Increased risk of colorectal adenomas with metabolic-associated fatty liver disease components

脂肪肝 医学 内科学 胃肠病学 结直肠癌 疾病 曲线下面积 内分泌学 癌症
作者
Dongsheng Ran,ChunLing Xin,Yingcai Ma,Yanyan Lu
出处
期刊:Clinics and Research in Hepatology and Gastroenterology [Elsevier]
卷期号:48 (3): 102302-102302
标识
DOI:10.1016/j.clinre.2024.102302
摘要

Metabolic (dysfunction)-associated fatty liver disease is the most common liver disease related to various metabolic disorders. Colorectal adenomas are related to metabolic dysregulation. Despite the proposed association between non-alcoholic fatty liver disease and colorectal adenomas, the influence of metabolic-associated fatty liver disease on colorectal adenomas has yet to be investigated. Our study investigates the relationship between metabolic-associated fatty liver disease and colorectal adenomas and evaluates the predictive value of fatty liver index for colorectal adenomas. A retrospective cross-sectional study was conducted on 650 inpatients at Qinghai Provincial People's Hospital. All participants underwent colonoscopy, abdominal ultrasound or CT, relevant laboratory tests, and physical examinations to ascertain baseline characteristics and overall health status. Multivariate logistic regression analysis examined the relationship between metabolic-associated fatty liver disease and colorectal adenomas. Lastly, the ability to identify, accuracy, and clinical applicability of predicting colorectal adenomas through fatty liver index were assessed using receiver operating characteristic curve area under the curve, calibration curve, and decision curve analysis. In both the colorectal adenomas and control groups, the prevalence of metabolic-associated fatty liver disease was 62.1 % and 35.7 %, respectively. Multivariate analysis indicates that metabolic-associated fatty liver disease was independently correlated with an increased risk of colorectal adenomas (OR, 1.565; 95 % CI, 1.057–2.319; P < 0.05). Further analysis revealed that the risk of colorectal adenomas increased with an increasing quantity of metabolic components in metabolic-associated fatty liver disease (Ptrend < 0.001). The area under the curve of the fatty liver index predictive model was 0.838, with a 95 % CI of 0.807–0.869. The calibration curve indicated excellent agreement, and the decision curve analysis revealed a higher net benefit. The risk of colorectal adenomas was associated with metabolic-associated fatty liver disease, and the risk of developing colorectal adenomas increased with the presence of more metabolic-associated fatty liver disease metabolic components. Furthermore, fatty liver index served as a predictive indicator for screening colorectal adenomas.
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