Nucleos(t)ide analogs improve long-term prognosis in patients with chronic hepatitis B-associated liver failure
Autor: | Li-Peng Yao, Wenhong Zhou, Airong Hu, Yaoren Hu, Suwen Jiang, Qinzhi Deng, Hao Ying, Ting Hu, Tao Xiong |
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Rok vydání: | 2016 |
Předmět: |
medicine.medical_specialty
Hepatology Proportional hazards model business.industry Hepatitis B Chronic liver disease medicine.disease Gastroenterology Virology 03 medical and health sciences Liver disease 0302 clinical medicine Infectious Diseases 030220 oncology & carcinogenesis Internal medicine Propensity score matching medicine 030211 gastroenterology & hepatology business Hepatic encephalopathy Survival rate Survival analysis |
Zdroj: | Hepatology Research. 47:347-358 |
ISSN: | 1386-6346 |
DOI: | 10.1111/hepr.12755 |
Popis: | AIM Chronic hepatitis B-associated liver failure (CHB-LF) is associated with high mortality. Antiviral therapy with nucleoside and nucleotide analogs (NUCs) has been reported to improve the short-term prognosis of patients with CHB-LF. However, the long-term effects of the therapy remain unclear. We undertook a cohort study to investigate the long-term effect of NUC-based antiviral therapy in patients with CHB-LF. METHODS A total of 976 patients with CHB-LF were enrolled between January 2001 and December 2009 at the Liver Disease Center of Ningbo No. 2 Hospital (Ningbo, China). The patients were divided into the NUC treatment group (n = 412) and control group (n = 564). The propensity score matching method was used to match the patients between the two groups to equilibrate the covariates. Survival analysis was carried out using the matched samples. The Cox proportional hazard model was used for the analysis of prognostic factors. RESULTS After propensity matching, 262 pairs were successfully matched. No statistically significant difference was observed in the baseline characteristics of the matching pairs (P > 0.05). The long-term survival rate and survival duration of the NUC treatment group were higher than that of the control group (P |
Databáze: | OpenAIRE |
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