非酒精性脂肪性肝病肝纤维化风险预测模型的应用与进展

Application and progress of liver fibrosis risk prediction model for nonalcoholic fatty liver disease

摘要: 非酒精性脂肪性肝病发病率逐年上升，脂肪肝肝纤维化的早期评估和早期干预对于改善非酒精性脂肪性肝病患者的预后至关重要。非侵入性的风险预测模型在临床实践中越来越受到重视。本文基于临床指标及不同算法，系统回顾了各类肝纤维化预测模型的优势及局限性，分析阐述了各模型的特点及在临床中的使用价值。

Abstract: The incidence of non-alcoholic fatty liver disease is increasing year by year. Early evaluation and early intervention of fatty liver fibrosis are very important for improving the prognosis of patients with non-alcoholic fatty liver disease. Non-invasive prediction models have been paid more and more attention in clinical practice. Based on different clinical indexes and algorithms, the article systematically reviewed the advantages and limitations ofvarious models for predicting liver fibrosis, and analyzed the characteristics of each model and its value.