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Risk factors for underlying comorbidities and complications in patients with hepatitis B virus-related acute-on-chronic liver failure

Published online by Cambridge University Press:  05 July 2022

Wei-zhen Weng
Affiliation:
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Jun-feng Chen
Affiliation:
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Xiao-hua Peng
Affiliation:
Department of Gastroenterology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China
Miao Huang
Affiliation:
Department of Nursing, Guangzhou Red Cross Hospital, Fourth Affiliated Hospital of Jinan University, Guangzhou, China
Jing Zhang
Affiliation:
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Jing Xiong
Affiliation:
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Hui-juan Cao
Affiliation:
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Bing-liang Lin*
Affiliation:
Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China GuangDong Provincial Key Laboratory of Liver Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou 510030, China
*
Author for correspondence: Bing-liang Lin, E-mail: linbingl@mail.sysu.edu.cn
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Abstract

Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a severe and life-threatening complication, characterised by multi-organ failure and high short-term mortality. However, there is limited information on the impact of various comorbidities on HBV-ACLF in a large population. This study aimed to investigate the relationship between comorbidities, complications and mortality. In this retrospective observational study, we identified 2166 cases of HBV-ACLF hospitalised from January 2010 to March 2018. Demographic data from the patients, medical history, treatment, laboratory indices, comorbidities and complications were collected. The mortality rate in our study group was 47.37%. Type 2 diabetes mellitus was the most common comorbidity, followed by alcoholic liver disease. Spontaneous bacterial peritonitis, pneumonia and hepatic encephalopathy (HE) were common in these patients. Diabetes mellitus and hyperthyroidism are risk factors for death within 90 days, together with gastrointestinal bleeding and HE at admission, HE and hepatorenal syndrome during hospitalisation. Knowledge of risk factors can help identify HBV-ACLF patients with a poor prognosis for HBV-ACLF with comorbidities and complications.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. Flow diagram of the study subjects. A total of 3115 (from January 2010 to March 2018) liver failure patients were screened. Finally, 2166 patients qualified were follow-up for 90 days.

Figure 1

Table 1. Demographic and clinical characteristics of 2166 enrolled patients

Figure 2

Fig. 2. Prevalence of evaluated comorbidities in patients. ALD, alcoholic liver disease; NFLD, nonalcoholic fatty liver disease; AIH, autoimmune hepatitis; PBC, primary biliary cirrhosis; PSC, primary sclerosis cholangitis; T2DM, type 2 diabetes mellitus; CKD, chronic kidney disease.

Figure 3

Fig. 3. Incidence of evaluated complications in patients. SBP, spontaneous bacterial peritonitis, HE, hepatic encephalopathy, HRS, hepatorenal syndrome. *P < 0.001.

Figure 4

Table 2. Multivariable analysis of risk factors for 90-day mortality

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