Research into dreams, have shown the association between increased frequency of distressing dreams, specific content themes (analysed using the Hall Van de Castle system) and greater incidence of progression of neurological conditions and dementia. The history of predicting illnesses by the content of dreams, in the western world is popularly traced backed to the ancient Greek medicine. This stimulates the curiosity if any such practices existed in the ancient medical practises of the eastern world. Ayurveda is one such traditional system of medicine, that is native to the Indian subcontinent. Charaka Samhita is one of the oldest texts on Ayurveda consisting of 8 sections and 120 chapters totally. This text was selected for the purpose of this review, with the line of enquiry such as what does Ayurveda say about dreams associated with illnesses? What are the contents of such dreams? Furthermore, the dream content analysis was done using the Hall Van de Castle system, which is probably the first time being done on an Ayurveda text content.

1) To explore if, Charaka Samhita mentions, describes dreams in relation to illnesses, stages of illnesses and their prognosis. 2) To analyse content of the dreams seen in prodromal stage of illnesses.

1-The Charaka Samhita text was scanned chapter by chapter, to answer the questions- a) What are the types of dreams? b) Are any associated with illnesses? c)Are any dreams mentioned in the prodromal stage of illnesses? d)What do they imply? e)What are their contents? 2- The contents of prodromal dreams were analysed against the categories of Hall Van de Castle system.

As per Charaka Samhita, the types of dreams are, i) those based on what was seen ii) heard iii) reflected upon iv) desired v) imagined vi) those of prophetic type and vii) those caused by illnesses. Specific dreams in the prodromal stage, predict manifestation of specific illnesses (mild or fatal). In the diverse dream contents (18 themes mentioned) ranging from things animals to gods and demons, except the elements of the past, rest of the general categories occur, at least once. The categories characters, objects, activities and social interactions were more common than the rest.

Thus akin to the ancient Greek medicine, Ayurveda too had the practice of predicting illnesses based on the dream contents.

None Declared

Dissociative Identity Disorder (DID) is a complex and enigmatic mental disorder in which an individual maintains two or more distinct identities or personality states. We present a rare and captivating case report of a 27-year-old female patient who exhibited a remarkable 17 distinct identities, developed in a clear and unprecedented timeline following a series of specific traumatic events. The novelty of this case lies in the comprehensive documentation and analysis of the sequential emergence of these identities, offering valuable insights into the development and progression of DID.

Our aim in presenting this case study is to offer a unique presentation to the constantly evolving understanding of DID. This case offers insight and provokes the need for research into the traumagenic nature of DID. This case showcases the influence on the chronological evolution of the patient’s 17 identities following a multitude of traumatic events.

Structured interviews, psychiatric assessments, and psychological measurements, including self-reported measures of the Dissociative Experiences Scale, were employed to assess the identities and their individual experiences of the traumatic events. The patient was diagnosed with DID and received treatment including pharmacotherapy, psychoeducation, and trauma-focused psychotherapy. As a result of the therapeutic process, the patient was able to develop a higher sense of self-awareness and thus was able to integrate their 17 fragmented identities into a single host identity, demonstrating improvement in the functioning of interpersonal relationships.

The patient’s history reveals that the onset of her DID was linked to a traumatic event that occurred during early childhood, triggering the emergence of her first alternate identity. Over time, additional identities manifested, each appearing to serve as a coping mechanism to contend with the psychological distress stemming from subsequent significant trauma episodes. This case report meticulously outlines the chronological development of these identities and explores the distinct characteristics, behaviors, and roles assumed by each personality.

This case report offers valuable information on the complex development and pathogenesis of DID with a trauma influence. The presentation of this patient may lead to further research and more tailored therapeutic interventions for individuals suffering from DID.

None Declared

The fNIRS is an optical brain monitoring technique which uses near-infrared spectroscopy for the purpose of functional neuroimaging. Using fNIRS, brain activity is measured by using near-infrared light to estimate cortical hemodynamic activity which occurs in response to neural activity. In the aspect of psychiatry fNIRS is a tool that can potentially facilitate the clinical diagnostic process and identify stages of psychiatric illnesses by providing objective and quantifiable evidences of brain changes. However, this will require specific cerebral haemodynamic patterns to be validated in larger clinical populations with specific psychiatric disorders.

Our team decided to set a fNIRS system to find out the difference in prefrontocortical (PFC) activity pattern between healthy and anhedonic population. This abstract has been created for introduce our first findings about the difference in PFC activity under emotionally positively or negatively coloured stimuli in healthy population.

