Systematic analysis of safety profile for darunavir and its boosted agents using data mining in the FDA Adverse Event Reporting System database
Abstract This current investigation was aimed to generate signals for adverse events (AEs) of darunavir-containing agents by data mining using the US Food and Drug Administration Adverse Event Reporting System (FAERS). All AE reports for darunavir, darunavir/ritonavir, or darunavir/cobicistat betwee...
Saved in:
Main Authors: | Xiaojiang Tian, Yao Yao, Guanglin He, Yuntao Jia, Kejing Wang, Lin Chen |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/25da9d5c88e8419fa08be072fc23a4f2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hepatotoxicity-Related Adverse Effects of Proton Pump Inhibitors: A Cross-Sectional Study of Signal Mining and Analysis of the FDA Adverse Event Report System Database
by: Yifan Zeng, et al.
Published: (2021) -
Evaluation of antibiotic-induced taste and smell disorders using the FDA adverse event reporting system database
by: Yusuke Kan, et al.
Published: (2021) -
Proton Pump Inhibitors and the Risk for Fracture at Specific Sites: Data Mining of the FDA Adverse Event Reporting System
by: Liwei Wang, et al.
Published: (2017) -
Proton pump inhibitors associated acute kidney injury and chronic kidney disease: data mining of US FDA adverse event reporting system
by: Bin Wu, et al.
Published: (2021) -
A pharmacovigilance study of association between proton pump inhibitor and dementia event based on FDA adverse event reporting system data
by: Bin Wu, et al.
Published: (2021)