Real-world effectiveness of azvudine versus nirmatrelvir-ritonavir in hospitalized patients with COVID-19 and pre-existing diabetes

Azvudine and nirmatrelvir-ritonavir are prioritized treatments for SARS-CoV-2 infection in China, but their effectiveness and safety in hospitalized patients with COVID-19 and pre-existing diabetes remains unknown. In this retrospective cohort study, we collected 32,864 hospitalized COVID-19 patients from nine hospitals, among which 636 azvudine recipients and 318 nirmatrelvir-ritonavir recipients were enrolled for final analysis after exclusion and propensity score matching. Kaplan-Meier and multivariate Cox regression analysis results showed that azvudine had a lower risk of all-cause death compared with nirmatrelvir-ritonavir for the treatment of patients with COVID-19 and pre-existing diabetes (log rank: <i>p</i> = 0.044; HR: 0.63; 95% CI: 0.431-0.934). No significant difference was found in composite disease progression between the two groups. Five sensitivity analyses verified the robustness of the results. Overall, azvudine may be comparable to nirmatrelvir-ritonavir in terms of both all-cause death and composite disease progression among hospitalized patients with COVID-19 and pre-existing diabetes, with acceptable adverse events.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-01-27
DOI
https://doi.org/10.1016/j.isci.2025.111907
Citations
2
Primary Topic
Neonatal Health and Biochemistry
Type
article
Field-Weighted Citation Impact
6.99

Funders

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

Real-world effectiveness of azvudine versus nirmatrelvir-ritonavir in hospitalized patients with COVID-19 and pre-existing diabetes

Guotao Li, Zhigang Ren, Yanyang Zhang, Guanyue Su et al.
2 citations
iScience
Neonatal Health and Biochemistry
6.99
article

Real-world effectiveness of azvudine versus nirmatrelvir-ritonavir in hospitalized patients with COVID-19 and pre-existing diabetes

Guotao Li, Zhigang Ren, Yanyang Zhang, Guanyue Su, Ling Wang, Guowu Qian, Ming Cheng, Hong Luo, Donghua Zhang, Shixi Zhang, Guangming Li, Zujiang Yu, Yiqiang Yuan, Na Han, Yongjian Zhou, Silin Li, Jiyuan Xing, Zhan Song, Mengzhao Yang
article en
2 citations

Abstract

Azvudine and nirmatrelvir-ritonavir are prioritized treatments for SARS-CoV-2 infection in China, but their effectiveness and safety in hospitalized patients with COVID-19 and pre-existing diabetes remains unknown. In this retrospective cohort study, we collected 32,864 hospitalized COVID-19 patients from nine hospitals, among which 636 azvudine recipients and 318 nirmatrelvir-ritonavir recipients were enrolled for final analysis after exclusion and propensity score matching. Kaplan-Meier and multivariate Cox regression analysis results showed that azvudine had a lower risk of all-cause death compared with nirmatrelvir-ritonavir for the treatment of patients with COVID-19 and pre-existing diabetes (log rank: <i>p</i> = 0.044; HR: 0.63; 95% CI: 0.431-0.934). No significant difference was found in composite disease progression between the two groups. Five sensitivity analyses verified the robustness of the results. Overall, azvudine may be comparable to nirmatrelvir-ritonavir in terms of both all-cause death and composite disease progression among hospitalized patients with COVID-19 and pre-existing diabetes, with acceptable adverse events.

iScienceVol. 28(2)
Zhengzhou University (CN), People’s Hospital of Wenshan Prefecture (CN), The Fifth People's Hospital of Anyang (CN), Shangqiu First People's Hospital (CN), Second Affiliated Hospital of Zhengzhou University (CN), Nanyang Institute of Technology (CN), Luoyang Central Hospital Affiliated to Zhengzhou University (CN), The People's Hospital of LinXia (CN), Henan Provincial Chest Hospital (CN), The Sixth People's Hospital of Zhengzhou (CN), First Affiliated Hospital of Zhengzhou University (CN), Henan Provincial Center for Disease Control and Prevention (CN)
Zhengzhou University, First Affiliated Hospital of Zhengzhou University, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 5%
Neonatal Health and Biochemistry
6.99
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.