Cognitive performance at first episode of psychosis and the relationship with future treatment resistance: Evidence from an international prospective cohort study.
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Millgate Edward, Smart Sophie E, Pardiñas Antonio F, Kravariti Eugenia, Ajnakina Olesya, Kępińska Adrianna P, Andreassen Ole A, Barnes Thomas R E, Berardi Domenico, Crespo-Facorro Benedicto, D'Andrea Giuseppe, Demjaha Arsime, Di Forti Marta, Doody Gillian A, Kassoumeri Laura, Ferchiou Aziz, Guidi Lorenzo, Joyce Eileen M, Lastrina Ornella, Melle Ingrid, Pignon Baptiste, Richard Jean-Romain, Simonsen Carmen, Szöke Andrei, Tarricone Ilaria, Tortelli Andrea, Vázquez-Bourgon Javier, Murray Robin M, Walters James T R, MacCabe James H, STRATA Consortium
Аннотация
METHODS: Analysis of data from seven international cohorts of first-episode psychosis (FEP) with cognitive data at baseline (N = 683) and follow-up data on antipsychotic treatment response: 605 treatment responsive and 78 treatment resistant cases. Cognitive measures were grouped into seven cognitive domains based on the pre-existing literature. We ran multiple imputation for missing data and used logistic regression to test for associations between cognitive performance at FEP and treatment resistant status at follow-up.
RESULTS: On average patients who were future classified as treatment resistant reported poorer performance across most cognitive domains at baseline. Univariate logistic regressions showed that antipsychotic treatment resistance cases had significantly poorer IQ/general cognitive functioning at FEP (OR = 0.70, p = .003). These findings remained significant after adjusting for additional variables in multivariable analyses (OR = 0.76, p = .049).
CONCLUSIONS: Although replication in larger studies is required, it appears that deficits in IQ/general cognitive functioning at first episode are associated with future treatment resistance. Cognitive variables may be able to provide further insight into neurodevelopmental factors associated with treatment resistance or act as early predictors of treatment resistance, which could allow prompt identification of refractory illness and timely interventions.