, and ALP levels. In fibrosis tests, a higher proportion of patients with HVB and S. mansoni detection reached possible fibrosis scores (F > 2) when compared to patients without schistosomiasis: 17.4 vs 14.2 % and 4.3 % vs 4.2 % (using high sensitivity and high specificity cut-offs respectively), although differences were not statistically significant (p = 0.69, p = 0.96). For possible cirrhosis (F4) score, similar results were observed: 4.3 % of co-infected patients vs 2.1 % of mono-infected ones, p = 0.46. According to these datas, in non-endemic regions the degree of hepatic fibrosis in patients with chronic hepatitis B is not substantially modified by schistosome co-infection.

Non-invasive assessment of liver fibrosis using acoustic structure quantification: comparison with transient elastography in chronic viral hepatitis

PURPOSE

The purpose of this study was to evaluate the diagnostic efficacy of acoustic structure quantification (ASQ) parameters [mode, average, and focal distribution (FD) ratio] in the staging of hepatic fibrosis in patients with chronic viral hepatitis and to compare it with transient elastography (TE) by using liver biopsy as reference standard.

METHODS

We studied 62 patients with chronic viral hepatitis. Each patient underwent ASQ evaluation and liver biopsy; 54 of these patients received TE. Thirty-six participants without any liver disease were enrolled as normal group, who also underwent ASQ evaluation and TE. All three parameters of ASQ were compared with the histologic fibrosis grade according to the METAVIR scoring (F0-F4). Statistical analysis was performed to investigate the correlations and the diagnostic values of ASQ parameters and compare them to TE.

RESULTS

All three ASQ parameters and TE were significantly correlated with liver fibrosis stage. Of the ASQ parameters, the mode parameter showed the best correlation (P < 0.001). On the area under the receiver operating characteristic curve (AUROC), the mode parameter of ASQ analysis showed both significant correlation and good accuracy for diagnosis of F ≥ 1, F ≥ 2, and F ≥ 3. These values were significantly better than those of the average and FD ratio parameters in F ≥ 1 and F ≥ 2 (P < 0.05). There was no statistically significant difference in AUROC between the mode parameter and TE in diagnosis of F ≥ 1, F ≥ 2, or F ≥ 3.

CONCLUSIONS

The mode parameter is the most reliable ASQ parameter, comparable to TE, as a non-invasive method for the detection and grading of liver fibrosis in patients with chronic viral hepatitis.

Cost-effectiveness of non-invasive methods for assessment and monitoring of liver fibrosis and cirrhosis in patients with chronic liver disease: systematic review and economic evaluation

BACKGROUND

Liver biopsy is the reference standard for diagnosing the extent of fibrosis in chronic liver disease; however, it is invasive, with the potential for serious complications. Alternatives to biopsy include non-invasive liver tests (NILTs); however, the cost-effectiveness of these needs to be established.

OBJECTIVE

To assess the diagnostic accuracy and cost-effectiveness of NILTs in patients with chronic liver disease.

DATA SOURCES

We searched various databases from 1998 to April 2012, recent conference proceedings and reference lists.

METHODS

We included studies that assessed the diagnostic accuracy of NILTs using liver biopsy as the reference standard. Diagnostic studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Meta-analysis was conducted using the bivariate random-effects model with correlation between sensitivity and specificity (whenever possible). Decision models were used to evaluate the cost-effectiveness of the NILTs. Expected costs were estimated using a NHS perspective and health outcomes were measured as quality-adjusted life-years (QALYs). Markov models were developed to estimate long-term costs and QALYs following testing, and antiviral treatment where indicated, for chronic hepatitis B (HBV) and chronic hepatitis C (HCV). NILTs were compared with each other, sequential testing strategies, biopsy and strategies including no testing. For alcoholic liver disease (ALD), we assessed the cost-effectiveness of NILTs in the context of potentially increasing abstinence from alcohol. Owing to a lack of data and treatments specifically for fibrosis in patients with non-alcoholic fatty liver disease (NAFLD), the analysis was limited to an incremental cost per correct diagnosis. An analysis of NILTs to identify patients with cirrhosis for increased monitoring was also conducted.