We have measured 5 healthy adults, non-anhedonic participants under emotionally different visual and acustic stimuli with the use of NIRX/NIRScout system with the view of our prefronto-temporo-parietal montege.

Fig 1 We devided our experimental tools into 4 individual 20 second long parts:

Passive neutral visual or acustic stimuli for baseline (watching a black dot or scilence)

Passive visual stimuli (watching a single picture)

Active visual stimuli (choosing from photo collage) to detect contrast of cortical background activation

Passive acustic stimuli (listening sounds)

In total, we defined emotionally, two neutral, four positive and four negative stimuli in our experimental setting.

Softwares: We used HOMER3 for analyzing our datas and estimate hemodinamic reponse factor (HRF) using general linear matrix (GLM) regression. We used AtlasViewer for reconstructing HRF image onto the Colin27 digitalised brain model. And we also used SPSS for statictical analysis between stimuli types and HRF means.

Fig 2 Significant HRF differences were measured in the dominant hemisphere dorsolateral prefrontal cortex (DLPFC) between the influence of each emotionally negative and positive stimuli (p<0.001). The level of DLPFC activity was positively influenced by emotionally positive stimuli (p<0.001).

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Fig 3 Our fNIRS experimental system is a suitable tool to measure and model the pattern of prefrontal cortical activity.

Based on the measured hemodynamic values, we detected a significant activity difference in the dominant hemisphere DLPFC during emotionally positive and negative stimuli, the extent of which is positively influenced by emotionally positive stimuli.

The left DLPFC appears to be a promising target for our next studies of anhedonia.

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The patient is a 50-year-old female, with multiple admissions in the PICU. At her first admission, at the age of 30 she presented the following main symptoms :mutism, negativism, crying and loss of bladder and bowel control. After collecting her complete family history, it was determined that her mother and one of her brothers were diagnosed with mild intellectual disability. Concerning her childhood history, she presented with late milestones as an infant and toddler and difficulties throughout primary education. Little information concerning her adult life was given, since the patient remained mute during the entirety of her first hospitalization.

Determination of the efficacy of olanzapine in a patient with Phelan-McDermit syndrome with mild intellectual disability and psychotic symptoms such as auditory hallucinations, delusional ideas and disrupted behavior.

PANSS Test, intellectual capacity test, genetic testing.

PANSS Scale Score at the 1st day of admission:100

PANSS Scale Score at the last day: 79

Intellectual capacity test: mild intellectual disability

Genetic testing results: Phelan-McDermit syndrome

After 20 days, symptoms showed mild recession in responce to 20mg of olanzapine. In a period of 12 months, the patient showed no signs of relapse and she was not readmitted in the PICU.

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Affective disorders are associated with cognitive deterioration, manifested by an increased risk of developing dementia. Late-onset bipolar disorder (BD) establishes a dynamic interaction between dementia and BD, considering its particular manifestations in old age.

Provide a comprehensive overview of the clinical and epidemiological attributes specific to late-onset BD, elucidating its interplay with dementia.

We conducted a literature search on PubMed in August 2023, using the following terms: late-onset bipolar disorder AND dementia. Only systematic reviews and meta-analysis were included with no year or language restrictions. Three articles were eligible for this review: two systematic reviews and one meta-analysis.

Late-onset BD can be defined as a secondary condition and may result from an expression of lower vulnerability to BD, when compared to early-onset BD. On the other hand, late-onset BD may be conceptualized as a subtype of pseudodementia, or even considered a risk factor for dementia. In fact, this particular association with dementia supports the existence of a specific class of BD, i.e. BD type VI. Such diagnostic overlap might be explained by common factors that have been associated with both BD and dementia, such as cardiovascular risk factors, systemic inflammation, stress and levels of baseline cognitive reserve. Despite the commonalities, other aspects, such as family history and prior history of a mood disorder, may help to make the differential diagnosis between late-onset BD and dementia.

There is a diagnostic challenge between dementia and the neurocognitive decline associated with BD, particularly in the case of a late-onset BD. Although the available evidence is limited, current evidence demonstrates that BD can indeed be seen as a risk factor for dementia. Therefore, cognitive impairment in individuals with BD should not be overlooked.

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Traumatic brain injury (TBI) induces cognitive and behavioral changes due to environmental impacts on brain tissue.

Highlighting the atypical TBI presentation challenging conventional diagnostics and obscured by conversion disorders.

