We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Relationship between different PANSS cognitive factors and cognition assessed with MCCB in patients with first psychotic episode of schizophrenia.
- Authors
Rodriguez-Jimenez, R.; Sánchez-Cabezudo, Á.; Scala, M.; García-Fernández, L.; Sánchez-Pastor, L.; Rentero, D.; Martínez-Gras, I.; Caballero, M.; Espejo-Saavedra, J. M.; Nuñez-Doyle, A.; Jiménez-Rodríguez, O.; Aparicio-León, A. I.; Santos, J. L.
- Abstract
Introduction: The Positive and Negative Syndrome Scale (PANSS) has been used as a universal instrument for clinical assessment of psychopathology in schizophrenia. Different studies have analyzed the factorial structure of this scale and have suggested a five-factor model: positive, negative, excited, depressive, and cognitive/disorganized factors. Two of the most used models are the Marder´s solution and the Wallwork´s one. Objectives: The aim of this work was to study the correlations of the two cognitive factors (Marder and Wallwork) with a cognitive assessment performed with a standard cognitive battery, in a sample of patients with first psychotic episode of schizophrenia. Methods: Seventy four patients with first psychotic episode of schizophrenia (26.9, SD:7.8 years old; 70.3% male) were included. The cognitive assessment was performed with the MATRICS Consensus Cognitive Battery (MCCB). The MCCB present seven cognitive domains: Speed of processing, Working memory, Attention/Vigilance, Verbal Learning, Visual Learning, Reasoning and Problem Solving, and Social cognition). Pearson correlations were performed between MCCB scores and Marder´s PANSS cognitive factor (P2, N5, G5, G10, G11, G13, G15) and Wallwork´s one (P2, N5, G11). Results: Correlation between MCCB scores and cognitive factors of Marder and Wallwork can be seen in the table. Marder´s cognitive factor Wallwork´s cognitive factor Speed of processing r = -0.461; p<0.001 r = -0.455; p<0.001 Attention/Vigilance r = -0.414; p<0.001 r = -0.415; p<0.001 Working memory r = -0.449; p<0.001 r = -0.468; p<0.001 Verbal Learning r = -0.511; p<0.001 r = -0.405; p<0.001 Visual Learning r = -0.252; p=0.024 r = -0.254; p=0.029 Reasoning and Problem Solving r = -0.244; p=0.036 r = -0.272; p=0.019 Social cognition r = -0.268; p=0.024 r = -0.202; p=0.091 Conclusions: Both PANSS cognition factors show a moderate correlations with Speed of processing, Working memory, Attention/Vigilance and Verbal Learning assessed by MCCB. More discrete correlations were found with Visual Learning, Reasoning and Problem Solving, and with Social cognition (in fact, non-significant correlation with Wallwork´s cognitive factor was found). Acknowledgements. This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project PI19/00766 and co-funded by the European Union. Disclosure of Interest: None Declared
- Subjects
COGNITIVE processing speed; PATHOLOGICAL psychology; VISUAL learning; PROBLEM solving; VERBAL learning
- Publication
European Psychiatry, 2024, Vol 67, pS292
- ISSN
0924-9338
- Publication type
Abstract
- DOI
10.1192/j.eurpsy.2024.609