PurposeTo investigate the perception of dignity among patients hospitalized in a psychiatric setting using the Patient Dignity Inventory (PDI), which had been first validated in oncologic field among terminally ill patients.Patients and methodsAfter having modified two items, we administered the Italian version of PDI to all patients hospitalized in a public psychiatric ward (Service of Psychiatric Diagnosis and Treatment of a northern Italian town), who provided their consent and completed it at discharge, from October 21, 2015 to May 31, 2016. We excluded minors and patients with moderate/severe dementia, with poor knowledge of Italian language, who completed PDI in previous hospitalizations and/or were hospitalized for <72 hours. We collected the demographic and clinical variables of our sample (n=135). We statistically analyzed PDI scores, performing Cronbach’s alpha coefficient and principal factor analysis, followed by orthogonal and oblique rotation. We concomitantly administered to our sample other scales (Hamilton Rating Scales for Depression and Anxiety, Global Assessment of Functioning and Health of the Nation Outcome Scales) to analyze the PDI concurrent validity.ResultsWith a response rate of 93%, we obtained a mean PDI score of 48.27 (±19.59 SD) with excellent internal consistency (Cronbach’s alpha coefficient =0.93). The factorial analysis showed the following three factors with eigenvalue >1 (Kaiser’s criterion), which explained >80% of total variance with good internal consistency: 1) “Loss of self-identity and social role”, 2) “Anxiety and uncertainty for future” and 3) “Loss of personal autonomy”. The PDI and the three-factor scores were statistically significantly positively correlated with the Hamilton Scales for Depression and Anxiety but not with other scale scores.ConclusionOur preliminary research suggests that PDI can be a reliable tool to assess patients’ dignity perception in a psychiatric setting, until now little investigated, helping professionals to improve quality of care and patients to accept treatments.

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Background: The recovery model in mental health care emphasizes users’ right to be involved in key decisions of their care, including choice of one’s primary mental health professional (PMHP). Aims: The aim of this article was to provide a scoping review of the literature on the topic of users’ choice, request of change and preferences for the PMHP in community mental health services. Method: A search of the PubMed, Cochrane Library, Web of Science and PsycINFO for papers in English was performed. Additional relevant research articles were identified through the authors’ personal bibliography. Results: A total of 2,774 articles were screened and 38 papers were finally included. Four main aspects emerged: (1) the importance, for users, to be involved in the choice of their PMHP; (2) the importance, for users, of the continuity of care in the relationship with their PMHP; (3) factors of the user/PMHP dyad influencing users’ preferences; and (4) the effect of choice on the treatment outcomes. Conclusion: While it is generally agreed that it is important to consider users’ preferences in choosing or requesting to change their PMHP, little research on this topic is available. PMHPs’ and other stakeholders’ views should also be explored in order to discuss ethical and practical issues.

Sclauzero P., Galli G., Barbati G., Carraro M., Panzetta G.O. (2013). Role of components of frailty on quality of life in dialysis patients: A cross-sectional study. Journal of Renal Care 39(2), 96-102. S U M M A R YBackground: Many people on dialysis suffer a variety of conditions that can affect frailty (the condition or quality of being frail), such as comorbidities, disabilities, dependence, malnutrition, cognitive impairment and poor social conditions. Frailty is suspected to affect quality of life (QoL).Objectives: The study aimed to evaluate the effect of the different components of frailty on the QoL of people on dialysis. Methods: We enrolled 203 out of 233 prevalent patients on dialysis in the Trieste area of Italy. We applied the Short-Form 36 (SF-36) questionnaire, Activities of Daily Living, Instrumental Activities of Daily Living, Subjective Global Assessment scales and Karnofsky Index. In addition we analysed their social conditions. Results: Dependence, malnutrition and disability had a negative role on QoL. Living with family and good social-economic conditions were significantly related to a better QoL. Conclusions: Dependence, malnutrition, disability, poor social and economic conditions have a significant effect on life quality. The role of comorbidities appears to be less important. Screening of patients, nutritional and functional rehabilitation and prevention of social isolation appear to be indispensable in guaranteeing a satisfactory life quality.

Objective: We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms. Methods: In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selected. Socio-demographic and clinical features, including the number, total dose, and route of administration of the antipsychotic treatment were recorded. Information about the number and the length of psychiatric hospitalization was retrieved. Ordinary Least Square (OLS) regression and ML algorithms (i.e., random forest [RF], supported vector machine, K-nearest neighborhood, and Naïve Bayes) were used to estimate the predictors of total antipsychotic dosage and prescription of antipsychotic polytherapy (APP). Results: The strongest predictor of the total dose was APP. The number of Community Mental Health Centers (CMHC) contacts was the most important predictor of APP and, with APP omitted, of dosage. Treatment with anticholinergics predicted APP, emphasizing the strong correlation between APP and higher antipsychotic dose. RF performed better than OLS regression and the other ML algorithms in predicting both antipsychotic dose (root square mean error = 0.70, R 2 = 0.31) and APP (area under the receiving operator curve = 0.66, true positive rate = 0.41, and true negative rate = 0.78). Conclusion: APP is associated with the prescription of higher total doses of antipsychotics. Frequent attenders at CMHCs, and SUs recently hospitalized are often treated with APP and higher doses of antipsychotics. Future prospective studies incorporating standardized clinical assessments for both psychopathological severity and treatment efficacy are needed to confirm these findings.

