ArticleFrontiers in pharmacology2024
Clinical adverse events to dexmedetomidine: a real-world drug safety study based on the FAERS database.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Safety and adverse events associated with dexmedetomidine for sedation in adult ICU patients: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Trial
- Risk Factors for Adverse Circulatory and Respiratory Events in Patients Undergoing Esophageal Endoscopic Submucosal Dissection Under Dexmedetomidine-Based Sedation.The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2026Article
- Adverse Events Associated with Tirzepatide: Updated Pharmacovigilance Analysis Using FAERS (2022 Q1-2025 Q1) with an Adapted Time-to-Onset Method.Drug, healthcare and patient safety · 2026Article
- Article
- A real-world analysis of Lomitapide-associated adverse events: Data from FAERS and CVAROD.Medicine · 2025Article
- Mining and analysis of drug-induced shock adverse reactions: A comprehensive pharmacovigilance study based on the US FAERS database.PloS one · 2025Article
- Post-marketing safety concerns with pirfenidone and nintedanib: an analysis of individual case safety reports from the FDA adverse event reporting system database and the Japanese adverse drug event report databases.Frontiers in pharmacology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Adverse events associated with dexmedetomidine were analyzed using data from the FDA's FAERS database, spanning from 2004 to the third quarter of 2023. This analysis serves as a foundation for monitoring dexmedetomidine's safety in clinical applications. Methods: Data on adverse events associated with dexmedetomidine were standardized and analyzed to identify clinical adverse events closely linked to its use. This analysis employed various signal quantification analysis algorithms, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). Results: In the FAERS database, dexmedetomidine was identified as the primary suspect in 1,910 adverse events. Our analysis encompassed 26 organ system levels, from which we selected 346 relevant Preferred Terms (PTs) for further examination. Notably, adverse drug reactions such as diabetes insipidus, abnormal transcranial electrical motor evoked potential monitoring, acute motor axonal neuropathy, and trigeminal cardiac reflex were identified. These reactions are not explicitly mentioned in the drug's specification, indicating the emergence of new signals for adverse drug reactions. Conclusion: Data mining in the FAERS database has elucidated the characteristics of dexmedetomidine-related adverse drug reactions. This analysis enhances our understanding of dexmedetomidine's drug safety, aids in the clinical management of pharmacovigilance studies, and offers valuable insights for refining drug-use protocols.
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