Scientific reports · 2025
MOFI-FL, a novel score for detecting hepatic steatosis and predicting cardiometabolic mortality.
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Reyes-Barrera Juan, Posadas-Sánchez Rosalinda, Vargas-Alarcón Gilberto, Cardoso-Saldaña Guillermo C, Almeda-Valdes Paloma, Bello Chavolla Omar Yaxmehen, Ortiz-Hernandez Luis, Antonio-Villa Neftali Eduardo
Аннотация
Hepatic steatosis (HS) is a common condition linked to increased cardiometabolic risk; however, biopsy and imaging-based methods limit the widespread diagnosis, especially in low-resource settings. Here, we develop the MOFI-FL index, a simplified tool for HS detection, validate its performance against vibration-controlled transient elastography (VCTE), and evaluate its association with all-cause and cause-specific mortality. Using data from the Genetics of Atherosclerotic Disease study as our discovery cohort, we developed MOFI-FL, incorporating ALT, glucose, uric acid, and BMI, with computed tomography (CT) as the gold standard of HS. We used the continuous NHANES (2017-2018 cycles, n = 4,405) to validate against VCTE and compare our index with four previously validated HS indices (FLI, HSI, NAFLD-LFS, and AST/ALT). Finally, we assessed all-cause and cause-specific mortality prediction using the NHANES-III cohort (n = 12,684) using Cox proportional hazards models adjusted for relevant confounders. The MOFI-FL index demonstrated good diagnostic performance in the internal validation cohort against CT (AUROC: 0.78 [95% CI: 0.72-0.83]; accuracy: 75% [70-79]) and against VCTE (NHANES 17-18: AUROC 0.77 [0.68-0.76]; accuracy: 70% [68-71]). It outperformed existing HS indices in the external cohort. Furthermore, a 1% increase in MOFI-FL was positively associated with all-cause mortality (HR = 1.005 [1.004-1.007]), as well as cardiovascular (HR = 1.008 [1.004-1.007]), diabetes-related (HR = 1.034 [1.028-1.040]), and nephrological deaths (HR = 1.012 [1.000-1.024]). MOFI-FL is a novel and simple tool for HS detection. It offers comparable performance to established indices and predictive capacity for cardiometabolic mortality, making it accessible for clinical and epidemiological applications.