PREDICTIVE VALUE OF BIOMARKERS IN STEATOHEPATITIS AND FIBROSIS

kriye Ta, rem Dilaver, S. N., Birg Tok
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Abstract

Aim : Non-alcoholic fatty liver disease (NAFLD) has recently become a significant public health problem around the world, with a reported prevalence of 25%. In this study, we aimed to investigate the utility of biochemical and hematological markers in the progression from hepatosteatosis to fibrosis and to examine their superiority to each other by comparing them with pathological scoring parameters. Materials and Methods: : Pathological results of patients who underwent liver biopsy for different indications were reviewed retrospectively.Of these, 120 patients with fatty liver were selected and their biopsy specimens were re-evaluated according to the NAFLD Activity Score (NAS). The relationship between pathological scores and serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), AST to platelet ratio index (APRI), red blood cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), RDW to platelet ratio (RPR), and gamma-glutamyl transpeptidase (GGT), RDW to platelet ratio (RPR), and gamma-glutamyl transpeptidase (GGT) was analyzed Results: The results indicated that ALT, APRI, and GGT were significant predictors of nonalcoholic steatohepatitis (NASH), while GGT, APRI, and RPR were significant predictors of fibrosis. Additionally, ROC analysis confirmed the significant predictive value of APRI, RPR, and GGT in the diagnosis of fibrosis. Conclusion:. Based on these results, we consider that GGT and APRI are better predictors than other biomarkers.
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生物标志物在脂肪性肝炎和纤维化中的预测价值
目的:非酒精性脂肪性肝病(NAFLD)最近已成为世界范围内一个重要的公共卫生问题,据报道患病率为25%。在这项研究中,我们旨在探讨生化和血液学标志物在肝骨化到纤维化过程中的作用,并通过将它们与病理评分参数进行比较来检验它们之间的优越性。材料与方法:回顾性分析不同适应症肝活检患者的病理结果。其中,选择120例脂肪肝患者,根据NAFLD活动评分(NAS)重新评估其活检标本。分析病理评分与血清丙氨酸转氨酶(ALT)、天冬氨酸转氨酶(AST)、AST与血小板比值指数(APRI)、红细胞分布宽度(RDW)、中性粒细胞与淋巴细胞比值(NLR)、RDW与血小板比值(RPR)、γ -谷氨酰转肽酶(GGT)、RDW与血小板比值(RPR)、γ -谷氨酰转肽酶(GGT)水平的关系。结果表明,ALT、APRI和GGT是非酒精性脂肪性肝炎(NASH)的显著预测因子,而GGT、APRI和RPR是纤维化的显著预测因子。此外,ROC分析证实了APRI、RPR和GGT对纤维化的诊断具有显著的预测价值。结论:。基于这些结果,我们认为GGT和APRI是比其他生物标志物更好的预测因子。
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