Dimensions and predictors of clinical and personal recovery in first-episode psychoses: Results from a cross-sectional study.

INTRODUCTION: First episode psychosis (FEP) services ensure higher recovery rates compared to usual care. The aim of this study was to investigate the different dimensions of recovery and its predictors. METHODS: This cross-sectional study recruited within those admitted to the Ferrara FEP service since 2012 that at the time of analysis were still receiving psychiatric care. At admission, demographic, social and clinical information were collected. In September 2022, patients were assessed with the Health of the Nation Outcome Scale to evaluate clinical/functional recovery, the Recovery Assessment Scale to evaluate personal recovery, and the G12 item of the Positive and Negative Syndrome Scale to evaluate insight. Patients in recovery were compared to those not in recovery by bivariate analyses. Adjusted logistic regressions were performed to investigate predictors of recovery. RESULTS: Within 141 admitted, and 105 still receiving care, 54 patients completed the assessment. Most (51.9%) were in clinical/functional, 61.1% in personal recovery, and 38.8% both. Psychiatric hospitalization positively predicted clinical/functional recovery, whereas being prescribed oral antipsychotics was a negative predictor. Personal recovery was predicted by male sex and showed a negative association with overall severity of symptomatology. Those in personal recovery were more likely to have been prescribed long-acting antipsychotics, but this was not significant in the multivariable analysis. Poor insight negatively predicted clinical/functional recovery but had no impact on personal recovery. CONCLUSION: Our findings confirm that clinical/functional and personal recovery are semi-independent dimensions and not always overlap. Further research is needed to promote interventions targeted at all recovery dimensions.

Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review.

OBJECTIVE: Electroconvulsive therapy (ECT) is one of the most studied and validated available treatments for severe or treatment-resistant depression. However, little is known about the neural mechanisms underlying ECT. This systematic review aims to critically review all structural magnetic resonance imaging studies investigating longitudinal cortical thickness (CT) changes after ECT in patients with unipolar or bipolar depression. METHODS: We performed a search on PubMed, Medline, and Embase to identify all available studies published before April 20, 2023. A total of 10 studies were included. RESULTS: The investigations showed widespread increases in CT after ECT in depressed patients, involving mainly the temporal, insular, and frontal regions. In five studies, CT increases in a non-overlapping set of brain areas correlated with the clinical efficacy of ECT. The small sample size, heterogeneity in terms of populations, comorbidities, and ECT protocols, and the lack of a control group in some investigations limit the generalisability of the results. CONCLUSIONS: Our findings support the idea that ECT can increase CT in patients with unipolar and bipolar depression. It remains unclear whether these changes are related to the clinical response. Future larger studies with longer follow-up are warranted to thoroughly address the potential role of CT as a biomarker of clinical response after ECT.

Action prediction in psychosis.

Aberrant motor-sensory predictive functions have been linked to symptoms of psychosis, particularly reduced attenuation of self-generated sensations and misattribution of self-generated actions. Building on the parallels between prediction of self- and other-generated actions, this study aims to investigate whether individuals with psychosis also demonstrate abnormal perceptions and predictions of others' actions. Patients with psychosis and matched controls completed a two-alternative object size discrimination task. In each trial, they observed reaching actions towards a small and a large object, with varying levels of temporal occlusion ranging from 10% to 80% of movement duration. Their task was to predict the size of the object that would be grasped. We employed a novel analytic approach to examine how object size information was encoded and read out across progressive levels of occlusion with single-trial resolution. Patients with psychosis exhibited an overall pattern of reduced and discontinuous evidence integration relative to controls, characterized by a period of null integration up to 20% of movement duration, during which they did not read any size information. Surprisingly, this drop in accuracy in the initial integration period was not accompanied by a reduction in confidence. Difficulties in action prediction were correlated with the severity of negative symptoms and impaired functioning in social relationships.

Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study.

