Depressive symptoms are a common occurrence in people suffering from schizophrenia spectrum disorders (SSDs), representing a separate domain that interacts in peculiar ways with positive and negative symptoms. Nonetheless, available evidence on the relationship between depression and key clinical dimensions of SSDs is limited.

To increase the knowledge regarding depression in SSDs, we performed a cross-sectional study aimed to investigate the association of depressive symptoms with overall, general psychopathology, positive, and negative symptoms in individuals with SSDs.

Adult people with SSDs were recruited from two psychiatric inpatient units in the northern area of the Metropolitan City of Milan from May 2020 to March 2023. Study participants with a Calgary Depression Scale for Schizophrenia score >6 were rated as depressed. Symptom severity was assessed by using the Positive and Negative Syndrome Scale (PANSS). Variables associated with depression at the univariate level were included into two multiple logistic regression models to analyse the association between depression and PANSS overall score as well as General Psychopathology, Positive, and Negative sub-scores.

A total of 231 subjects with SSDs were included. Among them, approximately one third (N=78; 33.8%) reported depressive symptoms. Multiple logistic regression models suggested that depression in individiuals with SSDs was associated with higher overall (p<0.001) and General Psychopathology (p<0.001) PANSS scores. Conversely, an inverse relationship between depression and positive symptoms was found (p=0.002). Negative symptoms were not associated with depression (p=0.210).

Our findings suggest that people affected by comorbid SSDs and depression have more severe overall and General Psychopathology symptoms according to PANSS scores, as well as lower levels of positive symptoms. Further investigations are needed to evaluate the generalisability of these findings and to improve the clinical management of people with SSDs and depression.

None Declared

The COVID-19 outbreak and the related containment measures led to the emergence of psychological distress in youth populations, possibly due to concern for their families, social isolation, increased time spent on the Internet and social media, and anxiety about the future.

The study aims to evaluate differences in the access of children, adolescents, and young adults to a psychiatric emergency setting before and after the onset of the COVID-19 pandemic.

Data concerning the psychiatric consultations carried out at the Emergency Department of the University Hospital of Perugia was collected. Socio-demographic and clinical information, including diagnostic and treatment features, was entered into an electronic database. We considered two different time spans, one before (01.06.2017-31.12.2018) and one after (01.06.2020-31.12.2021) the COVID-19 pandemic outbreak. The characteristics of consultations carried out before and after the pandemic outbreak were compared by means of bivariate analyses (p<0.05).

2,457 psychiatric consultations were carried out in the index periods. 1,319 (53.7%) were requested before, while 1,138 (46.3%) after the COVID-19 outbreak. As for the latter, these were more frequently requested for female subjects (64.2% vs 54.5%, p=0.0042), while institutionalized people underwent psychiatric consultations less frequently in the post-COVID-19 period (5.6% vs 18.2% p<0.001). A significant difference in the prevalence of anxiety disorders (9.7% post-COVID-19 vs 18.8% pre-COVID-19, p=0.009) and adjustment disorders was found (7.1% vs 1.5%, p=0.009). Substance-related disorders were significantly reduced (8.0% vs 15.8%, p=0.016) after the COVID-19 outbreak. About psychopharmacological treatment, there was an increase in people who had received treatment in the past but were no longer on treatment (52.3% vs 30.8%, p<0.001). The prescription of antipsychotics also increased (29.3% vs 18.5%, p=0.012). At discharge, subjects were more frequently hospitalized in the Psychiatric Inpatient Unit in the post-COVID-19 period (22.2% vs 12.8%, p=0.012).

Our data confirms the vulnerability of youth populations during the pandemic. The consequences of health emergencies on the psychological well-being of this population must not be underestimated and tailored treatment strategies should be implemented.

None Declared

Suicide is the fourth leading cause of death among adolescents and young adults (AYA) (Czyz EK, King CA. J Clin Child Adolesc Psychol.2015;44(1):181-19), and psychiatric disorders are a major contributing factor (WHO Global Health Estimates 2000-2019). Studies focusing on suicidality in Italian inpatients samples are scant.

The present cross-sectional study aimed to define clinical variables associated with suicidality related phenomena in a sample of young inpatients. The main objectives were to assess the prevalence of suicidal ideation and deliberate self-harm in inpatients aged 16–24 years and to determine the relationship between suicidal behaviours and psychiatric disorders.

