Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy

Ran Cheng,* Jinghang Xu,* Ning Tan, Hao Luo, Jiali Pan, Xiaoyuan Xu Department of Infectious Diseases, Peking University First Hospital, Beijing, People’s Republic of China*These authors contributed equally to this work.Correspondence: Xiaoyuan XuDepartment of Infectious Dise...

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Main Authors: Cheng R, Xu J, Tan N, Luo H, Pan J, Xu X
Format: Article
Language:English
Published: Dove Medical Press 2021-07-01
Series:Infection and Drug Resistance
Subjects:
Online Access:https://www.dovepress.com/predictive-nomograms-for-clinical-outcomes-in-hepatitis-b-related-cirr-peer-reviewed-fulltext-article-IDR
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spelling doaj-c9e81323b1e74498a245873eaa94fced2021-07-14T19:53:24ZengDove Medical PressInfection and Drug Resistance1178-69732021-07-01Volume 142707271966999Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral TherapyCheng RXu JTan NLuo HPan JXu XRan Cheng,* Jinghang Xu,* Ning Tan, Hao Luo, Jiali Pan, Xiaoyuan Xu Department of Infectious Diseases, Peking University First Hospital, Beijing, People’s Republic of China*These authors contributed equally to this work.Correspondence: Xiaoyuan XuDepartment of Infectious Diseases, Peking University First Hospital, 8 Xishiku Street, Beijing, 100034, People’s Republic of ChinaTel/Fax +86-10-83575787Email xiaoyuanxu6@163.comObjective: Many scores have been constructed to predict liver-related events in chronic hepatitis B, while most of them are based on baseline clinical parameters. The objective of this study was to develop nomograms based on on-treatment improvement in established scores to predict clinical outcomes in patients with hepatitis B virus (HBV)-related cirrhosis who are receiving antiviral therapy.Methods: The Cox proportional hazards regression model was used. Nomograms were constructed for the prediction of liver-related events, hepatocellular carcinoma (HCC), and liver-related mortality risk during long-term antiviral therapy.Results: A total of 277 treatment-naive patients with HBV-associated cirrhosis were enrolled from January 2010 to December 2013. After a median follow-up of 63.3 months, 95 patients developed liver-related events, including 59 patients with liver-related death. Multivariate Cox analysis showed that the albumin-bilirubin score at year 1 was an independent predictor of liver-related events, liver-related mortality, and HCC. Age, decompensation, and delayed virological remission were independent factors for liver-related mortality. Age was also a risk factor for liver-related events. The concordance index values of event-nomogram, mortality-nomogram, and HCC-nomogram were 0.742 (95% confidence interval [CI], 0.691∼ 0.793), 0.799 (95% CI, 0.748∼ 0.850), and 0.613 (95% CI, 0.540∼ 0.686), respectively. The calibration plots showed an agreement between the predicted and observed incidences, which indicates good calibration of the model of event-nomogram and mortality-nomogram.Conclusion: The nomograms achieved an optimal preoperative prediction of liver-related events, mortality, and HCC development in patients with HBV-related cirrhosis receiving antiviral therapy. These findings may help to identify high-risk patients for further optimal surveillance and intervention strategies.Keywords: antiviral therapy, liver-related events, hepatocellular carcinoma, liver-related mortality, albumin-bilirubinhttps://www.dovepress.com/predictive-nomograms-for-clinical-outcomes-in-hepatitis-b-related-cirr-peer-reviewed-fulltext-article-IDRantiviral therapyliver-related eventshepatocellular carcinomaliver-related mortalityalbumin-bilirubin
collection DOAJ
language English
format Article
sources DOAJ
author Cheng R
Xu J
Tan N
Luo H
Pan J
Xu X
spellingShingle Cheng R
Xu J
Tan N
Luo H
Pan J
Xu X
Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy
Infection and Drug Resistance
antiviral therapy
liver-related events
hepatocellular carcinoma
liver-related mortality
albumin-bilirubin
author_facet Cheng R
Xu J
Tan N
Luo H
Pan J
Xu X
author_sort Cheng R
title Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy
title_short Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy
title_full Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy
title_fullStr Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy
title_full_unstemmed Predictive Nomograms for Clinical Outcomes in Hepatitis B-Related Cirrhosis Patients Receiving Antiviral Therapy
title_sort predictive nomograms for clinical outcomes in hepatitis b-related cirrhosis patients receiving antiviral therapy
publisher Dove Medical Press
series Infection and Drug Resistance
issn 1178-6973
publishDate 2021-07-01
description Ran Cheng,* Jinghang Xu,* Ning Tan, Hao Luo, Jiali Pan, Xiaoyuan Xu Department of Infectious Diseases, Peking University First Hospital, Beijing, People’s Republic of China*These authors contributed equally to this work.Correspondence: Xiaoyuan XuDepartment of Infectious Diseases, Peking University First Hospital, 8 Xishiku Street, Beijing, 100034, People’s Republic of ChinaTel/Fax +86-10-83575787Email xiaoyuanxu6@163.comObjective: Many scores have been constructed to predict liver-related events in chronic hepatitis B, while most of them are based on baseline clinical parameters. The objective of this study was to develop nomograms based on on-treatment improvement in established scores to predict clinical outcomes in patients with hepatitis B virus (HBV)-related cirrhosis who are receiving antiviral therapy.Methods: The Cox proportional hazards regression model was used. Nomograms were constructed for the prediction of liver-related events, hepatocellular carcinoma (HCC), and liver-related mortality risk during long-term antiviral therapy.Results: A total of 277 treatment-naive patients with HBV-associated cirrhosis were enrolled from January 2010 to December 2013. After a median follow-up of 63.3 months, 95 patients developed liver-related events, including 59 patients with liver-related death. Multivariate Cox analysis showed that the albumin-bilirubin score at year 1 was an independent predictor of liver-related events, liver-related mortality, and HCC. Age, decompensation, and delayed virological remission were independent factors for liver-related mortality. Age was also a risk factor for liver-related events. The concordance index values of event-nomogram, mortality-nomogram, and HCC-nomogram were 0.742 (95% confidence interval [CI], 0.691∼ 0.793), 0.799 (95% CI, 0.748∼ 0.850), and 0.613 (95% CI, 0.540∼ 0.686), respectively. The calibration plots showed an agreement between the predicted and observed incidences, which indicates good calibration of the model of event-nomogram and mortality-nomogram.Conclusion: The nomograms achieved an optimal preoperative prediction of liver-related events, mortality, and HCC development in patients with HBV-related cirrhosis receiving antiviral therapy. These findings may help to identify high-risk patients for further optimal surveillance and intervention strategies.Keywords: antiviral therapy, liver-related events, hepatocellular carcinoma, liver-related mortality, albumin-bilirubin
topic antiviral therapy
liver-related events
hepatocellular carcinoma
liver-related mortality
albumin-bilirubin
url https://www.dovepress.com/predictive-nomograms-for-clinical-outcomes-in-hepatitis-b-related-cirr-peer-reviewed-fulltext-article-IDR
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