Influence of temperament and emotional dysregulation on depressive symptoms in adults with attention-deficit/hyperactivity disorder: A structural equation modelling analysis.

OBJECTIVE: Depressive symptoms in adults with Attention-Deficit/Hyperactivity Disorder (ADHD) are common. Clinical evidence suggests that affective temperaments and emotional dysregulation are reasonable putative explanatory factors of this association. In this study, we thus investigated the role of these features in influencing concomitant depressive symptoms in adults with ADHD. METHODS: Outpatients with ADHD were consecutively enrolled. Depressive symptoms were measured by the Symptom Checklist-90 Revised (SCL-90-R), while the Temperament Evaluation Memphis for Pisa, Paris, and San Diego-Autoquestionnaire (TEMPS-A) was used to assess the affective temperament dimensions. We tested emotional dysregulation using the Difficulties in Emotion Regulation Scale (DERS). Structural equation modeling was performed to test the interplay between temperament, emotional dysregulation, and depressive symptoms, accounting for other clinical variables that showed an association with depressive symptoms at univariate level. RESULTS: A total of 164 individuals with ADHD (mean age of 29.8 ± 10.7 years), of which 61 (37.2%) women, were recruited. Data showed that, accounting for the possible influence of psychopharmacological treatment and ADHD severity, both emotional dysregulation (p < 0.001) and dysthymic temperament (p = 0.003), though not other affective temperament dimensions, might influence depressive symptoms in people with ADHD. CONCLUSIONS: Despite some limitations, our study emphasizes the role of dysthymic temperament and emotional dysregulation in contributing to levels of depressive symptoms among individuals with ADHD. A comprehensive temperament assessment in adults with ADHD can offer valuable insights for developing tailored treatment strategies and enhancing overall patient care.

The Resistant Depression Response to Esketamine Assessing Metabolomics (ReDREAM) Project-Untargeted Metabolomics to Identify Biomarkers of Treatment Response to Intranasal Esketamine in Individuals with Treatment-Resistant Depression: A Study Protocol.

Objective: Treatment-resistant depression (TRD) affects around 20-30% of people with major depressive disorder. In 2019, esketamine nasal spray was approved for TRD by both the US Food and Drug Administration and the European Medicines Agency. While its clinical efficacy and safety are proven, the mechanisms underlying its antidepressant effect remain unclear. The use of metabolomics may allow understanding the metabolic effects of esketamine and predicting biological features associated with clinical response in TRD. Nonetheless, there is a lack of studies exploring the predictive value of metabolomics. The Resistant Depression Response to Esketamine Assessing Metabolomics (ReDREAM) project aims at identifying metabolic biosignatures that may represent novel correlates of response to esketamine treatment. Study Design: This is the protocol of an observational, prospective study. Methods: We plan to select 60 people with TRD from 3 clinical sites in Italy. The participants will be administered with esketamine nasal spray, following standard clinical practice, twice a week for 4 weeks ("induction phase"), then once a week for 4 additional weeks ("maintenance phase"). We will test the correlations between baseline metabolic profile and depressive symptom improvement at study endpoints (weeks 4 and 8) and we will explore the likelihood of different metabolic phenotypes between responders and non-responders. Expected results: An involvement of energy metabolism, amino acid metabolism, urea cycle, and nitric oxide synthesis in response to treatment with esketamine nasal spray is hypothesized. Conclusion: Unbiased data from untargeted metabolomics associated with clinical changes after esketamine treatment may contribute to define new paradigms for precision psychiatry-oriented, personalized care of TRD.

Influence of prior contact with community mental health services on first inpatient psychiatric admission for ethnic minorities: Findings from the NOMIAC study.

