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.

Dapaglifozin on Albuminuria in Chronic Kidney Disease Patients with FabrY Disease: The DEFY Study Design and Protocol.

Fabry disease (FD) is a rare genetic disorder caused by a deficiency in the α-galactosidase A enzyme, which results in the globotriaosylceramide accumulation in many organs, including the kidneys. Nephropathy is a major FD complication that can progress to end-stage renal disease if not treated early. Although enzyme replacement therapy and chaperone therapy are effective, other treatments such as ACE inhibitors and angiotensin receptor blockers can also provide nephroprotective effects when renal damage is also established. Recently, SGLT2 inhibitors have been approved as innovative drugs for treating chronic kidney disease. Thus, we plan a multicenter observational prospective cohort study to assess the effect of Dapagliflozin, a SGLT2 inhibitor, in FD patients with chronic kidney disease (CKD) stages 1-3. The objectives are to evaluate the effect of Dapagliflozin primarily on albuminuria and secondarily on kidney disease progression and clinical FD stability. Thirdly, any association between SGT2i and cardiac pathology, exercise capacity, kidney and inflammatory biomarkers, quality of life, and psychosocial factors will also be evaluated. The inclusion criteria are age ≥ 18; CKD stages 1-3; and albuminuria despite stable treatment with ERT/Migalastat and ACEi/ARB. The exclusion criteria are immunosuppressive therapy, type 1 diabetes, eGFR < 30 mL/min/1.73 m2, and recurrent UTIs. Baseline, 12-month, and 24-month visits will be scheduled to collect demographic, clinical, biochemical, and urinary data. Additionally, an exercise capacity and psychosocial assessment will be performed. The study could provide new insights into using SGLT2 inhibitors for treating kidney manifestations in Fabry disease.

Psychosocial determinants of healthcare use costs in kidney transplant recipients.

Introduction: Psychosocial factors frequently occur in kidney transplant recipients (KTRs), leading to behavioral alterations and reduced therapeutic adherence. However, the burden of psychosocial disorders on costs for KTRs is unknown. The aim of the study is to identify predictors of healthcare costs due to hospital admissions and emergency department access in KTRs. Methods: This is a longitudinal observational study conducted on KTRs aged >18 years, excluding patients with an insufficient level of autonomy and cognitive disorder. KTRs underwent psychosocial assessment via two interviews, namely the Mini-International Neuropsychiatric Interview 6.0 (MINI 6.0) and the Diagnostic Criteria for Psychosomatic Research Interview (DCPR) and via the Edmonton Symptom Assessment System Revised (ESAS-R) scale, a self-administrated questionnaire. Sociodemographic data and healthcare costs for hospital admissions and emergency department access were collected in the 2016-2021 period. Psychosocial determinants were as follows: (1) ESAS-R psychological and physical score; (2) symptomatic clusters determined by DCPR (illness behavior cluster, somatization cluster, and personological cluster); and (3) ICD diagnosis of adjustment disorder, anxiety disorder, and mood disorder. A multivariate regression model was used to test the association between psychosocial determinants and total healthcare costs. Results: A total of 134 KTRs were enrolled, of whom 90 (67%) were men with a mean age of 56 years. A preliminary analysis of healthcare costs highlighted that higher healthcare costs are correlated with worse outcomes and death (p < 0.001). Somatization clusters (p = 0.020) and mood disorder (p < 0.001) were positively associated with costs due to total healthcare costs. Conclusions: This study showed somatization and mood disorders could predict costs for hospital admissions and emergency department access and be possible risk factors for poor outcomes, including death, in KTRs.

Poor sleep quality may contribute to dysfunctional illness perception, physical and emotional distress in hospitalised patients: results of a national survey of the Italian Society of Consultation-Liaison Psychiatry.

