Anxious distress in people with major depressive episodes: a cross-sectional analysis of clinical correlates.

OBJECTIVE: Most people with major depressive episodes meet the criteria for the anxious distress (AD) specifier defined by DSM-5 as the presence of symptoms such as feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen. This cross-sectional study was aimed at identifying clinical correlates of AD in people with unipolar or bipolar depression. METHODS: Inpatients with a current major depressive episode were included. Data on socio-demographic and clinical variables were collected. The SCID-5 was used to diagnose depressive episodes and relevant specifiers. The Montgomery-Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were used to assess the severity of depressive and manic (mixed) symptoms, respectively. Multiple logistic regression analyses were carried out to identify clinical correlates of AD. RESULTS: We included 206 people (mean age: 48.4 ± 18.6 yrs.; males: 38.8%) admitted for a major depressive episode (155 with major depressive disorder and 51 with bipolar disorder). Around two-thirds of the sample (N = 137; 66.5%) had AD. Multiple logistic regression models showed that AD was associated with mixed features, higher YMRS scores, psychotic features, and a diagnosis of major depressive disorder (p < 0.05). CONCLUSION: Despite some limitations, including the cross-sectional design and the inpatient setting, our study shows that AD is likely to be associated with mixed and psychotic features, as well as with unipolar depression. The identification of these clinical domains may help clinicians to better contextualize AD in the context of major depressive episodes.

Understanding University Students' Perspectives towards Digital Tools for Mental Health Support: A Cross-country Study.

Background: Organisational and individual barriers often prevent university students from seeking mental health support. Digital technologies are recognised as effective in managing psychological distress and as a source of health-related information, thus representing useful options to address mental health needs in terms of accessibility and cost-effectiveness. However, university students' experiences and perspectives towards such interventions are little known. Objectives: We thus aimed to expand the existing base of scientific knowledge, focusing on this special population. Methods: Data were from the qualitative component of "the CAMPUS study", longitudinally assessing the mental health of students at the University of Milano-Bicocca (Italy) and the University of Surrey (UK). We conducted in-depth interviews and thematically analysed the transcripts using the framework approach. Results: An explanatory model was derived from five themes identified across 33 interviews (15 for Italy, 18 for the UK). Students perceived that social media, apps, and podcasts could deliver relevant mental health content, ranging from primary to tertiary prevention. Wide availability and anonymity were perceived as advantages that make tools suitable for preventive interventions, to reduce mental health stigma, and as an extension of standard treatment. These goals can be hindered by disadvantages, namely lower efficacy compared to face-to-face contact, lack of personalisation, and problematic engagement. Individual and cultural specificities might influence awareness and perspectives on the use of digital technologies for mental health support. Conclusion: Although considering some specific features, digital tools could be a useful instrument to support the mental health needs of students. Since personal contact remains crucial, digital tools should be integrated with face-to-face interventions through a multi-modal approach.

Longitudinal symptomatic interactions in long-standing schizophrenia: a novel five-point analysis based on directed acyclic graphs.

BACKGROUND: Recent network models propose that mutual interaction between symptoms has an important bearing on the onset of schizophrenic disorder. In particular, cross-sectional studies suggest that affective symptoms may influence the emergence of psychotic symptoms. However, longitudinal analysis offers a more compelling test for causation: the European Schizophrenia Cohort (EuroSC) provides data suitable for this purpose. We predicted that the persistence of psychotic symptoms would be driven by the continuing presence of affective disturbance. METHODS: EuroSC included 1208 patients randomly sampled from outpatient services in France, Germany and the UK. Initial measures of psychotic and affective symptoms were repeated four times at 6-month intervals, thereby furnishing five time-points. To examine interactions between symptoms both within and between time-slices, we adopted a novel technique for modelling longitudinal data in psychiatry. This was a form of Bayesian network analysis that involved learning dynamic directed acyclic graphs (DAGs). RESULTS: Our DAG analysis suggests that the main drivers of symptoms in this long-term sample were delusions and paranoid thinking. These led to affective disturbance, not vice versa as we initially predicted. The enduring relationship between symptoms was unaffected by whether patients were receiving first- or second-generation antipsychotic medication. CONCLUSIONS: In this cohort of people with chronic schizophrenia treated with medication, symptoms were essentially stable over long periods. However, affective symptoms appeared driven by the persistence of delusions and persecutory thinking, a finding not previously reported. Although our findings as ever remain hostage to unmeasured confounders, these enduring psychotic symptoms might nevertheless be appropriate candidates for directly targeted psychological interventions.

