Aili Wang, Jialin Li, Li Li, Huiqing Ding, Naibin Yang, Miao Xu
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Objectives: this study aimed to explore the potential of the atherogenic index of plasma (AIP) as a predictor of metabolic dysfunction-associated fatty liver disease (MAFLD). Methods: a cross-sectional study, including data from 4473 participants in the National Health and Nutrition Examination Survey (NHANES) 2017-2018, was performed. A control attenuation parameter (CAP) ≥ 285 dB/m was used to confirm hepatic steatosis. Degrees of liver stiffness were confirmed according to liver stiffness measurement (LSM). Weighted multivariate logistic regression models were used to assess the association between AIP and the risk for MAFLD and liver fibrosis. Finally, receiver operating characteristic (ROC) curve analysis was used to test the accuracy of AIP in predicting MAFLD. Results: the association between AIP and the prevalence of MAFLD was positive in all three multivariate logistic regression models (model 1, odds ratio (OR), 18.2 (95 % confidence interval (CI), 14.4-23.1); model 2, OR, 17.0 (95 % CI, 13.3-21.8); model 3, OR, 5.2 (95 % CI, 3.9-7.0)). Moreover, this positive relationship was found to be significant in patients of different sexes and whether they had diabetes. However, no significant differences were observed between AIP and significant fibrosis or cirrhosis as assessed by different liver fibrosis indices. Finally, ROC curve analysis demonstrated that the AIP index also demonstrated positive diagnostic utility (area under the ROC curve, 0.733 (95 % CI, 0.718-0.747); p < 0.001). Conclusion: This study revealed a positive association between AIP and MAFLD among American adults. Furthermore, this association persisted in different sexes and whether they had diabetes.
Palabras Clave: National Health and Nutrition Examination Survey. Metabolic dysfunction-associated fatty liver disease. Atherogenic index of plasma. Vibration-controlled transient elastography. Diagnostics.
Maribel Calderón , Gianella Plaza , Marisol Gómez , Bárbara Samith , Victoria Pinto , Ximena Martínez , Daniela Sara , Guadalupe Echeverría , Mariana Calzada , Loni Berkowitz , Andrea von Schultzendorff , Nuria Pedrals , Marcela Bitran , Attilio G. Rigotti
Marina Demas Rezende Gischewski , Fernanda Lívia Cavalcante Araujo , Aryana Isabelle De Almeida Neves Siqueira , Alina Joana da Silva Wallraf , João Araújo Barros Neto , Nassib Bezerra Bueno Nassib , Juliana Célia de Farias Santos , Fabiana Andréa Moura
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