A 36-year-old male veteran, injured by a sniper rifle in 2011, presented with right ear tinnitus and monthly, unresponsive right hemicranial headaches. Seizures occurred every two weeks with no reported loss of consciousness or sensation. The gunshot wound to the neck in 2011 prompted emergency intervention, with entry and exit wounds located in the posterior lateral neck. Post-injury symptoms comprised hearing loss, tinnitus, restricted neck movement, and weakness in the right arm. Seizures persisted, accompanied by numbness and neck movement. Management included physical therapy, hyperbaric oxygen therapy (improving weakness but not tinnitus), and administration of piracetam (2400 mg/day), sertraline (100 mg/day), and ginkgo biloba (2400 mg/day). Psychiatric consultation suggested a diagnosis of “conversion disorder.”

Neuropsychological Evaluation: Raven Standard Progressive Matrices Test showed borderline impairment. Psychiatric Evaluation noted monotonous mimics, occasional depersonalization, reduced emotional involvement, and slowed psychomotor activity. Elevated trait anxiety was observed per the State-Trait Anxiety Inventory. Neurological Examination identified left arm weakness and impaired resting balance. Imaging Findings: F18-FDG PET/CT Scan at 1 year post-GSW showed hypermetabolism in the right frontal lobe, and at 3.5 years post-GSW demonstrated decreased glucose metabolism in the bilateral cerebellar cortex, temporal lobe, and bilateral parietal lobe.

A high-kinetic-energy bullet passed through the right lateral base of the neck without causing apparent brain damage. Proposed is the generation of upward pressure waves in neck tissues through the transmission of kinetic energy, compressing and displacing soft tissues toward the skull. Gunshot injuries create cavities, forming high-pressure waves capable of damaging distant brain regions, leading to TBI such as crush injury, edema, and myelin and axonal damage (Courtney & Courtney, 2007). Microscopic brain damage, undetectable by current imaging, may only surface during autopsy (Yilmaz & Pekdemir, 2007). Rat studies after primary blast injuries reveal brain alterations, highlighting that high-pressure pulses can cause neuronal damage, potentially yielding related symptoms (Cernak et al., 2001). The patient’s atypical symptoms, combined with the initial conversion disorder hypothesis, underscore the need for a diagnostic paradigm shift to differentiate traumatic brain injury from other potential misnomers.

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Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by high levels of inattention, hyperactivity, and impulsivity that are present before the age of seven, seen in a variety of situations, inconsistent with the child’s developmental level and that cause social or academic damage. Parents may respond with high levels of verbal aggression and disciplinary measures to disruptive behaviors, which causes their children to respond negatively, influencing a bidirectional process of participating of a vicious circle. The pandemic has been a huge battle for everyone. Their anxiety in this extraordinary situation can also increase the children’s psychological and behavioral problems.

This literature review aims to explore the connection between the increase of parental stress among parents of ADHD children and worsening symptoms of ADHD, before and during COVID-19 outbreaks.

The literature review was performed by searching the following electronic databases (for all available years from 2005-2021): PubMed, PubMed Central, Springer Open, Hindawi, Google Scholar. We included studies with a primary focus on parenting stress in families that have children, aged 6-12 years old, with a clinical diagnosis of ADHD that was made by a specialist using the diagnostic criteria of DSM-III/DSM-IV/DSM-V or ICD-10. The search was organized in chronological order by selecting studies published in the time period before,during and after the pandemic.

Parents of children with ADHD tend to use inappropriate parenting styles, they are more disapproving, critical and exhibit poorer monitoring and more corporal punishment than parents of children without ADHD who try to control disruptive behaviors. These parenting styles can affect the course of the disease, worsen its manifestations and cause the secondary development of psychiatric and maladaptive behaviors. In some of the studies,during the outbreak of the COVID-19 pandemic, is observed a high prevalence of depressive symptoms (62.5%) among caregivers, while 20.5% and 36.4% indicated anxiety and stress symptoms, respectively.Some parents reported deterioration of general well-being in their children and this manifested as oppositional/defiant attitudes and emotional outbursts, sleep problems and anxiety in this context.

The pandemic has had psychological influences on parents with ADHD that affected their children’s compliance with the medication and, consequently worsened their symptomatology. Society can be exposed to chronic stressors like Covid-19 anytime soon, so the main focus must be  identifying needs to inform future interventions designed to support parents and ultimately their children. Psychoeducation of parents should be promoted in order to cope with the symptomatology of ADHD in the field of normality or under a chronic stressor.

