Evidence map›Paper›PMID 39429953›Full record

ArticleInternational journal of general medicine2024

The Levels of Serum HBV Pre-Genomic RNA and Its Associated Factors Among HBV-Infected Patients: A Retrospective Cohort Study in Hangzhou, Zhejiang, China.

Zhongbao Zuo, Jing Wu, Miaochan Wang, Rui Wu, Xiaojing Zhang, Lanlan Hu, Huaizhong Cui, Ting Feng, Aifang Xu, Shourong Liu

Abstract read
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Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zhongbao Zuo *Department of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Jing Wu *Department of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Miaochan WangDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Rui WuDepartment of Hepatology, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Xiaojing ZhangDepartment of Hepatology, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Lanlan HuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Huaizhong CuiDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Ting FengUltrasound Department, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Aifang XuDepartment of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.
Shourong LiuDepartment of Hepatology, Hangzhou Xixi Hospital, Zhejiang, 310023, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to explore serum HBV pre-genomic RNA (pgRNA) levels and its associated factors among HBV-infected patients in the real world. Methods: This retrospective cohort study was conducted from May 10, 2023, to January 15, 2024. Univariate logistic analysis for positive serum HBV pgRNA was performed first, and variables with statistical significance were included in a multivariate logistic model. A decreasing trend of serum HBV pgRNA and HBV DNA levels was also detected first by univariate logistic regression and then by multivariate logistic regression. Results: 482 patients were included in our analysis at baseline, and 191 patients were followed up. Multivariate logistic regression revealed that positive HBV DNA (AOR: 2.63, 95% CI: 1.46-4.75, P=0.001), ≥1000 hBsAg (AOR: 2.29, 95% CI: 1.08-4.89, P=0.03), positive HBeAg (AOR: 28.26, 95% CI: 15.2-52.55, P<0.001), and ALP (AOR: 1.01, 95% CI: 1.001-1.02, P=0.03) were positively correlated with positive HBV pgRNA at baseline. Two independent multivariate logistic regression models were constructed for the decreasing trend of serum HBV pgRNA and HBV DNA for the 191 follow-up patients. Results showed that the decreasing trend of HBV pgRNA was positively correlated with positive baseline HBV DNA (AOR: 4.60, 95% CI: 1.84-11.51, P=0.001), baseline HBsAg ≥1000 IU/mL (AOR: 8.74, 95% CI: 1.09-70.10, P=0.04), and HDL (AOR: 5.01, 95% CI: 1.28-19.66, P=0.02). The decreasing trend of HBV DNA was positively correlated with positive baseline HBV pgRNA (AOR: 3.80, 95% CI: 2.00-8.83, P<0.001) and AST (AOR: 1.06, 95% CI: 1.03-1.08, P<0.001). Conclusion: Our study revealed that HBV DNA, HBsAg, HBeAg, and ALP were significantly correlated with positive HBV pgRNA at baseline. The baseline HBV DNA, HBsAg, and HDL were significantly correlated with decreasing levels of HBV pgRNA. A decreasing trend of HBV DNA significantly correlated with patients' baseline HBV pgRNA and AST.

Indexed as

chronic hepatitis BHBsAgHBV DNAHBV pgRNA

Identifiers

PMID39429953
PMCPMC11490237

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.