This retrospective study was conducted in a naturalistic setting, at the Psychiatric Inpatient Unit, Perugia Hospital/Local Mental Health Unit 1, from January 2018 to December 2019. Sociodemographic information, clinical history, diagnostic and treatment features were collected. Descriptive and bivariate analyses were performed (p<0,05).

Among 120 patients (14,2% of the overall 850 hospitalizations in the index period) admitted for suicidality-related phenomena, 21 (17,5%) were AYA. Admission was due to deliberate self-harm in 85,7% (n=18) and to suicidal ideation in 14,3% (n=3) cases. Personality disorders (p=0.006), were significantly more prevalent among AYA, while mood disorders were more frequent among adults (p=0.0018) (Tab.1).Tab.1.Differences in diagnostic features between AYA and adult population.

Personality is under construction among youths, and affective symptoms may have unusual characteristics (Lack CW, Green AL. J Pediatr Nurs. 2009;24(1):13-25), as demonstrated by the fact that irritable rather than depressed mood is a core diagnostic mood symptom for adolescents (Rice F, et al. J Affect Disord. 2019;243:175-181). We hypothesized that symptoms of irritability, emotional dysregulation, and impulsivity could be linked to suicidality (Ghanem M, et al. Arch Suicide Res. 2013;17(3):262-274). Further investigations are needed for the characterization of AYA inpatients who experience suicidal thoughts or self-injurious behaviours, in order to redefine preventive tools and reduce suicide mortality rates.

None Declared

Circadian rhythms, defined as endogenous oscillations that regulate metabolism, physiology and behaviour, may be frequently disrupted in mood disorders, influencing their clinical presentation and course (Srinivasan V. et al. World J Biol Psychiatry. 2006;7(3):138-151).

To characterise circadian rhythm disruptions in a population of patients with mood disorders, analysing clinical and course differences in subjects with and without clinically significant circadian rhythm alterations

Patients selected for this cross-sectional study were assessed with CGI-BP, HAM-D, MRS, and PANSS. Circadian rhythm disturbances were evaluated with BRIAN. Patients with clinically relevant circadian rhythm disturbances were defined as BRIAN > 36 (Mondin TC et al. J Psychiatr Res. 2017;84:98-104). Bivariate analyses were subsequently performed to compare subgroups of patients.

In our study, 61 subjects with DD or DB were enrolled. The overall mean BRIAN test score was 40.08 ± 10.26. When comparing the BRIAN test scores, both total and subscales, between subjects with DB and DD, social rhythms were significantly more altered in subjects with DB (8.63 ± 2.90 VS 6.80 ± 2.11, p=0.034). Subjects with disruption of circadian rhythms displayed greater severity of depressive symptoms (mean total HAM-D test score 16.06±8.61 VS 8.94±5.85; p<0.003, mean CGI-BP severity of depression test score 3.14±1.68 VS 1.88±1.11; p<0.010) and with a longer duration of untreated illness (6.14±8.64 VS 2.53±6.28; p= 0.040).

Alterations in circadian rhythms should be routinely investigated in all individuals with mood disorders, especially BD, and may represent a transdiagnostic psychopathological construct that defines a more severe disease phenotype.

None Declared

Smart healthcare monitoring allows detecting health conditions using Big Data, namely aggregated data concerning physiological and behavioral parameters. The continuous collection of data from smart-devices performed by the Ecological Momentary Assessment approach represents a promising application of Big Data.

This preliminary study was aimed at developing a research protocol focused on the use of Big Data in evaluating the impact of urban environment, affected by a variety of potentially damaging anthropogenic actions, on illness relapses in Bipolar Disorders (BD).

This pilot study was designed by researchers from Departments of Psychiatry and Engineering (CIRIAF), University of Perugia. Environmental, physiological, and behavioral parameters and smart-devices aimed at collecting Big Data were identified. Subjects aged 18-65, affected by BD in current euthymic state referring to the University/General Hospital of Perugia will be recruited.

Subjects will undergo a baseline visit and three monitoring visits during one year. Wearable devices will be provided for collecting data about environmental and physiological parameters. Behavioral data will be collected through smartphone accelerometers, GPS, and overall smartphone use. Big data will be stored into an online platform that will provide real-time feedback concerning the recorded variables. Clinical information concerning BD relapses will be collected. Machine learning techniques, integrated to deterministic analysis of urban environmental conditions, will be used to create possible predictive models for BD relapses.

The present project could allow the creation of a new operative platform for a better health management system correlating real-time Big Data to specific clinical features of BD.

No significant relationships.