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A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B
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 nom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368191/ https://www.ncbi.nlm.nih.gov/pubmed/32695818 http://dx.doi.org/10.1155/2020/6839137 |
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author | Chen, Yaqiong Gong, Jiao Zhou, Wenying Jie, Yusheng Li, Zhaoxia Chong, Yutian Hu, Bo |
author_facet | Chen, Yaqiong Gong, Jiao Zhou, Wenying Jie, Yusheng Li, Zhaoxia Chong, Yutian Hu, Bo |
author_sort | Chen, Yaqiong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7368191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-73681912020-07-20 A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B Chen, Yaqiong Gong, Jiao Zhou, Wenying Jie, Yusheng Li, Zhaoxia Chong, Yutian Hu, Bo Biomed Res Int Research Article 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. Hindawi 2020-07-08 /pmc/articles/PMC7368191/ /pubmed/32695818 http://dx.doi.org/10.1155/2020/6839137 Text en Copyright © 2020 Yaqiong Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Yaqiong Gong, Jiao Zhou, Wenying Jie, Yusheng Li, Zhaoxia Chong, Yutian Hu, Bo A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B |
title | A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B |
title_full | A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B |
title_fullStr | A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B |
title_full_unstemmed | A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B |
title_short | A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B |
title_sort | novel prediction model for significant liver fibrosis in patients with chronic hepatitis b |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368191/ https://www.ncbi.nlm.nih.gov/pubmed/32695818 http://dx.doi.org/10.1155/2020/6839137 |
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