BACKGROUND: Research has extensively documented inequalities in inpatient psychiatric care provided to people of minoritized ethnic groups. Nonetheless, the role of their previous engagement with community mental health care has been little studied. AIMS: We aimed at exploring whether previous clinical care can influence key domains of subsequent psychiatric inpatient care for people of ethnic minorities. METHODS: We identified patients with a first hospital admission between 2016 and 2022, from a representative, highly diverse, catchment area of Northern Italy, using electronic health data of the NOMIAC study. We aimed at testing the impact of clinical care prior to admission on indicators of poor inpatient care, as identified by a participatory expert panel, that is, compulsory admission, insufficient length of stay, administration of Long-Acting Antipsychotics (LAI) during the last 7 days before discharge. Multiple regression models, predicted and counterfactual proportions and path analyses from generalized structural equations modeling were used to explore the association between belonging to ethnic minorities and these indicators. RESULTS: Among 1,524 participants, 18% were from minoritized ethnic groups. While these were more likely to experience an involuntary admission, regardless of previous care received, they were offered appropriate length of stay if had previous engagement with community mental health care. Both belonging to ethnic minorities and mental health care prior-to-admission were independently associated with early LAI administration. CONCLUSIONS: Several ethnic inequalities in inpatient care continue despite previous community mental health care provided. Future research should examine how these disparities translate into clinical outcomes. Nonetheless, there is the need to actively promote equity, improving the quality of inpatient care of minoritized ethnic groups.

Complete blood count-based inflammation indexes and symptom severity in people with schizophrenia spectrum disorders: An analysis based on structural equation modelling.

INTRODUCTION: Schizophrenia spectrum disorders (SSDs) are associated with immune-inflammatory activation. Recently, complete blood count (CBC)-based inflammation indexes such as the neutrophil-to-lymphocyte ratio (NLR), the monocyte-to-lymphocyte ratio (MLR), and the platelet-to-lymphocyte ratio (PLR) have emerged as reproducible and cost-effective inflammation markers in mental disorders. In this study, we aimed at investigating the relationship of NLR, MLR, and PLR with symptom severity in people with SSDs, testing interactions with relevant clinical variables. METHODS: We included inpatients with SSDs aged 18-65 consecutively hospitalized from May 2020 to March 2024. Socio-demographic and clinical data were recorded. CBC-based ratios were estimated from routinely collected blood samples. Structural equation modelling (SEM) was performed to test relationships involving symptom severity constructs and CBC-based ratios, accounting for substance use disorder, antipsychotic treatment, and obesity. RESULTS: Two hundred sixty-six participants met inclusion criteria. The SEM analysis uncovered a significant relationship of MLR with positive (coeff.: 0.19, p=0.048) and negative (coeff.: 0.27, p=0.004) symptoms, also showing a significant link of substance use disorder and antipsychotic treatment with symptom severity as well as of antipsychotic treatment with obesity. CONCLUSIONS: Notwithstanding the cross-sectional design and the somewhat limited sample representativeness, this study showed a significant relationship between the MLR - but not the NLR or the PLR - and the severity of both positive and negative symptoms, testing at the same time the interactions with other clinical variables. Considering the insufficiency and inconsistency of data in this field, further research is needed to validate our findings and elucidate the underlying mechanisms driving the observed relationships between the MLR and SSD symptoms.

Prevalence and correlates of manic/hypomanic and depressive predominant polarity in bipolar disorder: systematic review and meta-analysis.

BACKGROUND: Identification of the predominant polarity, i.e. hypomanic/manic (mPP) or depressive predominant polarity (dPP), might help clinicians to improve personalised management of bipolar disorder. AIMS: We performed a systematic review and meta-analysis to estimate prevalence and correlates of mPP and dPP in bipolar disorder. METHOD: The protocol was registered in the Open Science Framework Registries (https://doi.org/10.17605/OSF.IO/8S2HU). We searched main electronic databases up to December 2023 and performed random-effects meta-analyses of weighted prevalence of mPP and dPP. Odds ratios and weighted mean differences (WMDs) were used for relevant correlates. RESULTS: We included 28 studies, providing information on rates and/or correlates of mPP and dPP. We estimated similar rates of mPP (weighted prevalence = 30.0%, 95% CI: 23.1 to 37.4%) and dPP (weighted prevalence = 28.5%, 95% CI: 23.7 to 33.7%) in bipolar disorder. Younger age (WMD = -3.19, 95% CI: -5.30 to -1.08 years), male gender (odds ratio = 1.39, 95% CI: 1.10 to 1.76), bipolar-I disorder (odds ratio = 4.82, 95% CI: 2.27 to 10.24), psychotic features (odds ratio = 1.56, 95% CI: 1.01 to 2.41), earlier onset (WMD = -1.57, 95% CI: -2.88 to -0.26 years) and manic onset (odds ratio = 13.54, 95% CI: 5.83 to 31.46) were associated with mPP (P < 0.05). Depressive onset (odds ratio = 12.09, 95% CI: 6.38 to 22.90), number of mood episodes (WMD = 0.99, 95% CI: 0.28 to 1.70 episodes), history of suicide attempts (odds ratio = 2.09, 95% CI: 1.49 to 2.93) and being in a relationship (odds ratio = 1.98, 95% CI: 1.22 to 3.22) were associated with dPP (P < 0.05). No differences were estimated for other variables. CONCLUSIONS: Despite some limitations, our findings support the hypothesis that predominant polarity might be a useful specifier of bipolar disorder. Evidence quality was mixed, considering effects magnitude, consistency, precision and publication bias. Different predominant polarities may identify subgroups of patients with specific clinical characteristics.

