Pharmacological antipsychotic drug interventions represent the cornerstone of the management of patients with schizophrenia and other psychotic spectrum disorders. The choice of the “best” treatment should be made on the basis of several clinical domains. However, despite available treatments, the quality of life reported by patients with schizophrenia taking antipsychotics is still very poor, and this outcome is rarely taken into account in trials assessing the efficacy and effectiveness of antipsychotic treatments. Therefore, we performed a systematic review in order to assess the impact of antipsychotic treatment on patients’ quality of life. In particular, we aimed to identify any differences in the improvement in quality of life according to the (a) type of formulation of antipsychotic drugs (i.e., oral vs. depot vs. long-acting injectable); (b) type of the drug (first vs. second vs. third generation); and (c) patients’ clinical characteristics. One hundred and eleven papers were included in the review. The main findings were as follows: (1) quality of life is usually considered a secondary outcome in trials on the efficacy and effectiveness of drugs; (2) second-generation antipsychotics have a more positive effect on quality of life; and (3) long-acting injectable antipsychotics are associated with a more stable improvement in quality of life and with a good safety and tolerability profile. Our systematic review confirms that quality of life represents a central element for selecting the appropriate treatment for people with schizophrenia. In particular, the availability of new treatments with a better tolerability profile, a proven effectiveness on patients’ cognitive and social functioning, and with a more stable blood concentration might represent the appropriate strategy for improving the quality of life of people with schizophrenia.

Metacognition refers to the cognitive ability to control, monitor and modulate cognitive processes thus guiding and orienting behavior: a continuum of mental activities that ranges from more discrete ones, such as the awareness of the accuracy of others’ judgment, to more integrated activities, such as the knowledge of cognitive processes. Metacognition impairment in schizophrenia, which is considered a core feature of the illness, has become a growing research field focusing on a wide range of processes including reasoning, autobiographical memory, memory biases, cognitive beliefs and clinical insight. There is a well-established relationship between metacognition and schizophrenia symptoms severity, as well as between impaired metacognitive functioning and specific symptomatic sub-domains, such as positive symptoms, negative symptoms, or disorganization. The development of specific cognitive-derived psychotherapies for metacognitive deficits in schizophrenia has been ongoing in the last years. Although sharing a metacognitive feature, these treatments focus on different aspects: false or unhelpful beliefs for metacognitive therapy; cognitive biases for metacognitive training; schematic dysfunctional beliefs for cognitive behavioral therapy (CBT) for psychoses; metacognitive knowledge and sense of identity for MERIT; interpersonal ideas or events triggering delusional thinking for MIT-P. This article reviews the instruments designed to assess metacognitive domains and functions in individuals with schizophrenia, providing mental health professionals with an overview of the heterogeneous current scenario ranging from self-administered scales to semi-structured interviews, which are supported by a variety of theoretical frameworks. Future directions may address the need for more specific and refined tools, also able to follow-up psychotherapeutic-induced improvements.

Treatment-resistant depression (TRD) represents a severe clinical condition with high social and economic costs. Esketamine Nasal Spray (ESK-NS) has recently been approved for TRD by EMA and FDA, but data about predictors of response are still lacking. Thus, a tool that can predict the individual patients' probability of response to ESK-NS is needed. This study investigates sociodemographic and clinical features predicting responses to ESK-NS in TRD patients using machine learning techniques. In a retrospective, multicentric, real-world study involving 149 TRD subjects, psychometric data (Montgomery-Asberg-Depression-Rating-Scale/MADRS, Brief-Psychiatric-Rating-Scale/BPRS, Hamilton-Anxiety-Rating-Scale/HAM-A, Hamilton-Depression-Rating-Scale/HAMD-17) were collected at baseline and at one month/T1 and three months/T2 post-treatment initiation. We trained three different random forest classifiers, able to predict responses to ESK-NS with accuracies of 68.53% at T1 and 66.26% at T2 and remission at T2 with 68.60% of accuracy. Features like severe anhedonia, anxious distress, mixed symptoms as well as bipolarity were found to positively predict response and remission. At the same time, benzodiazepine usage and depression severity were linked to delayed responses. Despite some limitations (i.e., retrospective study, lack of biomarkers, lack of a correct interrater-reliability across the different centers), these findings suggest the potential of machine learning in personalized intervention for TRD.

