The use of coercive measures in Medicine represents a controversial issue. Even when they comply with all rules and procedures and are enacted with the intention to address the health needs of the patient, and/or protect the patient and/or others, they always represent an infringement of fundamental personal rights and require strong ethical justification.

In Psychiatry the debate around coercive measures has led to a theoretical impasse, as the attempt to solve an ethical dilemma may expose mental health care to other ethical challenges and questions of competing rights. At the same time, the ongoing debate has contributed to raise the awareness that coercive practices are over-used, and mental health care is in need of a profound transformation towards recovery-oriented systems of care.

The implementation and dissemination of alternatives to coercive practices is an essential component of such transformation. Relevant research has provided tools and documented successful practices, and initiatives aimed at making these resources available and adapted to different contexts are being promoted by international organizations, professional associations and associations of users and carers.1

The profound transformation of current mental health care towards recovery-oriented systems of care requires resources and shared goals among the different stakeholders. Integrated and personalised care pathways, respect of human rights, shared decision making, and involvement of users and carers are essential components of this transformation.

No significant relationships.

Honoraria, advisory board, or consulting fees from Angelini, Astra Zeneca, Bristol-Myers Squibb, Gedeon Richter Bulgaria, Innova-Pharma, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer, and Pierre Fabre, for services not related to this abstract

An extensive literature regarding gender differences relevant to several aspects of schizophrenia is nowadays available. It includes some robust findings as well as some inconsistencies. The identification of gender differences and the understanding of their explanations may help to clarify the underlying etiopathogenetic mechanisms of specific aspects of the disorder.

The present study aimed at investigating gender differences on premorbid, clinical, cognitive and outcome indices, as well as their impact on recovery, in a large sample of patients with schizophrenia recruited within the multicenter study of the Italian Network for Research on Psychoses.

State-of-the-art instruments were used to assess the investigated domains. Group comparisons between male and female patients were performed on all considered indices. The associations of premorbid, clinical and cognitive indices with recovery in the two patient groups were investigated by means of multiple regressions.

Males with respect to females had a worse premorbid adjustment – limited to the academic dimension – an earlier age of onset, a higher frequency of history of substance and alcohol abuse, more severe negative symptoms (both avolition and expressive deficit), positive symptoms and impairment of social cognition. No gender difference was observed in neurocognition nor in the rates of recovery.

Although males showed some disadvantages in the clinical picture, this was not translated into a worse outcome. This finding may be related to the complex interplay of several factors acting as predictors or mediators of outcome.

No significant relationships.

Honoraria, advisory board, or consulting fees from Angelini, Astra Zeneca, Bristol-Myers Squibb, Gedeon Richter Bulgaria, Innova-Pharma, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer, and Pierre Fabre, for services not related to this abstract

Cognitive deficits are considered a key feature of schizophrenia due to their substantial influence on the psychosocial outcome of subjects affected by this disorder. Several studies showed that moderate to severe cognitive impairments, including dysfunctions of social cognition, are already present during the early phases of the illness, in subjects with first-episode psychosis (FEPs). Psychosocial interventions, such as social skill training (SST), could therefore be implemented already upon occurrence of the first episode of psychosis to improve the overall functional outcome of schizophrenia, which represents to date an unmet need in the care of these patients.

The study aims to evaluate the use of SST to enhance social skills and real-life functioning in FEPs.

The sample included 7 FEPs (age between 15 and 40). The SST intervention included 30 sessions lasting 2 hours and delivered twice a week. Psychopathology, neurocognition, real life functioning, functional capacity and social cognition were assessed at baseline ad after training. Paired samples t-tests were performed to evaluate the effects of the intervention. All subjects were treated with second generation antipsychotics.

Significant improvements were observed in negative symptoms, social cognition, problem solving skills, as well as in global functioning (all p<0.05). Within real-life functioning, the improvement was greater for the domain of interpersonal relationships.

These preliminary findings suggest that SST might complement pharmacological treatment in FEPs to improve functional outcome in these subjects. Further studies with a higher sample size and a longer follow-up are required in order to confirm the present results.

Negative symptoms (NS) represent a core aspect of schizophrenia with a huge impact on real life functioning. Dysfunctions within the dopaminergic cortico-striatal circuits have been documented in subjects with schizophrenia (SCZ) and hypothesized as possible neurobiological mechanisms underlying some domains of NS.

We investigated relationships between the resting-state functional connectivity (RS-FC) of the ventro-tegmental area (VTA) and NS.

Resting-state fMRI data were recorded in 35 SCZ, recruited within the Italian Network for Research on Psychoses. We performed partial correlations between RS-FC and NS (evaluated with the Brief Negative Symptom Scale) controlling for possible sources of secondary negative symptoms.

We found that the experiential domain correlated with the RS-FC of the VTA with the left ventro-lateral prefrontal cortex (lVLPFC) (r=0.372, p=0.039), while the Expressive deficit domain correlated with the RS-FC of the VTA with the left dorso-lateral prefrontal cortex (lDLPFC) (r= 0.470, p .008). Looking at subdomains, only the avolition (r= 0.418, p=0.019) and the blunted affect (r= 0.465, p=.008) showed the same correlations of the domains to which they belong.

