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Abstract Background Major depressive disorder (MDD) patients not responding to two or more different antidepressant treatments are currently considered to suffer from treatment resistant depression (TRD). Recently, intranasal esketamine has been approved by both the American Food and Drug Administration and European Medicines Agency for TRD and, more recently, in moderate to severe episode of MDD, as acute short-term treatment for the rapid reduction of depressive symptoms, which, according to clinical judgement, constitute a psychiatric emergency. There is currently no indication for obsessive–compulsive disorder (OCD) although recently published studies have already shown a rapid and significant reduction of OCD-like symptoms following ketamine administration. The etiology of OCD has not yet been fully elucidated but there is a growing evidence that glutamate signaling dysfunction in the cortico-striatal–thalamo-cortical circuitry plays an essential role. This case report exemplifies possible clinical effects of esketamine on both depressive and OCD symptoms. Case presentation We present the case of a 39-year-old man suffering from TRD. During the first evaluation at our clinic, he also reported the presence of OCD spectrum symptoms, causing him to perform time-consuming mental rituals due to pathological doubts regarding the relationship with his wife as well as intrusive thoughts regarding his mental conditions. He underwent psychometric evaluations, therapeutic drug monitoring analysis, and pharmacogenomic tests. The overall results helped to explain patient’s treatment-resistance. Moreover, we observed a significant reduction in both depressive and OCD symptoms after administration of esketamine. Conclusion This case underlines the importance of pharmacogenomic tests in profiling TRD patients and confirms the possible use of esketamine in the treatment of comorbid OCD.

Objective: Even though the COVID-19 emergency has concluded, its consequences are still relevant. Recent evidence suggests that a significant proportion of individuals experience persistent symptoms long after the initial infection has resolved, classified as "Long COVID" condition. Fear of COVID-19 increases anxiety and stress levels in healthy individuals and exacerbates the symptoms of those with pre-existing psychiatric disorders; therefore understanding the impact of the pandemic on psychiatric disorders remains of utmost importance. The present study aimed at assessing the prevalence and predictive factors of fear of COVID-19 in a sample of patients with different psychiatric conditions. Method: A sample of 269 psychiatric patients were recruited from two different tertiary clinics in Italy and assessed with the Fear of COVID-19 Scale (FCV-19S). In order to compare patients with a significant fear of COVID-19 or without (Fear+ vs. Fear-) and to identify the main features in terms of clinical dimension, exploratory and predictive analysis were performed. Results. Female gender, age at illness onset, and insight levels emerged as positive predictors of FCV-19S. Conversely, current substance abuse emerged as a negative predictor of fear levels. Moreover, significantly lower FCV-19S scores were observed in patients with a diagnosis of schizophrenia spectrum disorders. Conclusions. Specific sociodemographic and clinical factors predicted higher levels of fear of COVID-19 in psychiatric patients. Further studies are warranted to determine the potential long-term consequences of the COVID-19 impact on mental health. [ABSTRACT FROM AUTHOR]

Objective: People with mental illness are overrepresented throughout the criminal justice system. In Italy, the Judicial Psychiatric Hospitals are now on the edge of their closure in favor of small-scale therapeutic facilities (REMS). Therefore, when patients end their duty for criminal behaviors, their clinical management moves back to the outpatient psychiatric centers. Elevated risks of rule-violating behavior are not equally shared across the spectrum of psychiatric disorders. To broaden the research in this area, we analyzed sociodemographic, clinical, and forensic variables of a group of psychiatric patients with a history of criminal behaviors, attending an outpatient psychiatric service in Milan, focusing on substance use disorder (SUD). Methods: This is a cross-sectional single center study, conducted from 2020. Seventy-six subjects with a history of criminal behaviors aged 18 years or older and attending an outpatient psychiatric service were included. Demographic and clinical variables collected during clinical interviews with patients were retrospectively retrieved from patients' medical records. Appropriate statistical analyses for categorical and continuous variables were conducted. Results: Data were available for 76 patients, 51.3% of them had lifetime SUD. Lifetime SUD was significantly more common in patients with long-acting injectable antipsychotics therapy, a history of more than 3 psychiatric hospitalizations, and a history of previous crimes, particularly economic crimes. Additionally, this last potential correlation was confirmed by logistic regression. Conclusions: Data emerging from this survey provide new information about offenders with lifetime SUD attending an Italian mental health service. Our preliminary results should be confirmed in larger sample sizes. [ABSTRACT FROM AUTHOR]

