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Relationship between different PANSS cognitive factors and cognition assessed with MCCB in patients with first psychotic episode of schizophrenia
Published online by Cambridge University Press: 27 August 2024
Abstract
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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
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- European Psychiatry , Volume 67 , Special Issue S1: Abstracts of the 32nd European Congress of Psychiatry , April 2024 , pp. S292 - S293
- Creative Commons
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.- Copyright
- © The Author(s), 2024. Published by Cambridge University Press on behalf of European Psychiatric Association
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