S2498 BMI Does Not Predict Advanced Fibrosis in Non-Obese Adults With Hepatic Steatosis

Introduction: Cryptogenic steatotic liver disease (CSLD) and metabolic dysfunction-associated steatotic liver disease (MASLD) both involve fat accumulation in the liver but differ in etiology. CSLD is recognized as distinct from MASLD based on clinical and pathological features. The redefinition of MASLD emphasizes metabolic dysfunction, but the role of BMI in predicting disease severity in non-obese individuals (BMI <30 kg/m²) is unclear. Methods: This retrospective single-center study included 214 adult primary care patients with BMI <30 kg/m² and hepatic steatosis on imaging, excluding those with significant alcohol use or secondary liver disease. MASLD was defined by hepatic steatosis plus ≥2 cardiometabolic risk factors (hypertension, hyperlipidemia, prediabetes) or type 2 diabetes alone. CSLD was defined by hepatic steatosis with 0–1 cardiometabolic risk factors. Fibrosis was assessed using the Fib-4 index (≥2.67 implying advanced fibrosis). BMI was evaluated as both a binary (<25 vs ≥25 kg/m²) and continuous variable. Multivariable logistic regression, with backward stepwise selection, identified significant independent predictors of advanced fibrosis. The model adjusted for BMI, race, sex, hypertension, glycemic status, and lipid status. Results: The Mantel-Haenszel chi-squared test assessed whether BMI influenced the relationship between liver fibrosis and etiology (MASLD vs idiopathic steatosis). For those with BMI <25 kg/m², there was no significant association between fibrosis and etiology (aOR 0.74 [95% CI: 0.19–2.93], P = 0.763). Similarly, in those with BMI ≥25 kg/m², there was no significant association between fibrosis and etiology (aOR = 1.15[95% CI: 0.4–3.2], P = 0.814). For MASLD and CSLD patients, multivariable logistic regression analysis identified hyperlipidemia with hypertriglyceridemia as a significant factor for advanced fibrosis (OR = 1.291 [95% CI: 1.079–2.838], P = 0.0358). However, BMI was not a significant predictor of advanced fibrosis. While univariate analysis suggested African American race may be protective against advanced fibrosis (P = 0.045), this was not significant in the multivariable model. Conclusion: In non-obese individuals with hepatic steatosis, BMI is not an independent predictor of advanced fibrosis regardless of etiology. These findings support a shift away from BMI-centered evaluation and prioritizing metabolic risk factors—particularly dyslipidemia—in fatty liver disease management.

Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001137452.44155.15
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

S2498 BMI Does Not Predict Advanced Fibrosis in Non-Obese Adults With Hepatic Steatosis

The American Journal of Gastroenterology
Liver Disease Diagnosis and Treatment
article

S2498 BMI Does Not Predict Advanced Fibrosis in Non-Obese Adults With Hepatic Steatosis

article en

Abstract

Introduction: Cryptogenic steatotic liver disease (CSLD) and metabolic dysfunction-associated steatotic liver disease (MASLD) both involve fat accumulation in the liver but differ in etiology. CSLD is recognized as distinct from MASLD based on clinical and pathological features. The redefinition of MASLD emphasizes metabolic dysfunction, but the role of BMI in predicting disease severity in non-obese individuals (BMI <30 kg/m²) is unclear. Methods: This retrospective single-center study included 214 adult primary care patients with BMI <30 kg/m² and hepatic steatosis on imaging, excluding those with significant alcohol use or secondary liver disease. MASLD was defined by hepatic steatosis plus ≥2 cardiometabolic risk factors (hypertension, hyperlipidemia, prediabetes) or type 2 diabetes alone. CSLD was defined by hepatic steatosis with 0–1 cardiometabolic risk factors. Fibrosis was assessed using the Fib-4 index (≥2.67 implying advanced fibrosis). BMI was evaluated as both a binary (<25 vs ≥25 kg/m²) and continuous variable. Multivariable logistic regression, with backward stepwise selection, identified significant independent predictors of advanced fibrosis. The model adjusted for BMI, race, sex, hypertension, glycemic status, and lipid status. Results: The Mantel-Haenszel chi-squared test assessed whether BMI influenced the relationship between liver fibrosis and etiology (MASLD vs idiopathic steatosis). For those with BMI <25 kg/m², there was no significant association between fibrosis and etiology (aOR 0.74 [95% CI: 0.19–2.93], P = 0.763). Similarly, in those with BMI ≥25 kg/m², there was no significant association between fibrosis and etiology (aOR = 1.15[95% CI: 0.4–3.2], P = 0.814). For MASLD and CSLD patients, multivariable logistic regression analysis identified hyperlipidemia with hypertriglyceridemia as a significant factor for advanced fibrosis (OR = 1.291 [95% CI: 1.079–2.838], P = 0.0358). However, BMI was not a significant predictor of advanced fibrosis. While univariate analysis suggested African American race may be protective against advanced fibrosis (P = 0.045), this was not significant in the multivariable model. Conclusion: In non-obese individuals with hepatic steatosis, BMI is not an independent predictor of advanced fibrosis regardless of etiology. These findings support a shift away from BMI-centered evaluation and prioritizing metabolic risk factors—particularly dyslipidemia—in fatty liver disease management.

The American Journal of GastroenterologyVol. 120(10S2)
Good health and well-being
Openalex Percentile: Top 32%
Liver Disease Diagnosis and Treatment
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