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Diagnosis of schizophrenia (SCZ) is made exclusively clinically, since specific biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) represents a promising approach that could support clinicians in the diagnosis of mental disorders. A systematic review, according to the PRISMA statement, was conducted to evaluate its accuracy to distinguish SCZ patients from healthy controls. We systematically searched PubMed, Embase, MEDLINE, PsychINFO and the Cochrane Library through December 2018 using generic terms for ML techniques and SCZ without language or time restriction. Thirty-five studies were included in this review: eight of them used structural neuroimaging, twenty-six used functional neuroimaging and one both, with a minimum accuracy >60% (most of them 75-90%). Sensitivity, Specificity and accuracy were extracted from each publication or obtained directly from authors. Support vector machine, the most frequent technique, if associated with other ML techniques achieved accuracy close to 100%. The prefrontal and temporal cortices appeared to be the most useful brain regions for the diagnosis of SCZ. ML analysis can efficiently detect significantly altered brain connectivity in patients with SCZ (eg, default mode network, visual network, sensorimotor network, frontoparietal network and salience network). The greater accuracy demonstrated by these predictive models and the new models resulting from the integration of multiple ML techniques will be increasingly decisive for early diagnosis and evaluation of the treatment response and to establish the prognosis of patients with SCZ. To achieve a real benefit for patients, the future challenge is to reach an accurate diagnosis not only through clinical evaluation but also with the aid of ML algorithms.

Purpose Food addiction (FA) refers to a condition characterized by addiction in relation to some high-fat and high-sugar carbohydrate that leads to clinically significant impairment or distress on several areas of functioning. The Yale Food Addiction Scale 2.0 (YFAS 2.0) has been recently updated to measure FA according to the DSM-5 criteria for substance-related and addictive disorders. This study aimed at validating the Italian version of YFAS 2.0. Methods A sample of 574 Italian university students was involved in this research. Confirmatory Factor Analysis (CFA) and Kuder–Richardson’s alpha for dichotomous data were run to evaluate scale structure and reliability. Correlations between YFAS 2.0 and eating psychopathology, binge eating, sleep, and mood symptoms were evaluated. Results Analogously to the original version, a single factor structure emerged at the CFA. The alpha coefficient was 0.87. Moreover, sound, from moderate to high, correlations were found with other measures. Conclusions The Italian version of the YFAS 2.0 has demonstrated in a sample of university students to be a useful tool to investigate food addictions. Level of evidence Level V, descriptive study.

IntroductionAntidepressant overprescribing and unnecessary long-term use are common and can increase the risk of adverse effects and withdrawal symptoms on discontinuation. Although gradual tapering strategies have been proposed, empirical evidence from randomised trials is lacking. This study will compare the efficacy of two antidepressant discontinuation strategies—linear and hyperbolic tapering—in adults with remitted depressive disorders.Methods and analysisThis pragmatic, multicentre, open-label, parallel-group superiority randomised controlled trial will recruit adults (≥18 years) with remitted depressive disorders who have been taking an antidepressant for at least 6 months. During an 8-month recruitment period, participants in outpatient psychiatric and primary care settings will be randomised (1:1) to (a) linear tapering (dose reduced by 50% of the minimum effective dose every 2 weeks until cessation) or (b) hyperbolic tapering (dose reduced by 20–25% every 2 weeks until cessation). The primary outcome is the proportion of participants who fail to discontinue the antidepressant by the end of the predefined tapering schedule or who re-initiate antidepressant therapy within 16 weeks of discontinuation. Secondary outcomes include safety, tolerability (including withdrawal symptoms), acceptability, clinical effectiveness, social functioning, quality of life and cost-effectiveness. Recruiters and participants will be aware of their treatment allocation; however, outcome assessors and the biostatistician will remain blinded throughout follow-up. Validated rating scales measuring depression, anxiety, withdrawal symptoms and social functioning will be administered at baseline and at scheduled follow-up visits up to 36 weeks. Based on observational data, we aim to recruit 150 participants (75 per arm).Ethics and disseminationThe study was approved by institutional Ethics Committees and regulatory authorities. Written informed consent will be obtained from all participants and data processed in accordance with General Data Protection Regulation. Study insurance and pharmacovigilance procedures are in place. Findings will be published in open-access journals, presented at scientific meetings and communicated to policy and regulatory stakeholders.Trial registrationNCT07393919.

