M191. EFFECT OF BREXPIPRAZOLE ON ENGAGEMENT IN PATIENTS WITH SCHIZOPHRENIA: POST-HOC ANALYSIS OF THREE STUDIES
Notice bibliographique
Résumé
Abstract Background In schizophrenia, a patient’s quality of life and level of psychosocial functioning is dependent on two key domains: the severity of their psychotic symptoms, and the side effects of antipsychotic medication. In addition, people with schizophrenia experience motivation deficits, thus patient engagement is a key component of successful schizophrenia treatment outcomes. The present analyses investigated the effect of brexpiprazole (a serotonin–dopamine activity modulator that is a partial agonist at 5-HT1A and dopamine D2 receptors, and an antagonist at 5-HT2A and noradrenaline alpha1B/2C receptors, all at similar potency) on patient engagement. The concept of patient engagement stems from the collective post-marketing experience with brexpiprazole, and has been established in patients with MDD and an inadequate response to antidepressant treatments treated with adjunctive brexpiprazole. To explore the concept of engagement in schizophrenia, 11 out of the 30 items in the Positive and Negative Syndrome Scale (PANSS) were identified as relevant to capture patient improvement and well-being beyond an improvement of the core symptoms of schizophrenia. Methods The studies [Vector (NCT01396421), Beacon (NCT01393613) and Lighthouse (NCT01810380)] included patients aged 18–65 years experiencing an acute exacerbation of schizophrenia (DSM-IV-TR criteria), and who would benefit from hospitalization or continued hospitalization. Eligible patients were randomized to 6 weeks treatment with placebo or brexpiprazole ranging from doses of 0.25 to 4 mg/day depending on the study. The primary efficacy analysis in all three studies was the mean change in PANSS Total score from baseline (randomization) to Week 6. The PANSS was administered at weekly intervals. Items N1, N2, N3, N4, N5, N6, G6, G7, G13, G15, and G16 were selected from the PANSS as relevant items to capture patient engagement. In the present analysis, data were pooled for patients allocated to placebo and to a brexpiprazole dose in the range of 2–4 mg. Mean changes from baseline on the selected PANSS items were analyzed using a mixed model repeated measures approach. A Principal Component Analysis (PCA) was performed to validate whether changes in the selected items clustered together. Standardized effect sizes were also calculated. Results In the short-term studies, the PANSS scale was completed at baseline by a total of 1,378 patients, brexpiprazole 2–4 mg (n=863); placebo (n=515). At Week 6, an improvement (p<0.05) was observed on 10 out of the 11 selected items from the PANSS scale, with LS mean differences versus placebo in the range of -0.11 to -0.24. The PCA showed that the majority of the selected items cluster together, confirming the importance of the selected items for patient engagement/re-engagement with their lives. The standardized effect size for brexpiprazole versus placebo was -0.31 for the combined 11 selected items and of a similar magnitude as the effect size of the PANSS Total score (-0.32). Discussion 11 items from the PANSS scale were selected to capture patient re-engagement. The clustering, as shown by the PCA, validated the selection of the specific engagement items. The results of these exploratory post-hoc analyses suggest that treatment with brexpiprazole, in addition to improving symptoms of schizophrenia, has the potential to also improve patient well-being and engagement with life.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».