Characterizing the clinical profile of mania without major depressive episodes: a systematic review and meta-analysis of factors associated with unipolar mania.

BACKGROUND: The diagnostic concept of unipolar mania (UM), i.e. the lifetime occurrence of mania without major depressive episodes, remains a topic of debate despite the evidence accumulated in the last few years. We carried out a systematic review and meta-analysis of observational studies testing factors associated with UM as compared to bipolar disorder with a manic-depressive course (md-BD). METHODS: Studies indexed up to July 2022 in main electronic databases were searched. Random-effects meta-analyses of the association between UM and relevant correlates yielded odds ratio (OR) or standardized mean difference (SMD), with 95% confidence intervals (CIs). RESULTS: Based on data from 21 studies, factors positively or negatively associated with UM, as compared to md-BD, were: male gender (OR 1.47; 95% CI 1.11-1.94); age at onset (SMD -0.25; 95% CI -0.46 to -0.04); number of hospitalizations (SMD 0.53; 95% CI 0.21-0.84); family history of depression (OR 0.55; 95% CI 0.36-0.85); suicide attempts (OR 0.25; 95% CI 0.19-0.34); comorbid anxiety disorders (OR 0.35; 95% CI 0.26-0.49); psychotic features (OR 2.16; 95% CI 1.55-3.00); hyperthymic temperament (OR 1.99; 95% CI 1.17-3.40). The quality of evidence for the association with previous suicide attempts was high, moderate for anxiety disorders and psychotic features, and low or very low for other correlates. CONCLUSIONS: Despite the heterogeneous quality of evidence, this work supports the hypothesis that UM might represent a distinctive diagnostic construct, with peculiar clinical correlates. Additional research is needed to better differentiate UM in the context of affective disorders, favouring personalized care approaches.

Effect of long-acting injectable antipsychotics on 1-year hospitalization in bipolar disorder: a mirror-image study.

Long-acting injectable (LAI) antipsychotics are often used for the long-term management also of bipolar disorder (BD). Nonetheless, evidence on their effect on pragmatic outcomes such as hospitalization risk in BD is inconsistent. We carried out a mirror-image study comparing rates and number of days of hospitalization, one year before and after the initiation of LAI treatment, in a sample of subjects with BD. Participants were selected from the STAR Network Depot Study, a pragmatic, observational, multicenter research involving a cohort of inpatients and outpatients consecutively started on LAI treatment. Variations in rates and in total number of days of hospitalization between the 12 months before and those after treatment initiation were analyzed. Among 461 individuals screened for eligibility, we included 71 adults with BD, initiated either on first- (FGA) or second-generation (SGA) LAIs. We found a significant decrease in terms of 12-month hospitalization rates (p < 0.001) and number of days (p < 0.001) after LAI initiation, without any effect by age, gender, alcohol/substance use disorders, and symptom severity. Subgroup analyses based on antipsychotic class, history of LAI treatment, and concomitant oral medications, confirmed the decreasing trend on both hospitalization rates and number of days. However, these reductions were not significant among participants who continued this treatment for less than 6 months. Comprehensively, this study supports the role of LAIs as effective maintenance treatment options for BD. Further research is needed to identify clinical characteristics of people with BD who would most benefit from long-acting formulations of antipsychotics.

Clinical correlates of comorbid attention deficit hyperactivity disorder in adults suffering from bipolar disorder: A meta-analysis.