Depressive disorders are leading contributors to the global mental health-related burden, and they represent a challenge for real-world clinicians, due to the low rates of remission despite the high availability of treatments. Often, depression shows in the context of multiple chronic comorbidities, thus requiring precise and accurate management of pharmacological treatments to avoid interactions and side effects. These criticalities call for the need for new strategies of treatment, which may include new insights into the pharmacological properties of currently available antidepressant drugs, to enhance their efficacy in the different contexts in which depression may arise. Trazodone is the prototype serotonin antagonist/reuptake inhibitor antidepressant (SARI). Due to the malleability granted by its multiple formulations, trazodone is frequently used to treat depression, both as an add-on to other antidepressants and as a monotherapy, with satisfying results. Moreover, its tolerability makes it one of the most prescribed antidepressants in patients with poly-treated comorbid medical illnesses, especially in the elderly. Herein, a case series is presented regarding the use of trazodone in patients with complex comorbid diagnoses or distressing side effects. Each of the three cases has been discussed in three specific Round Tables, involving expert clinicians in the fields of Psychiatry, Neurology, General Practice, and Geriatrics using the Nominal Group Technique. The ideas collected have been used to integrate the cases and the discussion with the intent of facilitating accessibility to the widest audience of physicians and clinical workers in different clinical practice contexts. The final aim of this paper is to promote an increasingly personalized use of trazodone in realworld patients with depression. [ABSTRACT FROM AUTHOR]

Background/Objectives: In the past two decades, significant advancements in neuromodulation techniques have occurred, such as transcranial magnetic stimulation (TMS) for treatment-resistant depression (TRD). According to the assumption that repeated stimulation within a condensed timeframe can yield sustained efficacy, an accelerated protocol may be more effective in reducing time to response. With those premises, this study aimed to evaluate a sample of TRD patients treated with standard repetitive TMS (rTMS) and accelerated rTMS (arTMS). Methods: Nine subjects were treated with standard rTMS and 19 with arTMS. Psychometric assessment was made at the baseline and one week, one month, and three months after the treatment. A linear mixed-effect regression was performed along with other appropriate statistical analyses. Results: A significant improvement over time was observed for both depressive and cognitive symptoms. Moreover, considering the reduction in the Montgomery–Asberg Depression Rating Scale scores, a better treatment response was observed in subjects treated with arTMS (p < 0.05). Conclusions: Our findings showed a significant difference between the two protocols in terms of clinical response. Although further studies are needed to confirm the superiority of arTMS, the better cost-effectiveness of this technique should be considered. [ABSTRACT FROM AUTHOR]

Objective: Although gender-specific evidence on Gambling Disorder (GD) is still limited, some studies reported specific differences, mainly in psychopathological profiles, gambling behavior patterns, and pathogenesis. In order to further examine the role of gender in GD, we conducted a multicenter investigation in a sample of Italian outpatients. Method: One hundred-four outpatients with a diagnosis of GD based on DSM-5 criteria were consecutively recruited at two clinics based in Milan. Socio-demographic and clinical variables were collected for the whole sample and analyzed for the effect of gender. The severity of illness was assessed using the Canadian Problem Gambling Index and the Gambling Attitudes and Beliefs (GABS). Results: Among females, a significantly higher mean age (52.23 ± 10.95 vs. 40.96 ± 15.76; p=0.005) and older age at illness onset emerged (43.5 ± 11.92 vs. 29.22 ± 14.26; p<0.001). Females showed a significantly higher rate of psychiatric comorbidities, lifetime suicide ideation, stressful events at GD onset, and positive family history for GD compared to males. A predictive effect of male gender was found for the GABS questionnaires by performing a linear regression model, with males showing a higher risk to reach higher scores compared to females (B= 11.833; t=2.177; p=0.034). Conclusions: Our study seems to confirm the hypotheses that gender in GD may influence psychopathological profiles, course, and comorbidity. GD in female gender is frequently a comorbid condition with other specific clinical characteristics compared to males. Identifying specific clinical factors by gender may prompt more focus on the public health of women in relation to gambling, while still recognizing that males are at-risk of earlier gambling problems. These findings should be considered in therapeutic perspectives. [ABSTRACT FROM AUTHOR]

