Exploring the landscape of steatotic liver disease in the general US population

Abstract

AbstractBackground and ObjectiveThe aim of the present study is to explore the epidemiologic impact of the definition of steatotic liver disease (SLD) proposed by a multi‐society (American Association for the Study of the Liver‐the European Association for the Study of Liver Diseases‐Asociación Latinoamericana para el Estudio del Hígado) Delphi consensus statement.MethodsThis is a cross‐sectional study of US adults participating in the 2017–2020 cycles of the National Health and Nutrition Examination Survey who were evaluated by vibration‐controlled transient elastography. Hepatic steatosis and fibrosis were diagnosed by the median value of controlled attenuation parameter and liver stiffness measurement using cut‐offs of 274 dB/m and 8.0 kPa, respectively. Recently proposed criteria for metabolic dysfunction‐associated steatotic liver disease (MASLD), MetALD (MASLD + significant alcohol consumption), MASLD‐Viral hepatitis and cryptogenic SLD were applied.ResultsSLD was present in 42.1% (95% CI: 40.3–43.9) of the 3173 included participants. Among patients with SLD, 99.4% met the metabolic dysfunction definition. Moreover, 89.4%, 7.7%, 2.4%, 0.4% and 0.1% were defined as MASLD, MetALD, MASLD‐Viral, alcoholic liver disease (ALD) (significant alcohol consumption without metabolic dysfunction) and cryptogenic, respectively. No patients without metabolic dysfunction had significant liver fibrosis, which was present in 15.2%, 9.5% and 19.5% of patients with MASLD, MetALD and MASLD‐viral, respectively. Approximately, 90% of the overall adult US population could be diagnosed with metabolic dysfunction according to the consensus criteria. A high degree of concordance was found between MASLD and the previously proposed metabolic dysfunction‐associated fatty liver disease definition.ConclusionsMetabolic dysfunction is present in almost all patients with SLD in the United States. The new change in diagnostic criteria did not significantly impact disease prevalence.