OBJECTIVE: Attention deficit hyperactivity disorder is a frequent comorbid condition in adults with bipolar disorder. We performed a meta-analysis aimed at assessing sociodemographic and clinical correlates of attention deficit hyperactivity disorder in bipolar disorder. METHOD: We searched main electronic databases up to June 2021. Random-effects meta-analyses, with relevant meta-regression and quality-based sensitivity analyses, were carried out to estimate the association between attention deficit hyperactivity disorder and putative correlates, grading the quality of evidence. RESULTS: We included 43 studies, based on 38 independent samples. Attention deficit hyperactivity disorder participants were more likely to be males (odds ratio = 1.46; p < 0.001) and unemployed (odds ratio = 1.45; p = 0.045), and less likely to be married (odds ratio = 0.62; p = 0.014). They had an earlier onset of bipolar disorder (standardized mean difference = -0.36; p < 0.001); more mood episodes (standardized mean difference = 0.35; p = 0.007), particularly depressive (standardized mean difference = 0.30; p = 0.011) and mixed (standardized mean difference = 0.30; p = 0.031) ones; higher odds of using antidepressants (odds ratio = 1.80; p = 0.024) and attempted suicides (odds ratio = 1.83; p < 0.001) and lower odds of psychotic features (odds ratio = 0.63; p = 0.010). Moreover, they were more likely to have generalized anxiety disorder (odds ratio = 1.50; p = 0.019), panic disorder (odds ratio = 1.89; p < 0.001), social phobia (odds ratio = 1.61; p = 0.017), eating disorders (odds ratio = 1.91; p = 0.007), antisocial personality disorder (odds ratio = 3.59; p = 0.004) and substance (odds ratio = 2.29; p < 0.001) or alcohol (odds ratio = 2.28; p < 0.001) use disorders. Quality of the evidence was generally low or very low for the majority of correlates, except for bipolar disorder onset and alcohol/substance use disorders (high), and suicide attempts (moderate). CONCLUSION: Comorbid bipolar disorder/attention deficit hyperactivity disorder may have some distinctive clinical features including an earlier onset of bipolar disorder and higher comorbid alcohol/substance use disorder rates. Further research is needed to identify additional clinical characteristics of this comorbidity.

The kynurenine pathway in bipolar disorder: a meta-analysis on the peripheral blood levels of tryptophan and related metabolites.

Growing evidence suggests that a dysregulation of the kynurenine pathway (KP) occurs in bipolar disorder (BD). This systematic review and meta-analysis aimed at assessing the possible differences in peripheral blood levels of KP metabolites between individuals with BD and healthy controls. We searched Medline, Embase, and PsycInfo electronic databases for articles indexed up to February 2020. We included any observational study comparing the peripheral blood levels of at least one KP metabolite between adults with BD and healthy controls. Random-effects meta-analyses were carried out generating pooled standardized mean differences (SMDs). Heterogeneity between studies was estimated using the I2 index. Meta-regression and sensitivity analyses were conducted. Sixteen studies met inclusion criteria and were included in our study. Meta-analyses showed that individuals with BD have lower peripheral blood levels of tryptophan (SMD = -0.29), kynurenine (SMD = -0.28), kynurenic acid (SMD = -0.30), and xanthurenic acid (SMD = -0.55), along with lower kynurenic acid to kynurenine (SMD = -0.60) and kynurenic acid to quinolinic acid (SMD = -0.37) ratios, than healthy controls. Individuals with a manic episode showed the greatest reductions in tryptophan levels (SMD = -0.51), whereas kynurenic acid levels were more reduced among subjects in a depressive phase (SMD = -0.70). Meta-regression and sensitivity analyses confirmed our results. The findings of the present meta-analysis support the hypothesis of an abnormality of the KP in BD. Considering the partial inconsistency of the findings and the small-to-medium magnitude of the estimated effect sizes, additional research assessing possible mediators or confounders is needed.

Innovations in community-based mental health care: an overview of meta-analyses.

In the last four decades, mental health services for people with Severe Mental Illness (SMI) have seen asylums replaced by a balanced model of Community Mental Healthcare (CMH). Innovative approaches and strategies in the field of CMH have been extensively researched. However, this research has been hampered by issues limiting their capacity to inform clinicians and policymakers. We conducted an overview of meta-analyses of the effectiveness of innovative CMH models focussing on clinical and psychosocial outcomes in comparisons with standard care in adults with SMI. Based on the 12 eligible studies, we appraised, synthesised and graded the resulting evidence. There was moderate quality evidence that case management, Early Intervention Services (EIS) and caregiver-directed interventions were superior to standard care in reducing hospital admission. In relation to psychosocial outcomes, EIS showed high quality evidence of a small effect on global functioning. There was moderate quality evidence for a similar effect of Intensive Case Management, and for a large effect of family intervention. For quality of life, both EIS and self-management education had a small effect, with moderate quality. The level of research about effective CMH models is therefore substantial. However, several gaps related to innovative CMH not yet covered in meta-analytic synthesis, need to be filled.

Pharmacological interventions to reduce violence in patients with schizophrenia in forensic psychiatry.

