Development and Validation of a Novel Model to Predict Liver Histopathology in Patients with Chronic Hepatitis B
Development and Validation of a Novel Model to Predict Liver Histopathology in Patients with Chronic Hepatitis B
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预测慢性乙型肝炎患者肝脏组织病理学的新模型的开发和验证
DOI：
10.1155/2019/1621627
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发表时间：
2019-02
期刊：
影响因子：
--
通讯作者：
Zhang Jiming
中科院分区：
文献类型：
--
作者：
Guo Hongying;Zhu Beidi;Li Su;Li Jing;Shen Zhiqing;Zheng Yijian;Zhao Weidong;Tan Da;Wu Jingwen;Zhang Xueyun;Jiang Qirong;Qi Xun;Mao Richeng;Yu Xueping;Su Zijun;Zhang Jiming
It is still vague for chronic hepatitis B (CHB) patients with normal or mildly increasing alanine aminotransferase (ALT) level to.undergo antiviral treatment or not. The purpose of our study was to establish a noninvasive model based on routine blood test.to predict liver histopathology for antiviral therapy. This retrospective study enrolled 258 CHB patients with liver biopsy from.the First Hospital of Quanzhou (training cohort, n=126) and Huashan Hospital (validation cohort, n=132). Histologic grading.of necroinflammation (G) and liver fibrosis (S) was performed according to the Scheuer scoring system. A novel model, ATPI,.including aspartate aminotransferase (AST), total bilirubin (TBil), and platelets (PLT), was developed in training cohort. The.area under ROC curves (AUC) of ATPI for predicting antiviral therapy indication was 0.83 in training cohort and was 0.88 in.the validation cohort, respectively. Similarly, ATPI also displayed the highest AUC in predicting antiviral therapy indication in.CHB patients with normal or mildly increasing ALT level. In conclusion, ATPI is a novel independent model to predict liver.histopathology for antiviral therapy in CHB patients with normal and mildly increased ALT levels.
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DOI：
10.1017/cbo9781139207249.009
发表时间：
2012
期刊：
--
影响因子：
--
作者：
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通讯作者：
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影响因子：
168.9
作者：
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影响因子：
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Dong, Minhui;Wu, Jingwen;Zhang, Jiming
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DOI：
10.1016/j.bpg.2011.02.003
发表时间：
2011-04-01
影响因子：
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