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Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis
Published on: March 11, 2017
MOFI-FL, a novel score for detecting hepatic steatosis and predicting cardiometabolic mortality
Juan Reyes-Barrera1,2, Rosalinda Posadas-Sánchez2, Gilberto Vargas-Alarcón3,4
1Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Ciudad de México, México.
Insights
A new simplified tool, the MOFI-FL index, effectively detects hepatic steatosis (fatty liver disease). This index also predicts mortality risk, offering a valuable, accessible option for clinical and research settings.
Area of Science:
- Hepatology
- Cardiometabolic Health
- Biostatistics
Background:
- Hepatic steatosis (HS) is prevalent and linked to cardiometabolic risk.
- Current diagnostic methods (biopsy, imaging) have limitations, especially in resource-limited areas.
Purpose of the Study:
- To develop and validate the MOFI-FL index, a simplified tool for HS detection.
- To assess MOFI-FL's performance against established methods and its association with mortality.
Main Methods:
- Developed MOFI-FL using ALT, glucose, uric acid, and BMI, validated against CT in a discovery cohort.
- Validated MOFI-FL against vibration-controlled transient elastography (VCTE) in NHANES (2017-2018).
- Assessed mortality prediction using NHANES-III cohort and Cox proportional hazards models.
Main Results:
- MOFI-FL showed good diagnostic performance against CT (AUROC: 0.78) and VCTE (AUROC: 0.77).
- MOFI-FL outperformed existing HS indices in external validation.
- Increased MOFI-FL was associated with higher all-cause, cardiovascular, diabetes-related, and nephrological mortality.
Conclusions:
- MOFI-FL is a novel, simple, and accessible tool for hepatic steatosis detection.
- The index demonstrates comparable performance to established tools.
- MOFI-FL has predictive capacity for cardiometabolic mortality.
Abstract:
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.
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