BACKGROUND: The purpose was to systematically investigate which pharmacological strategies are effective to reduce the risk of violence among patients with Schizophrenia Spectrum Disorders (SSD) in forensic settings. METHODS: For this systematic review six electronic data bases were searched. Two researchers independently screened the 6,003 abstracts resulting in 143 potential papers. These were then analyzed in detail by two independent researchers. Of these, 133 were excluded for various reasons leaving 10 articles in the present review. RESULTS: Of the 10 articles included, five were merely observational, and three were pre-post studies without controls. One study applied a matched case-control design and one was a non-randomized controlled trial. Clozapine was investigated most frequently, followed by olanzapine and risperidone. Often, outcome measures were specific to the study and sample sizes were small. Frequently, relevant methodological information was missing. Due to heterogeneous study designs and outcomes meta-analytic methods could not be applied. CONCLUSION: Due to substantial methodological limitations it is difficult to draw any firm conclusions about the most effective pharmacological strategies to reduce the risk of violence in patents with SSD in forensic psychiatry settings. Studies applying more rigorous methods regarding case-definition, outcome measures, sample sizes, and study designs are urgently needed.

Assessing vulnerability to psychological distress during the COVID-19 pandemic through the analysis of microblogging content.

In recent years we have witnessed a growing interest in the analysis of social media data under different perspectives, since these online platforms have become the preferred tool for generating and sharing content across different users organized into virtual communities, based on their common interests, needs, and perceptions. In the current study, by considering a collection of social textual contents related to COVID-19 gathered on the Twitter microblogging platform in the period between August and December 2020, we aimed at evaluating the possible effects of some critical factors related to the pandemic on the mental well-being of the population. In particular, we aimed at investigating potential lexicon identifiers of vulnerability to psychological distress in digital social interactions with respect to distinct COVID-related scenarios, which could be "at risk" from a psychological discomfort point of view. Such scenarios have been associated with peculiar topics discussed on Twitter. For this purpose, two approaches based on a "top-down" and a "bottom-up" strategy were adopted. In the top-down approach, three potential scenarios were initially selected by medical experts, and associated with topics extracted from the Twitter dataset in a hybrid unsupervised-supervised way. On the other hand, in the bottom-up approach, three topics were extracted in a totally unsupervised way capitalizing on a Twitter dataset filtered according to the presence of keywords related to vulnerability to psychological distress, and associated with at-risk scenarios. The identification of such scenarios with both approaches made it possible to capture and analyze the potential psychological vulnerability in critical situations.

The mediating role of depression in pathways linking positive and negative symptoms in schizophrenia. A longitudinal analysis using latent variable structural equation modelling.

BACKGROUND: The interaction between positive, negative and depressive symptoms experienced by people with schizophrenia is complex. We used longitudinal data to test the hypothesis that depressive symptoms mediate the links between positive and negative symptoms. METHODS: We analyzed data from the European Schizophrenia Cohort, randomly sampled from outpatient services in France, Germany and the UK (N = 1208). Initial measures were repeated after 6 and 12 months. Depressive symptoms were identified using the Calgary Depression Scale for Schizophrenia (CDSS), while positive and negative symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS). Latent variable structural equation modelling was used to investigate the mediating role of depression assessed at 6 months in relation to the longitudinal association between positive symptoms at baseline and negative symptoms at 12 months. RESULTS: We found longitudinal associations between positive symptoms at baseline and negative symptoms at 12 months, as well as between both of these and CDSS levels at 6 months. However depression did not mediate the longitudinal association between PANSS scores; all the effect was direct. CONCLUSIONS: Our findings are incompatible with a mediating function for depression on the pathway from positive to negative symptoms, at least on this timescale. The role of depression in schizophrenic disorders remains a challenge for categorical and hierarchical diagnostic systems alike. Future research should analyze specific domains of both depressive and negative symptoms (e.g. motivational and hedonic impairments). The clinical management of negative symptoms using antidepressant treatments may need to be reconsidered.

Facial emotion recognition in people with schizophrenia and a history of violence: a mediation analysis.

