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

BioMed Research International

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

Medicine

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