The Antiviral Efficacy and Safety of Azvudine in Hospitalized SARS‐CoV‐2 Infected Patients with Liver Diseases Based on a Multicenter, Retrospective Cohort Study

Despite azvudine being prioritized for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, its effectiveness and safety remain inadequately substantiated in hospitalized SARS-CoV-2 infected patients with liver diseases. A retrospective nine-center cohort study along with an independent validation cohort is conducted to examine the efficacy of azvudine (Clinical Trial Registration Number: NCT06349655). The primary outcome is all-cause mortality and the secondary outcome is composite disease progression. Efficacy is assessed via Kaplan-Meier analysis and Cox regression, with subgroup and sensitivity analyses for further validation. Among 32 864 hospitalized SARS-CoV-2 infected patients, 1022 eligible azvudine recipients, and 1022 controls are included through propensity score match. Kaplan-Meier analysis reveals that azvudine treatment is associated with a lower risk of all-cause mortality and composite disease progression (both p<0.0001). Cox regression analysis suggests azvudine recipients could have a 39% lower risk of all-cause mortality than controls (95% confidence interval [CI]: 0.468-0.795, p<0.001), but with no notable significance in composite disease progression (hazard ratio: 0.85, 95% CI: 0.686-1.061, p = 0.154). Subgroup analysis suggests that azvudine has a greater benefit for both all-cause mortality and composite disease progression in patients with kidney diseases or without autoimmune diseases. Three sensitivity analyses and validation cohorts confirm the robustness of the findings. Safety analysis observes few adverse events in azvudine recipients. Within 15 days after azvudine administration, no significant difference in liver function indexes and kidney function indexes is observed between the two groups except for a few time points. These findings demonstrate that azvudine shows potential clinical efficacy in improving all-cause mortality in hospitalized SARS-CoV-2 infected patients with liver diseases, with acceptable adverse effects.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-02-22
DOI
https://doi.org/10.1002/advs.202405679
Citations
1
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Antiviral Efficacy and Safety of Azvudine in Hospitalized SARS‐CoV‐2 Infected Patients with Liver Diseases Based on a Multicenter, Retrospective Cohort Study

Guotao Li, Xiaobo Hu, Zhigang Ren, Guangying Cui et al.
1 citations
Advanced Science
COVID-19 Clinical Research Studies
1.40
article

The Antiviral Efficacy and Safety of Azvudine in Hospitalized SARS‐CoV‐2 Infected Patients with Liver Diseases Based on a Multicenter, Retrospective Cohort Study

Guotao Li, Xiaobo Hu, Zhigang Ren, Guangying Cui, Guanyue Su, Guowu Qian, Ming Cheng, Hong Luo, Donghua Zhang, Yongjian Zhou, Xinjun Hu, Shixi Zhang, Ling Wang, Guangming Li, Zujiang Yu, Yiqiang Yuan, Silin Li, Junyi Sun, Mengzhao Yang
article en
1 citations

Abstract

Despite azvudine being prioritized for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, its effectiveness and safety remain inadequately substantiated in hospitalized SARS-CoV-2 infected patients with liver diseases. A retrospective nine-center cohort study along with an independent validation cohort is conducted to examine the efficacy of azvudine (Clinical Trial Registration Number: NCT06349655). The primary outcome is all-cause mortality and the secondary outcome is composite disease progression. Efficacy is assessed via Kaplan-Meier analysis and Cox regression, with subgroup and sensitivity analyses for further validation. Among 32 864 hospitalized SARS-CoV-2 infected patients, 1022 eligible azvudine recipients, and 1022 controls are included through propensity score match. Kaplan-Meier analysis reveals that azvudine treatment is associated with a lower risk of all-cause mortality and composite disease progression (both p<0.0001). Cox regression analysis suggests azvudine recipients could have a 39% lower risk of all-cause mortality than controls (95% confidence interval [CI]: 0.468-0.795, p<0.001), but with no notable significance in composite disease progression (hazard ratio: 0.85, 95% CI: 0.686-1.061, p = 0.154). Subgroup analysis suggests that azvudine has a greater benefit for both all-cause mortality and composite disease progression in patients with kidney diseases or without autoimmune diseases. Three sensitivity analyses and validation cohorts confirm the robustness of the findings. Safety analysis observes few adverse events in azvudine recipients. Within 15 days after azvudine administration, no significant difference in liver function indexes and kidney function indexes is observed between the two groups except for a few time points. These findings demonstrate that azvudine shows potential clinical efficacy in improving all-cause mortality in hospitalized SARS-CoV-2 infected patients with liver diseases, with acceptable adverse effects.

Advanced ScienceVol. 12(15)
Zhengzhou University (CN), People’s Hospital of Wenshan Prefecture (CN), The Fifth People's Hospital of Anyang (CN), Shangqiu First People's Hospital (CN), Nanyang Institute of Technology (CN), Luoyang Central Hospital Affiliated to Zhengzhou University (CN), First Affiliated Hospital of Henan University of Science and Technology (CN), Henan Provincial Chest Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN), Jingning County People's Hospital (CN)
Zhengzhou University, Henan University, First Affiliated Hospital of Zhengzhou University, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 24%
COVID-19 Clinical Research Studies
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.