METHODS: Six hundred and thirty-six adults with biopsy-proven non-alcoholic fatty liver disease (NAFLD) from two independent Asian cohorts were enrolled in our study. Liver stiffness measurement (LSM) was assessed by vibration-controlled transient elastography (Fibroscan). Fibrotic NASH was defined as NASH with a NAFLD activity score (NAS) ≥ 4 and F ≥ 2 fibrosis.

AIM: To evaluate the accuracy of MACK-3 for the diagnosis of fibrotic NASH.

METHODOLOGY: Consecutive adult non-alcoholic fatty liver disease (NAFLD) patients who had liver biopsy in a university hospital were included. MACK-3 was calculated using the online calculator using the following variables: fasting glucose, fasting insulin, aspartate aminotransferase (AST) and cytokeratin 18 (CK18). MACK-3 cut-offs ≤0.134 and ≥0.550 were used to predict absence and presence of fibrotic NASH, respectively. Histopathological examination of liver biopsy specimen was reported according to the NASH Clinical Research Network Scoring System.

RESULTS: Data for 196 subjects were analysed. MACK-3 was good for diagnosis of fibrotic NASH (area under receiver-operating characteristics curve [AUROC] 0.80), comparable to the Fibrosis-4 index (FIB4) and the NAFLD fibrosis score (NFS) and superior to the BARD score and CK18. MACK-3 was good for diagnosis of active NASH (AUROC 0.81) and was superior to other blood fibrosis tests. The overall accuracy, percentage of subjects in grey zone, sensitivity, specificity, positive predictive value and negative predictive value of MACK-3 for diagnosis of fibrotic NASH was 79.1%, 46.9%, 100%, 43.8%, 43.1% and 100%, respectively, while for diagnosis of active NASH was 90.0%, 39.3%, 84.2%, 81.4%, 88.9% and 74.5%, respectively.

METHODS: Retrospective analysis of prospectively collected data on adult NAFLD patients who had two FibroScan examination within 6 months prior to liver biopsy. F3-F4 fibrosis was excluded using LSM cut-off of 7.9 kPa.

MATERIAL AND METHODS: This is a cross-sectional study on NAFLD patients who had a liver biopsy and LSM on the same day. The diagnostic performance of the Hepamet fibrosis score was evaluated using the area under the receiver operating characteristic curve (AUROC).

RESULTS: The data for 196 patients were analyzed (mean age 50 ± 11 years old, 50% men, 56.6% Malay, 27.6% Chinese, 15.8% Indian, 67.9% NASH, 15.8% advanced liver fibrosis). The AUROC of Hepamet fibrosis score for the diagnosis of advanced liver fibrosis was 0.85 (95% CI, 0.80 - 0.91). Using the <0.12 and ≥0.47 cut-offs from the original study, the sensitivity, specificity, positive predictive value, negative predictive value, the proportion of indeterminate results and misclassification rate were 81.8%, 91.8%, 47.4%, 98.2%, 32.1% and 6.1%, respectively. Using LSM <10 kPa and ≥15 kPa for the diagnosis of absence and presence of advanced liver fibrosis, respectively, in patients with Hepamet fibrosis score ≥0.47 (i.e., the two-step approach) reduced indeterminate results and misclassification to 16.1% and 3.6%, respectively.

METHODS: This was an international, multicenter, prospective, randomized controlled study. After providing informed consent, consecutive adult patients referred for EUS-FNTA for solid lesions larger than 2 cm were randomized to a MOSE arm or to a conventional arm without ROSE. A designated cytopathologist from each center performed all cytopathological examinations for that center and was blinded to the randomization results. The primary outcome measure was the diagnostic yield, and the secondary outcomes included sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy, and the rate of procedure-related complications.

AIMS: We developed and validated MAFLD fibrosis score (MFS) for identifying advanced fibrosis (≥F3) among MAFLD patients.

METHODS: This cross-sectional, multicentre study consecutively recruited MAFLD patients receiving tertiary care (Malaysia as training cohort [n = 276] and Hong Kong and Wenzhou as validation cohort [n = 431]). Patients completed liver biopsy, vibration-controlled transient elastography (VCTE), and clinical and laboratory assessment within 1 week. We used machine learning to select 'highly important' predictors of advanced fibrosis, followed by backward stepwise regression to construct MFS formula.

METHODS: This is a single-centre prospective study of a well-characterized cohort of MAFLD patients who underwent liver biopsy and followed every 6-12 months for adverse clinical outcomes.