Treatment-Resistant Depression (TRD) poses a substantial health and economic challenge, persisting as amajor concern despite decades of extensive research into novel treatment modalities. The considerable heterogeneity in TRD's clinical manifestations and neurobiological bases has complicated efforts toward effective interventions. Recognizing the need for precise biomarkers to guide treatment choices in TRD, hereinwe introduce the SelecTool Project. This initiative focuses on developing (WorkPlane 1/WP1) and conducting preliminary validation (WorkPlane 2/WP2) of a computational tool (SelecTool) that integrates clinical data, neurophysiological (EEG) and peripheral (blood sample) biomarkers through a machine-learning framework designed to optimize TRD treatment protocols. The SelecTool project aims to enhance clinical decision-making by enabling the selection of personalized interventions. It leverages multi-modal data analysis to navigate treatment choices towards two validated therapeutic options for TRD: esketamine nasal spray (ESK-NS) and accelerated repetitive Transcranial Magnetic Stimulation (arTMS). In WP1, 100 subjects with TRD will be randomized to receive either ESK-NS or arTMS, with comprehensive evaluations encompassing neurophysiological (EEG), clinical (psychometric scales), and peripheral (blood samples) assessments both at baseline (T0) and one month post-treatment initiation (T1). WP2 will utilize the data collected in WP1 to train the SelecTool algorithm, followed by its application in a second, out-of-sample cohort of 20 TRD subjects, assigning treatments based on the tool's recommendations. Ultimately, this research seeks to revolutionize the treatment of TRD by employing advanced machine learning strategies and thorough data analysis, aimed at unraveling the complex neurobiological landscape of depression. This effort is expected to provide pivotal insights that will promote the development of more effective and individually tailored treatment strategies, thus addressing a significant void in current TRD management and potentially reducing its profound societal and economic burdens. [ABSTRACT FROM AUTHOR]

Long COVID affects both children and adults, including subjects who experienced severe, mild, or even asymptomatic SARS-CoV-2 infection. We have provided a comprehensive overview of the incidence, clinical characteristics, risk factors, and outcomes of persistent COVID-19 symptoms in both children and adults, encompassing vulnerable populations, such as pregnant women and oncological patients. Our objective is to emphasize the critical significance of adopting an integrated approach for the early detection and appropriate management of long COVID. The incidence and severity of long COVID symptoms can have a significant impact on the quality of life of patients and the course of disease in the case of pre-existing pathologies. Particularly, in fragile and vulnerable patients, the presence of PASC is related to significantly worse survival, independent from pre-existing vulnerabilities and treatment. It is important try to achieve an early recognition and management. Various mechanisms are implicated, resulting in a wide range of clinical presentations. Understanding the specific mechanisms and risk factors involved in long COVID is crucial for tailoring effective interventions and support strategies. Management approaches involve comprehensive biopsychosocial assessments and treatment of symptoms and comorbidities, such as autonomic dysfunction, as well as multidisciplinary rehabilitation. The overall course of long COVID is one of gradual improvement, with recovery observed in the majority, though not all, of patients. As the research on long-COVID continues to evolve, ongoing studies are likely to shed more light on the intricate relationship between chronic diseases, such as oncological status, cardiovascular diseases, psychiatric disorders, and the persistent effects of SARS-CoV-2 infection. This information could guide healthcare providers, researchers, and policymakers in developing targeted interventions. [ABSTRACT FROM AUTHOR]