O5.4. PROBLEM GAMBLING ASSOCIATED WITH ARIPIPRAZOLE: A NESTED CASE-CONTROL STUDY IN A FIRST-EPISODE PSYCHOSIS COHORT USING A SYSTEMATIC PHARMACOVIGILANCE APPROACH
Notice bibliographique
Résumé
Aripiprazole is an antipsychotic drug widely prescribed for patients with schizophrenia and first-episode psychosis (FEP). Recently, Health Canada and the FDA have issued vigilance notices regarding the occurrence of problem gambling associated with aripiprazole. However, despite the case reports of problem gambling linked with aripiprazole in schizophrenia patients found in the literature, our critical review demonstrates that we can’t conclude on the imputability of aripiprazole at this point. Considering that the consequences of problem gambling can be significant, it is essential to evaluate this association more thoroughly, with the conduction of well-designed studies. The main objective of this study is to evaluate the association between aripiprazole exposure and problem gambling in patients treated for a FEP at our clinic. The secondary objectives are to identify risk factors for the emergence of problem gambling in FEP patients and to determine the factors that distinguish patients developing problem gambling with aripiprazole from those who do not develop it (e.g. pharmaceutical formulation, dosage, duration of exposure). This is a nested case-control study combined with a systematic imputability assessment using the Naranjo scale examining the association between aripiprazole use and problem gambling among FEP patients. Records of 219 patients treated at our FEP clinic between November 1st, 2015, and February 1st, 2018, were reviewed. Within this cohort, 14 cases of problem gambling were identified, and 56 control subjects were matched for gender and index date (1:4 ratio). Univariate and multivariate conditional logistic regressions were used to examine the association between the use of aripiprazole (duration, dosage and formulation) and the risk of problem gambling, while adjusting for potentially confounding factors such as age, relationship status and Cluster B personality traits. Use of aripiprazole was associated with more than a 10-fold increased risk of problem gambling (adjusted odds ratio [OR], 10.9; 95% confidence interval [CI], 1.5 - 357.9; p = 0.01) as compared with other antipsychotics. Among aripiprazole users, the risk of problem gambling was greater in patients who were older, in a relationship, employed, had Cluster B personality traits and a history of gambling. When comparing aripiprazole use in both case and control groups, there was no relationship observed between the route of administration, dosage or treatment duration with the risk of problem gambling. This study extends previous evidence documenting the association between aripiprazole and problem gambling. It is the first to examine this relationship in a FEP cohort, in which aripiprazole use is widely spread. Based on the present results, we firmly believe that the implementation of a systematic evaluation for gambling history in all FEP patients is required at entrance in FEP programs. Indeed, patients with a history of gambling seem particularly vulnerable to the development of a full-blown problem gambling when prescribed aripiprazole. Future studies conducted with larger samples of patients are warranted to further assess the risk-benefit profile of aripiprazole and to identify at-risk patients to better guide on-field clinicians.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,004 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».