RESULTS

Given a cost-effectiveness threshold of £20,000 per QALY, treating everyone with HCV without prior testing was cost-effective with an incremental cost-effectiveness ratio (ICER) of £9204. This was robust in most sensitivity analyses but sensitive to the extent of treatment benefit for patients with mild fibrosis. For HBV [hepatitis B e antigen (HBeAg)-negative)] this strategy had an ICER of £28,137, which was cost-effective only if the upper bound of the standard UK cost-effectiveness threshold range (£30,000) is acceptable. For HBeAg-positive disease, two NILTs applied sequentially (hyaluronic acid and magnetic resonance elastography) were cost-effective at a £20,000 threshold (ICER: £19,612); however, the results were highly uncertain, with several test strategies having similar expected outcomes and costs. For patients with ALD, liver biopsy was the cost-effective strategy, with an ICER of £822.

LIMITATIONS

A substantial number of tests had only one study from which diagnostic accuracy was derived; therefore, there is a high risk of bias. Most NILTs did not have validated cut-offs for diagnosis of specific fibrosis stages. The findings of the ALD model were dependent on assuptions about abstinence rates assumptions and the modelling approach for NAFLD was hindered by the lack of evidence on clinically effective treatments.

CONCLUSIONS

Treating everyone without NILTs is cost-effective for patients with HCV, but only for HBeAg-negative if the higher cost-effectiveness threshold is appropriate. For HBeAg-positive, two NILTs applied sequentially were cost-effective but highly uncertain. Further evidence for treatment effectiveness is required for ALD and NAFLD.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42011001561.

FUNDING

The National Institute for Health Research Health Technology Assessment programme.

Can Serum ST2 Levels Be Used as a Marker of Fibrosis in Chronic Hepatitis B Infection?

Interleukin 33 (IL-33) is a cytokine belonging to the IL-1 superfamily. Soluble ST2 (sST2) binds to IL-33 and by functioning as trap receptor inhibits signal sending to Th2 via transmembrane ST2. Because Th2-type cytokines play an important role in fibrosis, the aim of this study is to determine whether sST2 can be used as a marker of fibrosis in chronic hepatitis B (CHB) patients or not.The study included 19 healthy controls, 54 patients with CHB, and 14 patients with cirrhosis because of CHB. The aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4) scores also calculated, and correlations between liver biopsies, sST2 levels, and these scores were analyzed in CHB and cirrhosis patients.The sST2 levels in patients with CHB were significantly higher than those in the control group subjects (median: 1133 pg/mL vs 762.5 pg/mL, respectively [P = 0.035]). In CHB patients, the METAVIR fibrosis score (stages from 0 to 4) showed a moderate correlation with serum sST2 level (r = 0.396, P = 0.004) and a weak correlation with FIB-4 score (r = 0.359, P = 0.008), but no correlation with APRI score (r = 0.253, P = 0.06). The under the curve value of serum sST2 was 0.68, and its prediction of significant fibrosis (METAVIR score ≥2) in values >674 pg/mL had a sensitivity of 91.7% and specificity of 40% (P = 0.009). According to multiple logistic regression analysis, only METAVIR fibrosis stage was found to be an independent predictor of serum sST2 elevation in CHB patients (P = 0.04).The sST2 level can be used for differentiating significant fibrosis from mild fibrosis in CHB patients. However, the efficacy of this marker should be verified by larger studies in the future.

A novel non-invasive index using AFP and APTT is associated with liver fibrosis in patients with chronic hepatitis B infection: a retrospective cohort study

OBJECTIVE

A liver biopsy is the 'reference standard' for diagnosing and staging liver fibrosis but with many disadvantages. Therefore, developing a non-invasive index for predicting fibrosis is very valuable. We developed and validated a novel non-invasive index for predicting significant fibrosis in patients with chronic hepatitis B infection.

DESIGN

A retrospective cohort study.

SETTING

Chronic hepatitis B virus-infected patients were recruited in the Department of Infectious Disease in the First Affiliated Hospital of Zhejiang University.

PARTICIPANTS

A total of 506 patients were enrolled, and patients were randomly divided into estimation (n=253) and validation (n=253) cohorts.