Distress associated with physical illness is a well-known risk factor for adverse illness course in general hospitals. Understanding the factors contributing to it should be a priority and among them dysfunctional illness perception and poor sleep quality may contribute to it. As poor sleep quality is recognised as a major risk factor for health problems, we aimed to study its association with illness perception and levels of distress during hospitalisation. This cross-sectional study included a consecutive series of 409 individuals who were hospitalised in medical and surgical units of different hospitals located throughout the Italian national territory and required an assessment for psychopathological conditions. Sleep quality was assessed with the Pittsburgh (Sleep Quality Index), emotional and physical distress with the Edmonton Symptom Assessment System (ESAS), and illness perception with the Brief Illness Perception Questionnaire (BIPQ). Differences between groups, correlations and mediations analyses were computed. Patients with poor sleep quality were more frequently females, with psychiatric comorbidity, with higher scores in the ESAS and BIPQ. Poor sleep quality was related to dysfunctional illness perception, and to both emotional and physical distress. In particular, by affecting cognitive components of illness perception, poor sleep quality may, directly and indirectly, predict high levels of distress during hospitalisation. Poor sleep quality may affect >70% of hospitalised patients and may favour dysfunctional illness perception and emotional/physical distress.Assessing and treating sleep problems in hospitalised patients should be included in the routine of hospitalised patients.

The Italian validation of the Death and Dying Distress Scale.

OBJECTIVES: Death anxiety (DA), a condition characterized by fear, angst, or panic related to the awareness of one's own death, is commonly observed in advanced cancer patients. The aim of this study was to examine the psychometric properties of the Italian version of the Death and Dying Distress Scale (DADDS-IT) in a sample of patients with advanced cancer. METHODS: The sample included 200 Italian advanced cancer patients meeting eligibility criteria to access palliative care. Patients' levels of DA were assessed by using the DADDS-IT, while the levels of depression, anxiety, demoralization, spiritual well-being, and symptom burden were assessed using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, the Demoralization Scale, the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale, and the Edmonton Symptom Assessment System, respectively; Karnofsky Performance Status was used to measure functional impairment. Confirmatory factor analyses (CFA) of previous structures and exploratory factor analyses (EFA) were conducted. RESULTS: CFA revealed that none of the previous structures adequately fitted data from our sample. EFA revealed a 4-factor model comprising Finitude (α = 0.91), Regret (α = 0.86), Dying (α = 0.88), and Relational Burden (α = 0.73), accounting for the 77.1% of the variance. Dying subscore was higher in hospice patients than in those recruited in medical wards. SIGNIFICANCE OF RESULTS: The present study provides further evidence that DA is a condition that deserves attention and that DADDS-IT shows good psychometric properties to support its use in research and clinical settings.

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.

Suicide risk in medically ill inpatients referred to consultation-liaison psychiatric services: A multicenter study.

BACKGROUND: The aim of this multicenter study was to investigate the suicide risk in medically ill patients admitted to six Italian hospitals for whom a consultation-liaison intervention was requested. METHODS: Participants completed socio-demographic and clinical report forms and the Brief Illness Perception Questionnaire. Suicidality was assessed using the P4 screener that investigates the presence of Past suicide attempts, Plans to commit a suicide, Probability of completing suicide, and Preventive factors. Participants were categorized as being at no, low or high suicide risk. Univariate and multivariable associations of categorical and continuous variables with suicide risk were investigated using multinomial logistic regression. RESULTS: Of the 641 inpatients, with mean age 60 years (SD = 16.9) and 49.2 % male, 13.2 % were at high suicidal risk (HR), 7.6 % low risk (LR) and 79.2 % no risk. Contacts with psychiatrists in the previous six months were associated with LR and HR (OR = 2.159 and 2.634, respectively), ongoing benzodiazepine use was associated with a threefold likelihood of LR (OR = 3.005), and the experienced intensity of illness symptoms was associated with LR and HR (OR = 1.257 and OR = 1.248, respectively). CL psychiatrists prescribed appropriate psychotropic drugs and activated liaison interventions and psychological support for the level of suicidal risk. LIMITATIONS: The use of self-report measures bears the risk of recall bias. CONCLUSIONS: Our findings based on psychiatric consultations in the general hospital underscore the need to include suicide risk in the routine assessment of inpatients referred to CL psychiatric services and to plan an appropriate management of suicidal risk after discharge.

