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.
RESULTS: MFS was composed of seven variables: age, body mass index, international normalised ratio, aspartate aminotransferase, gamma-glutamyl transpeptidase, platelet count, and history of type 2 diabetes. MFS demonstrated an area under the receiver-operating characteristic curve of 0.848 [95% CI 0.800-898] and 0.823 [0.760-0.886] in training and validation cohorts, significantly higher than aminotransferase-to-platelet ratio index (0.684 [0.603-0.765], 0.663 [0.588-0.738]), Fibrosis-4 index (0.793 [0.735-0.854], 0.737 [0.660-0.814]), and non-alcoholic fatty liver disease fibrosis score (0.785 [0.731-0.844], 0.750 [0.674-0.827]) (DeLong's test p
METHODS: This is a retrospective analysis of the United Network for Organ Sharing registry data of LT recipients from January 1, 2000, to December 31, 2021. Outcomes analysis was performed using Cox proportional model for all-cause mortality and graft failure. Confounding was reduced by coarsened exact matching causal inference analysis.
RESULTS: Of 66 960 donors identified, 7178 (10.7%) had diabetes. Trend analysis revealed a longitudinal increase in the prevalence of donor diabetes ( P
METHODS: This international study included seven adult cohorts with suspected NAFLD who underwent liver biopsy, LSM and blood sampling during routine clinical practice or screening for trials. The population was randomly divided into a training set and an internal validation set, on which the best-fitting logistic regression model was built, and performance and goodness of fit were assessed, respectively. Furthermore, both scores were externally validated on two large cohorts. Cut-offs for high sensitivity and specificity were derived in the training set to rule-out and rule-in cirrhosis or AF and then tested in the validation set and compared to FIB-4 and LSM.
RESULTS: Each score combined LSM, AST/ALT ratio, platelets, sex and diabetes status, as well as age for Agile 3+. Calibration plots for Agile 4 and Agile 3+ indicated satisfactory to excellent goodness of fit. Agile 4 and Agile 3+ outperformed FIB-4 and LSM in terms of AUROC, percentage of patients with indeterminate results and positive predictive value to rule-in cirrhosis or AF.
CONCLUSIONS: The two novel non-invasive scores improve identification of cirrhosis or AF among individuals with NAFLD attending liver clinics and reduce the need for liver biopsy in this population.
IMPACT AND IMPLICATIONS: Non-invasive tests currently used to identify patients with advanced fibrosis or cirrhosis, such as fibrosis-4 index and liver stiffness measurement by vibration-controlled transient elastography, have high negative predictive values but high false positive rates, while results are indeterminate for a large number of cases. This study provides scores that will help the clinician diagnose advanced fibrosis or cirrhosis. These new easy-to-implement scores will help liver specialists to better identify (1) patients who need more intensive follow-up, (2) patients who should be referred for inclusion in therapeutic trials, and (3) which patients should be treated with pharmacological agents when effective therapies are approved.
METHODS AND MATERIALS: Hyperuricemia model was performed in male Swiss Webster mice. Intraperitoneally injection of uric acid (125mg/kg body weight) was done for 7 and 14 days (UA7 and UA14 groups). Meanwhile, the UAL groups were injected with uric acid and followed by the administration of allopurinol (UAL7 and UAL14 groups). On the due date, mice were sacrificed, and liver was harvested. Uric acid, SGOT, SGPT, and albumin level were measured from the serum. The mRNA expression of TLR4, MCP1, CD68, and collagen1 were assessed through RT-PCR. Liver fibrosis was quantified through Sirius red staining, while the number of hepatic stellates cells (HSCs) and TLR4 were assessed through IHC staining.
RESULTS: Uric acid induction for 7 and 14 days stimulated an increase of both SGOT and SGPT serum levels. Followed by enhanced inflammatory mediators: Toll-like receptor-4 (TLR- 4), Monocyte Chemoattractant Protein-1 (MCP-1) and Cluster of Differentiation 68 (CD68) mRNA expression in the liver (p<0.05). The histological findings showed that the UA7 and UA14 groups had higher liver fibrosis scores (p<0.05), collagen I mRNA expression (p<0.05), and the number of HSCs (p<0.05) compared to Control group. Administration of allopurinol showed amelioration of uric acid and liver enzymes levels which followed by inflammatory mediators, liver fibrosis and collagen1, and hepatic stellate cells significantly.
CONCLUSION: Therefore, uric acid augmented the liver fibrosis by increasing the number of hepatic stellate cells.
METHODOLOGY: A total of 56 consecutive children aged 6 to 18 years old were recruited from the pediatric obesity and type 2 diabetes mellitus (T2DM) clinic in University Malaya Medical Centre (UMMC) from 2016 to 2019. Data on anthropometric measurements, clinical components of metabolic syndrome and fasting serum insulin were collected. Triglyceride to high-density lipoprotein cholesterol ratio (TG: HDL-C), Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) and Single Point Insulin Sensitivity Estimator (SPISE) were calculated. Transient elastography was performed with hepatic steatosis and liver fibrosis assessed by controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), respectively.
RESULTS: A total of 44 children (78.6%) had liver steatosis and 35.7% had presence of significant liver fibrosis (stage F≥2). Majority (89.3%) are obese and 24 children (42.9%) were diagnosed with metabolic syndrome. Higher number of children with T2DM and significant liver fibrosis were associated with higher tertiles of TG: HDL-C ratio (p<0.05). Top tertile of TG: HDL-C ratio was an independent predictor of liver fibrosis (OR=8.14, 95%CI: 1.24-53.36, p=0.029). ROC analysis showed that the area under the curve (AUC) of HOMA-IR (0.77) and TG: HDL-C ratio (0.71) were greater than that of metabolic syndrome (0.70), T2DM (0.62) and SPISE (0.22). The optimal cut-off values of HOMA-IR and TG: HDL-C ratio for detecting liver fibrosis among children with NAFLD are 5.20 and 1.58, respectively.