Background/Objectives: Eating disorders (EDs) are complex psychopathological conditions involving dysfunctional eating behaviors, excessive body image concerns, and impaired emotional regulation. Among moral emotions, guilt plays a significant role in ED dynamics, influencing both symptomatology and interpersonal relationships. This study examines specific guilt subtypes (normative and altruistic guilt) using a specific psychometric tool. Methods: Forty-three adults with anorexia nervosa (AN), bulimia nervosa (BN), or binge eating disorder (BED) were recruited from the Eating Disorder Center of the University of Campania “Luigi Vanvitelli” or referred by psychotherapists. Diagnoses followed DSM-5 criteria. Participants completed the Moral Orientation Guilt Scale (MOGS), assessing guilt subtypes, and the Eating Disorder Inventory-2 (EDI-2), measuring ED symptomatology. Spearman’s rank correlation and stepwise multiple regression analyses were used to identify relationships between guilt dimensions and ED-related symptoms. Results: MOGS subscales were positively correlated with ED symptomatology. Normative guilt was significantly associated with binging and purging (ρ = 0.26, p < 0.05), while altruistic guilt predicted higher interpersonal distrust (t = 3.4, p < 0.01). Regression analysis revealed that age negatively influenced interpersonal distrust (t = −2.9, p < 0.01). Conclusions: In the population examined, guilt significantly influences ED symptomatology and interpersonal functioning, with specific dimensions linked to distinct behaviors and traits. Therapeutic interventions targeting guilt may enhance treatment outcomes by addressing ED emotional underpinnings. However, the results should be interpreted with caution due to the small sample size and lack of longitudinal data to establish causality. Further research with larger samples and longitudinal designs is necessary to validate these findings.

Introduction: Treatment-resistant depression (TRD) is a severe psychiatric condition that may increase the risk of suicidal thoughts and self-harming behaviors. Intranasal esketamine has emerged as an effective treatment for TRD, also addressing depression-related emergencies such as suicidal ideation. Methods: This retrospective observational study analyzed 26 outpatients with TRD treated with adjunctive intranasal esketamine alongside ongoing oral antidepressants for 4 weeks. Suicidal ideation and behaviors were assessed using the Columbia-Suicide Severity Rating Scale (C-SSRS), and depressive symptoms were evaluated with the Montgomery-Åsberg Depression Rating Scale (MADRS) at baseline, week 2, and week 4. Statistical analyses included repeated-measures ANOVA and subgroup analyses by gender and baseline self-harm profile. Results: Esketamine significantly reduced suicidal ideation and depressive symptoms from baseline to week 2 and week 4 (all p<.001). Additionally, non-suicidal self-harm declined, exhibiting genderspecific patterns: women demonstrated a faster reduction in non-suicidal self-harm, whereas men showed slower improvement in suicidal self-harm. A strong correlation between depressive symptoms and suicidality confirmed their interplay. Discussion: In our real-world TRD sample, adjunctive intranasal esketamine led to a rapid and sustained reduction in suicidality and depressive symptoms, with distinct gender-related patterns in self-harm trajectories. These findings may inform individualized monitoring strategies. Limitations include the small sample size, retrospective design, and lack of a control group. Conclusion: Esketamine rapidly improved suicidality and depression in TRD, with preliminary evidence suggesting gender-specific responses, and highlighting the importance of tailored interventions to maximize outcomes. Further research is needed to confirm these differences, explore the long-term effects, and understand the underlying mechanisms.