Personalized medicine begins with the phenotype: identifying antipsychotic response phenotypes in a first‐episode psychosis cohort. (5th December 2019)

• Record Type: Journal Article
• Authors: Mas, S.; Gassó, P.; Rodríguez, N.; Cabrera, B.; Mezquida, G.; Lobo, A.; González‐Pinto, A.; Parellada, M.; Corripio, I.; Vieta, E.; Castro‐Fornieles, J.; Bobes, J.; Usall, J.; Saiz‐Ruiz, J.; Contreras, F.; Parellada, E.; Bernardo, M.
• Other Names: Lafuente Amalia investigator.; Bioque Miquel investigator.; Diaz‐Caneja Covadonga M. investigator.; González‐Peñas Javier investigator.; Solis Anna Alonso investigator.; Rebella Mireia investigator.; González‐Ortega Itxaso investigator.; Besga Ariadna investigator.; SanJuan Julio investigator.; Nacher Juan investigator.; Morro Laura investigator.; Montserrat Clara investigator.; Jimenez Esther investigator.; Costa Susana Gomes Da investigator.; Baeza Immaculada investigator.; de la Serna Elena investigator.; Rivas S investigator.; Diaz C investigator.; Saiz Pilar A investigator.; Garcia‐Álvarez Leticia investigator.; Fraile Miguel Gutierrez investigator.; Rabadán Arantzazu Zabala investigator.; Torio Iosune investigator.; Rodríguez‐Jimenez Roberto investigator.; Butjosa Anna investigator.; Pardo Marta investigator.; Sarró Salvador investigator.; Pomarol‐Clotet Edith investigator.; Cuadrado Angela Ibañez investigator.; Cuesta Manuel J investigator.
• Is Part Of: Acta psychiatrica Scandinavica. Volume 141:Number 6(2020)
• Page Start: 541
• Page End: 552
• Publication Date: 2019-12-05
• Subjects: antipsychotic -- psychosis -- first‐episode -- predictive factors -- personalized medicine -- clustering; Psychiatry -- Periodicals; 616.89
• DOI: 10.1111/acps.13131
• Languages: English
• ISSNs: 0001-690X

Abstract

Abstract : Aims: Here, we present a clustering strategy to identify phenotypes of antipsychotic (AP) response by using longitudinal data from patients presenting first‐episode psychosis (FEP). Method: One hundred and ninety FEP with complete data were selected from the PEPs project. The efficacy was assessed using total PANSS, and adverse effects using total UKU, during one‐year follow‐up. We used the Klm3D method to cluster longitudinal data. Results: We identified four clusters: cluster A, drug not toxic and beneficial; cluster B, drug beneficial but toxic; cluster C, drug neither toxic nor beneficial; and cluster D, drug toxic and not beneficial. These groups significantly differ in baseline demographics, clinical, and neuropsychological characteristics (PAS, total PANSS, DUP, insight, pIQ, age of onset, cocaine use and family history of mental illness). Conclusions: The results presented here allow the identification of phenotypes of AP response that differ in well‐known simple and classic clinical variables opening the door to clinical prediction and application of personalized medicine.