Identification of factors associated with hospitalization in an outpatient population with mental health conditions: a case-control study.

Introduction: Addressing relevant determinants for preserved person-centered rehabilitation in mental health is still a major challenge. Little research focuses on factors associated with psychiatric hospitalization in exclusive outpatient settings. Some variables have been identified, but evidence across studies is inconsistent. This study aimed to identify and confirm factors associated with hospitalization in a specific outpatient population. Methods: A retrospective monocentric case-control study with 617 adult outpatients (216 cases and 401 controls) from a French community-based care facility was conducted. Participants had an index outpatient consultation between June 2021 and February 2023. All cases, who were patients with a psychiatric hospitalization from the day after the index outpatient consultation and up to 1 year later, have been included. Controls have been randomly selected from the same facility and did not experience a psychiatric hospitalization in the 12 months following the index outpatient consultation. Data collection was performed from electronic medical records. Sociodemographic, psychiatric diagnosis, historical issues, lifestyle, and follow-up-related variables were collected retrospectively. Uni- and bivariate analyses were performed, followed by a multivariable logistic regression. Results: Visit to a psychiatric emergency within a year (adjusted odds ratio (aOR): 13.02, 95% confidence interval (CI): 7.32-23.97), drug treatment discontinuation within a year (aOR: 6.43, 95% CI: 3.52-12.03), history of mental healthcare without consent (aOR: 5.48, 95% CI: 3.10-10.06), medical follow-up discontinuation within a year (aOR: 3.17, 95% CI: 1.70-5.95), history of attempted suicide (aOR: 2.50, 95% CI: 1.48-4.30) and unskilled job (aOR: 0.26, 95% CI: 0.10-0.65) are the independent variables found associated with hospitalization for followed up outpatients. Conclusions: Public health policies and tools at the local and national levels should be adapted to target the identified individual determinants in order to prevent outpatients from being hospitalized.

Differential associations between insight and quality-of-life dimensions among individuals with schizophrenia.

PURPOSE/OBJECTIVE: In schizophrenia, insight, the recognition that one has a medical illness that requires treatment, has long been related to deteriorated quality of life. Yet, insight and quality of life are broad constructs that encompass several dimensions. Here, we investigated differential associations between insight and quality-of-life dimensions using a psychological network approach. RESEARCH METHOD/DESIGN: We extracted data from the French network of rehabilitation centers REHABase (January 2016 to December 2022, N = 1,056). Our psychological network analysis modeled insight and quality of life as a network of interacting dimensions: three insight dimensions (awareness of illness, reattribution of symptoms to the disease, and recognition of treatment need) and eight quality-of-life dimensions (autonomy, physical and psychosocial well-being, relationships with family, friends and romantic partners, resilience, and self-esteem). RESULTS: Insight was negatively associated with quality of life. Our psychological network analysis revealed a strong negative association between awareness of disease and self-esteem. Both dimensions were the strongest nodes in the overall network. Our network analysis also revealed a significant but positive connection between recognition of treatment needs and resilience. CONCLUSION/IMPLICATIONS: While insight and quality of life are overall negatively associated, we found both negative and positive connections between insight and quality-of-life dimensions. The negative relationship between insight and quality of life may reflect the deleterious effects of diagnostic labeling on a patient's self-esteem. Yet, acknowledgment of treatment needs may have positive effects on quality of life and may promote recovery, perhaps because it emphasizes the need for support rather than labels and abnormalities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Contribution of socio-demographic and clinical characteristics to predict initial referrals to psychosocial interventions in patients with serious mental illness.