CONCLUSION: Children with NAFLD and higher TG: HDL-C ratio are more likely to have liver fibrosis. TG: HDL-C ratio is a promising tool to risk stratify those with NAFLD who are at risk of developing advanced liver disease.
METHODS AND RESULTS: This was an individual patient data meta-analysis of 1780 patients with biopsy-proven NAFLD and T2D. The index tests of interest were FIB-4, NAFLD Fibrosis Score (NFS), aspartate aminotransferase-to-platelet ratio index, liver stiffness measurement (LSM) by vibration-controlled transient elastography, and AGILE 3+. The target conditions were advanced fibrosis, NASH, and fibrotic NASH(NASH plus F2-F4 fibrosis). The diagnostic performance of noninvasive tests. individually or in sequential combination, was assessed by area under the receiver operating characteristic curve and by decision curve analysis. Comparison with 2278 NAFLD patients without T2D was also made. In NAFLD with T2D LSM and AGILE 3+ outperformed, both NFS and FIB-4 for advanced fibrosis (area under the receiver operating characteristic curve:LSM 0.82, AGILE 3+ 0.82, NFS 0.72, FIB-4 0.75, aspartate aminotransferase-to-platelet ratio index 0.68; p < 0.001 of LSM-based versus simple serum tests), with an uncertainty area of 12%-20%. The combination of serum-based with LSM-based tests for advanced fibrosis led to a reduction of 40%-60% in necessary LSM tests. Decision curve analysis showed that all scores had a modest net benefit for ruling out advanced fibrosis at the risk threshold of 5%-10% of missing advanced fibrosis. LSM and AGILE 3+ outperformed both NFS and FIB-4 for fibrotic NASH (area under the receiver operating characteristic curve:LSM 0.79, AGILE 3+ 0.77, NFS 0.71, FIB-4 0.71; p < 0.001 of LSM-based versus simple serum tests). All noninvasive scores were suboptimal for diagnosing NASH.
CONCLUSIONS: LSM and AGILE 3+ individually or in low availability settings in sequential combination after FIB-4 or NFS have a similar good diagnostic accuracy for advanced fibrosis and an acceptable diagnostic accuracy for fibrotic NASH in NAFLD patients with T2D.
METHODS: In a cross-sectional study of 379 hemodialysis patients, FibroTouch transient elastography was performed on all patients. Erythropoeitin resistance index (ERI) was used to measure the responsiveness to ESA. Patients in the highest tertile of ERI were considered as having ESA hypo-responsiveness.
RESULTS: The percentage of patients with ESA hypo-responsiveness who had MAFLD was lower than patients without ESA hypo-responsiveness. FIB-4 index was significantly higher in ESA hypo-responsive patients. In multivariate analysis, female gender (aOR = 3.4, 95% CI = 1.9-6.2, p < 0.001), dialysis duration ≥50 months (aOR = 1.8, 95% CI = 1.1-2.9, p < 0.05), elevated waist circumference (aOR = 0.4, 95% CI = 0.2-0.8, p = 0.005), low platelet (aOR = 2.6, 95% CI 1.3-5.1, p < 0.01), elevated total cholesterol (aOR = 0.5, 95% CI 0.3-0.9, p < 0.05) and low serum iron (aOR = 3.8, 95% CI = 2.3-6.5, p < 0.001) were found to be independent factors associated with ESA hypo-responsiveness. Neither MAFLD nor advanced liver fibrosis was independently associated with ESA hypo-responsiveness. However, every 1 kPA increase in LSM increased the chance of ESA-hyporesponsiveness by 13% (aOR = 1.1, 95% CI = 1.0-1.2, p = 0.002) when UAP and LSM were used instead of presence of MAFLD and advanced liver fibrosis, respectively.
CONCLUSION: MAFLD and advanced liver fibrosis were not independently associated with ESA hypo-responsiveness. Nevertheless, higher FIB-4 score in ESA hypo-responsive group and significant association between LSM and ESA hypo-responsiveness suggest that liver fibrosis may be a potential clinical marker of ESA hypo-responsiveness.
METHODS: A cross-sectional, self-reported, web-based questionnaire was conducted among 500 adults between February and March 2020. Questionnaire items pertained to the knowledge and attitudes toward liver-related health and diseases.
RESULTS: Half of the respondents were aged ≥35 years and 52.0% were males. Gaps in knowledge included the lack of awareness of different types of hepatitis, including the potential transmission risks and complications of HBV and HCV. About half acknowledged liver fibrosis and cirrhosis as key determinants of liver-related disease progression. A higher proportion rightly recognized the diagnostic test for HCV (40.8%) than HBV (30.0%) despite more being aware of HBV than HCV. Less than one-third were aware of the risk factors, screening tests, and complications of NAFLD. Despite the majority (92.8%) agreeing that regular screening was important for liver health, only 67.0% attended recent health screening and one-fifth were unlikely to seek medical consultation upon exposure to viral hepatitis risk factors. Reasons for this low urgency included the perception of being healthy, cost-related concerns, and societal discrimination.
CONCLUSION: Robust education efforts are needed to raise awareness and empower the community with knowledge of liver-related diseases, particularly viral hepatitis and NAFLD in Malaysia.