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Psychopathological exploration (PPE) involves an assessment of the mental state of patients, where psychological signs and symptoms are analyzed, which collectively form a syndrome. To conduct this assessment, the clinician must utilize their expertise to identify the presence and authenticity of a series of symptoms that, once recognized, allow for a diagnosis (1). The presence of this subjective component could explain why, despite the continuous growth of artificial intelligence (AI), its application in clinical psychiatry practice remains limited. However, the combination of the clinician's work with AI could enhance diagnostic accuracy and our understanding of diseases (2).

The objective of this study is to investigate whether AI can make accurate diagnoses through an initial psychopathological evaluation.

A random sample was selected from our medical records of all patients admitted to our acute mental health inpatient unit through the hospital's emergency services in the year 2022. An anonymized database was created, including sociodemographic information, the results of the psychopathological assessment in the emergency department, and the diagnosis at the time of discharge. The psychopathological assessment conducted in the emergency department was provided to the AI chatbot ChatGPT, with a request to establish a diagnosis according to the DSM-5. Diagnoses such as brief psychotic disorder, schizophreniform disorder, and schizophrenia were considered, given their acute symptom similarities, as well as major depressive disorder (unipolar) and bipolar disorder. The level of agreement between both diagnoses was evaluated using the kappa coefficient.

The sample consisted of 15 patients, of whom 60% were male, with a mean age of 45 years (standard deviation = 15.6). 73.3% of the patients had prior mental health follow-up, and 66.7% had been previously hospitalized. Diagnoses included psychotic disorder in 33.3% of cases, bipolar disorder with manic episode in 26.7%, depressive disorder in 13.3%, delusional disorder in 13.3%, schizoaffective disorder in 6.7%, and borderline personality disorder in 6.7%. A kappa value of 0.561 was obtained, indicating a moderate degree of agreement between the diagnoses.

Despite the inherent subjectivity in psychopathological assessment, this study suggests that AI, in the form of natural language processing chatbots like ChatGPT, can be a useful tool to assist mental health professionals in the diagnostic process. While AI shows promising potential, it should not entirely replace the experience and clinical judgment of mental health professionals. Instead, the importance of potential collaboration between AI and clinicians for achieving more precise and comprehensive diagnoses is highlighted.

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Mental healthcare services that address a variety of primary complaints which are highly related to maladaptive personality traits among the general population are important to prevent developing psychiatric disorders.

This study aimed to examine the effectiveness of a digital mental health service (named “Mindling”) that focuses on maladaptive personality traits in the general population.

Participants were recruited through a South Korean community website and screened for adults between the ages of 18 and 60 in terms of personality traits such as perfectionism, low self-esteem, social isolation, or anxiety. Participants were allocated to four intervention programs (Riggy, Pleaser, Shelly, and Jumpy) based on their screening results and were randomly assigned to digital treatment and waitlist groups. Each intervention program was conducted online for 10 weeks. The primary outcomes were all measured by self-report questionnaires; in addition to stress levels, each program included measures of perfectionism (Riggy), low self-esteem (Pleaser), loneliness (Shelly), and anxiety (Jumpy). The secondary outcomes included self-efficacy, depression, and other psychological states. All participants completed pre-treatment (baseline), intervention (week 5), and post-treatment (week 10) assessments, and the treatment group completed a separate follow-up assessment (week 14).

In the treatment group, 70.05% of the participants completed the full course of the digital intervention. The mean scores for each primary outcome measure and some secondary outcome measures were significantly different between baseline and post-treatment in the treatment group for the Total, Riggy, Pleaser, Shelly, and Jumpy programs, but these differences were not observed in the waitlist group. In addition, mean differences between the treatment and waitlist groups at post-treatment assessment were significant for all primary outcome measures and some secondary outcome measures. Specifically, the levels of stress (Total program), perfectionism (Riggy), loneliness (Shelly), and anxiety (Jumpy) were significantly lower in the treatment group, while self-esteem (Pleaser) was higher. In addition, the mean differences between post-treatment and follow-up assessment data were not statistically significant for all primary outcome measures and nearly all secondary outcome measures.

This study validated the effectiveness of the digital intervention program targeting maladaptive personality traits and suggested its sustainable effects.

None Declared

The sense of agency (SoA) indicates a person’s ability to feel her/his own motor acts as actually being her/his, and through them to exert control over the course of external events. Disruptions in SoA may profoundly affect the individual’s functioning, as observed in several neuropsychiatric disorders.

This is the first article to systematically review studies that investigated intentional binding (IB), a quantitative proxy for SoA measurement, in neurological and psychiatric patients.

