Overall and subgroup prevalence of non-alcoholic fatty liver disease and prevalence of advanced fibrosis in the United States: An updated national estimate in National Health and Nutrition Examination Survey (NHANES) 2011-2018
- PMID: 37742743
- DOI: 10.1016/j.aohep.2023.101154
Overall and subgroup prevalence of non-alcoholic fatty liver disease and prevalence of advanced fibrosis in the United States: An updated national estimate in National Health and Nutrition Examination Survey (NHANES) 2011-2018
Abstract
Introduction and objectives: Data on the prevalence of non-alcoholic fatty liver disease (NAFLD) in subgroups of the United States (US) population are limited. This study was conducted to estimate NAFLD prevalence overall and by subgroups, and prevalence of NAFLD with advanced fibrosis.
Materials and methods: Using the National Health and Nutrition Examination Survey (NHANES) 2011-2018 data, a cross-sectional study was conducted. NAFLD was defined as having a US Fatty Liver Index (USFLI) ≥ 30 in the absence of other causes of liver disease, including excessive alcohol intake, chronic hepatitis B, and chronic hepatitis C. Likelihood for having advanced fibrosis was determined by the calculated NAFLD fibrosis score (NFS; high ≥ 0.676; low < -1.445) and fibrosis-4 index (FIB-4; high ≥ 2.67; low < 1.30).
Results: The weighted national prevalence of NAFLD in US adults was 26.7% (95% confidence interval: 25.3%-28.1%). Prevalence was higher among those aged ≥ 65 years, males, Mexican Americans, with BMI ≥ 35 kg/m2 (class 2 and 3 obesity) and with type 2 diabetes (T2D). Of those meeting the USFLI criterion for NAFLD, 18.1% and 3.7% were determined as having a high probability of advanced fibrosis based on NFS ≥ 0.676 and FIB-4 ≥ 2.67 cut-off values, respectively.
Conclusions: This study supports an increased prevalence of NAFLD in specific subpopulations (aged ≥ 65 years, males, Mexican Americans, obese population, and patients with T2D). The observed difference in the prevalence of advanced fibrosis as estimated by NFS and FIB-4 highlights the challenge of choosing optimal cut-off values.
Keywords: FIB-4 index; MASLD; NAFLD; NFS.
Copyright © 2023 Merck Sharp & Dohme LLC., a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, The Author(s). Published by Elsevier España, S.L.U. All rights reserved.
Conflict of interest statement
Declaration of interests Annaswamy Raji, Gail Fernandes, Samuel S Engel, and Xiao Zhang are employees of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, and may own stock and/or hold stock options in Merck & Co., Inc., Rahway, NJ, USA. Yuzhi Xi was supported by a Graduate Student Fellowship from Merck & Co., Inc., Rahway, NJ, USA during the conduct of this work and is currently an employee of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA. Tongtong Wang was an employee of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, during the conduct of this work, and may own stock and/or hold stock options in Merck & Co., Inc., Rahway, NJ, USA. She is currently an employee of Johnson & Johnson and may own stock and/or hold stock options in the company. Michael Crutchlow was an employee of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, during the conduct of this work. He is currently an employee of Kallyope Inc., New York, New York.
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