Introduction\ud Growing evidence has been collected over the complex, intertwined pathophysiological connection among subclinical cardiovascular (CV) disease, i.e. atherosclerosis, systemic low pro-inflammatory states and psychiatric disorders/symptomatology (anxiety, depression), with controversial results.\ud \ud Aim\ud Aim of this study was to investigate the possible link between subclinical CV risk factors (atherosclerosis), depressive symptoms, and inflammation.\ud \ud Methods\ud Cross-sectional study. Inclusion criteria: outpatients aged ≥40 years, attending colonoscopy after positive faecal occult blood test, negative medical history for cancer. Collected data: blood pressure, glycaemia, lipid profile, waist circumference, BMI, PCR (C reactive protein), LPS (bacterial lipopolysaccharide), ultrasound carotid intima-media thickness (c-IMT). Psychometric tests: HADS, TCI, IMSA, SF36. Statistical analysis performed with STATA13.\ud \ud Results\ud The 54 patients enrolled were equally distributed by gender. CV risk factors were common in the study population, with 33 patients (61.11%) with hypertension, 14 (25.93%) with hyperglycaemia, 20 (37.4%) with hypertriglyceridemia, 19 (35.19%) with low HDL and 64.81% with overweight. High levels of PCR were found in 24 subjects (44.44%). Right c-IMT was increased in 26.41% of the sample, and 11.32% had an atheromatous plaque. Left c-IMT was increased in 24.53% of patients, with a plaque in 7.55% of them. Clinically relevant depressive symptoms were found in the 18.87% of the sample and were statistically significantly associated with PCR (OR = 28.63; P = 0.01).\ud \ud Conclusions\ud Evidence contributing to the so-called “inflammation theory” of depression and supporting the association between mood and CV disorders was here collected, supporting the need for a multidisciplinary approach to the diagnosis and treatment of such conditions, assuming a clinically-translated PNEI (psycho-neuro-endocrino-immunological) perspective

Introduction\ud Metabolic syndrome (MetS) is defined by metabolic and cardio-vascular impairments and is frequently associated with anxiety and depressive disorders. Both MetS and anxiety-depressive syndromes feature similar systemic inflammatory alterations. Inflammation of the large bowel is also a key factor for the development of colorectal cancer (CRC).\ud \ud Objective\ud To measure the prevalence of MetS and symptoms of anxiety and depression among patients undergoing colonoscopy.\ud \ud Methods\ud Cross-sectional study. Patients undergoing colonoscopy aged 40 or more, with negative history for neoplasia or inflammatory bowel disease, were enrolled. Data collected: colonoscopy outcome, presence/absence of MetS (IDF and ATP III criteria), presence/absence of depressive and anxiety symptoms assessed with HADS.\ud \ud Results\ud The sample was made up of 53 patients (female 24, 45.3%). Mean age was 60.66 ± 9.08. At least one adenoma was found to 23 patients (43.3%). Prevalence of MetS ranged from 34% to 36% (ATP III and IDF criteria, respectively). Prevalence of depressive and anxiety symptoms was 20% and 33%, respectively.\ud \ud Conclusion\ud Prevalence of MetS, anxiety and depressive symptoms among patients undergoing colonoscopy was higher than in the general population

BackgroundIt has been shown that ketamine can improve suicidality and depression. Evidence for other dimensions of psychopathology is lacking. We undertook a systematic review to investigate the effect of ketamine on cognition, anxiety, quality of life, and social functioning in adults with psychiatric disorders.MethodsPubMed (Medline), Scopus, PsycINFO, and EMBASE were searched up to April 2022. Randomized controlled trials (RCTs) on ketamine [or its S (+) enantiomer] reporting data on cognition, anxiety, quality of life, social functioning in adults with psychiatric disorders were included. Standardized mean difference (SMD) was used for summarizing continuous outcomes.ResultsTwenty-two reports were included in the final selection, of which 20, corresponding to 1,298 participants, were included in the quantitative synthesis. Affective disorders were the predominant diagnostic category. Median follow-up time was 21 days. The evidence was rated moderate to very low. In most trials, ketamine was administered intravenously or as adjuvant to electro-convulsant therapy (ECT). Only 2 trials of intranasal esketamine were identified. The effect of ketamine on depression was confirmed (SMD: −0.61 [95% CI: −1.06; −0.16]). Furthermore, by pooling results of 6 RCTs, ketamine may be effective in reducing anxiety symptoms (SMD: −0.42 [95% CI: −0.84; 0.003]), particularly when administered not within ECT (5 trials; SMD: −0.58 [95% CI: −1.07; −0.09]). However, there was moderate heterogeneity of results. Patients treated with ketamine also had an improvement in social functioning (SMD: −0.31 [95% CI: −0.52; −0.10]), although the estimate was based only on 2 studies. No difference to comparators was found with respect to cognition and quality of life.ConclusionAlongside the antidepressant effect, ketamine may also improve anxiety and social functioning in adults with affective disorders.