Background: The immediate use of data exported from electronic health records (EHRs) for research is often limited by the necessity to transform data elements into an actual data set. Objective: This paper describes the methodology for establishing a data set that originated from an EHR registry that included clinical, health service, and sociodemographic information. Methods: The Extract, Transform, Load process was applied to raw data collected at the Integrated Department of Mental Health and Pathological Addictions in Ferrara, Italy, from 1925 to February 18, 2021, to build the new, anonymized Ferrara-Psychiatry (FEPSY) database. Information collected before the first EHR was implemented (ie, in 1991) was excluded. An unsupervised cluster analysis was performed to identify patient subgroups to support the proof of concept. Results: The FEPSY database included 3,861,432 records on 46,222 patients. Since 1991, each year, a median of 1404 (IQR 1117.5-1757.7) patients had newly accessed care, and a median of 7300 (IQR 6109.5-9397.5) patients were actively receiving care. Among 38,022 patients with a mental disorder, 2 clusters were identified; the first predominantly included male patients who were aged 25 to 34 years at first presentation and were living with their parents, and the second predominantly included female patients who were aged 35 to 44 years and were living with their own families. Conclusions: The process for building the FEPSY database proved to be robust and replicable with similar health care data, even when they were not originally conceived for research purposes. The FEPSY database will enable future in-depth analyses regarding the epidemiology and social determinants of mental disorders, access to mental health care, and resource utilization.

Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population.

Several biopsychosocial factors are associated with the onset of a Major Depressive Episode (MDE) after cardiovascular events. However, little is known of the interaction between trait- and state-like symptoms and characteristics and their role in predisposing cardiac patients to MDEs. Three hundred and four subjects were selected among patients admitted for the first time at a Coronary Intensive Care Unit. Assessment comprised personality features, psychiatric symptoms and general psychological distress; the occurrences of MDEs and Major Adverse Cardiovascular Events (MACE) were recorded during a two-year follow-up period. Network analyses of state-like symptoms and trait-like features were compared between patients with and without MDEs and MACE during follow-up. Individuals with and without MDEs differed in sociodemographic characteristics and baseline depressive symptoms. Network comparison revealed significant differences in personality features, not state-like symptoms: the group with MDEs displayed greater Type D personality traits and alexithymia as well as stronger associations between alexithymia and negative affectivity (edge differences between negative affectivity and difficulty identifying feelings was 0.303, and difficulty describing feelings was 0.439). The vulnerability to depression in cardiac patients is associated with personality features but not with state-like symptoms. Personality evaluation at the first cardiac event may help identify individuals more vulnerable to development of an MDE, and they could be referred to specialist care in order to reduce their risk.

The facets of psychopathology in patients with cancer: Cross-sectional and longitudinal network analyses.

OBJECTIVE: Cancer patients display heterogeneous psychopathology, comprising depressive, anxiety, hostility, and somatic symptoms. Often, clinical pictures evolve over time deteriorating the individual functioning and prognosis. Network models can reveal the relationships between symptoms, thus providing clinical insights. METHOD: This study examined data of the Brief Symptom Inventory and the Distress Thermometer, from 1108 cancer outpatients. Gaussian Graphical Models were estimated using regularized and non-regularized Bayesian methods. In addition, we used community detection methods to identify the most relevant symptom groupings, and longitudinal network analyses on 515 participants to examine the connections between symptoms over three months. RESULTS: The network models derived from baseline data suggested symptoms clustered into three main complexes (depression/anxiety, hostility, and somatic symptoms). Symptoms related to depression and hostility were highly connected with suicidal and death thoughts. Faintness, weakness, chest pain, and dyspnoea, among somatic symptoms, were more strongly connected with psychopathological features. Longitudinal analyses revealed that sadness, irritability, nervousness, and tension predicted each other. Panic and death thoughts predicted fearfulness and faintness. CONCLUSIONS: Somatic symptoms, sadness, irritability, chronic and acute anxiety interact between each other, shaping the heterogeneous clinical picture of distress in cancer. This study, strengthened by robust methods, is the first to employ longitudinal network analyses in cancer patients. Further studies should evaluate whether targeting specific symptoms might prevent the onset of chronic distress and improve clinical outcomes in cancer patients.

Violence Against Physicians in the Workplace: Trends, Causes, Consequences, and Strategies for Intervention.