Evidence for an association between impaired facial emotion recognition and violence in people with schizophrenia is inconclusive. In particular, the role of misidentification patterns involving specific emotions such as anger and the influence of clinical characteristics on this association remain unclear. In this study, we compared facial emotion recognition performance in age- and gender-matched schizophrenia spectrum disorders subjects with (N = 52) and without (N = 52) a history of violence. Data on current symptom severity, Cluster B personality status, past victimization, and alcohol and substance misuse were also collected. Compared to those without, subjects with a history of violence showed worse facial emotion recognition performances, involving anger, fear, disgust, sadness, and happiness. When formally testing the reporting of angry faces, evidence of enhanced sensitivity to anger was not supported. Finally, when the impact of current symptoms was assessed, higher severity of activation symptoms, including motor hyperactivity, elevated mood, excitement and distractibility, mediated the relationship between history of violence and poor facial emotion recognition performance. As a whole, our findings seem to support the role of perceptual deficits involving different emotions as well as of a mediation played by activation symptoms. Facial emotion recognition deficits associated with the propensity to violence, as well certain symptoms mediating their relationship, should be targeted by specific treatment approaches.

Pre-Discharge Predictors of 1-Year Rehospitalization in Adolescents and Young Adults with Severe Mental Disorders: A Retrospective Cohort Study.

Background and objectives: Readmissions of youths hospitalized for a severe mental disorder are common events and bear a remarkable human, social, and economic burden. The current study aimed at evaluating predictors of 1-year rehospitalization in a sample of adolescents and young adults with severe mental disorders. Materials and Methods: Data for ≤25-year-old inpatients with a severe mental disorder and consecutively admitted between 1 January 2016 and 30 June 2019 were collected. Subjects were retrospectively assessed over a follow-up period of one year after the index discharge to track readmissions-i.e., the primary outcome variable. Standard descriptive statistics were used. The association between variables and 1-year rehospitalization was estimated using the univariate Cox proportional hazards regression model. We then carried out a multivariable Cox regression model, also estimating the covariate-adjusted survivor function. Hazard ratios (HRs) with related 95% confidence intervals (95% CIs) were provided. Results: The final sample included 125 individuals. The multivariable Cox regression model estimated that co-occurring substance use disorders (HR = 2.14; 95% CI: 1.08 to 4.26; p = 0.029) and being admitted for a suicide attempt (HR = 2.49; 95% CI: 1.13 to 5.49; p = 0.024) were both significant predictors of 1-year rehospitalization. Conclusions: Our study showed that comorbid substance use disorders and being admitted for a suicide attempt were predictors of early readmission in youths with severe mental disorders. Although their generalizability is limited, our findings could contribute to improve the quality of young patients' mental health care by identifying vulnerable subjects who may benefit from tailored interventions to prevent rehospitalizations.

Trends of major depressive episode among people with cannabis use: Findings from the National Survey on Drug Use and Health 2006-2015.

Background: A dose-response association, suggesting that heavy cannabis users are more likely to report depressive disorders, has been hypothesized. However, evidence is not conclusive, and we aimed at testing the existence of a linear association between different levels of cannabis use and depressive disorders using large, representative, repeated surveys. Methods: We examined prevalence rates of different levels of past-year cannabis use and major depressive episode (MDE), separately for young people (12-17 years) and adults (18-64 years), using data between 2006 and 2015 from the National Survey on Drug Use and Health. Prevalence rates estimates with 95% confidence intervals were computed, and the association between past-year MDE and cannabis use was assessed. We then investigated whether time-period trends existed for MDE and, if so, whether these differed by cannabis use levels. Models included both time period, to evaluate trend changes in past-year MDE from 2006 to 2015, and time period by cannabis level interaction terms. Results: Cannabis users were more likely, using both single-year and pooled survey data, to have suffered from MDE in the past year. Multiple logistic regression models, after adjusting for time period, age, and gender, showed an association between MDE and cannabis use, regardless of its levels. However, a roughly dose-response relationship was detectable only for adults. Trends in past-year MDE prevalence rates among subjects with different levels of cannabis use did not differ from trends among nonusers. Women were more likely to report concurrent past-year MDE and cannabis use than men. Conclusions: Cannabis users have consistently higher prevalence rates of depressive disorders compared with nonusers, suggesting the need for integrated screening and treatment programs to tackle this comorbid condition.

Antioxidant uric acid in treated and untreated subjects with major depressive disorder: a meta-analysis and meta-regression.