PRIMARY AND SECONDARY OUTCOME MEASURES

Chronic hepatitis B virus-infected patients were studied retrospectively using routine parameters. A novel index was developed from an estimation cohort and validated in another cohort. Liver histology was assessed for fibrosis according to the Xi'an Meeting Scoring System. The novel index using α-fetal protein (AFP) and activated partial thromboplastin time (APTT; denoted AA index) was compared with 10 other indices using receiving operating characteristics curves. Multivariate forward stepwise regression analysis revealed that AFP and APTT were significantly associated with the Xi'an Meeting Scoring System, and were used to calculate the AA index (log index=-9.164+0.114×AFP+0.236×APTT).

RESULTS

The AA index predicted significant fibrosis with an area under the curve of 0.822, exhibited a significantly higher area compared with the other 10 indices in the estimation cohort, and was validated in the validation cohort.

CONCLUSIONS

The AA index can be used to predict significant fibrosis, and may decrease the need for liver biopsy in patients with chronic hepatitis B infection.

Low Serum Hepatitis B Surface Antigen Level Predicts Compensated Cirrhosis Caused by Chronic Hepatitis B in HBeAg Positive Patients in East China

BACKGROUNDS

Serum hepatitis B surface antigen (HBsAg) levels are associated with fibrosis in patients with chronic hepatitis B (CHB) infection.

OBJECTIVES

The aim of our study was to evaluate serum HBsAg level as a biomarker for compensated cirrhosis in hepatitis B e antigen (HBeAg) positive CHB patients.

PATIENTS AND METHODS

Two-hundred and one HBeAg-positive Chinese CHB patients with or without cirrhosis were enrolled in this retrospective study. Cirrhosis was diagnosed based on liver biopsy. Furthermore, patients with decompensated cirrhosis were excluded. A statistical analysis was performed regarding the association between serum HBsAg level and compensated cirrhosis.

RESULTS

Patients with compensated cirrhosis had a significantly lower mean serum HBsAg level compared to those without cirrhosis (3.27 Log10 IU/mL VS 4.17 Log10 IU/mL, P < 0.001). Furthermore, examining the correlation with compensated cirrhosis revealed that lower level of serum HBsAg was a significant factor in multivariate analysis. The area under the receiver operating characteristics curve of serum HBsAg was 0.856 for compensated cirrhosis. A positive predictive value of 66.2% and negative predictive value of 90.7% were obtained with a cut-off value of < 3.60 Log10 IU/mL (4000 IU/mL) of serum HBsAg. Moreover, the rate of compensated cirrhosis increased to 75.0% after combining with APRI > 2.

CONCLUSIONS

In HBeAg positive CHB patients, low serum HBsAg level is a useful predictor of compensated cirrhosis.

The PAPAS index: a novel index for the prediction of hepatitis C-related fibrosis

BACKGROUND

Several noninvasive tests have been developed to determine the degree of hepatic fibrosis in patients with chronic hepatitis C (CHC) without performing liver biopsy.

AIM

This study aimed to determine the performance of the PAPAS (Platelet/Age/Phosphatase/AFP/AST) index in patients with CHC for the prediction of significant fibrosis and cirrhosis and to compare it with other noninvasive tests. To date, no study has evaluated the application of the PAPAS index in CHC-associated liver fibrosis.

MATERIALS AND METHODS

This retrospective study included 137 consecutive patients with CHC who had undergone a percutaneous liver biopsy before treatment. The aspartate aminotransferase/platelet ratio (APRI), aspartate aminotransferase/alanine transaminase ratio (AAR), age-platelet index (API), FIB4, cirrhosis discriminate score (CDS), the Göteborg University cirrhosis index (GUCI), and PAPAS were calculated and compared with the diagnostic accuracies of all fibrosis indices between the groups F0-F2 (no-mild fibrosis) versus F3-F6 (significant fibrosis) and F0-F4 (no cirrhosis) versus F5-F6 (cirrhosis).

RESULTS

To predict significant fibrosis, the area under curve (95% confidence interval) for FIB4 was 0.727 followed by GUCI (0.721), PAPAS≈APRI≈CDS (0.716), and API (0.68). To predict cirrhosis, the area under curve (95% confidence interval) for FIB4 was calculated to be 0.735, followed by GUCI (0.723), PAPAS≈APRI≈CDS≈(0.71), and API (0.66). No statistically significant difference was observed among these predictors to exclude both significant fibrosis and cirrhosis (P>0.05).

CONCLUSION

The diagnostic capability of the PAPAS index has moderate efficiency and was not superior to other fibrosis markers for the identification of fibrosis in CHC patients. There is a need for more comprehensive prospective studies to help determine the diagnostic value of PAPAS for liver fibrosis.