Eligible were studies of IB involving patients with neurological and/or psychiatric disorders. The research adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

We included 15 studies involving 692 individuals. Risk of bias was low throughout studies. Eligible studies dealt with data from 357 patients with neuropsychiatric disorders matched with 335 HCs. Of included patients, 95 were with schizophrenia (SCZ), 30 with a putative prodromal psychosis (PP), 21 with borderline personality disorder (BPD), 66 with Parkinson’s disease (PD), 38 with an autism spectrum disorder (ASD), 29 with functional movement disorders (FMDs), 25 with Gilles de la Tourette syndrome (GTS), 52 with anorexia nervosa (AN; 22 with active disorder and 30 after they had recovered), and 10 with Cortico-Basal syndrome (CBS).

Temporal binding was calculated in eleven studies using variations of the experimental procedure introduced by Haggard et al. (Haggard et al. Nat Neurosci 2002;5 382-385)(Figure 1, A), while four studies utilized a different paradigm named interval estimation (IE)(Figure 1, B).

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Abnormally increased action-outcome binding was found in schizophrenia and in patients with Parkinson’s disease taking dopaminergic medications or reporting impulsive-compulsive behaviours. A decreased IB effect was observed in Tourette’s disorder and functional movement disorders whereas increased action-outcome binding was found in patients with cortico-basal syndrome. The extent of IB deviation from healthy control values correlated with the severity of symptoms in several disorders. Inconsistent effects were found for autism spectrum disorders, anorexia nervosa, and borderline personality disorder. Findings pave the way for treatments specifically targeting SoA in neuropsychiatric disorders where IB is altered.

None Declared

Attention deficit hyperactivity disorder (ADHD) is a neurobehavioral disorder witch assumed to be a disorder of childhoood but recently has been shown to persist into adulthood. As in children, core features of adult ADHD include inattention, impulsivity, and/or hyperactivity.Despite growing interest in adult ADHD, little is known about its prevalence or correlates.

We aimed to estimate the prevalence of ADHD in adult outpatient psychiatric care at the university hospital of Gabes (southern Tunisia) and to explore its association with addictive disorders.

We conducted a cross-sectional, descriptive, and analytical observation study,in the outpatient psychiatry department of the Gabes university hospital, during the period ranging from 1/1/2023 to 30/06/2023. We used an anonymous pre-established information sheet exploring the socio-demographic, clinical, therapeutic data of the patients, lifestyle habits and substance use, the DSM-5 to classify diagnoses, CGI-S to rate the severity of overall mental illness, Fagerström test to assess the nicotine dependence, Adult ADHD Self-Report Scale (ASRS) in its validated Arabic version to screen ADHD and the Diagnostic Interview for ADHD in Adults (DIVA) to confirm the ADHD diagnosis. Data entry and analysis were performed using Statistical Package for Social Sciences (SPSS) version 21.0.

The response rate in our study was around 64.5%, 205 patients were included.The mean age of the patients was 48years ±14.9, the male/female ratio was 1.The estimated prevalence of adult ADHD according to the DIVA was 5.9% (male/female ratio=1/2). At the uni-variate study, significant associations were found between ADHD and the age category (p=0), the marital status (OR=0.14; CI [0.03- 0.55], p=0.003), theFagestrom score (p=0.01), cannabis consumption (OR=19; CI [1.8-201], p=0.018), psychotropic drugs consumption (OR=39; CI[3-196], p=0.02), self-harm behavior (OR=6.9, CI[1.9-26], p=0.01), excessive use of internet and screens (OR=38, CI[7-179],p=0). At the multivariate study, two determining factors were found: cannabis consumption(OR=8 [1- 58]; p=0.031), and the excessive use of internet and screens (OR=25 [4-144]; p=0).

Regarding our findings and the important prevalence of the adult ADHD,more efforts are needed to increase the detection and treatment of this disorder, in order to set up an early intervention before major impairments and complications become irreversible.

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Families and friends of individuals with alcohol and other drug use (AOD) issues are highly stigmatised and vulnerable, which often leads to social isolation, decreased quality of life, psychosocial vulnerability, heightened distress, less access to social support, and development of maladaptive coping strategies and own mental health challenges and/or AOD use issues. While peer support for families is commonplace in Australia, in Darwin, psychosocial support activities delivered by peers are very sparse.

The NT Lived Experience Network (NTLEN), in allyship with a team of researchers from Flinders University, has secured multiple fundings aimed to develop, implement, and evaluate a peer education and recovery program called Circles of Support (CoS) for families and friends of persons with AOD use issues.