The Impact of COVID-19 Lockdowns in a Sample of Outpatients in a Mental Health Department of a Metropolitan Hospital in Milan.

Background and Objectives: Italy was the first country in Europe to face the coronavirus 2019 (COVID-19) pandemic and its consequences, which led to two phases of severe restrictions for its population. This study aims to estimate the connections between the trauma of the COVID-19 emergency and the clinical features of a sample of outpatients in a Milan Community Mental Health setting, comparing the first (April 2020) and second lockdowns (November 2020). Materials and Methods: The sample included 116 consecutive outpatients recruited in April 2020 and 116 in November 2020. The subjects were evaluated with Clinical Global Impression Severity (CGI-S), Brief Psychiatric Rating Scale (BPRS-18), and Impact of Event Scale-Revised (IES-R). Results: The IES-R identified 47.4% participants in April and 50% in November with clinical scores over the cut-off. The network analysis of BPRS-18 and IES-R depicted the connection among different symptoms; in April, Unusual Thought Content, Anxiety, and Somatic Concern represented the most central items, and the strongest connections were found between Uncooperativeness and Hostility, Blunted Affect and Emotional Withdrawal, and IES-Intrusion and IES-Arousal. In the November group, the most central items were represented by Conceptual Disorganization and Emotional Withdrawal, whereas the strongest connections were found between IES-Arousal and IES-Intrusion, Excitement and Grandiosity, and Unusual Thought Content and Conceptual Disorganization. Conclusions: Our findings show continued high distress levels and increased psychological burdens during the second phase of restrictions; this could be described as "pandemic fatigue", a general psychological weariness due to pandemic-related restrictions, as well as a lack of motivation to comply with them. As mental health professionals, our mission during these difficult times has been to keep community psychiatry services accessible, with particular regard to vulnerable and marginalized populations.

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.

Depressive symptom complexes of community-dwelling older adults: a latent network model.

Late-life depression has multiple, heterogeneous clinical presentations. The aim of the study was to identify higher-order homogeneous clinical features (symptom complexes), while accounting for their potential causal interactions within the network approach to psychopathology. We analyzed cross-sectional data from community-dwelling adults aged 65-85 years recruited by the European MentDis_ICF65+ study (n = 2623, mean age 74, 49% females). The severity of 33 depressive symptoms was derived from the age-adapted Composite International Diagnostic Interview. Symptom complexes were identified using multiple detection algorithms for symptom networks, and their fit to data was assessed with latent network models (LNMs) in exploratory and confirmatory analyses. Sensitivity analyses included the Partial Correlation Likelihood Test (PCLT) to investigate the data-generating structure. Depressive symptoms were organized by the Walktrap algorithm into eight symptom complexes, namely sadness/hopelessness, anhedonia/lack of energy, anxiety/irritability, self-reproach, disturbed sleep, agitation/increased appetite, concentration/decision making, and thoughts of death. An LNM adequately fit the distribution of individual symptoms' data in the population. The model suggested the presence of reciprocal interactions between the symptom complexes of sadness and anxiety, concentration and self-reproach and between self-reproach and thoughts of death. Results of the PCLT confirmed that symptom complex data were more likely generated by a network, rather than a latent-variable structure. In conclusion, late-life depressive symptoms are organized into eight interacting symptom complexes. Identification of the symptom complexes of late-life depression may streamline clinical assessment, provide targets for personalization of treatment, and aid the search for biomarkers and for predictors of outcomes of late-life depression.

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.

Insomnia symptoms are associated with impaired resilience in bipolar disorder: Potential links with early life stressors may affect mood features and suicidal risk.