Significance of platelet count and platelet-based models for hepatocellular carcinoma recurrence

AIM: To explore the effects of platelet count (PLT) and 11 platelet-based indices on postoperative recurrence of hepatocellular carcinoma (HCC).

METHODS: We retrospectively analyzed 172 HCC patients who were treated by partial hepatectomy. Preoperative data, including laboratory biochemical results, were used to calculate the 11 indices included in the analysis. We performed receiver operating characteristic curve analysis to determine the optimal cut-off values for predicting recurrence. Cumulative rates of HCC recurrence were calculated using Kaplan-Meier survival curves and differences were analyzed by log-rank tests. Multivariate analyses were performed to identify independent predictors of recurrence, early recurrence (within one year after surgery), and late recurrence in HCC. To obtain better prognostic models, PLT-based indices were analyzed separately after being expressed as binary and continuous variables. Two platelet-unrelated, validated HCC prognostic models were included in the analyses as reference indices. Additional analyses were performed after patients were stratified based on hepatitis B virus infection status, cirrhosis, and tumor size to investigate the significance of platelets in different subgroups.

RESULTS: In the study cohort, 44.2% (76/172) of patients experienced HCC recurrence, and 50.6% (87/172) died during a median follow-up time of 46 mo. PLT and five of the 11 platelet-related models were significant predisposing factors for recurrence (P < 0.05). Multivariate analysis indicated that, among the clinical parameters, presence of ascites, PLT ≥ 148 × 10⁹/L, alkaline phosphatase ≥ 116 U/L, and tumor size ≥ 5 cm were independently associated with a higher risk of HCC recurrence (P < 0.05). Independent and significant models included the aspartate aminotransferase/PLT index, fibrosis index based on the four factors, fibro-quotient, aspartate aminotransferase/PLT/γ-glutamyl transpeptidase/alpha-fetoprotein index, and the PLT/age/alkaline phosphatase/alpha-fetoprotein/aspartate aminotransferase index. There were different risk factors between early and late recurrences, and PLT and these indices were more inclined to influence late recurrence. PLT was only predictive of recurrence in non-cirrhotic HCC patients, and was not influenced by tumor size, which was a critical confounder in our study.

CONCLUSION: PLT and PLT-based noninvasive models are effective tools for predicting postoperative recurrence, especially late recurrence. Larger cohorts are needed to validate our findings.

Serum hepatitis B surface antigen titer and transient elastography in screening for insignificant fibrosis in HBeAg-positive chronic hepatitis B patients

Objective

To explore the predictive value of serum hepatitis B surface antigen (HBsAg) titer and transient elastography in screening for insignificant fibrosis in hepatitis B e antigen (HBeAg)-positive chronic hepatitis B patients.

Methods

We conducted a cross-sectional study of eligible patients treated from March 2012 to May 2013 at the West China Hospital of Sichuan University. Eligible patients underwent liver transient elastography and liver biopsy. We assessed the serum HBsAg level, serum hepatitis B virus (HBV) deoxyribonucleic acid (DNA) level, HBV genotypes, liver stiffness measurement (LSM) values by transient elastography, and histological fibrosis staging by METAVIR classification.

Results

A total of 129 consecutive patients were recruited. The LSM value (P<0.001, odds ratio 14.67, 95% CI 0.158–0.551) and log₁₀HBsAg (P=0.045, odds ratio 4.03, 95% CI 0.136–0.976) correlated with a liver fibrosis score <F2, independently. Inverse correlations were found between log₁₀HBsAg and the LSM value (r=−576, P<0.001) and fibrosis staging (r=−374, P<0.001). Patients with a fibrosis score <F2 had a significantly higher log₁₀HBsAg than patients with a fibrosis score ≥F2 among those with an LSM value under 9.4 kPa (4.6±0.7 vs 4.3±0.5, P=0.006). The HBsAg titer achieved an area under the receiver operating characteristic curve of 0.758 (P<0.001, 95% CI 0.631–0.884) in predicting a fibrosis score <F2, with a cut-off value of 10,400 IU/mL, a positive predictive value of 73%, and a negative predictive value of 79%.

