Real-World Safety Profile of Biologic Drugs for Severe Uncontrolled Asthma: A Descriptive Analysis from the Spanish Pharmacovigilance Database.
Carlos Boada-Fernández-Del-CampoMarcelino García-Sánchez-ColomerEduardo Fernández-QuintanaPaloma Poza-GuedesJaime Leonardo Rolingson-LandaetaInmaculada Sánchez-MachínRuperto González-PérezPublished in: Journal of clinical medicine (2024)
Background : The present investigation provides a thorough analysis of adverse drug reactions (ADRs) reported in the Database of the Spanish Pharmacovigilance System (FEDRA) for biologic medications primarily indicated for severe refractory asthma, including omalizumab, mepolizumab, reslizumab, benralizumab, dupilumab, and tezepelumab. Our main objective was to identify ADRs not documented in the drugs' Technical Sheets (summary of product characteristics, SmPC), potentially indicating unrecognized risks meriting pharmacovigilance attention. Methods : Data spanning from each drug's market introduction until 22 January 2024, were analyzed, sourced from direct submissions to the Spanish Pharmacovigilance System, industry communications, and literature reviews. We evaluated notifications impartially to ensure a comprehensive review of all the ADRs associated with these medications. Results : This investigation underlines the critical role of post-marketing surveillance in enhancing patient safety. It emphasizes the necessity for healthcare professionals to report ADRs comprehensively to foster a robust pharmacovigilance system. Furthermore, the study highlights gaps between the reported ADRs and the information provided in SmPCs, signaling potential areas for improvement in drug safety monitoring and regulatory oversight. Conclusions : Finally, these findings may contribute to informed decision making in clinical practice and regulatory policy, ultimately advancing patient care and safety in the management of severe uncontrolled asthma.
Keyphrases
- adverse drug
- drug induced
- patient safety
- electronic health record
- chronic obstructive pulmonary disease
- lung function
- rheumatoid arthritis
- early onset
- emergency department
- public health
- clinical practice
- allergic rhinitis
- systematic review
- quality improvement
- transcription factor
- healthcare
- human health
- working memory
- randomized controlled trial
- atopic dermatitis
- machine learning
- cystic fibrosis
- big data
- deep learning