AIM: The study aimed to investigate resilience and its association with early exposure to stressful events on the clinical manifestations of bipolar disorders (BDs), such as severity of mood symptoms, suicidal ideation and behaviors focusing on the possible role of insomnia symptoms. METHOD: A sample of 188 adult participants with BD of type I or II were assessed during depressed phase using the Structural Clinical Interview for DSM-5 (SCID-5), the Beck Depression Inventory-II (BDI-II), the Young Mania Rating Scale (YMRS), the Early Trauma Inventory Self Report-Short Form (ETISR-SF), Resilience Scale for Adults (RSA), the Insomnia Severity Index (ISI) and the Scale for Suicide Ideation (SSI). Participants with or without clinically significant insomnia were compared and we carried out correlations, regression and mediation analyses. RESULTS: Participants with insomnia showed a greater severity of depressive symptoms as well as of suicidal risk, early life stressors and lower level of resilience. Insomnia symptoms mediated the association between early life stress and low resilience, between low resilience in planning future and depressive symptoms (Z = 2.17, p = 0.029) and low resilience and suicidal risk (Z = 3.05, p = 0.0002) CONCLUSION: Insomnia may be related to the severity of BDs, to higher early life stressors and lower level of resilience. Assessing and targeting insomnia symptoms may potentially promote resilience in BDs in response to early life stressful events. These results should be interpreted in light of several limitations including the cross-sectional design affecting causal interpretations.

Exploring the Level of Post Traumatic Growth in Kidney Transplant Recipients via Network Analysis.

Although kidney transplant can lead to psychiatric disorders, psychosocial syndromes and demoralization, a positive post-traumatic growth (PTG) can occur in kidney transplant recipients (KTRs). However, the PTG-Inventory (PTGI), a reliable tool to measure PTG is scarcely used to explore the effect of this stressful event in KTRs. Thus, the purpose of our study was to assess the level of PTG and its correlation with demoralization, physical and emotional symptoms or problems via network analysis in KTRs. Additionally, we aimed at exploring the association of PTG with psychiatric diagnoses, Diagnostic Criteria for Psychosomatic Research (DCPR) conditions, and medical variables. A total of 134 KTRs were tested using MINI International Neuropsychiatric Interview 6.0 (MINI 6.0), DCPR interview, PTGI, Edmonton Symptom Assessment System (ESAS), Canadian Problem Checklist (CPC) and Demoralization scale (DS-IT). PTGI was used to investigate the positive psychological experience of patients after KT. It consists of 21 items divided in five factors. Routine biochemistry, immunosuppressive agents, socio-demographic and clinical data were collected. A symptom network analysis was conducted among PTGI, ESAS and DS-IT. Mean score of PTGI total of sample was 52.81 ± 19.81 with higher scores in women (58.53 ± 21.57) than in men (50.04 ± 18.39) (p < 0.05). PTGI-Relating to Others (16.50 ± 7.99) sub-score was markedly higher than other PTGI factor sub-scores. KTRs with DCPR-alexithymia or International Classification of Diseases, tenth revision (ICD-10) anxiety disorders diagnosis had lower PTGI total score and higher PTGI-Personal Strength sub-score, respectively (p < 0.05). The network analysis identified two communities: PTGI and ESAS with DS-IT. DS-IT Disheartenment, DS-IT Hopelessness and PTGI Relating to Others were the most central items in the network. After 1000 bootstrap procedures, the Exploratory graph analysis revealed the presence of a median of two communities in the network in 97.5% of the bootstrap iterations. A more extensive use of PTGI should be encouraged to identify and enhance the positive psychological changes after KT.

Mortality from cancer in people with severe mental disorders in Emilia Romagna Region, Italy.

