Devi Treen Calvo1, Sara Giménez-Donoso2, Esther Setién-Suero3, Alba Toll Privat4, Benedicto Crespo-Facorro3, Rosa Ayesa Arriola5. 1. Neuropsychiatry and Addiction Institute, Parc de Salut Mar, Barcelona, Spain. Electronic address: dtreen@sjdhospitalbarcelona.org. 2. Department of Psychiatry, University Hospital of Canarias, Tenerife, Spain. 3. Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain; CIBERSAM, Center Of Biomedical Investigation in mental health, Madrid, Spain. 4. Neuropsychiatry and Addiction Institute, Parc de Salut Mar, Barcelona, Spain. 5. Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain; CIBERSAM, Center Of Biomedical Investigation in mental health, Madrid, Spain. Electronic address: rayesa@humv.es.
Abstract
INTRODUCTION: Recovery in psychotic disorders remains a major challenge across mental health. Identifying predictors of recovery in first psychotic episodes is a priority in order to increase knowledge on underlying mechanisms of the illness and to obtain objective severity markers at initial phases. In this study we gathered sociodemographic, clinical and cognitive data to explore predictive variables of recovery after three years follow-up in a sample of 399 patients with a first episode of psychosis (FEP). MATERIAL AND METHOD: This is a longitudinal study including patients with a FEP. A dichotomic variable of recovery was created according to symptomatic and functional outcome after 3years follow-up. Significant variables in univariate analysis were entered into a binary logistic regression to obtain a multivariate prediction model of recovery. RESULTS: The predictive model was statistically significant and classified an overall of 76% of patients correctly, specifically 86.7% of patients that would not recover and 55% of the patients that would recover. From all the variables that where significantly different between recovered and not recovered patients, only speed of processing, executive functions and premorbid adjustment were found to be significant predictors of recovery. DISCUSSION: This study provides evidence that the degree of basal impairment in cognitive functions related to the Prefrontal Cortex and a worst premorbid adaptation predict in a significant way which patients are less likely to recover three years after a FEP.
INTRODUCTION: Recovery in psychotic disorders remains a major challenge across mental health. Identifying predictors of recovery in first psychotic episodes is a priority in order to increase knowledge on underlying mechanisms of the illness and to obtain objective severity markers at initial phases. In this study we gathered sociodemographic, clinical and cognitive data to explore predictive variables of recovery after three years follow-up in a sample of 399 patients with a first episode of psychosis (FEP). MATERIAL AND METHOD: This is a longitudinal study including patients with a FEP. A dichotomic variable of recovery was created according to symptomatic and functional outcome after 3years follow-up. Significant variables in univariate analysis were entered into a binary logistic regression to obtain a multivariate prediction model of recovery. RESULTS: The predictive model was statistically significant and classified an overall of 76% of patients correctly, specifically 86.7% of patients that would not recover and 55% of the patients that would recover. From all the variables that where significantly different between recovered and not recovered patients, only speed of processing, executive functions and premorbid adjustment were found to be significant predictors of recovery. DISCUSSION: This study provides evidence that the degree of basal impairment in cognitive functions related to the Prefrontal Cortex and a worst premorbid adaptation predict in a significant way which patients are less likely to recover three years after a FEP.