Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0036341 (schizophrenia)
 60,220 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The Positive and Negative Syndrome Scale (PANSS) is the most widely used instrument to assess the severity of symptoms of schizophrenia. Most studies have showed that PANSS measures five dimensions of symptomatology of schizophrenia. However, few studies have ever investigated the structure of PANSS in Chinese schizophrenia population. We recruited two large independent study samples including 903 and 942 Chinese schizophrenia patients and examined the underlying structure of PANSS. By building a confirmatory factor analysis (CFA) model based on the factor loadings of the exploratory factor analysis (EFA) and by testing the CFA model in an independent validation sample, we found that PANSS scores consisted of five factors, which were positive factor, negative factor, excitement factor, depression factor, and cognitive factor. The items loaded on these factors were similar to the consensus items published in previous studies except for PANSS items P2 conceptual disorganization, P5 grandiosity, N5 abstract thinking, and G11 poor attention. This difference might be due to the influence of culture on clinical presentation of schizophrenia. By elucidating the structure, symptoms of Chinese schizophrenia patients could possibly be deconstructed and investigated in future studies.
 ...
PMID:Validated five-factor model of positive and negative syndrome scale for schizophrenia in Chinese population. 2314 97

Different exploratory and confirmatory factorial analyses of the Positive and Negative Syndrome Scale (PANSS) have found a number of factors other than the original positive, negative, and general psychopathology. Based on a review of previous studies and using confirmatory factor analyses (CFA), Wallwork et al. (Schizophr Res 2012; 137: 246-250) have recently proposed a consensus five-factor structure of the PANSS. This solution includes a cognitive factor which could be a useful measure of cognition in schizophrenia. Our objectives were 1) to study the psychometric properties (factorial structure and reliability) of this consensus five-factor model of the PANSS, and 2) to study the relationship between executive performance assessed using the Wisconsin Card Sorting Test (WCST) and the proposed PANSS consensus cognitive factor (composed by items P2-N5-G11). This cross-sectional study included a final sample of 201 Spanish outpatients diagnosed with schizophrenia. For our first objective, CFA was performed and Cronbach's alphas of the five factors were calculated; for the second objective, sequential linear regression analyses were used. The results of the CFA showed acceptable fit indices (NNFI=0.94, CFI=0.95, RMSEA=0.08). Cronbach's alphas of the five factors were adequate. Regression analyses showed that this five-factor model of the PANSS explained more of the WCST variance than the classical three-factor model. Moreover, higher cognitive factor scores were associated with worse WCST performance. These results supporting its factorial structure and reliability provide robustness to this consensus PANSS five-factor model, and indicate some usefulness of the cognitive factor in the clinical assessment of schizophrenic patients.
 ...
PMID:Cognition and the five-factor model of the positive and negative syndrome scale in schizophrenia. 2320 6

In subjects with schizophrenia (SCZ), the disorganization dimension is a strong predictor of real-life functioning. "Conceptual disorganization" (P2), "Difficulty in abstract thinking" (N5) and "Poor attention" (G11) are core features of the disorganization factor, evaluated using the Positive and Negative Syndrome Scale. The heterogeneity of this dimension and its overlap with neurocognitive deficits are still debated. Within the multicenter study of the Italian Network for Research on Psychoses, we investigated electrophysiological and neurocognitive correlates of disorganization and its component items to assess the heterogeneity of this dimension and its possible overlap with neurocognitive deficits. Resting state EEG was recorded in 145 stabilized SCZ and 69 matched healthy controls (HC). Spectral amplitude was averaged in ten frequency bands. Neurocognitive domains were assessed by MATRICS Consensus Cognitive Battery (MCCB). RAndomization Graphical User software explored band spectral amplitude differences between groups and correlations with disorganization and MCCB scores in SCZ. Correlations between disorganization and MCCB scores were also investigated. Compared to HC, SCZ showed increased delta, theta, and beta 1 and decreased alpha 2 activity. A negative correlation between alpha 1 and disorganization was observed in SCZ. At the item level, only "N5" showed the same correlation. MCCB neurocognitive composite score was associated with disorganization, "P2" and "N5". Our findings suggest only a partial overlap between disorganization and neurocognitive impairment. The association of alpha 1 with the "N5" item suggests that some aspects of disorganization could be underpinned by the impairment of basic neurobiological functions that are only partially evaluated using MCCB.
 ...
PMID:Disorganization and cognitive impairment in schizophrenia: New insights from electrophysiological findings. 3089 78