PURPOSE: Violence against healthcare professionals has become an emergency in many countries. Literature in this area has mainly focused on nurses while there are less studies on physicians, whose alterations in mental health and burnout have been linked to higher rates of medical errors and poorer quality of care. We summarized peer-reviewed literature and examined the epidemiology, main causes, consequences, and areas of intervention associated with workplace violence perpetrated against physicians. RECENT FINDINGS: We performed a review utilizing several databases, by including the most relevant studies in full journal articles investigating the problem. Workplace violence against doctors is a widespread phenomenon, present all over the world and related to a number of variables, including individual, socio-cultural, and contextual variables. During the COVID-19 pandemic, incidence of violence has increased. Data also show the possible consequences in physicians' deterioration of quality of life, burnout, and traumatic stress which are linked to physical and mental health problems, which, in a domino effect, fall on patients' quality of care. Violence against doctors is an urgent global problem with consequences on an individual and societal level. This review highlights the need to undertake initiatives aimed at enhancing understanding, prevention, and management of workplace violence in healthcare settings.

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment.

PURPOSE OF REVIEW: This review will cover the most relevant findings on the use of machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the studies published in the last three years focusing on illness detection and treatment. RECENT FINDINGS: Multiple ML tools that include mostly supervised approaches such as support vector machine, gradient boosting, and random forest showed promising results by applying these algorithms to various sources of data: socio-demographic information, EEG, language, digital content, blood biomarkers, neuroimaging, and electronic health records. However, the overall performance, in the binary classification case, varied from 0.49, which is to be considered very low (i.e., noise), to over 0.90. These results are fully justified by different factors, some of which may be attributable to the preprocessing of the data, the wide variety of the data, and the a-priori setting of hyperparameters. One of the main limitations of the field is the lack of stratification of results based on biological sex, given that psychosis presents differently in men and women; hence, the necessity to tailor identification tools and data analytic strategies. Timely identification and appropriate treatment are key factors in reducing the consequences of psychotic disorders. In recent years, the emergence of new analytical tools based on artificial intelligence such as supervised ML approaches showed promises as a potential breakthrough in this field. However, ML applications in everyday practice are still in its infancy.

Cognitive functioning as predictor and marker of response to repetitive transcranial magnetic stimulation in depressive disorders: A systematic review.

OBJECTIVE: Cognitive performance in Major Depressive Disorder (MDD) is frequently impaired and related to functional outcomes. Repetitive Transcranial Magnetic Stimulation (rTMS) may exert its effects on MDD acting both on depressive symptoms and neurocognition. Furthermore, cognitive status could predict the therapeutic response of depressive symptoms to rTMS. However, cognitive performances as a predictor of rTMS response in MDD has not been thoroughly investigated. This review aims to evaluate the role of pre-treatment cognitive performance as a predictor of clinical response to rTMS, and the effects of rTMS on neurocognition in MDD. METHOD: A systematic review of studies evaluating neurocognition in MDD as an outcome and/or predictor of response to rTMS was conducted using PubMed/Medline and Embase. RESULTS: Fifty-eight articles were identified: 25 studies included neurocognition as a predictor of response to rTMS; 56 used cognitive evaluation as an outcome of rTMS. Baseline cognitive performance and cognitive improvements after rTMS predicted clinical response to rTMS. Moreover, rTMS improved cognition in MDD. CONCLUSIONS: Cognitive assessment could predict improvement of depression in MDD patients undergoing rTMS and help selecting patients that could have beneficial effects from rTMS. A routine cognitive assessment might stratify MDD patients and track rTMS related cognitive improvement.

Changes of consultation-liaison psychiatry practice in Italian general hospitals: A comparative 20-year multicenter study.

Introduction: Conducted under the auspices of the Italian Society of Consultation Liaison Psychiatry (SIPC) the aim of this study was to describe the characteristics of Consultation Liaison Psychiatry (CLP) activity in Italy (SIPC-2-2018) over the past 20 years by comparing with data from the first Italian nation-wide study (SIPC-1-1998). Methods: We collected data on CLP visits of 3,943 patients from 10 Italian hospitals over a period of 1 year. Data were compared with those from the SIPC-1 1998 study (4,183 participants). Patients were assessed with the same ad hoc 60-item Patient Registration Form recording information from five different areas: Sociodemographic, hospitalization-related, consultation-related, interventions and outcome. Results: Compared with participants from the previous study, SIPC-2-2018 participants were significantly older (d = 0.54) and hospitalized for a longer duration (d = 0.20). The current study detected an increase in the proportion of referrals from surgical wards and for individuals affected by onco-hematologic diseases. Depressive disorders still represented the most frequent psychiatric diagnosis, followed by adjustment and stress disorders and delirium/dementia. Also, CLP psychiatrists prescribed more often antidepressants (Φ = 0.13), antipsychotics (Φ = 0.09), mood stabilizers (Φ = 0.24), and less often benzodiazepines (Φ = 0.07). Conclusion: CLP workload has increased considerably in the past 20 years in Italy, with changes in patient demographic and clinical characteristics. A trend toward increase in medication-based patient management was observed. These findings suggest that the psychiatric needs of patients admitted to the general hospital are more frequently addressed by referring physicians, although Italian CLP services still deserve better organization and autonomy.