The use of atypical antipsychotic drugs in the elderly has become wider and wider in recent years; in fact, these agents have novel receptor binding profiles, good efficacy with regard to negative symptoms, and reduced extrapyramidal symptoms. However, in recent years, the use of both conventional and atypical antipsychotics has been widely debated for concerns about their safety in elderly patients affected with dementia and the possible risks for stroke and sudden death. A MEDLINE search was made using the words elderly, atypical antipsychotics, use, schizophrenia, psychosis, mood disorders, dementia, behavioral disorders, and adverse events. Some personal studies were also considered. This paper reports the receptor binding profiles and the main mechanism of action of these drugs, together with their main use in psychiatry and the possible adverse events in elderly people.

Background and objectives: Bipolar disorder (BD) is one of the most burdensome psychiatric illnesses, being associated with a negative long-term outcome and the highest suicide rate. Although affective temperaments can impact on BD long-term outcome, their role remains poorly investigated. The aims of the present study are to describe the clinical characteristics of patients with BD more frequently associated with the different affective temperaments and to assess the relation between affective temperaments and severity of clinical picture in a sample of patients with BD. Materials and Methods: A total of 199 patients have been recruited in the outpatients units of two university sites. Patients’ psychiatric symptoms, affective temperaments, and quality of life were investigated through validated assessment instruments. Results: Predominant cyclothymic and irritable temperaments are associated to higher number of relapses, poorer quality of life, higher rates of aggressive behaviors, and suicide attempts. Conversely, the predominant hyperthymic disposition was a protective factor for several outcome measures, including relapse rate, severity of anxiety, depressive and manic symptoms, suicidality, and earlier age at onset. One limitation of the present study is that the recruitment took place in two university sites; therefore, our findings cannot be fully generalized to the whole community of BD patients. Other limitations are the lack of a control group and the cross-sectional design of the study. Conclusions: The early identification of affective temperaments can help clinicians to identify those BD patients who are more likely to show a poor long-term outcome. An early screening of affective temperaments can be useful to develop targeted integrated pharmacological and psychosocial interventions.

Background/Objectives: Sleep disturbances are highly prevalent in young individuals with eating disorders (EDs) and are associated with increased psychopathology and poorer clinical outcomes. However, sleep alterations in ED populations are heterogeneous and may reflect distinct underlying clinical profiles. The study aimed to identify sleep quality profiles and examine their clinical correlates in youth with EDs. Methods: A total of 288 youth outpatients with EDs completed the Pittsburgh Sleep Quality Index (PSQI), along with measures of eating and general psychopathology. Latent Profile Analysis (LPA) was conducted using PSQI scores to identify distinct sleep profiles. Multinomial logistic regression models were performed to assess clinical variables of profile membership. Results: A four-profile solution was identified: (1) less impaired sleepers, (2) medication-using sleepers, (3) global poor sleepers, and (4) sleep-initiation-difficulty sleepers. Profiles differed significantly in ED severity, affective symptoms, emotion regulation difficulties, and sleep-related eating behaviors. Profiles characterized by greater sleep impairment exhibited higher levels of binge eating, night eating, and psychological distress. Multinomial logistic regression analyses indicated that night eating was the largest contributor to latent profile membership across all comparisons, significantly increasing the likelihood of belonging to more impaired sleep profiles. Conclusions: Sleep in individuals with EDs is characterized by distinct and clinically meaningful profiles rather than a uniform pattern of impairment. These findings support the clinical utility of person-centered approaches to better characterize sleep disturbances in ED populations.

There is growing interest in new factors contributing to the genesis of eating disorders (EDs). Research recently focused on the study of microbiota. Dysbiosis, associated with a specific genetic susceptibility, may contribute to the development of anorexia nervosa (AN), bulimia nervosa, or binge eating disorder, and several putative mechanisms have already been identified. Diet seems to have an impact not only on modification of the gut microbiota, facilitating dysbiosis, but also on its recovery in patients with EDs. This systematic review based on the PICO strategy searching into PubMed, EMBASE, PsychINFO, and Cochrane Library examined the literature on the role of altered microbiota in the pathogenesis and treatment of EDs. Sixteen studies were included, mostly regarding AN. Alpha diversity and short-chain fatty acid (SCFA) levels were lower in patients with AN, and affective symptoms and ED psychopathology seem related to changes in gut microbiota. Microbiota-derived proteins stimulated the autoimmune system, altering neuroendocrine control of mood and satiety in EDs. Microbial richness increased in AN after weight regain on fecal microbiota transplantation. Microbiota homeostasis seems essential for a healthy communication network between gut and brain. Dysbiosis may promote intestinal inflammation, alter gut permeability, and trigger immune reactions in the hunger/satiety regulation center contributing to the pathophysiological development of EDs. A restored microbial balance may be a possible treatment target for EDs. A better and more in-depth characterization of gut microbiota and gut-brain crosstalk is required. Future studies may deepen the therapeutic and preventive role of microbiota in EDs.