The suitable evaluation approach was co-designed with live experience representatives from NTLEN and other local key stakeholders. It applied a mixed-method approach, including pre and post-program surveys (n=26) and individual interviews with program participants and the program delivery team (n=11). We also used a co-design approach to develop survey instruments to ensure they were strengths-based and recovery-oriented.

While most participants showed sound stress management skills and understanding of stressors at the program start, about 30% did not think they could handle distress if it got worse and did not have the tools to live the life they wanted. Also, about 25% did not know when to ask for help. Many participants (40%) expressed that they were not hopeful about possible changes in their own family context, such as fewer experiences of stress. By the end of the program, participants reported lower stress levels and higher total empowerment scores. The qualitative interviews highlighted the complexities and challenges participant faced in their journeys. Among them, stigma was considered the most critical, especially among participants from culturally and linguistically diverse backgrounds. In some cases, perceived stigma prevented participants from joining the program. The program was well-received and successful in empowering families and friends and improving their own mental wellbeing. Their key learning and experiences included identifying the stage of their situation, learning to cope with challenges, reducing stress, developing hope, experiencing growth, creating a better and more supportive relationship with their loved ones, and implementing self-care on a regular basis.

Our findings emphasise the critical role of peer support for families and friends in improving their mental health and wellbeing. They also draw attention to improving help-seeking behaviours, which may be influenced by stigma, shame and prioritising the person’s needs.

None Declared

The United States of America are currently facing a public health crisis characterized by the abuse of synthetic opioids, notably Fentanyl, and the veterinary sedative Xylazine. While each of these substances has been associated with significant risks, their current misuse presents a formidable challenge to healthcare professionals, law enforcement agencies and policymakers. While the opioid epidemic has long held the nation in its grip, the emergence of Xylazine as complementary agent in substance abuse has added a disturbing layer of complexity to an already terrible situation, due to its cost-cutting, an increase in its addictive properties and its ability to extend the duration of the opioid with which it is combined.

The authors intend to review the relevant and current literature in order to extend the knowledge about this condition and find the best conducts for clinical practice.

Non-systematic literature review

Various regions of the United States are facing a troubling surge in the co-abuse of Fentanyl, a potent synthetic opioid many times more potent than morphine, and Xylazine, a veterinary sedative and muscle relaxant, particularly in urban areas. The motivations for this combination appear to vary, ranging from the enhanced euphoria to cost-saving measures, further fueling its prevalence. However, the consequences are devastating. Both substances depress the central nervous system, with a sharp increase in overdose deaths and emergency medical services are strained to their limits in responding to these crises. Law enforcement agencies are facing a daunting task in curtailing the distribution of these substances, often grappling with clandestine networks that exploit the accessibility of these drugs.

The concurrent abuse of Fentanyl and Xylazine represents a critical public health challenge in the United States of America, demanding immediate attention and a multidisciplinary response. Failure to address this issue comprehensively will have profound implications for the well-being of individuals, families and communities across the nation. It is imperative to mobilize resources, foster interdisciplinary collaboration and develop evidence-based policies to combat this dual-threat crisis. Novel intervention strategies, including community education programs, targeted outreach efforts, and supervised consumption facilities, are urgently needed to address this complex issue.

None Declared

The relevance of studying the clinical and immunological characteristics of prolonged and chronic endogenous manic and manic-delusional states is conditioned by their high prevalence, insufficient understanding of pathogenetic mechanisms, and the need to develop adequate therapeutic approaches.

To study the clinical and biological correlations between inflammatory markers of blood plasma, the severity of manic symptoms and psychopathological characteristics of patients with prolonged and chronic endogenous manic and manic-delusional states.

70 female patients aged 18 to 55 years (mean age 33.6±5.9 years) with prolonged and chronic endogenous manic and manic-delusional states within different nosologies (F31.1-2, F25.01, F25) were examined. Psychometric assessment was performed using the PANSS, YMRS, and GAF scales. The control group consisted of 55 mentally and somatically healthy women of the corresponding age.

Leukocyte elastase (LE) activity, α1-proteinase inhibitor (α1-PI) activity, and the autoantibody levels to astrocytic protein S-100B and myelin basic protein (MBP) were determined in blood plasma.

The increase in the level of immune system activation of different degrees (according to the complex of inflammatory and autoimmune markers) associated with the severity of the patient’s condition within the examined nosologies was revealed.

