SummaryWe compared Wisteria floribunda agglutinin-positive Mac-2-binding protein (WFA

The WFA -M2BP level can be a useful marker for assessing liver histological findings in patients with treatment-naïve CHB, although it has several limitations.

Aim To examine the relationship between the Wisteria floribunda agglutinin positive Mac‐2‐binding protein (WFA+‐M2BP) level and histological findings for patients with non‐alcoholic steatohepatitis (NASH). Methods A total of 134 NASH patients (mean age, 51.7 years) were analyzed. We examined the effect of WFA+‐M2BP level on severity of liver fibrosis comparing with other laboratory markers, including aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio, AST to platelet ratio index (APRI), FIB‐4 index, platelet count and hyaluronic acid as serum liver fibrosis markers. Receiver–operator curve (ROC) analysis was performed for calculating the area under the ROC (AUROC). Results The WFA+‐M2B P‐value ranged from 0.2 cut‐off index (COI) to 9.6 COI (median, 0.9). The median values in each fibrosis stage were: 0.7 COI in F1, 0.7 COI in F2, 1.2 COI in F3 and 2.4 COI in F4 (P < 0.001). For predicting liver cirrhosis (F4), WFA+‐M2BP level had the AUROC of 0.854 (sensitivity, 69.2%; specificity, 88.4%) and for predicting advanced liver fibrosis (≥F3), WFA+‐M2BP level yielded the second highest AUROC with a level of 0.842 (sensitivity, 73.7%; specificity, 80.2%) and for predicting significant liver fibrosis (≥F2), WFA+‐M2BP level yielded the highest AUROC with a level of 0.663 (sensitivity, 47.2%; specificity, 78.6%) among six liver fibrosis markers. The median values in patients with ballooning scores 1 (n = 58) and 2 (n = 76) were 0.6 and 1.1 COI, respectively (P < 0.001). Conclusion Serum WFA+‐M2BP level can be useful for assessing liver histological findings in patients with NASH.

The aims of the present study were to examine the relationship between serum B-cell activating factor belonging to the tumor necrosis factor family (BAFF) levels and serum interferon-γ-inducible protein-10 (IP-10) levels in patients with autoimmune hepatitis (AIH).A total of 80 corticosteroid therapy naive AIH patients were analyzed in this analysis. First, we examined the relationship between pretreatment serum BAFF and IP-10 levels and liver histological findings. Next, we investigated the relationship of pretreatment serum BAFF and IP-10 levels and aspartate aminotransferase value (AST), alanine aminotransferase value, and serum Immunoglobulin G (IgG) level as serum liver inflammation markers.Our study included 14 men and 66 women with the median (range) age of 64 (21–83) years. The serum BAFF levels ranged from 122.5 to 7696.0 pg/mL (median value, 1417.8 pg/mL), whereas the serum IP-10 levels ranged from 142.0 to 4198.7 pg/mL (median value, 640.1 pg/mL). The serum BAFF levels were significantly stratified in each 2 liver inflammation stage. Similarly, the serum IP-10 levels were significantly stratified in each 2 liver inflammation stage. Among 3 serum inflammation markers, AST value had the highest rs value in terms of the relationship with BAFF level (rs = 0.511, P < 0.001) and IP-10 level (rs = 0.626, P < 0.001). In addition, the serum BAFF level significantly correlated with serum IP-10 level (rs = 0.561, P < 0.001). In patients without advanced fibrosis (F3 or more), the serum BAFF level significantly correlated with serum IP-10 level (rs = 0.658, P < 0.001), whereas in patients with advanced fibrosis, the serum BAFF level significantly correlated with serum IP-10 level (rs = 0.542, P < 0.001).In conclusion, both BAFF and IP-10 are useful for predicting the degree of liver inflammation activity in AIH. BAFF and IP-10 may have the common clinical implication for liver inflammation activity for AIH patients.

The VFMAP score accurately predicted HCC in patients with chronic liver disease.

Interferon-based triple therapy in patients with CHC may cause significant sleep disturbances. Interferon-free DAA therapy is less likely to deteriorate sleep conditions in patients with CHC.

We aimed to elucidate the incidence of protein–energy malnutrition (PEM) in patients with chronic liver disease and to identify factors linked to the presence of PEM.A total of 432 patients with chronic liver disease were analyzed in the current analysis. We defined patients with serum albumin level of ≤3.5 g/dL and nonprotein respiratory quotient (npRQ) value using indirect calorimetry less than 0.85 as those with PEM. We compared between patients with PEM and those without PEM in baseline characteristics and examined factors linked to the presence of PEM using univariate and multivariate analyses.There are 216 patients with chronic hepatitis, 123 with Child–Pugh A, 80 with Child–Pugh B, and 13 with Child–Pugh C. Six patients (2.8%) had PEM in patients with chronic hepatitis, 17 (13.8%) in patients with Child–Pugh A, 42 (52.5%) in patients with Child–Pugh B, and 10 (76.9%) in patients with Child–Pugh C (P < 0.001). Multivariate analysis revealed that Child–Pugh classification (P < 0.001), age ≥64 years (P = 0.0428), aspartate aminotransferase (AST) ≥40 IU/L (P = 0.0023), and branched-chain amino acid to tyrosine ratio (BTR) ≤5.2 (P = 0.0328) were independent predictors linked to the presence of PEM. On the basis of numbers of above risk factors (age, AST, and BTR), the proportions of patients with PEM were well stratified especially in patients with early chronic hepatitis or Child–Pugh A (n = 339, P < 0.0001), while the proportions of patients with PEM tended to be well stratified in patients with Child–Pugh B or C (n = 93, P = 0.0673).Age, AST, and BTR can be useful markers for identifying PEM especially in patients with early stage of chronic liver disease.

Aim:We aimed to construct a predictive model for advanced fibrosis containing Wisteria floribunda agglutinin-positive Mac-2-binding protein (WFA + -M2BP) level in patients with chronic hepatitis C (CHC) and to validate its accuracy in an independent cohort.Methods: A total of 386 patients with CHC were retrospectively analyzed. For the purpose of this study, we formed a training set (n = 210) and a validation set (n = 176). In the training set, we investigated variables linked to the presence of advanced fibrosis using univariate and multivariate analyses. We constructed a formula for predicting advanced fibrosis and validated its accuracy in the validation cohort. Receiver operating characteristic curve (ROC) analysis was carried out for calculating the area under the ROC (AUROC).Results: In multivariate analyses, WFA + -M2BP (P = 0.029) and prothrombin time (PT) (P = 0.018) were found to be significant predictive factors linked to the presence of advanced fibrosis; platelet count (P = 0.098) and hyaluronic acid (P = 0.078) showed borderline statistical significance for the presence of advanced fibrosis. Using these four variables (with the initials MPPH), we constructed the following formula: MPPH score = À3.584 À (0.275 × WFA + -M2BP) + (0.068 × platelet count) + (0.042 × PT) À (0.005 × hyaluronic acid). In the training and validation sets, MPPH score yielded the highest AUROCs (0.87 and 0.83) for predicting advanced fibrosis among eight serum liver fibrosis markers. Similarly, in the training and validation sets, MPPH score had the highest diagnostic accuracies for predicting advanced fibrosis among eight serum variables (81.4% and 74.4%). Conclusion:Our proposed MPPH scoring system can be useful for predicting advanced fibrosis in patients with CHC.