Evidence from preclinical and clinical metabolomics studies on the antidepressant effects of ketamine and esketamine.

The antidepressant effects of ketamine and esketamine are well-documented. Nonetheless, most of the underlying molecular mechanisms have to be uncovered yet. In the last decade, metabolomics has emerged as a useful means to investigate the metabolic phenotype associated with depression as well as changes induced by antidepressant treatments. This mini-review aims at summarizing the main findings from preclinical and clinical studies that used metabolomics to investigate the metabolic effects of subanesthetic, antidepressant doses of ketamine and esketamine and their relationship with clinical response. Both animal and human studies report alterations in several metabolic pathways - including the tricarboxylic acid cycle, glycolysis, the pentose phosphate pathway, lipid metabolism, amino acid metabolism, the kynurenine pathway, and the urea cycle - following the administration of ketamine or its enantiomers. Although more research is needed to clarify commonalities and differences in molecular mechanisms of action between the racemic compound and its enantiomers, these findings comprehensively support an influence of ketamine and esketamine on mitochondrial and cellular energy production, membrane homeostasis, neurotransmission, and signaling. Metabolomics may thus represent a promising strategy to clarify molecular mechanisms underlying treatment-resistant depression and related markers of clinical response to ketamine and esketamine. This body of preclinical and clinical evidence, if further substantiated, has the potential to guide clinicians towards personalized approaches, contributing to new paradigms in the clinical management of depression.

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.

Exploring depression in people with schizophrenia spectrum disorders: A cross-sectional analysis of the clinical relationship with Positive and Negative Syndrome Scale dimensions.

OBJECTIVE: Evidence on the relationship between depression and clinical dimensions of schizophrenia remains limited. This cross-sectional study investigated the association between depression and Positive and Negative Syndrome Scale (PANSS) dimensions in people with schizophrenia spectrum disorders. METHODS: Trained assessors administered the PANSS to measure symptoms of schizophrenia and the Calgary Depression Scale for Schizophrenia to measure depression. The association of depression with overall PANSS score and related dimensions was investigated in multiple logistic regression analyses. RESULTS: We included 231 inpatients with schizophrenia spectrum disorders (mean age: 42.4 (SD: 12.9) years; men: 58.9%; mean overall PANSS score: 82.5 (SD: 20.1); drug-free or naïve: 39.3%), including 78 (33.8%) with clinically significant depressive symptoms. Depression was associated with higher overall (regression coefficient, SE: 0.029, 0.008; p < 0.001) and general psychopathology (regression coefficient, SE: 0.118, 0.023; p < 0.001) PANSS scores. We found an inverse relationship between depression and positive symptoms (regression coefficient, SE: -0.088, 0.028; p = 0.002). No association between depression and negative symptoms was found. CONCLUSION: Despite some limitations, our study shows that people affected by schizophrenia spectrum disorders with depression are likely to show more overall and general psychopathology symptoms but lower positive symptoms. Additional studies are needed to explore the generalizability of our findings.

The Kynurenine Pathway in Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-Analysis of Blood Concentrations of Tryptophan and Its Catabolites.

