Evidence map›Paper›PMID 34290509›Full record

ArticleInfection and drug resistance2021

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

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Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ran Cheng *Department of Infectious Diseases, Peking University First Hospital, Beijing, People's Republic of China.
Jinghang Xu *Department of Infectious Diseases, Peking University First Hospital, Beijing, People's Republic of China.
Ning TanDepartment of Infectious Diseases, Peking University First Hospital, Beijing, People's Republic of China.
Hao LuoDepartment of Infectious Diseases, Peking University First Hospital, Beijing, People's Republic of China.
Jiali PanDepartment of Infectious Diseases, Peking University First Hospital, Beijing, People's Republic of China.
Xiaoyuan XuDepartment of Infectious Diseases, Peking University First Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMany 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.

methodsThe 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.

resultsA 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.

conclusionThe 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.

Indexed as

albumin-bilirubinantiviral therapyhepatocellular carcinomaliver-related eventsliver-related mortality

Identifiers

PMID34290509
PMCPMC8289317

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