AIMS: Psychosocial rehabilitation (PSR) is at the core of psychiatric recovery. There is a paucity of evidence regarding how the needs and characteristics of patients guide clinical decisions to refer to PSR interventions. Here, we used explainable machine learning methods to determine how socio-demographic and clinical characteristics contribute to initial referrals to PSR interventions in patients with serious mental illness. METHODS: Data were extracted from the French network of rehabilitation centres, REHABase, collected between years 2016 and 2022 and analysed between February and September 2022. Participants presented with serious mental illnesses, including schizophrenia spectrum disorders, bipolar disorders, autism spectrum disorders, depressive disorders, anxiety disorders and personality disorders. Information from 37 socio-demographic and clinical variables was extracted at baseline and used as potential predictors. Several machine learning models were tested to predict initial referrals to four PSR interventions: cognitive behavioural therapy (CBT), cognitive remediation (CR), psychoeducation (PE) and vocational training (VT). Explanatory power of predictors was determined using the artificial intelligence-based SHAP (SHapley Additive exPlanations) method from the best performing algorithm. RESULTS: Data from a total of 1146 patients were included (mean age, 33.2 years [range, 16-72 years]; 366 [39.2%] women). A random forest algorithm demonstrated the best predictive performance, with a moderate or average predictive accuracy [micro-averaged area under the receiver operating curve from 'external' cross-validation: 0.672]. SHAP dependence plots demonstrated insightful associations between socio-demographic and clinical predictors and referrals to PSR programmes. For instance, patients with psychotic disorders were more likely to be referred to PE and CR, while those with non-psychotic disorders were more likely to be referred to CBT and VT. Likewise, patients with social dysfunctions and lack of educational attainment were more likely to be referred to CR and VT, while those with better functioning and education were more likely to be referred to CBT and PE. CONCLUSIONS: A combination of socio-demographic and clinical features was not sufficient to accurately predict initial referrals to four PSR programmes among a French network of rehabilitation centres. Referrals to PSR interventions may also involve service- and clinician-level factors. Considering socio-demographic and clinical predictors revealed disparities in referrals with respect to diagnoses, current clinical and psychological issues, functioning and education.

Functioning, clinical severity, education and sex moderate the inverse relationship between insight and quality of life in patients with schizophrenia.

BACKGROUND: In schizophrenia, insight, the recognition that one has a medical illness that requires treatment, has long been related to deteriorated quality of life, a phenomenon that has been described as the "insight paradox". Here, we aimed to determine whether certain socio-demographic and clinical characteristics strengthen or weaken this negative relationship. METHODS: We used data from the French network of rehabilitation centers REHABase (N = 769). We explored mean differences in quality-of-life scores between patients with good insight vs. poor insight. We also explored modifying effects of socio-demographic and clinical characteristics (sex, education, age, functioning, clinical severity, duration of illness). RESULTS: Patients with good insight had a decreased quality-of-life total score. Similar effects were found for the following sub-dimensions of quality of life: autonomy, physical and psychological well-being, and self-esteem. The negative effect of insight on quality of life was attenuated for people who had >12 years of education and for people with a higher level of functioning. By contrast, the negative effect of insight on quality of life was accentuated in people with greater clinical severity. Functioning and clinical severity showed similar modifying effects for other quality-of-life dimensions: autonomy, physical and psychological well-being, and self-esteem. Finally, males demonstrated an increased negative association between insight and self-esteem. CONCLUSIONS: The relationship between insight and quality of life is moderated by socio-demographic and clinical circumstances. Future inquiries may utilize our findings by integrating socio-demographic and clinical factors in treatment programs designs to conjointly improve insight and quality of life.

Actionable Predictive Factors of Homelessness in a Psychiatric Population: Results from the REHABase Cohort Using a Machine Learning Approach.

BACKGROUND: There is a lack of knowledge regarding the actionable key predictive factors of homelessness in psychiatric populations. Therefore, we used a machine learning model to explore the REHABase database (for rehabilitation database-n = 3416), which is a cohort of users referred to French psychosocial rehabilitation centers in France. METHODS: First, we analyzed whether the different risk factors previously associated with homelessness in mental health were also significant risk factors in the REHABase. In the second step, we used unbiased classification and regression trees to determine the key predictors of homelessness. Post hoc analyses were performed to examine the importance of the predictors and to explore the impact of cognitive factors among the participants. RESULTS:  First, risk factors that were previously found to be associated with homelessness were also significant risk factors in the REHABase. Among all the variables studied with a machine learning approach, the most robust variable in terms of predictive value was the nature of the psychotropic medication (sex/sex relative mean predictor importance: 22.8, σ = 3.4). Post hoc analyses revealed that first-generation antipsychotics (15.61%; p < 0.05 FDR corrected), loxapine (16.57%; p < 0.05 FWER corrected) and hypnotics (17.56%; p < 0.05 FWER corrected) were significantly associated with homelessness. Antidepressant medication was associated with a protective effect against housing deprivation (9.21%; p < 0.05 FWER corrected). CONCLUSIONS: Psychotropic medication was found to be an important predictor of homelessness in our REHABase cohort, particularly loxapine and hypnotics. On the other hand, the putative protective effect of antidepressants confirms the need for systematic screening of depression and anxiety in the homeless population.

Mental well-being in young people with psychiatric disorders during the early phase of COVID-19 lockdown.

