Analysis and mining of L-ornithine L-aspartate adverse events based on FAERS database
Abstract L-ornithine L-aspartate (LOLA) is indicated for reducing blood ammonia levels and alleviating symptoms of hepatobiliary disorders. Data mining of adverse events associated with LOLA was carried out in the FDA Adverse Event Reporting System database. The aim was to explore its potential medi...
Saved in:
| Main Authors: | Hui Zhang, Chaoqun Song, Dexi Zhao, Minghao Lin, Yujuan Fu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12420-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adverse event profiles of selpercatinib: a real-world pharmacovigilance analysis based on FAERS database
by: Jiancheng Qian, et al.
Published: (2024-12-01) -
Analysis and mining of Dupilumab adverse events based on FAERS database
by: Hui Gao, et al.
Published: (2025-03-01) -
Exploration of adverse event profiles for cefotaxime: a disproportionality analysis using the FDA adverse event reporting system
by: Cheng Jiang, et al.
Published: (2025-07-01) -
Signal mining and risk analysis of olanzapine adverse events in the FAERS database
by: Aiguo Dong, et al.
Published: (2025-07-01) -
Analysis and comparison of adverse events of colistin administered by different routes based on the FAERS database
by: Pengtao Xu, et al.
Published: (2025-03-01)