Conclusion

In HBeAg-positive patients with an alanine aminotransferase level <2× the upper limit of normal, high serum HBsAg levels can predict a fibrosis score <F2, and a lower HBsAg titer could be supportive of early fibrosis in patients with an LSM value under 9.4 kPa.

Comparison of diagnostic accuracy of aspartate aminotransferase to platelet ratio index and fibrosis-4 index for detecting liver fibrosis in adult patients with chronic hepatitis B virus infection: a systemic review and meta-analysis

The aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis index based on the four factors (Fibrosis 4 index; FIB-4) are the two most widely studied noninvasive tools for assessing liver fibrosis. Our aims were to systematically review the performance of APRI and FIB-4 in hepatitis B virus (HBV) infection in adult patients and compare their advantages and disadvantages. We examined the diagnostic accuracy of APRI and FIB-4 for significant fibrosis, advanced fibrosis, and cirrhosis based on their sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUROC). Heterogeneity was explored using metaregression. Our systemic review and meta-analysis included 16 articles of APRI only, 21 articles of APRI and FIB-4 and two articles of FIB-4 for detecting different levels of liver fibrosis. With an APRI threshold of 0.5, 1.0, and 1.5, the sensitivity and specificity values were 70.0% and 60.0%, 50.0% and 83.0%, and 36.9% and 92.5% for significant fibrosis, advanced fibrosis, and cirrhosis, respectively. With an FIB-4 threshold of 1.45 and 3.25, the sensitivity and specificity values were 65.4% and 73.6% and 16.2% and 95.2% for significant fibrosis. The summary AUROC values using APRI and FIB-4 for the diagnosis of significant fibrosis, advanced fibrosis, and cirrhosis were 0.7407 (95% confidence interval [CI]: 0.7033-0.7781) and 0.7844 (95% CI: 0.7450-0.8238; (Z = 1.59, P = 0.06), 0.7347 (95% CI: 0.6790-0.7904) and 0.8165 (95% CI: 0.7707-0.8623; Z = 2.01, P = 0.02), and 0.7268 (95% CI: 0.6578-0.7958) and 0.8448 (95% CI: 0.7742-0.9154; (Z = 2.34, P = 0.01), respectively.

CONCLUSIONS

Our meta-analysis suggests that APRI and FIB-4 can identify hepatitis B-related fibrosis with a moderate sensitivity and accuracy.

The prognostic values of 12 cirrhosis-relative noninvasive models in patients with hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinogenesis is associated with the progression of cirrhosis, and the latter further aggravates tumor development and prognosis. The aim of the study was to investigate the prognostic values of 12 cirrhosis-relative noninvasive models in hepatocellular carcinoma (HCC).

METHODS

We retrospectively analyzed 363 HCC patients who either underwent partial hepatectomy (PH) or received transcatheter arterial chemoembolization (TCAE). Preoperative data were collected to calculate these indices using the original formulas. Diagnostic accuracy of these models in detection of cirrhosis was evaluated by area under receiver operating characteristic curve (AUC) analysis. Multivariate analyses were performed to assess the independent prognostic significance of the 12 indicators.

RESULTS

Aspartate aminotransferase-platelet ratio index (APRI) and Goteborg University Cirrhosis Index (GUCI) were found to be significant in discriminating cirrhotic patients from non-cirrhotic individuals. When the indices were expressed as continuous variables, multivariate analyses indicated that APRI and GUCI were independent indices to predict overall survival in patients underwent PH, with a hazard ratio (HR) value 1.04 (p = 0.005) and 1.07 (p = 0.001), respectively. In the cohort of TACE, APRI and GUCI were independently associated with survival as well.

CONCLUSION

Of the 12 indices, APRI and GUCI were relatively accurate predictors of cirrhosis status as well as outcome of HCC. As only a limited study population was enrolled in the current study, larger cohorts are needed to validate our results.

A new model for predicting liver cirrhosis in chronic hepatitis B virus carriers with low serum alanine transaminase activity

OBJECTIVES

To develop a cirrhosis-predicted model in chronic hepatitis B virus carriers with alanine transarninase (ALT) less than two times the upper limit of normal (ULN).

METHODS

Treatment-naive patients (n=278), who had undergone liver biopsies, were randomly divided into two groups - a training group and a validation group. Thirteen bio-clinical parameters were analyzed. A liver cirrhosis-predicting model (PPT model) was constructed using multivariate analysis. The diagnostic value of the model was analyzed by the receiving operating characteristics (ROC) method and compared with other available models.