BACKGROUND: Mental health and well-being were seriously impacted by the COVID-19 lockdown especially among young people and people with psychiatric disorders. This study aimed to identify factors associated with well-being in young people with psychiatric disorders, during early phase of COVID-19 lockdown in France. METHODS: A national cross-sectional online study started on the 8th day of COVID-19 lockdown in France (during March 25-30, 2020). We included young people aged from 16 to 29 who responded to the questionnaire, living and being confined in France, with past or current psychiatric treatment. The questionnaire was accessible online and explored demographics and clinical factors, well-being, stress, situation during lockdown. Well-being was measured by the Warwick-Edinburg Mental Well-Being Scale (WEMWBS). Simple and multiple linear regression analyses were carried out. RESULTS: 439 individuals were included with 262 (59.7%) previously treated and 177 (40.3%) currently treated. WEMWBS total score were 42.48 (9.05). Feeling of useful was the most affected dimension. Well-being was positively correlated with: currently working on site, physical activity, abilities to cope with difficulties, family and social supports (p<0.05). It was negatively correlated with: elevated stress level, anxious ruminations, dissatisfaction with information, difficulties to sleep or reorganize daily life, feeling supported by medicines (p<0.05). No individual factor was correlated with well-being. The stepwise linear multivariate model had simple R2 coefficient of determination of 0.535. CONCLUSION: In the specific population of young people with psychiatric disorders, factors associated with well-being at early stage of lockdown were mainly psychosocial and related to brutal disorganisation of daily life.

Contrasting the Social Cognitive and Metacognitive Capacities Among Patients With Schizophrenia and Autism Spectrum Disorders Enrolled in Psychiatric Rehabilitation.

ABSTRACT: Unique deficits in synthetic metacognition have been found in schizophrenia when compared with other psychiatric conditions and community controls. Although persons with autism spectrum disorders (ASD) display similar deficits in social cognition relative to those with schizophrenia, to date no study has compared metacognitive function between these groups. We aimed to compare the metacognitive capacities of persons with schizophrenia and ASD and their associations with other outcomes (neurocognition, social cognition, depression, and quality of life). Fifty-six outpatients with schizophrenia or ASD (mean age, 32.50 [9.05]; 67.9% male) were recruited from two French Centers of Reference for Psychiatric Rehabilitation of the REHABase cohort. Evaluation included the Indiana Psychiatric Illness Interview, Metacognition Assessment Scale-Abbreviated, Movie for the Assessment of Social Cognition, and a large cognitive battery. Compared with those with schizophrenia, participants with ASD had higher self-reflectivity ( p = 0.025; odds ratio, 1.38 [1.05-1.86]) in univariable analyses. Metacognitive deficits may be found in ASD with a profile that varies from what is found in schizophrenia. It is possible that methods for enhancing metacognitive abilities during psychiatric rehabilitation may be refined to assist adults with ASD to better manage their own recovery.

The central role of self-esteem in the quality of life of patients with mental disorders.

In psychiatry, recent years have seen a change of focus from a clinician- to a patient-centered perspective that emphasizes quality of life as a treatment target. As a complex construct, quality of life is composed of multiple dimensions that interact with one-another (e.g. physical and psychological well-being, relationships, autonomy, self-esteem). Here, we used data from the REHABase cohort, which includes N = 2180 patients from 15 psychosocial rehabilitation centers in France, to explore networks of quality-of-life dimensions among six psychiatric disorders: schizophrenia, neurodevelopmental, bipolar, depressive, anxiety, and personality disorders. Stronger connections (edges) involved the Self-Esteem dimension, such as Self-Esteem-Physical Well-Being, Self-Esteem-Autonomy, Self-Esteem-Psychological Well-Being, and Self-Esteem-Resilience. Self-esteem was also consistently retrieved as the most central node (the dimension with the most connections within each network). Between-group tests did not reveal any differences regarding network structure, overall connectivity, edge-weights, and nodes' centrality. Despite presenting with different symptom profiles, various psychiatric disorders may demonstrate similar inter-relationships among quality-of-life dimensions. In particular, self-esteem may have a crucial inter-connecting role in patients' quality of life. Our findings could support treatment programmes that specifically target self-esteem to improve patients' quality of life in a cost-effective way.

Sex Differences in Recovery-Related Outcomes and Needs for Psychiatric Rehabilitation in People With Schizophrenia Spectrum Disorder.

