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Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection
Hepatitis E virus (HEV) infection contributes to a considerable proportion of acute-on-chronic liver failure (ACLF) in patients with chronic hepatitis B virus (HBV) infection. This study aimed to predict the prognosis of chronic HBV infection patients precipitating acute HEV infection. A total of 19...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026406/ https://www.ncbi.nlm.nih.gov/pubmed/32066795 http://dx.doi.org/10.1038/s41598-020-59670-4 |
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author | Li, Qiang Chen, Chong Huang, Chenlu Xu, Wei Hu, Qiankun Chen, Liang |
author_facet | Li, Qiang Chen, Chong Huang, Chenlu Xu, Wei Hu, Qiankun Chen, Liang |
author_sort | Li, Qiang |
collection | PubMed |
description | Hepatitis E virus (HEV) infection contributes to a considerable proportion of acute-on-chronic liver failure (ACLF) in patients with chronic hepatitis B virus (HBV) infection. This study aimed to predict the prognosis of chronic HBV infection patients precipitating acute HEV infection. A total of 193 patients were enrolled in this study. The performances of three chronic liver disease prognostic models (CTP score, MELD score, and CLIF-C ADs) were analyzed for predicting the development of ACLF following HEV superimposing chronic HBV infection. Subsequently, the performances of five ACLF prognostic assessment models (CTP score, MELD score, CLIF-C ACLFs, CLIF-C OFs, and COSSH-ACLFs) were analyzed for predicting the outcome of those ACLF patients. Of 193 chronic HBV infection patients precipitating acute HEV infection, 13 patients were diagnosed ACLF on admission, 54 patients developed to ACLF after admission, and 126 patients had non-ACLF during the stay in hospital. For predicting the development of ACLF, CTP score yielded a significantly higher AUROC compared with MELD score and CLIF-C ADs (0.92, 0.88, and 0.86, respectively; all p < 0.05). For predicting the poor prognosis of ACLF patients, the COSSH-ACLFs yielded a significantly higher AUROC compared with CLIF-C ACLFs, CLIF-C OFs, MELD score, and CTP score (0.89, 0.83, 0.81, 0.67, and 0.58, respectively; all p < 0.05). In conclusion, the stepwise application of CTP score and COSSH-ACLFs can predict the prognosis of chronic HBV infection patients precipitating acute HEV infection. |
format | Online Article Text |
id | pubmed-7026406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70264062020-02-26 Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection Li, Qiang Chen, Chong Huang, Chenlu Xu, Wei Hu, Qiankun Chen, Liang Sci Rep Article Hepatitis E virus (HEV) infection contributes to a considerable proportion of acute-on-chronic liver failure (ACLF) in patients with chronic hepatitis B virus (HBV) infection. This study aimed to predict the prognosis of chronic HBV infection patients precipitating acute HEV infection. A total of 193 patients were enrolled in this study. The performances of three chronic liver disease prognostic models (CTP score, MELD score, and CLIF-C ADs) were analyzed for predicting the development of ACLF following HEV superimposing chronic HBV infection. Subsequently, the performances of five ACLF prognostic assessment models (CTP score, MELD score, CLIF-C ACLFs, CLIF-C OFs, and COSSH-ACLFs) were analyzed for predicting the outcome of those ACLF patients. Of 193 chronic HBV infection patients precipitating acute HEV infection, 13 patients were diagnosed ACLF on admission, 54 patients developed to ACLF after admission, and 126 patients had non-ACLF during the stay in hospital. For predicting the development of ACLF, CTP score yielded a significantly higher AUROC compared with MELD score and CLIF-C ADs (0.92, 0.88, and 0.86, respectively; all p < 0.05). For predicting the poor prognosis of ACLF patients, the COSSH-ACLFs yielded a significantly higher AUROC compared with CLIF-C ACLFs, CLIF-C OFs, MELD score, and CTP score (0.89, 0.83, 0.81, 0.67, and 0.58, respectively; all p < 0.05). In conclusion, the stepwise application of CTP score and COSSH-ACLFs can predict the prognosis of chronic HBV infection patients precipitating acute HEV infection. Nature Publishing Group UK 2020-02-17 /pmc/articles/PMC7026406/ /pubmed/32066795 http://dx.doi.org/10.1038/s41598-020-59670-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Qiang Chen, Chong Huang, Chenlu Xu, Wei Hu, Qiankun Chen, Liang Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection |
title | Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection |
title_full | Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection |
title_fullStr | Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection |
title_full_unstemmed | Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection |
title_short | Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection |
title_sort | noninvasive models for predicting poor prognosis of chronic hbv infection patients precipitating acute hev infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026406/ https://www.ncbi.nlm.nih.gov/pubmed/32066795 http://dx.doi.org/10.1038/s41598-020-59670-4 |
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