 |
Portail HAL - Université de Lille |  |
Article dans une revue
Phone-based safety monitoring of the first year of baclofen treatment for alcohol use disorder: the baclophone cohort study protocol
Abstract : BACKGROUND: In France, baclofen is frequently used off-label for alcohol use disorder (AUD). Baclofen has been associated with diverse adverse events (AEs), but the causality of these AEs has never been properly assessed.
METHODS: BACLOPHONE is a prospective multicenter cohort study conducted in the Hauts-de-France and Normandie French regions. BACLOPHONE consists of the phone-based monitoring of 792 patients during their first year of baclofen treatment for AUD. Two initial phone interviews assess the medical history, current medications, and substance use as well as complete the alcohol use identification test (AUDIT) and severity of alcohol dependence questionnaire (SADQ). Daily alcohol use and baclofen doses are noted throughout the follow-up. For every reported AE, additional phone interviews determine the seriousness of the AE, the causality of baclofen using validated causality algorithms, and the final outcome. The main objective of the study is to determine the rate of patients who stop baclofen due to an AE during the first year of treatment.
CONCLUSIONS: BACLOPHONE will provide important safety data on baclofen as a complement to the forthcoming efficacy data of randomized clinical trials.
Keywords :
patient safety
Baclofen
drug-related side effects and adverse reactions
pharmacovigilance
adverse drug reaction reporting systems
causality
telephone
off-label use
alcoholism
Mesh:Alcoholism/drug therapy*
Mesh:Algorithms
Mesh:Prospective Studies
Mesh:Telephone*
Mesh:Off-Label Use
Mesh:Surveys and Questionnaires
Mesh:Alcohol Drinking/prevention & control
Mesh:Baclofen/administration & dosage
Mesh:Baclofen/adverse effects*
Mesh:Cohort Studies
Mesh:Drug Monitoring/methods
Mesh:Follow-Up Studies
Mesh:France
Mesh:GABA-B Receptor Agonists/administration & dosage
Mesh:GABA-B Receptor Agonists/adverse effects*
Mesh:Humans
https://hal.univ-lille.fr/hal-02534550
Contributeur : LillOA Université de Lille Connectez-vous pour contacter le contributeur
Soumis le : mardi 7 avril 2020 - 10:22:51
Dernière modification le : lundi 4 juillet 2022 - 10:25:43
Contributeur : LillOA Université de Lille Connectez-vous pour contacter le contributeur
Soumis le : mardi 7 avril 2020 - 10:22:51
Dernière modification le : lundi 4 juillet 2022 - 10:25:43