BACKGROUND: Female sex/gender has been associated with better longitudinal outcomes in schizophrenia spectrum disorders (SSDs). Few studies have investigated the relationships between female gender and recovery-related outcomes. Women's specific psychiatric rehabilitation needs remain largely unknown. OBJECTIVE: The objectives of the present study are to investigate sex differences in (1) objective and subjective aspects of recovery and (2) psychiatric rehabilitation needs in a multicenter non-selected psychiatric rehabilitation SSD sample. METHODS: 1,055 outpatients with SSD (DSM-5) were recruited from the French National Centers of Reference for Psychiatric Rehabilitation (REHABase) cohort between January 2016 and November 2019. Evaluation included standardized scales for quality of life, satisfaction with life, and well-being and a broad cognitive battery. Socially valued roles at enrollment were recorded. Functional recovery was measured using the Global Assessment of Functioning scale (GAF) and personal recovery with the Stages of Recovery Instrument (STORI). RESULTS: Female sex was the best predictor of having more than 2 socially valued roles in the multivariate analysis (P < .001; OR [95% CI] = 5.42 [2.34-13.06]). No sex differences were found for functional recovery or personal recovery. Female gender was positively associated with self-stigma (P = .036) and suicidal history (P < .001) and negatively correlated with quality of life (P = .004) and satisfaction with interpersonal relationships (P = .029), an area in which women reported more unmet needs (P = .004). CONCLUSIONS: The present study found that women had poorer subjective recovery-related outcomes and more unmet needs than men. It would therefore be beneficial to develop recovery-oriented interventions addressing women's specific needs and implement these in psychiatric rehabilitation services.

Self-stigma in Serious Mental Illness: A Systematic Review of Frequency, Correlates, and Consequences.

Self-stigma is associated with poor clinical and functional outcomes in Serious Mental Illness (SMI). There has been no review of self-stigma frequency and correlates in different cultural and geographic areas and SMI. The objectives of the present study were: (1) to review the frequency, correlates, and consequences of self-stigma in individuals with SMI; (2) to compare self-stigma in different geographical areas and to review its potential association with cultural factors; (3) to evaluate the strengths and limitations of the current body of evidence to guide future research. A systematic electronic database search (PubMed, Web of Science, PsycINFO, Scopus, and Ovid SP Cumulative Index to Nursing and Allied Health Literature [CINAHL]) following PRISMA guidelines, was conducted on the frequency, correlates, and consequences of self-stigma in SMI. Out of 272 articles, 80 (29.4%) reported on the frequency of self-stigma (n = 25 458), 241 (88.6%) on cross-sectional correlates of self-stigma and 41 (15.0%) on the longitudinal correlates and consequences of self-stigma. On average, 31.3% of SMI patients reported high self-stigma. The highest frequency was in South-East Asia (39.7%) and the Middle East (39%). Sociodemographic and illness-related predictors yielded mixed results. Perceived and experienced stigma-including from mental health providers-predicted self-stigma, which supports the need to develop anti-stigma campaigns and recovery-oriented practices. Increased transition to psychosis and poor clinical and functional outcomes are both associated with self-stigma. Psychiatric rehabilitation and recovery-oriented early interventions could reduce self-stigma and should be better integrated into public policy.

Impact of anticholinergic load on functioning and cognitive performances of persons with psychosis referred to psychosocial rehabilitation centers.

BACKGROUND: Few studies have explored whether high-anticholinergic load may hamper rehabilitation in persons with schizophrenia. We aim to explore the associations between anticholinergic load of psychotropic treatment and functioning or cognitive performances of persons with psychosis engaged in psychosocial rehabilitation. METHODS: The study was performed using data collected at baseline assessment in the REHABase cohort including persons referred to a French network of psychosocial rehabilitation centers. The composite-rating scale developed by Salahudeen et al. was used to rate the anticholinergic load of psychotropic drugs prescribed at baseline assessment. The associations between total anticholinergic load score (categorized as 'low' <3 v. 'high' ⩾3) and functioning or cognitive characteristics were explored using multivariate analyses. RESULTS: Of the 1012 participants with schizophrenia spectrum disorders identified in the REHABase, half used at least two psychotropic drugs with anticholinergic activity and one out of three was prescribed at least one psychotropic drug with high-anticholinergic activity. High-anticholinergic load was significantly associated with lower stage of recovery [odds ratio (OR) = 1.70, 95% confidence interval (CI) 1.05-2.76, p = 0.03], poor mental well-being (OR = 1.55, 95% CI 1.02-2.33, p = 0.04) and poor self-rated medication adherence (OR = 2.14, 95% CI 1.29-3.53, p = 0.003). Regarding cognition, a high-anticholinergic score was associated with poorer delayed-episodic memory (OR = 1.69, 95% CI 1.01-2.85, p = 0.05) and at the trend level with faster completion time on the test exploring executive performance (OR = 0.67, 95% CI 0.43-1.04, p = 0.07). CONCLUSIONS: The psychosocial rehabilitation plan of persons with psychosis should integrate optimization of psychotropic treatment in order to lessen the functional and cognitive impact of high-anticholinergic load.

