医学
腰围
人体测量学
内科学
人口
代谢综合征
脂肪性肝炎
体质指数
脂肪肝
胃肠病学
肥胖
疾病
环境卫生
作者
Laurens A. van Kleef,Maurice Stephan Michel,Mesut Savas,Jesse Pustjens,Roel van de Laar,Edith M. Koehler,Elisabeth F. C. van Rossum,Harry L.A. Janssen,Jörn M. Schattenberg,Willem Pieter Brouwer
标识
DOI:10.14309/ajg.0000000000003657
摘要
Background: Adipose tissue is a key mediator of metabolic dysfunction-associated steatotic liver disease (MASLD) development and progression into metabolic dysfunction-associated steatohepatitis (MASH) and fibrosis. Since direct comparisons of body composition parameters are lacking, we here investigate 12 different body composition parameters. Methods: Adult participants from NHANES 2017-2023 with liver health data were included. Exclusion criteria were age >80 years, excessive alcohol (>60gr/day), viral hepatitis and missing anthropometrics. MASLD was defined as CAP ≥275 dB/m with metabolic dysfunction, MASH as FibroScan-AST (FAST) ≥0.35, and increased liver stiffness measurement (LSM) as ≥8 kPa. Predictive performance of 12 body composition parameters was assessed using AUC-analysis. Predicted probabilities of outcomes were visualized for standardized parameters, and non-linearity was assessed via restricted cubic splines. Results: Among 11,579 participants (age 51[35-63], 47% male); 41% had MASLD, 6.5% at-risk MASH and 9.9% increased LSM. Waist circumference (WC) and not BMI or waist-to-height-ratio obtained the highest AUC for MASLD (0.82), at-risk MASH (0.73) and increased LSM (0.75) outperforming or equalling all other indices across subgroups. Associations between WC and MASLD were non-linear, with slight risk saturation beyond 100 cm; at-risk MASH was linearly associated across the entire spectrum; increased LSM risk rose only after WC >100 cm. Conclusion: In the general population, MASLD and MASH risk increased even when WC < 100 cm, while increased LSM risk was increasing only >100 cm. Although relatively minor differences, WC consistently demonstrated the highest predictive value for MASLD, at-risk MASH, and increased LSM and therefore most suited for MASLD diagnosis, management and risk stratification.
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