The highest level of immune activation, characterized by an increase in the activity of both LE and α1-PI (p<0.01), and the level of autoantibodies to S-100B and MBP (p<0.05), was characteristic of patients with chronic endogenous manic and manic-delusional states in the framework of schizophrenia. Manic symptoms within different nosologies had clinical features, however, no differences in the severity of these symptoms on the YMRS scale were revealed (p>0.05).

Positive correlations were found between LE activity and the PANSS subscale of general psychopathological symptoms (R=0.3, p=0.006) and the PANSS total score (R=0.3, p=0.03). The level of antibodies to S-100B correlated with the PANSS negative subscale score (R=0.3, p=0.04). A negative correlation was found between LE activity and the level of social functioning of patients according to the GAF scale (R=-0.3, p=0.02).

The immune profile of patients with prolonged and chronic manic and manic delusional states within endogenous psychiatric disorders is determined mainly by nosologic affiliation, which is also related to the clinical features of manic states.

None Declared

The role of spirituality in health and disease is a complex and emerging area of research. Incorporating spirituality into the bio-psycho-social model of health and disease leading to the bio-psycho-social-spiritual model provides a more comprehensive framework. In this context, chronic disorders like primary Sjögren’s syndrome (pSS) are of interest due to their intricate interactions between biological, psychological, and spiritual factors.

To study possible relationships between spirituality, immune parameters, and disease activity in pSS patients.

Patient recruitment for the study took place at the Autoimmune Sjögren specialty clinic, University of Debrecen, resulting in 112 patients. Assessing spirituality of the patients happened through 4 direct questions and the Sprituality Transcendence Scale (24 items). Besides, clinical data of the patients were involved in the study including blood cell counts, rheumatoid factor, immunoglobulin G, Sjögren-specific autoantibodies and disease activity scores (semi-objective and patient reported,). The statistical analysis was conducted applying group comparisons between spiritual and non-spiritual groups, and linear and logistic regression analyses adjusted for sex, age, disease duration, settlement type, education, living in partnership and smoking. Out of the 112 patients 4 gave incomplete response, and therefore got excluded from the analysis, resulting in a total sample size of 108.

Semi-objective disease activity score (ESSDAI) and perceived vaginal dryness was significantly lower in the non-spiritual group. Spirituality was proven as a significant predictor of anti-SSB autoantibody serum activity and ESSDAI, while engaging in prayer/meditation and its duration predicted significantly anti-SSA autoantibody serum activity, perceived skin and tracheal dryness. Concerning logistic regression analysis, we found that an increase of one unit in spirituality reduces the probability with 81.6% of having a detectable, semi-objective disease activity at all. Significant associations were found between the duration of prayer/meditation and both semi-objective and patient reported disease activity scores and autoantibody anti-SSB with an inverse ratio based on logistic regression model.

Spirituality is associated with immune parameters and disease activity in pSS. Patients with spiritual attitude are less likely to have increased disease activity. Besides being spiritual, engagement in individual spiritual activities, such as prayer/meditation has beneficial disease modifying effect. These changes are supposedly due to psychoneuroimmunological pathways. In addition to the biologically measurable variables, the alleviation and aggravation of perceived symptoms (e.g. dryness) are important outcomes of spiritual engagement and practice.

None Declared

Over the past few years, Psychiatry has undergone a significant transformation with the integration of Artificial Intelligence (AI). This shift has been driven by the increasing demand for mental health services, as well as advances in AI technology. AI analyzes extensive datasets, including text, voice, and behavioral data, aiding in mental health diagnosis and treatment. Consequently, a range of AI-based interventions has been developed, including chatbots, virtual therapists and apps featuring cognitive-behavioral therapy (CBT) modules. Notably, chatbots, as conversational agents, have emerged as valuable tools, assisting users in monitoring emotions and providing evidence-based resources, well-being support, psychoeducation and adaptive coping strategies.

This study aims to investigate the impact of AI chatbots on improving mental health, evaluate their strengths and weaknesses and explore their potential for early detection and intervention in mental health issues.

A literature review was conducted through PubMed and Google Scholar databases, using keywords ‘artificial intelligence’, ‘chatbot’ and ‘mental health’. The selection focused on the most relevant articles published between January 2021 and September 2023.