Pathophysiological mechanisms of major depressive disorder (MDD) seem to be associated with oxidative stress pathways and altered purinergic metabolism. We conducted a systematic review and meta-analysis to estimate if subjects with MDD might have reduced levels of antioxidant uric acid, considering also potential influence of antidepressant treatment. We searched the main Electronic Databases, identifying 14 studies that met our inclusion criteria. Meta-analyses were carried out generating pooled Hedges' g and mean differences (MDs), using random-effects models. Heterogeneity across studies and risk of publication bias were estimated using standard methods. Relevant sensitivity and meta-regression analyses were conducted. Subjects with MDD had levels of uric acid lower than healthy controls (Hedges' g = -0.30; p = 0.003). Overall between-study heterogeneity was high (I 2 = 76.3%). The effect was significant among studies including drug naïve/free MDD individuals (Hedges' g = -0.55; p = 0.023), but not among those involving treated subjects (Hedges' g = -0.15; p = 0.062). Relevant quality- and heterogeneity-based sensitivity analyses, as well as meta-regressions, confirmed these findings. In addition, uric acid levels significantly, though inconsistently (I 2 = 79.2%), increased after treatment (MD = +0.71 mg/dL; p < 0.001), regardless of follow-up duration (p = 0.518). Our meta-analysis shows that subjects with MDD have lower levels of uric acid. Since antidepressant treatment seems to influence this association, our findings support the hypothesis that uric acid levels may represent a state marker of MDD. Nevertheless, the potential role of additional factors that might clarify the nature of this association deserves further research.

Rates and correlates of suicidal ideation among stroke survivors: a meta-analysis.

BACKGROUND: A better understanding of the epidemiological impact of suicidal ideation after stroke is required to identify subjects needing personalised interventions. OBJECTIVE: The aim of this meta-analysis was to estimate rates and correlates of suicidal ideation among stroke survivors. METHODS: We searched via Ovid, Medline, Embase and PsycInfo from database inception until August 2016. Predefined outcomes were (1) rates of suicidal ideation based on random-effects pooled proportion and (2) relevant sociodemographic and clinical correlates, using random-effects odds ratio (OR) or standardised mean difference (SMD) for categorical and continuous variables, respectively. RESULTS: Fifteen studies and 13 independent samples, accounting for 10 400 subjects, were included in meta-analyses. The pooled proportion of suicidal ideation among stroke survivors was 11.8% (7.4% to 16.2%), with high heterogeneity across studies (I2=97.3%). Current (OR=11.50; p<0.001) and past (OR=6.96; p<0.001) depression, recurrent stroke (OR=1.77; p<0.001), disability (SMD=0.58; p=0.01) and cognitive impairment (SMD=-0.22; p=0.03) were all associated with suicidal ideation. Moreover, suicidal ideation was less likely in stroke survivors who were married (OR=0.63; p<0.001), employed (OR=0.57; p=0.02) and had higher education levels (OR=0.55; p=0.002). CONCLUSION: Despite some limitations, this meta-analysis shows that about one out of eight stroke survivors has suicidal ideation. Thus, there is enough evidence to support the use of routine screening and early interventions to prevent and treat suicidal ideation after stroke, especially among subjects carrying specific correlates.

Allopurinol as add-on treatment for mania symptoms in bipolar disorder: systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: Since bipolar disorder seems to be associated with purinergic system dysfunction, allopurinol might be effective in treating symptoms of mania. AIMS: To estimate the efficacy and tolerability of allopurinol as adjunctive treatment for mania symptoms in people with bipolar affective disorder. METHOD: We conducted a systematic review and meta-analysis of randomised controlled trials (RCTs) comparing the effects of adjunctive allopurinol and placebo on mania symptom changes. RESULTS: Five RCTs were included in the meta-analysis. Participants with allopurinol augmentation had a significantly greater decrease in mania symptoms than those with placebo (SMD = -0.34, P = 0.007), especially in people with the most severe forms of mania. Remission rates, although based on only two studies (n = 177), were significantly higher among individuals receiving allopurinol, whereas for discontinuation and side-effects no difference was found. CONCLUSIONS: Our finding of a small to moderate effect size and overall low evidence for add-on allopurinol in reducing mania symptoms indicate that its use in routine practice needs further elucidation.

Validity and clinical utility of the DSM-5 severity specifier for bulimia nervosa: results from a multisite sample of patients who received evidence-based treatment.