RESULTS

A PPT model to predict liver cirrhosis was derived from three independent predictors of liver fibrosis [platelet count (PLT), prothrombin time (PT) and total bile acid (TBA)]. PPT model predicted cirrhosis with an area under the ROC (AUROC) curve of 0.83, a positive predictive value of 86.7% and a negative predictive value of 95.2%. Compared with APRI, FIB-4, age-AST model, AP index and APGA model, PPT model had the highest correlation coefficient (r=0.49) and greater predictive performance (AUROC of 0.83).

CONCLUSIONS

The PPT model was accurate in predicting cirrhosis and may reduce the need for liver biopsy in chronic hepatitis B virus carriers with ALT less than two times ULN.

The diagnostic value of the FIB-4 index for staging hepatitis B-related fibrosis: a meta-analysis

Background

Liver fibrosis stage is an important factor in determining prognosis and need for treatment in patients infected with hepatitis B virus (HBV). Liver biopsies are typically used to assess liver fibrosis; however, noninvasive alternatives such as the FIB-4 index have also been developed.

Aims

To quantify the accuracy of the FIB-4 index in the diagnosis of HBV related fibrosis and cirrhosis.

Methods

A meta-analysis of studies comparing the diagnostic accuracy of the FIB-4 index vs. liver biopsy in HBV-infected patients was performed using studies retrieved from the following databases: PubMed, Ovid, EMBASE, the Cochrane Library, the Chinese National Knowledge Infrastructure and the Chinese Biology Medicine disc. A hierarchical summary receiver operating curves model and bivariate model were used to produce summary receiver operating characteristic curves and pooled estimates of sensitivity and specificity. The heterogeneity was explored with meta-regression analysis. Publication bias was detected using Egger’s test and the trim and fill method.

Results

12 studies (N = 1,908) and 10 studies (N = 2,105) were included in the meta-analysis for significant fibrosis and cirrhosis, respectively. For significant fibrosis, the area under the hierarchical summary receiver operating curve (AUHSROC) was 0.78 (95% CI = 0.74–0.81). The recommended cutoff value was between 1.45 and 1.62, and the AUHSROC, summary sensitivity and specificity were 0.78 (95% CI = 0.74–0.81), 0.65 (95% CI = 0.56–0.73) and 0.77 (95% CI = 0.7–0.83), respectively. For cirrhosis, the AUHSROC was 0.89 (95% CI = 0.85–0.91). The recommended cutoff value was between 2.9 and 3.6, and the AUHSROC, summary sensitivity and specificity were 0.96 (95% CI = 0.92–1.00), 0.42 (95% CI = 0.36–0.48) and 0.96 (95% CI = 0.95–0.97), respectively. No publication bias was detected.

Conclusions

The FIB-4 index is valuable for detecting significant fibrosis and cirrhosis in HBV-infected patients, but has suboptimal accuracy in excluding fibrosis and cirrhosis.

The effectiveness of noninvasive biomarkers to predict hepatitis B-related significant fibrosis and cirrhosis: a systematic review and meta-analysis of diagnostic test accuracy

Noninvasive biomarkers have been developed to predict hepatitis B virus (HBV)-related fibrosis owing to the significant limitations of liver biopsy. Those biomarkers were initially derived from evaluation of hepatitis C virus (HCV)-related fibrosis, and their accuracy among HBV-infected patients was under constant debate. A systematic review was conducted on records in PubMed, EMBASE and the Cochrane Library electronic databases, up until April 1st, 2013, in order to systematically assess the effectiveness and accuracy of these biomarkers for predicting HBV-related fibrosis. The questionnaire for quality assessment of diagnostic accuracy studies (QUADAS) was used. Out of 115 articles evaluated for eligibility, 79 studies satisfied the pre-determined inclusion criteria for meta-analysis. Eventually, our final data set for the meta-analysis contained 30 studies. The areas under the SROC curve for APRI, FIB-4, and FibroTest of significant fibrosis were 0.77, 0.75, and 0.84, respectively. For cirrhosis, the areas under the SROC curve for APRI, FIB-4 and FibroTest were 0.75, 0.87, and 0.90, respectively. The heterogeneity of FIB-4 and FibroTest were not statistically significant. The heterogeneity of APRI for detecting significant fibrosis was affected by median age (P = 0.0211), and for cirrhosis was affected by etiology (P = 0.0159). Based on the analysis we claim that FibroTest has excellent diagnostic accuracy for identification of HBV-related significant fibrosis and cirrhosis. FIB-4 has modest benefits and may be suitable for wider scope implementation.