Background and Objectives: Bipolar Disorder (BD) is a severe psychiatric disorder that worsens quality of life and functional impairment. Personality disorders (PDs), in particular Cluster B personality, have a high incidence among BD patients and is considered a poor prognostic factor. The study of this co-morbidity represents an important clinical and diagnostic challenge in psychiatry. Particularly, clinical overlap has been shown between antisocial personality disorder (ASPD) and BD that could worsen the course of both disorders. We aimed to detect the frequency of ASPD in bipolar patients with greater accuracy and the impact of ASPD on the clinical course of BD. Materials and Methods: A systematic literature search was conducted in PubMed, Embase, MEDLINE and the Cochrane Library through December 2020 without language or time restriction, according to PRISMA statement guidelines. Results: Initially, 3203 items were identified. After duplicates or irrelevant paper deletion, 17 studies met the inclusion criteria and were included in this review. ASPD was more frequent among BD patients, especially in BD type I. BD patients with ASPD as a comorbidity seemed to have early onset, higher number and more severe affective episodes, higher levels of aggressive and impulsive behaviors, suicidality and poor clinical outcome. ASPD symptoms in BD seem to be associated with a frequent comorbidity with addictive disorders (cocaine and alcohol) and criminal behaviors, probably due to a shared impulsivity core feature. Conclusions: Considering the shared symptoms such as impulsive and dangerous behaviors, in patients with only one disease, misdiagnosis is a common phenomenon due to the overlapping symptoms of ASPD and BD. It may be useful to recognize the co-occurrence of the disorders and better characterize the patient with ASPD and BD evaluating all dysfunctional aspects and their influence on core symptoms.

Background Bipolar disorder (BD) is one of the most burdensome mental disorder, with a lifetime prevalence of 2.4%, with a prevalence of 0.6% for bipolar type I and 0.4% for bipolar type II. Several interventions have been developed to implement the treatment strategy of bipolar disorder, including the Interpersonal and Social Rhythm Therapy (IPSRT). This intervention has been specifically developed to manage patients’ stressful life events, improve the disruptions of social and circadian rhythms and increase adherence to medications. The aim of the present study is to assess the efficacy of IPSRT on affective and anxiety psychopathology, social functioning, response to pharmacological treatment and affective morbidity index (AMI) in BD patients. Methods BD patients were consecutively recruited at the Mood Disorder Unit of the University of Campania “Luigi Vanvitelli” and randomly assigned to the experimental group receiving the IPSRT or to the Treatment as Usual (TAU) group. Patients were assessed at baseline, after 3 and 6 months with several validated assessment tools and with the affective morbidity index. Results At the end of the intervention, compared to controls, patients from the experimental group reported a significant improvement in anxious depressive and manic symptomatology, global functioning; and response to mood stabilizers. Patients in the IPSRT group reported a reduction at the AMI score. Conclusions IPSRT has been confirmed to be effective in improving the clinical symptomology of BD patients and in improving the affective morbidity index. Further studies with longer follow-up are needed in order to assess the stability of the results. Trial registration The study was approved by the local ethical review board (N001567/28.01.2018)

BackgroundSymptoms of depression are transdiagnostic heterogenous features frequently assessed in psychiatric disorders, that impact the response to first-line treatment and are associated with higher suicide risk. This study assessed whether severe mental pain could characterize a specific phenotype of severely depressed high-risk psychiatric patients. We also aimed to analyze differences in treatments administered.Methods2,297 adult patients (1,404 females and 893 males; mean age = 43.25 years, SD = 15.15) treated in several Italian psychiatric departments. Patients were assessed for psychiatric diagnoses, mental pain, symptoms of depression, hopelessness, and suicide risk.ResultsMore than 23% of the patients reported high depression symptomatology and high mental pain (HI DEP/HI PAIN). Compared to patients with lower symptoms of depression, HI DEP/HI PAIN is more frequent among females admitted to an inpatient department and is associated with higher hopelessness and suicide risk. In addition, HI DEP/HI PAIN (compared to both patients with lower symptoms of depression and patients with higher symptoms of depression but lower mental pain) were more frequently diagnosed in patients with personality disorders and had different treatments.ConclusionsPatients reporting severe symptoms of depression and high mental pain presented a mixture of particular dangerousness (high trait hopelessness and the presence of suicide ideation with more frequency and less controllability and previous suicide behaviors). The presence of severe mental pain may act synergically in expressing a clinical phenotype that is likewise treated with a more complex therapeutic regime than that administered to those experiencing symptoms of depression without mental pain.