Mental health chatbots are highly personalized, with a primary focus on addressing issues such as depression or anxiety within specific clinical population groups. Through the integration of Natural Language Processing (NLP) techniques and rule-based AI algorithms, these chatbots closely simulate human interactions and effectively instruct users in therapeutic techniques. While chatbots integrating CBT principles have gained widespread use and extensive research attention, some also incorporate alternative therapeutic approaches, including dialectical behavior therapy, motivational interviewing, acceptance and commitment therapy, positive psychology or mindfulness-based stress reduction. AI chatbots provide substantial advantages in terms of accessibility, cost-effectiveness and improved access to mental health support services. Nonetheless, they also exhibit limitations, including the absence of human connection, limited expertise, potential for misdiagnosis, privacy concerns, risk of bias and limitations in risk assessment accuracy.

AI-based chatbots hold the potential to enhance patient outcomes by enabling early detection and intervention in mental health issues. However, their implementation in mental health should be approached with caution. Further studies are essential to thoroughly evaluate their effectiveness and safety.

None Declared

Among the various patient experiences, cancer-related fatigue and sleep disturbances emerge as pivotal aspects that can substantially impact individuals’ quality of life. There exists a relative scarcity of research focusing on the intricate relationship between symptoms, functioning, fatigue, and sleep disturbances in colorectal cancer (CRC) patients.

In this context, the current research endeavors to apply advanced statistical methodologies to elucidate the complex relationships between symptoms, functioning, fatigue, and sleep disturbances. By exploring the intricate web of patient characteristics, clinical factors, psychosocial elements, this study aims to construct a holistic model that not only captures the nuances of colorectal cancer patients’ experiences but also uncovers potential avenues for intervention and support.

In our cross sectional study, we administered the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30), the Quality of Life Questionnaire Colorectal Cancer Module (QLQ-CR29) to 987patients who were surgically-treated for CRC from the tertiary hospital from 2013 through 2018. To confirm the relationship between symptoms of CRC patients, univariable logistic regression was used to examine the potential relationship between independent variables and the occurrence of fatigue and sleep disorders. Least Absolute Shrinkage and Selection Operator (Lasso) was used for variable selection. The selected variables were then applied to a multivariate logistic regression analysis to examine the most influential predictors of fatigue and sleep disturbance. Finally, gaussian graphical models (GGM) were used to identify potential interactions between characteristics, symptoms, functioning, with fatigue, and sleep disturbances in CRC. In this study, Directed Acyclic Graph (DAG) was used to identify causal dependancy and path of variables.

About 10.4% of study participants reported experiencing fatigue. Sleep problems were reported by 15.8% of the study participants. Multivariable logistic regression analysis using Lasso showed that sleep problem (odds ratio [OR]=2.34; 95% CI, 1.03-5.31), physical, role, and emotional functioning, pain, dyspnoea, and appetite loss were significant predictors of fatigue, while emotional functioning, dyspnoea, and appetite loss were significant predictors of sleep problem. The variables that were directly linked to fatigue were role functioning, emotional functioning, dyspnoea, appetite loss, body image and trouble with taste. The variables that were directly linked to sleep problem were emotional functioning and appetite loss.

In conclusion, there were complex relationships between symptoms, functioning, fatigue, and sleep disturbances. The symptom network of CRC patients showed different patterns toward fatigue and sleep.

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Bipolar disorder (BD) is a severe and chronic mental illness characterized by recurrent major depressive episodes and mania (BD-I) or hypomania (BD-II). In addition to the burden of the disease and its consequences, people living with BD, like many other people suffering from mental illness, must deal with their difficulty of integration which can influence their personal and professional life and consequently their quality of life (QOL).

The aim of our study is to assess the QOL among working patients with BD.

A cross-sectional study was carried out in the occupational medicine department of the Charles-Nicolle hospital in Tunisia. Sociodemographic and occupational data were collected from the medical records of patients with bipolar disorder who consulted our department during the period 2022 to 2023. and a telephonic survey was carried out to complete the SF 12 international scale, which is a general health questionnaire that consists of 12 questions which investigates the patient’s state of health via 8 different dimensions: General health perception, Physical health, Limited physical role function, Physical pain, Vitality, Mental health, Limited emotional role function and social functioning.

We enrolled a total of 46 cases where 76% with BD type 1 with an average age of 43±9 years. Most participants were female (76%) and the most frequent sectors of activity were healthcare and administration (80% and 12% respectively). BD was well balanced in 39% of cases with an average bipolar history of 7 years. The median annual absence due to psychiatric problems was 92±61 days per year. The average score was 44±18 for the General Health, 57±35 for physical health and 67±18 for mental health.

This study revealed that people living with BD’s QOL seems to be altered. Clinicians need to be attentive to the QOL of their patients, its assessment, and its empowerment in their daily clinical practice. Future work is required to establish valid strategies to fight low QOL among patients suffering from BD.

None Declared