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Poor Sensitivity of the Fatty Liver Index Among Lean Individuals
Mohammed Rifat Shaik1, Yaron Rotman
1Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
The American Journal of Gastroenterology
|December 12, 2025
Summary
The Fatty Liver Index (FLI) inaccurately detects steatotic liver disease (SLD) in lean individuals, overestimating disease severity. This index should not be used for population studies of lean SLD.
Area of Science:
- Hepatology
- Medical Diagnostics
- Public Health
Background:
- Fatty Liver Index (FLI) is a common tool for detecting steatotic liver disease (SLD).
- Its utility in lean individuals, a specific subgroup, remains unvalidated.
- FLI's reliance on body-size measures raises concerns about its suitability for lean populations.
Purpose of the Study:
- To validate the performance of the Fatty Liver Index (FLI) in detecting steatotic liver disease (SLD) among lean adults.
- To assess the accuracy of FLI thresholds in identifying SLD in lean versus the general population.
Main Methods:
- Utilized National Health and Nutrition Examination Survey (NHANES) 2017-20 data.
- Defined SLD using controlled attenuation parameter (CAP) ≥263 dB/m.
- Assessed FLI diagnostic performance (rule-in ≥60, rule-out <30) overall and in lean individuals identified by ethnicity-adjusted BMI cutoffs.
Main Results:
- The study included 7191 participants; 50% had SLD, including 13.7% of 1739 lean individuals.
- FLI performed poorly in lean participants (sensitivity 6.3% for rule-in), misidentifying individuals.
- Lean individuals flagged by FLI differed significantly from confirmed cases, showing higher BMI and cardiometabolic risk factors.
Conclusions:
- Fatty Liver Index (FLI) is inaccurate for detecting steatotic liver disease (SLD) in lean individuals due to its dependence on body-size measures.
- FLI application to lean populations leads to overestimation of disease severity and misclassification.
- FLI should be avoided in population-based studies focusing on lean individuals with SLD.