Characteristics associated with self-reported medication adherence in persons with psychosis referred to psychosocial rehabilitation centers.

The aim of the present study was to explore the characteristics of psychotropic treatment and of psychosocial functioning associated with self-reported medication adherence in persons with psychosis engaged in rehabilitation. The study was performed in the REHABase cohort including persons referred to a French network of psychosocial rehabilitation centers. Treatment adherence was assessed using the Medication Adherence Rating Scale (MARS). The associations between MARS score (categorized as "low" < 7 vs. "high" ≥ 7) and functioning or psychotropic treatment characteristics were explored using multivariate analyses in 326 participants with schizophrenia spectrum disorders. Regarding psychotropic treatment, high anticholinergic load was the only characteristic associated with poor medication adherence (adjusted OR, aOR 1.98, 95% CI 1.07-3.66). Regarding functioning measures, participants with poor medication adherence were more likely to present with lower stage of recovery (aOR 2.38, 95% CI 1.31-4.32), poor quality of life (aOR 2.17, 95% CI 1.27-3.71), mental well-being (aOR 1.68, 95% CI 1.03-2.72) and self-esteem (aOR 1.74, 95% CI 1.05-2.87), and higher internalized stigma (aOR 1.88, 95% CI 1.09-3.23). Self-reported poor medication adherence is a marker of poor functioning in persons with psychosis. The MARS is a quick and simple measure of adherence that may be helpful in clinical and rehabilitation settings to identify persons with specific rehabilitation needs.

Functioning and cognitive characteristics of clozapine users referred to psychosocial rehabilitation centers: A REHABase cohort study.

OBJECTIVES: To explore whether clozapine users have specific rehabilitation needs compared to users of other antipsychotics. METHODS: The study was performed using the REHABase collecting data on persons referred to a French network of psychosocial rehabilitation centers. It was restricted to persons with schizophrenia spectrum disorder using antipsychotics. Multivariate analyses were used to compare baseline functioning and cognitive characteristics in clozapine users vs. users of other antipsychotics. RESULTS: Of the 675 patients identified in the REHABase, one out of ten (n = 70) used clozapine. Compared to users of other antipsychotics, clozapine users had been more frequently hospitalized in psychiatry and presented less frequently with psychoactive substance use. Functional measures did not significantly differ between the two groups. Clozapine users had poorer short-term verbal memory performance than users of other antipsychotics and did not differ on executive performance. CONCLUSION: Clozapine users may reach a recovery level comparable to that obtained in persons without treatment-resistant schizophrenia. In order to reduce the negative impact of memory deficits on the recovery process of clozapine users, it is necessary to optimize their psychotropic treatment and to promote their access to cognitive remediation programs addressing their specific needs.

Corpus callosum metrics predict severity of visuospatial and neuromotor dysfunctions in ARID1B mutations with Coffin-Siris syndrome.

ARID1B mutations in Coffin-Siris syndrome are a cause of intellectual disability (0.5-1%), with various degrees of autism and agenesis of the corpus callosum (10%). Little is known regarding the cognitive and motor consequences of ARID1B mutations in humans and no link has been made between corpus callosum anomalies and visuospatial and neuromotor dysfunctions. We have investigated the visuospatial and neuromotor phenotype in eight patients with ARID1B mutations. A paramedian sagittal section of the brain MRI was selected, and corpus callosum was measured in anteroposterior length, genu and trunk width. Spearman's rank order coefficients were used to explore correlations between visuospatial and social cognitive variables and dimensions of the corpus callosum. A significant correlation between genu width size and visual cognition was observed. Retrocerebellar cysts were associated with corpus callosum anomalies. Here, we show that corpus callosum anomalies caused in ARID1B mutations may be predictive of the visuospatial and motor phenotype in Coffin-Siris syndrome.