According to our findings, separate dysfunctional neuronal circuits could underpin distinct negative symptom subdomains. A better understanding of neurobiological dysfunctions underlying NS could help to design new treatments, targeting different NS subdomains.

Despite innovative treatments, the impairment in real-life functioning in subjects with schizophrenia (SCZ) remains an unmet need in the care of these patients. Recently, real-life functioning in SCZ was associated with abnormalities in different electrophysiological indices. It is still not clear whether this relationship is mediated by other variables, and how the combination of different EEG abnormalities influences the complex outcome of schizophrenia.

The purpose of the study was to find EEG patterns which can predict the outcome of schizophrenia and identify recovered patients.

Illness-related and functioning-related variables were measured in 61 SCZ at baseline and after four-years follow-up. EEGs were recorded at the baseline in resting-state condition and during two auditory tasks. We performed Sparse Partial Least Square (SPLS) Regression, using EEG features, age and illness duration to predict clinical and functional features at baseline and follow up. Through a Linear Support Vector Machine (Linear SVM) we used electrophysiological and clinical scores derived from SPLS regression, in order to classify recovered patients at follow-up.

We found one significant latent variable (p<0.01) capturing correlations between independent and dependent variables at follow-up (RHO=0.56). Among individual predictors, age and illness-duration showed the highest scores; however, the score for the combination of the EEG features was higher than all other predictors. Within dependent variables, negative symptoms showed the strongest correlation with predictors. Scores resulting from SPLS Regression classified recovered patients with 90.1% of accuracy.

A combination of electrophysiological markers, age and illness-duration might predict clinical and functional outcome of schizophrenia after 4 years of follow-up.

No significant relationships.

Prof Mucci has been a consultant and/or advisor to or has received honoraria from Gedeon Richter Bulgaria, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer and Pierre Fabre.

Prof. Mucci has been a consultant and/or advisor to or has received honoraria from Gedeon Richter Bulgaria, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer and Pierre Fabre.

Precision medicine is “an emerging approach for treatment and prevention that takes into account each person’s variability in genes, environment, and lifestyle” [1]. The terminology is increasingly used in psychiatry, and especially in research relevant to the prediction of psychosis onset, response to treatment and functional outcome. While this is an important step-forward for the discipline, at this stage it is very important to promote the translation of research findings into clinical practice, as much as possible. Nowadays the availability of machine learning and artificial intelligence tools, together with advances in data storage and data security, enable the integration of neuroimaging, biological, clinical and cognitive data. By overcoming current limitations in multiple domain data analysis these tools may lead to the identification of reliable diagnostic, prognostic and therapeutic markers in routine clinical care, as well as to the prediction of clinically meaningful outcomes (e.g., psychosis onset, symptomatic and functional outcome, and treatment response). Precision medicine in psychiatry is a developing science, deserving further large-scale research, translational approaches and refinement that, hopefully, will soon be an integral part of every-day clinical practice. However, challenges in pursuing this strategy should not be underestimated, and efforts should be made to constantly advocate for more investments in human and financial resources in psychiatry, and to concentrate on the use of widely available and not too expensive and time-consuming methods.1 Toward Precision Medicine. Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington, DC: National Academies Press; 2011.

No significant relationships.

Central to recovery-oriented approaches in schizophrenia are treatment integration and personalization, targeting key variables beyond symptom reduction. The Italian network for research on psychoses conducted a study demonstrating, using network analysis, the central role of community activities in bridging the effects of symptoms, cognition, functional capacity and service engagement on real-word functioning. A 4-year follow-up study was recently completed and the presentation will illustrate the findings. Network analysis was used to test whether relationships among all variables at baseline were similar at follow-up. In addition, the network structure was compared between subjects classified as recovered or non-recovered at follow-up. Six hundred eighteen subjects were assessed at both baseline and 4-year follow-up. Results showed that the network structure was stable from baseline to follow-up, and the overall strength of the connections among variables did not significantly change. Functional capacity and everyday life skills were the most central variables in the network at both baseline and follow-up, while psychopathological variables were more peripheral. The network structure of non-recovered patients was similar to the one observed in the whole sample, but very different from that of recovered subjects, showing few connections among the different nodes. These data strongly suggest that connections among symptoms/dysfunctions tend to maintain over time, contributing to poor outcome in schizophrenia. Early treatment plans, targeting variables with high centrality, might prevent the emergence of self-reinforcing networks of symptoms and dysfunctions in people with schizophrenia.

Armida Mucci has been a consultant and/or advisor to or has received honoraria from Gedeon Richter Bulgaria, Janssen Pharmaceuticals, Lundbeck, Otsuka, Pfizer and Pierre Fabre. None of these has any impact on this abstract and on the presented study.

