A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B
Joint Authors
Li, Zhaoxia
Jie, Yusheng
Chong, Yutian
Zhou, Wenying
Hu, Bo
Chen, Yaqiong
Gong, Jiao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Background.
Preventing liver fibrosis from progressing to cirrhosis and even liver cancer is a key step in the treatment of chronic hepatitis B (CHB).
This study is aimed at constructing and validating a new nomogram for predicting significant liver fibrosis (S≥2) in CHB patients.
Methods.
The nomogram was based on a retrospective study of 252 CHB patients.
The predictive accuracy and discriminative ability of the nomogram were evaluated by the area under receiver operating characteristic curve (AUROC), decision curves, and calibration curve compared with the fibrosis 4 score (FIB-4) and aspartate aminotransferase-to-platelet ratio index (APRI).
The results were validated using bootstrap resampling and an external set of 168 CHB patients.
Results.
A total of 420 CHB patients were enrolled based on liver biopsy results.
Independent factors predicting significant liver fibrosis were laminin (LN), procollagen type III N-terminal peptide (PIIINP), and blood platelet count (PLT) in a multivariate analysis, and these factors were selected to construct the nomogram.
The calibration curve for the probability of significant liver fibrosis showed optimal agreement between the prediction from the nomogram and actual observation.
The prediction from the nomogram was more consistent with the results of liver biopsy than FIB-4 and APRI.
The AUROC of the nomogram was higher than that of FIB-4 and APRI for predicting significant liver fibrosis.
These results were confirmed in the validation set.
Furthermore, the decision curve analysis suggested that the most net benefits were provided by the nomogram.
Conclusions.
We found the proposed nomogram resulted in a more accurate prediction of significant liver fibrosis in CHB patients and could provide the most net benefits.
We recommend this noninvasive assessment for patients with liver fibrosis to avoid the risk of liver biopsy and earlier intervention to prevent the development of cirrhosis or liver cancer.
American Psychological Association (APA)
Chen, Yaqiong& Gong, Jiao& Zhou, Wenying& Jie, Yusheng& Li, Zhaoxia& Chong, Yutian…[et al.]. 2020. A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136244
Modern Language Association (MLA)
Chen, Yaqiong…[et al.]. A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1136244
American Medical Association (AMA)
Chen, Yaqiong& Gong, Jiao& Zhou, Wenying& Jie, Yusheng& Li, Zhaoxia& Chong, Yutian…[et al.]. A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136244