Related Experiment Video
Updated: Jun 30, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
Psychiatric events induced by roflumilast: a real-world pharmacovigilance study of the FDA Adverse Event Reporting
Lifang Wu1, Yan Chen2, Yaping Huang3
1Department of Pharmacy, Second Affiliated Hospital of Xiamen Medical College, Xiamen, China.
Background:
Roflumilast has approved treatment in patients with chronic obstructive pulmonary disease. The post-marketing data concerning roflumilast remain limited, and the outcomes of relevant studies are yet to yield conclusive evidence supporting the long-term psychiatric safety of roflumilast.
Methods:
This investigation comprehensively assessed psychiatric adverse events (AEs) attributed to roflumilast by employing data mining techniques, utilizing the FDA Adverse Event Reporting System (FAERS). The dataset encompasses the period from the first quarter of 2014 to the first quarter of 2025. A disproportionality analysis was conducted to quantify the correlation between roflumilast and psychiatric AEs. The metrics employed for the evaluation of disproportionality comprise the reporting odds ratio (ROR), the proportional reporting ratio, the information component, and the empirical Bayesian geometric mean.
Results:
A total of 414 reports were identified as related to psychiatric AEs of roflumilast, with the identification of 31 preferred terms. Five of psychiatric AEs exhibited significant positive signals, including insomnia (ROR 3.55), suicidal ideation (ROR 4.32), sleep disorder due to a general medical condition (ROR 13.47), nervousness (ROR 3.30), and eating disorder (ROR 5.16). A relatively increases risk of life-threatening and hospitalization in psychiatric AEs.
Conclusion:
Our findings would provide valued evidence for healthcare professionals to recognize psychiatric AEs associated with roflumilast and guide their clinical practice.
Related Concept Videos
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Psychosis: Goals of Pharmacotherapy
Psychosis and Antipsychotic Drugs: Overview
Antidepressant Drugs: MAOIs and Other Agents
Therapeutic Drug Monitoring: Affecting Factors
Drug Regulation