Social cognition and skill deficits have been largely documented in subjects with schizophrenia (SCZs), and have a strong influence on the functional outcome of these subjects. Different behavioural interventions have been developed to target and improve social skills in SCZs. For instance, the Social Skills Training (SST) focuses on improving communication skills and assertiveness to facilitate disease management, independent living and real-life functioning of SCZs. SST seems also to have an impact on negative symptoms and social cognition.

The study aims to evaluate the effectiveness of SST in improving social cognition and negative symptoms in SCZs.

The sample included 8 chronic SCZs (age between 18 and 60), who completed 6 months of SST. The intervention consisted of two weekly group sessions of 2 hours each. We assessed psychopathology, neurocognition, real-life functioning, functional capacity and social cognition at baseline and after training. Paired samples t-tests were performed to evaluate the differences of the variables considered after completing the treatment.

Significant improvements in negative symptoms (p<.05), social cognition (p<.05), functional capacity (p<.001), activities of daily living (p<.001) and interpersonal relationships (p<.011) were found.

The present findings suggest that SST might ameliorate social cognition and negative symptoms which are generally not influenced by antipsychotic treatment. The integration of pharmacological and SST interventions might have an impact on major determinants of poor real-life functioning in SCZs.

Different electrophysiological indices have been investigated to identify diagnostic and prognostic markers of schizophrenia (SCZ). However, these indices have limited use in clinical practice, since both specificity and association with illness outcome remain unclear. In recent years, machine learning techniques, through the combination of multidimensional data, have been used to better characterize SCZ and to predict illness course.

The aim of the present study is to identify multimodal electrophysiological biomarkers that could be used in clinical practice in order to improve precision in diagnosis and prognosis of SCZ.

Illness-related and functioning-related variables were measured at baseline in 113 subjects with SCZ and 57 healthy controls (HC), and after four-year follow-up in 61 SCZ. EEGs were recorded at baseline in resting-state condition and during two auditory tasks (MMN-P3a and N100-P3b). Through a Linear Support Vector Machine, using EEG data as predictors, four models were generated in order to classify SCZ and HC. Then, we combined unimodal classifiers’ scores through a stacking procedure. Pearson’s correlations between classifiers score with illness-related and functioning-related variables, at baseline and follow-up, were performed.

Each EEG model produced significant classification (p < 0.05). Global classifier discriminated SCZ from HC with accuracy of 75.4% (p < 0.01). A significant correlation (r=0.40, p=0.002) between the global classifier scores with negative symptoms at follow-up was found. Within negative symptoms, blunted affect showed the strongest correlation.

Abnormalities in electrophysiological indices might be considered trait markers of schizophrenia. Our results suggest that multimodal electrophysiological markers might have prognostic value for negative symptoms.

During the last decades, a renewed interest for negative symptoms (NS) was brought about by the increased awareness that they interfere severely with real-life functioning, particularly when they are primary and persistent.

In this guidance paper, we provide a systematic review of the evidence and elaborate several recommendations for the conceptualization and assessment of NS in clinical trials and practice.

Expert consensus and systematic reviews have provided guidance for the optimal assessment of primary and persistent negative symptoms; second-generation rating scales, which provide a better assessment of the experiential domains, are available; however, NS are still poorly assessed both in research and clinical settings.

This European Psychiatric Association (EPA) guidance recommends the use of persistent negative symptoms (PNS) construct in the context of clinical trials and highlights the need for further efforts to make the definition of PNS consistent across studies in order to exclude as much as possible secondary negative symptoms. We also encourage clinicians to use second-generation scales, at least to complement first-generation ones.

The EPA guidance further recommends the evidence-based exclusion of several items included in first-generation scales from any NS summary or factor score to improve NS measurement in research and clinical settings. Self-rated instruments are suggested to further complement observer-rated scales in NS assessment.

Several recommendations are provided for the identification of secondary negative symptoms in clinical settings.

The dissemination of this guidance paper may promote the development of national guidelines on negative symptom assessment and ultimately improve the care of people with schizophrenia.

Symptomatic remission is increasingly perceived as a realistic objective of pharmacological treatment in patients with schizophrenia (2). However the relationships between symptomatic remission, as defined by standardized criteria, and functional outcome remain controversial. In the present study, we designed a one-year follow-up of clinically stable patients with schizophrenia and examined the relationships of clinical remission with several indices of psychosocial functioning.

Thirty-six patients with schizophrenia were included. All the evaluations were carried out both at baseline (T0) and after a one-year follow-up (T12). The categorization in psychosocial remission/non-remission was done by means of the Psychosocial Remission in Schizophrenia (PSRS) scale.

Both at T0 and at T12, R showed, with respect to NR, a better social functioning and a better quality of life. Correlation analysis revealed that the better the psychosocial functioning, the lower the scores on all psychopathological dimensions, except “anxiety/depression” and “hostility” at T0 as well as “anxiety/depression” at T12. At T0, 65% of R resulted also in psychosocial remission; at T12, this percentage reached 90%.

Our findings suggest that symptomatic remission in schizophrenia is associated to functional outcome in the majority of cases, especially when both symptomatic and chronological criteria are met.