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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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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