A new "severity specifier" for bulimia nervosa (BN), based on the frequency of inappropriate weight compensatory behaviours (IWCBs), was added to the DSM-5 as a means of documenting heterogeneity and variability in the severity of the disorder. Yet, evidence for its validity in clinical populations, including prognostic significance for treatment outcome, is currently lacking. Existing data from 281 treatment-seeking patients with DSM-5 BN, who received the best available treatment for their disorder (manual-based cognitive behavioural therapy; CBT) in an outpatient setting, were re-analysed to examine whether these patients subgrouped based on the DSM-5 severity levels would show meaningful and consistent differences on (a) a range of clinical variables assessed at pre-treatment and (b) post-treatment abstinence from IWCBs. Results highlight that the mild, moderate, severe, and extreme severity groups were statistically distinguishable on 22 variables assessed at pre-treatment regarding eating disorder pathological features, maintenance factors of BN, associated (current) and lifetime psychopathology, social maladjustment and illness-specific functional impairment, and abstinence outcome. Mood intolerance, a maintenance factor of BN but external to eating disorder pathological features (typically addressed within CBT), emerged as the primary clinical variable distinguishing the severity groups showing a differential treatment response. Overall, the findings speak to the concurrent and predictive validity of the new DSM-5 severity criterion for BN and are important because a common benchmark informing patients, clinicians, and researchers about severity of the disorder and allowing severity fluctuation and patient's progress to be tracked does not exist so far. Implications for future research are outlined.

Facial emotion recognition in schizophrenia: An exploratory study on the role of comorbid alcohol and substance use disorders and COMT Val158Met.

OBJECTIVES: To explore whether facial emotion recognition (FER), impaired in both schizophrenia and alcohol and substance use disorders (AUDs/SUDs), is additionally compromised among comorbid subjects, also considering the role of catechol-O-methyltransferase (COMT) Val158Met. METHODS: We conducted a cross-sectional study, randomly recruiting 67 subjects with a DSM-IV-TR diagnosis of schizophrenia, and rigorously assessing AUDs/SUDs and COMT Val158Met polymorphism. FER was assessed using the Ekman 60 Faces Test- EK-60F. RESULTS: As a whole, the sample scored significantly lower than normative data on EK-60F. However, subjects with comorbid AUDs/SUDs did not perform worse on EK-60F than those without, who had a better performance on EK-60F if they carried the COMT Val/Met variant. CONCLUSIONS: This study is the first to date examining the impact of AUDs/SUDs and COMT variants on FER in an epidemiologically representative sample of subjects with schizophrenia. Our findings do not suggest an additional impairment from comorbid AUDs/SUDs on FER among subjects with schizophrenia, whilst COMT Val158Met, though based on a limited sample, might have a role just among those without AUDs/SUDs. Based on our results, additional research is needed also exploring differential roles of various substances.

Purinergic system dysfunctions in subjects with bipolar disorder: A comparative cross-sectional study.

BACKGROUND: Subjects with bipolar mania may have increased uric acid levels, based on a purinergic system dysfunction with reduced neurotransmission of adenosine. We investigated whether there were differences in uric acid levels between individuals with bipolar disorder (in manic or depressive phases) and those with major depressive disorder. METHODS: We conducted a cross-sectional study recruiting 128 subjects with bipolar disorder and 118 with major depressive disorder, admitted to a psychiatric inpatient unit. Standard demographic and clinical information were retrieved from electronic charts and relevant clinical records. Fasting serum values of uric acid, as well as metabolic (total cholesterol, triglycerides, and glycaemia), oxidative stress (albumin, bilirubin), and kidney function (creatinine), parameters, were collected. RESULTS: Subjects with bipolar mania (5.27±1.63mg/dL), but not those with bipolar depression (4.89±1.94mg/dL), had higher levels of serum uric acid (p<0.05), as compared with individuals with major depressive disorder (4.59±1.62mg/dL). Relevant linear regression analyses, controlling for metabolic profile, oxidative stress markers, kidney function, and comorbid alcohol use disorder, showed a significant association between bipolar mania (p<0.01) and increased uric acid. CONCLUSIONS: Findings of this study add evidence to the role of uric acid as state, rather than trait, marker in bipolar disorders. Explored, relevant, confounders do not seem to influence these results. The current study supports the hypothesis of a purinergic system dysfunction associated with manic phases of bipolar disorder.