Debating Euthanasia and Physician-Assisted Death in People with Psychiatric Disorders.

PURPOSE OF REVIEW: Over the last 30 years, medical assistance in dying (MAiD) including euthanasia (EU) and physician-assisted death (or suicide, PAS) has become the center of a large debate, particularly when these practices have involved people with psychiatric illness, including resistant depression, schizophrenia, personality, or other severe psychiatric disorders. We performed a review utilizing several databases, and by including the most relevant studies in full journal articles investigating the problem of MAiD in patients with psychiatric disorders but not in physical terminal conditions (non-terminal, MAiD-NT). RECENT FINDINGS: Literature has shown that a small percentage of people with psychiatric disorders died by MAiD-NT in comparison with patients with somatic diseases in terminal clinical conditions (e.g., cancer, AIDS). However, the problem in the field is complex and not solved yet as confirmed by the fact that only a few countries (e.g., the Netherlands, Belgium, Luxemburg) have legalized MAiD-NT for patients with psychiatric disorders, while most have maintained the practices accessible only to people with somatic disease in a terminal phase. Also, how to make objective the criterion of irremediability of a mental disorder; how to balance suicide prevention with assisted suicide; how to avoid the risk of progressively including in requests for MAiD-NT vulnerable segments of the population, such as minors, elderly, or people with dementia, in a productive-oriented society, are some of the critical points to be discussed. The application of MAiD-NT in people with psychiatric disorders should be further explored to prevent end-of-life rights from contradicting the principles of recovery-oriented care.

The screen for cognitive impairment in psychiatry in patients with borderline personality disorder.

Cognitive deficits are common in borderline personality disorder (BPD) and appear to be associated with psychopathology, functioning and outcome. The availability of a cognitive screening instrument could be of use in clinical settings in order to assess neurocognition in BPD patients. The Screen for Cognitive Impairment for Psychiatry (SCIP) proved to be reliable in different psychiatric populations, but it has not yet been validated in personality disorders. The purpose of this study is therefore to evaluate its psychometric properties in a sample of 58 BPD patients. The SCIP was validated against the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and the Trail Making Test A and B (TMT A and B). The receiver operator curve analysis displayed an acceptable convergent validity (total score AUC: 0.78, 95% CI: 0.70-0.86; Se: 75%, Sp: 72%). A cut-off total score of 80 identified 81% of patients as cognitively impaired. The exploratory factor analysis displayed a one-factor solution explaining 55.8% of the total variance. The SCIP displayed adequate psychometric properties in BPD and could be integrated in the routine clinical assessment to provide a preliminary evaluation of cognitive features for BPD.

Insomnia and circadian sleep disorders in ovarian cancer: Evaluation and management of underestimated modifiable factors potentially contributing to morbidity.

Ovarian cancer is the leading cause of gynaecological cancer deaths and the seventh most commonly diagnosed cancer among women worldwide, so that, as it is related to substantial and increasing disease burden, the management of ovarian cancer survivors should be a priority. Such issues involve prevention and management of emotional distress, anxiety/depressive symptoms, and maintenance of quality of life from initial diagnosis to post-treatment. Within this framework, sleep disturbances, in particular insomnia, are emerging as modifiable determinants of mental health, also contributing to substantial morbidity among cancer, including ovarian cancer. To this aim we conducted a systematic review according to PRISMA guidelines on prevalence and management of insomnia and circadian sleep disorders in ovarian cancer, while selecting 22 papers. Insomnia was evaluated in ovarian cancer and, while circadian sleep disturbances were poorly assessed in ovarian cancer, insomnia increased from 14% to 60% of patients. Insomnia was associated with cancer-related comorbid conditions such as emotional distress, anxiety/depressive symptoms and low quality of life. Despite this evidence, no studies have been conducted about insomnia treatment in ovarian cancer. The burden of insomnia and circadian sleep disorders in patients with ovarian cancer still needs to be addressed, and requires a call to action for the evaluation and management of these potential modifiable factors that might contribute to ovarian cancer morbidity.

