ABSTRACT
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD), in the context of autoimmune hepatitis (AIH) among liver transplantation (LT) candidates or recipients remains poorly understood. This study compares waitlist and post-LT outcomes in patients with MASLD/AIH to MASLD and AIH alone. METHODS: Using the united network organ sharing database (2002-2022), we compared waitlist outcomes and post-LT survival among patients with MASLD/AIH (n = 282), AIH (n = 5812), and MASLD (n = 33 331). Competing risk, Kaplan Meier estimates and Cox proportional hazard analyses were performed. RESULTS: MASLD/AIH group had the highest rates of encephalopathy and ascites, and highest MELD scores. MASLD/AIH patients had higher transplantation incidence (adjusted subdistribution hazard ratio [aSHR] 1.64, 95% CI 1.44-1.85; p < .001) and lower waitlist removal risk (aSHR .30, 95% CI .20-.44; p < .001) compared to MASLD alone. One-year post-LT survival favoured MASLD compared to AIH (patient: 92% vs. 91%, p < .001; graft: 89% vs. 88%, p < .001) and MASLD/AIH (patient: 92% vs. 90%, p = .008; graft: 89% vs. 88%, p = .023). Recipients with MASLD/AIH showed no significant difference in survival at 10-year post-LT compared to MASLD (patient: 63% vs. 61%, p = .68; graft 60% vs. 59%, p = .83) and AIH (patient: 63% vs. 70%, p = .07; graft: 60% vs. 64%, p = .42). CONCLUSIONS: Our study showed that MASLD/AIH patients demonstrate higher LT incidence and lower dropout rates. Long-term post-LT outcomes did not significantly differ between groups. Further prospective multicenter studies are needed to validate these findings.
ABSTRACT
BACKGROUND: Non-invasive tests (NITs) are useful to assess advanced fibrosis (AF) in nonalcoholic fatty liver disease (NAFLD). Data from Asian countries suggest that these tests have poor performance. We aimed to assess diagnostic accuracy of established thresholds of biomarker-based NITs and Transient Elastography (TE) in identifying AF and evaluated the utility of a two-step test approach. METHODS: Biopsy-proven 641 NAFLD patients (55.2% males, median age 42 years) were included from three different centers of Asia. AF (≥ F3) was identified as per histological staging (24.8%). RESULTS: TE had the highest area under the receiver operating characteristic curve (AUROC) 0.82 (0.79-0.86), and all other biomarker-based NITs had low AUROC (< 0.7). NITs performed poorly at established thresholds. The combination of NITs utilizing liver stiffness measurement (LSM) and biomarkers, Agile 3+ and FAST, demonstrated acceptable diagnostic accuracy (AUROC 0.82 and 0.78, respectively), but none were superior to LSM alone. LSM measured using appropriate M and XL probes remained accurate regardless of body mass index (BMI); NFS and APRI scores were less accurate at higher BMI ranges. A two-step approach using NFS rule-out criteria (< - 2.97 to rule out) followed by LSM (< 7.3 kPa to rule out and ≥ 12.7 kPa to rule in) correctly classified 62.4% of patients, with only 10.2% of patients incorrectly classified. CONCLUSION: NITs have not been validated to identify AF in the Asian NAFLD population, and internationally accepted thresholds yield high false-negative rates. LSM and LSM-based combination tests remain the most accurate.