OBJECTIVE: To examine cancer-related mortality in patients with severe mental disorders (SMI) in the Emilia Romagna (ER) Region, Northern Italy, during the period 2008-2017 and compare it with the regional population. METHODS: We used the ER Regional Mental Health Registry identifying all patients aged ≥18 years who had received an ICD-9CM system diagnosis of SMI (i.e., schizophrenia or other functional psychosis, mania, or bipolar affective disorders) during a 10-year period (2008-2017). Information on deaths (date and causes of death) were retrieved through the Regional Cause of Death Registry. Comparisons were made with the deaths and cause of deaths of the regional population over the same period. RESULTS: Amongst 12,385 patients suffering from SMI (64.1% schizophrenia spectrum and 36.9% bipolar spectrum disorders), 24% (range 21%-29%) died of cancer. In comparison with the general regional population, the mortality for cancer was about 50% higher among patients with SMI, irrespective if affected by schizophrenia or bipolar disorders. As for the site-specific cancers, significant excesses were reported for stomach, central nervous system, respiratory, and pancreas cancer with a variability according to psychiatric diagnosis and gender. CONCLUSIONS: Patients suffering from SMI had higher mortality risk than the regional population with some differences according to cancer type, gender, and psychiatric diagnosis. Proper cancer preventive and treatment interventions, including more effective risk modification strategies (e.g., smoking cessation, dietary habits) and screening for cancer, should be part of the agenda of all mental health departments in conjunction with other health care organizations, including psycho-oncology.

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.

From Distress Screening to Uptake: An Italian Multicenter Study of Cancer Patients.

INTRODUCTION: Little consideration is given to the referral and uptake of available supportive services after distress screening. However, identifying the reasons for accepting or refusing help is mandatory for implementing a screening policy. The present study explored the practical usefulness of and potential barriers to the application of distress management. METHODS: 406 cancer patients were consecutively selected and asked to complete the Distress Thermometer (DT) and Problem Check List (PL). All patients with a DT score ≥6 were invited for a post-DT telephone interview with a trained psychologist. RESULTS: The 112 patients who refused to take part were more often older, retired, at a more advanced stage of illness, and with no previous experience of psychological intervention with respect to those who accepted. Of the 78 patients with a score ≥6 who were referred to the Psycho-Oncology Service, 65.4% accepted the telephone interview. Twenty-two patients rejected the initial invitation immediately for various reasons including logistic difficulties, physical problems, and feeling embarrassed about opening up to a psychologist. CONCLUSIONS: Our study confirms that screening per sé is insufficient to deal with the problem of distress and that more emphasis should be placed on implementing referral and treatment.

Post-traumatic Stress Symptoms and Serotonin Transporter (5-HTTLPR) Polymorphism in Breast Cancer Patients.

Introduction: Post-traumatic Symptoms (PTSS) and Post-traumatic Stress Disorder (PTSD) have been reported to affect a quite significant proportion of cancer patients. No study has examined the relationship between serotonin transporter gene-linked polymorphic region (5-HTTLPR) and cancer, including Gene-Environment interactions between this polymorphism and specific causes of distress, such as cancer related problems (CRP) or life stressful events (SLE). Methods: One hundred and forty five breast cancer outpatients participated in the study and were assessed using the Impact of Event Scale (IES), the Problem List (PL) developed by the National Comprehensive Cancer Network (NCCN) Distress Management Guidelines and the Paykel's Life Events Interview to evaluate the exposure to SLE during the year before the cancer diagnosis. Each patient was genotyped for 5-HTTLPR polymorphism by analyzing genomic DNA obtained from whole blood cells. Gene-Environment interactions were tested through moderation analysis. Results: Twenty-six patients (17.7%) were classified as PTSS cases using the IES. Genotype and phenotype distributions did not differ across individuals with/without PTSS (genotype: χ2 = 1.5; df = 2; p = 0.3; phenotype χ2 = 0.9; df = 1; p = 0.2). For both the genotype and phenotype model, using CRP as a predictor showed significant gene-environment interactions with IES total score (p = 0.020 and p = 0.004, respectively), with individuals carrying the l/l allele showing a greater probability of experiencing PTSS. No interaction was found in relationship to SLE (p = 0.750). Conclusion: This study showed a significant GEI between CRP and PTSS in breast cancer patients, with carriers of the l/l allele showing indicators consistent with greater sensitivity to stress.