A Noninvasive Score Model for Prediction of NASH in Patients with Chronic Hepatitis B and Nonalcoholic Fatty Liver Disease
Joint Authors
Gao, Ying-tang
Jing, Li
Han, Tao
Liang, Jing
Liu, Fang
Wang, Fengmei
Ma, Zhe
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Aims.
To develop a noninvasive score model to predict NASH in patients with combined CHB and NAFLD.
Objective and Methods.
65 CHB patients with NAFLD were divided into NASH group (34 patients) and non-NASH group (31 patients) according to the NAS score.
Biochemical indexes, liver stiffness, and Controlled Attenuation Parameter (CAP) were determined.
Data in the two groups were compared and subjected to multivariate analysis, to establish a score model for the prediction of NASH.
Results.
In the NASH group, ALT, TG, fasting blood glucose (FBG), M30 CK-18, CAP, and HBeAg positive ratio were significantly higher than in the non-NASH group (P<0.05).
Multivariate analysis showed that CK-18 M30, CAP, FBG, and HBVDNA level were independent predictors of NASH.
Therefore, a new model combining CK18 M30, CAP, FBG, and HBVDNA level was established using logistic regression.
The AUROC curve predicting NASH was 0.961 (95% CI: 0.920–1.00, cutoff value is 0.218), with a sensitivity of 100% and specificity of 80.6%.
Conclusion.
A noninvasive score model might be considered for the prediction of NASH in patients with CHB combined with NAFLD.
American Psychological Association (APA)
Liang, Jing& Liu, Fang& Wang, Fengmei& Han, Tao& Jing, Li& Ma, Zhe…[et al.]. 2017. A Noninvasive Score Model for Prediction of NASH in Patients with Chronic Hepatitis B and Nonalcoholic Fatty Liver Disease. BioMed Research International،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1139275
Modern Language Association (MLA)
Liang, Jing…[et al.]. A Noninvasive Score Model for Prediction of NASH in Patients with Chronic Hepatitis B and Nonalcoholic Fatty Liver Disease. BioMed Research International No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1139275
American Medical Association (AMA)
Liang, Jing& Liu, Fang& Wang, Fengmei& Han, Tao& Jing, Li& Ma, Zhe…[et al.]. A Noninvasive Score Model for Prediction of NASH in Patients with Chronic Hepatitis B and Nonalcoholic Fatty Liver Disease. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1139275
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139275