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INTRODUCTION AND OBJECTIVES: Fatty liver disease is a multisystem disease. Metabolic dysfunction-associated fatty liver disease (MAFLD) is a more accurate indicator of chronic kidney disease (CKD) than nonalcoholic fatty liver disease (NAFLD). However, the relationship between recently defined metabolic dysfunction-associated steatotic liver disease (MASLD) and CKD is currently unclear. The objective of this cross-sectional study was to investigate the prevalence of CKD and albuminuria among individuals diagnosed with either MAFLD or MASLD. PATIENTS AND METHODS: This study involved 5,492 participants who provided biochemical marker and liver ultrasound data from the U.S. National Health and Nutrition Examination Survey (2017-2020). Multiple logistic regression analyses were conducted to assess the independent associations of nonoverlapping MAFLD and MASLD with the presence of CKD or albuminuria (urinary albumin-to-creatinine ratio ≥ 3 mg/mmol). RESULTS: MAFLD and MASLD were identified in 47% and 44.5% of the participants, respectively. Individuals with MAFLD-only had a greater prevalence of CKD (24.7% vs. 8.3 %, P < 0.006) and albuminuria (18.6% vs. 5%, P < 0.01) than did those with MASLD-only. Importantly, after adjusting for factors such as sex, age, ethnicity, and alcohol use, it was demonstrated that individuals in the MAFLD-only group had a 4.73-fold greater likelihood of having prevalent CKD than those in the MASLD-only group (P < 0.03). CONCLUSIONS: The MAFLD criteria better identify patients with CKD than do the MASLD criteria. Therefore, it is suggested that the MASLD criteria be reconsidered, as currently, the justification for changing from MAFLD to MASLD criteria may not be appropriate.
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BACKGROUND: We recently developed a simple novel index called fibrosis 6 (FIB-6) using machine learning data analysis. We aimed to evaluate its performance in the diagnosis of liver fibrosis and cirrhosis in chronic hepatitis B (CHB). METHODS: A retrospective observational analysis of data was obtained from seven countries (Egypt, Kingdom of Saudi Arabia (KSA), Turkey, Greece, Oman, Qatar, and Jordan) of CHB patients. The inclusion criteria were receiving an adequate liver biopsy and a complete biochemical and hematological data. The diagnostic performance analysis of the FIB-6 index was conducted and compared with other non-invasive scores. RESULTS: A total of 603 patients were included for the analysis; the area under the receiver operating characteristic curve (AUROC) of FIB-6 for the discrimination of patients with cirrhosis (F4), compensated advanced chronic liver disease (cACLD) (F3 and F4), and significant fibrosis (F2-F4) was 0.854, 0.812, and 0.745, respectively. The analysis using the optimal cut-offs of FIB-6 showed a sensitivity of 70.9%, specificity of 84.1%, positive predictive value (PPV) of 40.3%, and negative predictive value (NPV) of 95.0% for the diagnosis of cirrhosis. For the diagnosis of cACLD, the results were 71.5%, 69.3%, 40.8%, and 89.2%, respectively, while for the diagnosis of significant fibrosis, the results were 68.3%, 67.5%, 59.9%, and 75.0%, respectively. When compared to those of fibrosis 4 (FIB-4) index, aspartate aminotransferase (AST)-to-platelet ratio index (APRI), and AST-to-alanine aminotransferase (ALT) ratio (AAR), the AUROC for the performance of FIB-6 was higher than that of FIB-4, APRI, and AAR in all fibrosis stages. FIB-6 gave the highest sensitivity and NPV (89.1% and 92.4%) in ruling out cACLD and cirrhosis, as compared to FIB-4 (63.8% and 83.0%), APRI (53.9% and 86.6%), and AAR (47.5% and 82.3%), respectively. CONCLUSIONS: The FIB-6 index could be used in ruling out cACLD, fibrosis, and cirrhosis with good reliability.