Reflecting on meaning in an existential-reorientation group psychotherapy approach for cancer patients: A qualitative thematic analysis.

OBJECTIVE: The objectives of this study were to evaluate, in the Italian cultural context, breast cancer patients' main meaning themes related to the experience of the disease, on the one side, and to be part of an existentially oriented group intervention, on the other. METHOD: A short reorientation-existential (RET) group intervention, structured by using some tools and background from cognitive analytic therapy (CAT) and based on the meaning-centered psychotherapy (MCP) existential framework, was delivered to 29 breast cancer patients. The sessions were audio-recorded and transcribed verbatim, with the narratives from reflective exercises (meaning of the journey cancer, meaning of the journey of intervention) uploaded to computer software NVivo 11. Analysis of the transcripts emerged from reflective exercises on the personal meaning of cancer and the letters of meaning (goodbye letter) written by the patients to express the meaning of their experience in the group was conducted through the interpretative phenomenological analysis (IPA) framework. RESULTS: Four superordinate themes were identified in the exercise meaning of the experience of cancer, namely "sense of stigma and loneliness (the foreigner)," "guilt (unjust guilt and anticipatory guilt)," "reconsidering one's own life and nostalgia," and "rebirth (a new life, life after life)." Three superordinate themes were found in the meaning of the group experience in the letters, namely "togetherness and gratitude," "legacy," and "acceptance." SIGNIFICANCE OF RESULTS: The study confirmed that a short group intervention, based on the existentially oriented framework and delivered in a public clinical healthcare setting, was enriched by focusing on the personal meaning of cancer. Some themes, such as loneliness, nostalgia, and rebirth, emerged during reflection giving, in written letters to participants, the sense of the group therapeutic experience.

Knowledge about risk factors for cancer and cancer risk behavior among patients with severe mental illness.

OBJECTIVE: To examine knowledge about, perception of and current risk factors for cancer, among patients with severe mental illness (SMI) and to compare these variables with patients without SMI. METHODS: A series of patients affected by SMI (i.e., schizophrenia spectrum disorders, bipolar disorders and severe personality disorders) and a matched (gender, age) control group of primary care attenders were assessed, by using an ad hoc semi-structured interview and a short true/false 17-item questionnaire, about family history of cancer, cancer risk-related lifestyles, personal perception and knowledge of risk for cancer. RESULTS: Patients with SMI (n = 185, mainly schizophrenia spectrum disorders, 48%, and mood disorders, 33%) significantly differed from primary care attenders (n = 173) for: lower participation to occult stool blood screening test, Pap smear test and mammography; higher prevalence of current and past smoking habits; lower awareness towards their own physical symptoms and their perception of risks for cancer; lower physical exercise practicing; lower knowledge about risk factors for cancer (e.g. familiarity for cancer, smoke-habits, breast and uterine cancer). CONCLUSIONS: Patients suffering from SMI had higher at-risk behavior for cancer and showed fewer concerns and less knowledge about risk for cancer than primary care attendees. These findings can guide to implement screening for cancer (e.g., Pap test, blood) and to design evidence-based interventions to reduce cancer risk (e.g., educational and behavioral change for smoking cessation, dietary habits) among patients with SMI.

Post-traumatic stress symptoms in long-term disease-free cancer survivors and their family caregivers.

BACKGROUND: The experience of cancer is highly stressful and potentially traumatic. We assessed the presence of Post-Traumatic Stress Symptoms (PTSS) in long-term cancer survivors and their caregivers, while examining the association between PTSS and clinical, demographic and psychological variables in the long term. METHODS: In this cross-sectional study 212 survivor-family caregiver dyads completed measures of post-traumatic stress symptoms (PTSS) (Impact of Event Scale), depression and anxiety (Hospital Anxiety Depression Scale). Coping strategies, fatigue, cognitive decline, stressful life events and psychopathological history were also assessed among survivors. Data were analyzed using mixed models, accounting both for individual and dyadic effects. RESULTS: Cancer survivors and their caregivers were assessed after a mean of 6 years after treatment. Twenty per cent of survivors and 35.5% of caregivers had possible posttraumatic stress disorder (PTSD), while 23 patients (11.0%) and 33 caregivers (15.6%) had probable PTSD. Among cancer patients, the severity of post-traumatic symptoms was associated with an anxious coping style, previous psychopathology and depression (p < 0.001), whereas among caregivers it was associated with depression and having a closer relationship with patients (p < 0.001). Patients' depression was associated with caregivers' intrusion symptoms. CONCLUSIONS: High levels of cancer-related PTSS were still present several years after treatment in both survivors and caregivers. Psychopathology may derive from complex interactions among coping, previous disorders and between-person dynamics.