Satisfaction and Needs in Serious Mental Illness and Autism Spectrum Disorder: The REHABase Psychosocial Rehabilitation Project.

OBJECTIVE: The REHABase project is a French observational, prospective, and multicenter cohort study of serious mental illness and autism spectrum disorder (ASD), launched in 2016 for a planned minimum duration of 15 years. The aim is to characterize the care and quality-of-life needs of participants. This article presents initial results from data collection. METHODS: Psychosocial, cognitive, and functional data were collected at baseline, annually, and after rehabilitation care. Data from the baseline evaluation on diagnoses, medications, well-being, insight, life satisfaction, and care needs are presented. The clinical profiles of REHABase participants with serious mental illness or ASD were assessed in relation to their level of satisfaction with life and well-being in nine life dimensions and their needs, according to their stage of recovery in a five-stage model. RESULTS: Baseline data were collected for 1,397 participants between January 2016 and August 2018. Main diagnoses were schizophrenia spectrum disorder (49%); ASD (13%); and personality (12%), bipolar (9%), and major depressive (6%) disorders. More than 50% of participants reported needs for care or interventions in four of nine dimensions: employment, cognitive functioning, symptom management, and interpersonal relationships. Nearly half of participants were not in the active stages of recovery (stages 4 and 5), and even those considered to have reached the final stage continued to require help in several areas. CONCLUSIONS: Most participants had already received psychiatric care for several years, and most remained dissatisfied with their social and emotional life and their psychological well-being.

Subthreshold social cognitive deficits may be a key to distinguish 22q11.2DS from schizophrenia.

AIM: Social cognitive impairments are core features in 22q11.2 deletion syndrome (22q11.2DS) and schizophrenia (SCZ). Indeed, adults with 22q.11.2 DS often have poorer social competence as well as poorer performance on measures of social cognitive skills (emotion recognition and theory of mind, ToM) compared with typically developing people. However, studies comparing specific social cognitive components in 22q11.2DS and SCZ have not yet been widely conducted. METHODS: In this study we compared performances of 22q11.2DS and SCZ on both facial emotion recognition and ToM. Patients with 22q11.2DS (n = 18) and matched SCZ patients were recruited. After neuropsychological testing, the facial emotion recognition test assessed the patients' ability to recognize six basic, universal emotions (joy, anger, sadness, fear, disgust, and contempt). The Versailles-situational intentional reading evaluated ToM with six scenes from movies showing characters in complex interactions (involving hints, lies, and indirect speech). RESULTS: We show that 22q11.2DS exhibited significantly lower performance in emotion recognition than SCZ patients did, especially for disgust, contempt, and fear. This impairment seems to be a core cognitive phenotype in 22q11.2DS, regardless of the presence of SCZ symptoms. Concerning ToM, our results may highlight the same impairment level in 22q11.2DS and SCZ but require to be replicated in a larger cohort. CONCLUSION: Our results document the existence of threshold social cognitive deficits distinguishing 22q11.2DS from SCZ.

From "under" to "over" social cognition in schizophrenia: Is there distinct profiles of impairments according to negative and positive symptoms?

Interactions between social cognition and symptoms of schizophrenia have been investigated, but mostly component by component. Here we tested the assumption that two categories of deficits exist depending on clinical profiles, one corresponding to a defect in social cognition - "under-social cognition" - and one corresponding to excessive attributions leading to social cognitive impairments - "over-social cognition". To conduct the investigation, we performed a Hierarchical Clustering Analysis using positive and negative symptoms in seventy patients with schizophrenia and we compared the clusters obtained to a group of healthy controls on social cognitive measures. We distinguished two social cognitive profiles based on prevailing symptoms for emotion processes and Theory of Mind. Actually, patients with negative symptoms showed lower performances in emotion recognition task than both those with positive symptoms and controls. Concerning Theory of Mind, patients with positive symptoms had a significant tendency to make over interpretative errors than both patients with negative symptoms and controls. For other processes assessed, further explorations are needed. Actually, concerning social perception and knowledge both patients' groups presented significant impairments compared to controls. Assessment of attribution bias showed that patients in the positive group presented a significant hostility bias and a higher intentionality score compared to healthy controls. These results favor the existence of different categories of impairments depending more on the clinical characteristics of patients than on nosographical categories, but further investigations are now necessary to specify these profiles. It nevertheless showed the importance of assessing symptoms in relationship with cognitive functioning.