Preliminary evidence shows that the kynurenine pathway (KP) may be altered in attention-deficit/hyperactivity disorder (ADHD). We thus conducted a systematic review and meta-analysis exploring the peripheral blood concentrations of tryptophan catabolites (TRYCATs) in people with ADHD. We searched the main electronic databases up to 7th December 2023. Standardised mean differences (SMDs) with 95% confidence intervals (95%CIs) were used to compare TRYCAT concentrations between participants with ADHD and healthy controls (HCs). We included eight studies. Random-effects meta-analyses found higher kynurenine (SMD = 0.56; 95%CI: 0.04 to 1.08; p = 0.033; I2 = 90.3%) and lower kynurenic acid (SMD = -0.33; 95%CI: -0.49 to -0.17; p < 0.001; I2 = 0%) concentrations in people with ADHD compared to HCs. Additional analyses on drug-free children with ADHD showed higher tryptophan (SMD = 0.31; 95%CI: 0.11 to 0.50; p = 0.002; I2 = 0%) and kynurenine (SMD = 0.74; 95%CI: 0.30 to 1.17; p < 0.001; I2 = 76.5%), as well as lower kynurenic acid (SMD = -0.37; 95%CI: -0.59 to -0.15; p < 0.001; I2 = 0%) blood levels, as compared to HCs. Despite some limitations, our work provides preliminary evidence on KP alterations in ADHD that may suggest decreased neuroprotection. Further research is needed to clarify the role of the KP in ADHD.

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.

Exploring depression in people with schizophrenia spectrum disorders: a cross-sectional analysis of the clinical relationship with Positive and Negative Syndrome Scale dimensions

Objective: Evidence on the relationship between depression and clinical dimensions of schizophrenia remains limited. This cross-sectional study investigated the association between depression and Positive and Negative Syndrome Scale (PANSS) dimensions in people with schizophrenia spectrum disorders. Methods: Trained assessors administered the PANSS to measure symptoms of schizophrenia and the Calgary Depression Scale for Schizophrenia to measure depression. The association of depression with overall PANSS score and related dimensions was investigated in multiple logistic regression analyses. Results: We included 231 inpatients with schizophrenia spectrum disorders (mean age: 42.4 (SD: 12.9) years; men: 58.9%; mean overall PANSS score: 82.5 (SD: 20.1); drug-free or naïve: 39.3%), including 78 (33.8%) with clinically significant depressive symptoms. Depression was associated with higher overall (regression coefficient, SE: 0.029, 0.008; p < 0.001) and general psychopathology (regression coefficient, SE: 0.118, 0.023; p < 0.001) PANSS scores. We found an inverse relationship between depression and positive symptoms (regression coefficient, SE: -0.088, 0.028; p = 0.002). No association between depression and negative symptoms was found. Conclusion: Despite some limitations, our study shows that people affected by schizophrenia spectrum disorders with depression are likely to show more overall and general psychopathology symptoms but lower positive symptoms. Additional studies are needed to explore the generalizability of our findings.

Blood concentrations of anterior pituitary hormones in drug-naïve people with first-episode psychosis: A systematic review and meta-analysis.

INTRODUCTION: The role of anterior pituitary hormones - i.e., adrenocorticotropic hormone (ACTH), luteinizing and follicle stimulating hormones (LH and FSH), growth hormone (GH), prolactin (PRL), and thyroid-stimulating hormone (TSH) - in early schizophrenia and psychoses unclear. We thus performed a systematic review and meta-analysis on the blood concentrations of ACTH, LH and FSH, GH, PRL, and TSH in drug-naïve people with first-episode psychosis (FEP) as compared with healthy controls. METHODS: We searched Embase, MEDLINE, and PsycInfo for articles indexed until September 2022. Data quality was appraised. Random-effects meta-analyses were carried out, generating pooled standardized mean differences (SMDs). Between-study heterogeneity was estimated using the I2 statistic. Sensitivity and meta-regression analyses were performed. RESULTS: Twenty-six studies were included. Drug-naïve people with FEP, compared to healthy subjects, had higher blood concentrations of ACTH (k = 7; N = 548; SMD = 0.62; 95%CI: 0.29 to 0.94; p < 0.001; I2 = 60.9%) and PRL (k = 17; N = 1757; SMD = 0.85; 95%CI: 0.56 to 1.14; p < 0.001; I2 = 85.5%) as well as lower levels of TSH (k = 6; N = 677; SMD = -0.34; 95%CI: -0.54 to -0.14; p = 0.001; I2 = 29.1%). Meta-regressions did not show any moderating effect of age (p = 0.78), sex (p = 0.21), or symptom severity (p = 0.87) on PRL concentrations in drug-naïve FEP. Available data were not sufficient to perform meta-analyses on FSH, LH, and GH. CONCLUSIONS: Drug-naïve people with FEP have altered ACTH, PRL, and TSH blood concentrations, supporting the hypothesis that an abnormal anterior pituitary hormone secretion may be involved in the onset of schizophrenia and psychoses. Further research is needed to elucidate the role of pituitary hormones in FEP.