The Relationship Between Cognitive Abilities and Trait Clinical Features in Patients With Borderline Personality Disorder.

Very few studies have focused on the relationship between cognitive functions and clinical features in borderline personality disorder (BPD). Subjects with BPD and healthy controls were administered the Repeatable Battery for the Assessment of Neuropsychological Status, Trail Making Test A and B, and the Wisconsin Card Sorting Test. The Brief Symptom Inventory (BSI-53) was used to assess the severity of current symptoms. Attachment style was assessed with the Experiences in Close Relationship Questionnaire, identity integration with the Personality Structure Questionnaire, and other domains of personality dysfunction with the RUDE Scale for Personality Dysfunction. Patients with BPD performed significantly worse than healthy controls in all cognitive domains. Cognitive functions, particularly delayed memory and visuospatial abilities, displayed meaningful associations with trait-like clinical features, above the effect of global cognition and state psychopathology. These findings highlight the need to evaluate effects of cognitive rehabilitation on trait features among individuals with BPD.

Physical Activity Promotes Health and Reduces Cardiovascular Mortality in Depressed Populations: A Literature Overview.

Major depression is associated with premature mortality, largely explained by heightened cardiovascular burden. This narrative review summarizes secondary literature (i.e., reviews and meta-analyses) on this topic, considering physical exercise as a potential tool to counteract this alarming phenomenon. Compared to healthy controls, individuals with depression consistently present heightened cardiovascular risk, including "classical" risk factors and dysregulation of pertinent homeostatic systems (immune system, hypothalamic-pituitary-adrenal axis and autonomic nervous system). Ultimately, both genetic background and behavioral abnormalities contribute to explain the link between depression and cardiovascular mortality. Physical inactivity is particularly common in depressed populations and may represent an elective therapeutic target to address premature mortality. Exercise-based interventions, in fact, have proven effective reducing cardiovascular risk and mortality through different mechanisms, although evidence still needs to be replicated in depressed populations. Notably, exercise also directly improves depressive symptoms. Despite its potential, however, exercise remains under-prescribed to depressed individuals. Public health may be the ideal setting to develop and disseminate initiatives that promote the prescription and delivery of exercise-based interventions, with a particular focus on their cost-effectiveness.

The relationship between demoralization and depressive symptoms among patients from the general hospital: network and exploratory graph analysis.

INTRODUCTION: Depression and demoralization are highly prevalent among individuals with physical illnesses but their relationship is still unclear. OBJECTIVE: To examine the relationship between clinical features of depression and demoralization with the network approach to psychopathology. METHODS: Participants were recruited from the medical wards of a University Hospital in Italy. The Demoralization Scale (DS) was used to assess demoralization, while the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms. The structure of the depression-demoralization symptom network was examined and complemented by the analysis of topological overlap and Exploratory Graph Analysis (EGA) to identify the most relevant groupings (communities) of symptoms and their connections. The stability of network models was estimated with bootstrap procedures and results were compared with factor analysis. RESULTS: Life feeling pointless, low mood/discouragement, hopelessness and feeling trapped were among the most central features of the network. EGA identified four communities: (1) Neurovegetative Depression, (2) Loss of purpose, (3) Frustrated Isolation and (4) Low mood and morale. Loss of purpose and low mood/morale were largely connected with other communities through anhedonia, hopelessness and items related to isolation and lack of emotional control. Results from EGA displayed good stability and were comparable to those from factor analysis. LIMITATIONS: Cross-sectional design; sample heterogeneity CONCLUSIONS: Among general hospital inpatients, features of depression and demoralization are independent, with the exception of low mood and self-reproach. The identification of symptom groupings around entrapment and helplessness may provide a basis for a dimensional characterization of depressed/demoralized patients, with possible implications for treatment.