Biomarkers of liver fibrosis

Liver fibrosis is the final common pathway for almost all causes of chronic liver injury. Liver fibrosis is now known to be a dynamic process having significant potential for resolution. Therefore, fibrosis prediction is an essential part of the assessment and management of patients with chronic liver disease. As such, there is strong demand for reliable liver biomarkers that provide insight into disease etiology, diagnosis, therapy, and prognosis in lieu of more invasive approaches such as liver biopsy. Current diagnostic strategies range from use of serum biomarkers to more advanced imaging techniques including transient elastography and magnetic resonance imaging. In addition to these modalities, there are other approaches including the use of novel, but yet to be validated, biomarkers. In this chapter, we discuss the biomarkers of liver fibrosis including the use of invasive and noninvasive biomarkers and disease-specific biomarkers in various chronic liver diseases.

Non-invasive histologic markers of liver disease in patients with chronic hepatitis B

BACKGROUND

An exact histologic staging of liver fibrosis is essential for identifying the best therapeutic strategy and determining the disease prognosis in patients with chronic hepatitis B (CHB). While liver biopsy has a vital role in the management of liver diseases, it also sustains some limitations hampering its widespread use.

OBJECTIVES

In this study, we evaluated and compared several available indices of the severity of liver diseases in patients with hepatitis.

PATIENTS AND METHODS

EXCLUSION CRITERIA WERE AS FOLLOWS: decompensated liver disease, alcoholic liver disease or alcohol intake of 40 g or more per week; co-infection with human immunodeficiency virus, hepatitis C virus, or hepatitis D virus.

RESULTS

Results showed that AST to platelet ratio index (APRI) (odds ratio = 2.35, P = 0.01) and age (odds ratio = 1.04, P = 0.007) were independently predictive of the presence of significant liver necrosis and inflammation. On the other hand, AARPRI (odds ratio = 3.8, P = 0.07), age (odds ratio = 1.04, P = 0.02), and ALT levels (odds ratio = 1.01, P = 0.007) were predictive of a significant liver fibrosis. Further analysis with receiver-operating curve showed that none of these predictors had a fair diagnostic value (area under the curve < 70).

CONCLUSIONS

The APRI had the highest sensitivity and specificity (64% and 71%, respectively) for prediction of the presence of liver disease. We suggest that APRI may be applicable for the detection of a severe liver disease.

Parameters associated with significant liver histological changes in patients with chronic hepatitis B

This study aimed to evaluate factors associated with significant liver histological changes. Liver biopsies from 157 CHB patients were retrospectively analyzed. Only ALB was significantly correlated with advanced liver necroinflammatory (P = 0.001). Age, ALB, GLOB, AST, PLT, and PT were independent predictors of significant fibrosis (P = 0.002, P < 0.001, P = 0.001, P = 0.048, P < 0.001, and P = 0.001, resp.). AST, WBC, and HBV DNA were significantly correlated with advanced fibrosis in normal ALT patients (P < 0.001, P = 0.041, and P = 0.012, resp.) and age, ALB, GLOB, PLT, and PT in patients with abnormal ALT (P = 0.003, P < 0.001, P = 0.004, P < 0.001, and P = 0.002, resp.). Age, AST, GGT, PLT, and PT were significantly associated with advanced fibrosis in HBeAg+ patients (P = 0.01, P = 0.016, P = 0.027, P = 0.016, and P = 0.009, resp.) and ALB, GLOB, WBC, PLT, and PT in HBeAg− patients (P < 0.001, P = 0.004, P = 0.005, P < 0.001, and P = 0.035, resp.). PLT was an excellent predictor for cirrhosis (P < 0.001 and AUROC = 0.805). ALT was not predictive of advanced fibrosis for patients with HBeAg+ or HBeAg− (P = 0.273 and P = 0.599, resp.). PLT was an excellent predictor for cirrhosis in CHB patients. Liver histopathology can be recommended for chronic HBV carriers of older age, with normal ALT, lower PLT, and lower ALB.