
pmid: 27988884
Off-label prescribing (OLP) may raise serious safety concerns that traditional spontaneous reporting of adverse drug reactions (ADRs) may not identify in a timely manner. In France, the 'Multidisciplinary Consultation Service for Off-Label Prescribing in Addiction Medicine' (CAMTEA) is a proactive regional system established to identify ADRs associated with the OLP of baclofen for alcohol dependence.The aim was to demonstrate, using the French pharmacovigilance database (FPVD), that CAMTEA allowed for the reporting of a substantial amount of ADRs, comparable in nature to those provided via spontaneous reporting.The 2012-2013 FPVD notifications associated with baclofen OLP were extracted. The ten most frequent types of ADRs among 'serious' and 'non-serious' reports were listed. The frequency of each type of ADR was compared between CAMTEA and spontaneous reporting, and the magnitudes of the differences were assessed using standardized differences.A total of 428 baclofen reports (1043 ADRs) were identified, among which 221 (51.64%) originated from CAMTEA. The ten most frequent ADRs in 'serious' reports were (1) confusion (17.3%), (2) seizures (11.5%), (3) drowsiness/sedation (11.5%), (4) agitation (10.9%), (5) coma (9.6%), (6) hallucinations (7.7%), (7) falls (7.1%), (8) behavioral disorders (5.8%), (9) withdrawal syndrome (5.1%), and (10) space-time disorientation (5.1%). A standardized difference of <0.2 was identified for six out of the ten most frequent 'serious' ADRs, and eight of the ten 'non-serious' ADRs.A proactive regional pharmacovigilance system could collect a substantial amount of safety data on a specific OLP practice. The profile of the ADRs collected was similar to that seen in the nationwide spontaneous reporting system.
Mesh:Female, Adult, Male, Baclofen, Adolescent, Databases, Factual, Mesh:Male, Mesh:Young Adult, Mesh:Adult, Mesh:Baclofen/adverse effects*, Mesh:Off-Label Use, Pharmacovigilance, Young Adult, Mesh:Adolescent, Mesh:Middle Aged, Mesh:80 and over, Adverse Drug Reaction Reporting Systems, Humans, Mesh:Baclofen/administration & dosage, Mesh:France, Mesh:Aged, Mesh:Factual, Aged, Mesh:GABA-B Receptor Agonists/administration & dosage, Aged, 80 and over, Mesh:Alcoholism/drug therapy*, Mesh:GABA-B Receptor Agonists/adverse effects, Mesh:Databases, [SCCO] Cognitive science, Off-Label Use, Middle Aged, [SDV] Life Sciences [q-bio], Mesh:Humans, Alcoholism, GABA-B Receptor Agonists, Mesh:Adverse Drug Reaction Reporting Systems/statistics & numerical data*, Female, France, Mesh:Pharmacovigilance*
Mesh:Female, Adult, Male, Baclofen, Adolescent, Databases, Factual, Mesh:Male, Mesh:Young Adult, Mesh:Adult, Mesh:Baclofen/adverse effects*, Mesh:Off-Label Use, Pharmacovigilance, Young Adult, Mesh:Adolescent, Mesh:Middle Aged, Mesh:80 and over, Adverse Drug Reaction Reporting Systems, Humans, Mesh:Baclofen/administration & dosage, Mesh:France, Mesh:Aged, Mesh:Factual, Aged, Mesh:GABA-B Receptor Agonists/administration & dosage, Aged, 80 and over, Mesh:Alcoholism/drug therapy*, Mesh:GABA-B Receptor Agonists/adverse effects, Mesh:Databases, [SCCO] Cognitive science, Off-Label Use, Middle Aged, [SDV] Life Sciences [q-bio], Mesh:Humans, Alcoholism, GABA-B Receptor Agonists, Mesh:Adverse Drug Reaction Reporting Systems/statistics & numerical data*, Female, France, Mesh:Pharmacovigilance*
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