Influence of intrinsic and extrinsic religiosity on youth cannabis use: A structural equation modelling analysis on national survey on drug use and health (NSDUH) 2015-2019.

Religiosity may reduce the risk of substance use in adults and young people. However, religiosity is a complex construct, variously defined and assessed. We explored the role of different religious components: intrinsic (subjective), extrinsic-personal (service attendance) and extrinsic-social (church-based social activities) in deterring cannabis use among adolescents. Combining several years (2015-2019) of NSDUH data on 68,263 adolescents between 12 and 17 years, a structural equation modelling (SEM) approach was used to evaluate pathways from intrinsic and extrinsic components of religiosity to cannabis use. We analyzed the role of several covariates, including comorbid depression and secular volunteering activities. About 15% of participants said they had used cannabis at some level in the previous year. Some degree of intrinsic and of extrinsic-personal religiosity was reported by 66% and 25% of the sample. 57% were committed to at least one faith-based activity, while 74% reported participation in non-faith-based community activities. The SEM regression model -controlling for putative confounders- showed that both intrinsic and extrinsic-personal religious components reduced the likelihood of cannabis use (Cannabis use coeff.: -0.065, p = 0.001; coeff.: -0.176, p < 0.001, respectively). However, the extrinsic-social component had no effect on refraining from cannabis use, despite involvement in non-faith based volunteering activities was protectively associated. Support for secular volunteering programs may be a cost-effective mechanism for reducing cannabis use. Moreover, whilst promoting religiosity is beyond the scope of any preventive programs, religious practices should be considered relevant protective factors, deserving consideration and support in terms of public health.

The role of BDNF in major depressive disorder, related clinical features, and antidepressant treatment: Insight from meta-analyses.

The brain-derived neurotrophic factor (BDNF) has received considerable attention as a potential biomarker of major depressive disorder (MDD) and antidepressant response. We conducted an overview of meta-analyses investigating the relationship of BDNF with MDD, related clinical features, and antidepressant treatment. Based on a systematic screening on main electronic databases, 11 systematic reviews with meta-analyses were included. Available evidence suggests that people with MDD have peripheral and central BDNF levels lower than non-depressed individuals. A negative correlation between blood BDNF and symptom severity emerged, while no association with suicidality was detected. Moreover, an increase in blood BDNF levels after antidepressant treatment, proportional to symptom improvement, was reported. BDNF levels seem to be increased in both treatment responders and remitters, remaining stable in non-responders. Conversely, no variations of BDNF concentrations after non-pharmacological interventions (electroconvulsive therapy, repetitive transcranial magnetic stimulation, and physical activity) were found. The findings of this overview appear consistent with the neurotrophic hypothesis of depression, suggesting that BDNF may play a role in both MDD pathophysiology and pharmacological treatment response.

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.

Long-acting injectable antipsychotics for the treatment of bipolar disorder: evidence from mirror-image studies.

Clinical trials and real-world data have shown that long-acting injectable antipsychotics (LAIs) might be an effective therapeutic option also for people with bipolar disorder (BD). However, complementing evidence from mirror-image studies investigating LAIs in BD is scattered and has not been systematically evaluated so far. We thus performed a review of observational mirror-image studies testing the effectiveness of LAI treatment on clinical outcomes in people with BD. Embase, MEDLINE, and PsycInfo electronic databases were systematically searched (via Ovid) up to November 2022. We included six mirror-image studies that compared relevant clinical outcomes between the 12-months after (post-treatment period) and the 12-months before (pre-treatment period) the initiation of a LAI treatment in adults with BD. We found that LAI treatment is associated with a significant reduction in days spent in hospital and number of hospitalizations. Moreover, LAI treatment seems to be associated with a significant decrease in the proportion of individuals with at least one hospital admission, even though data on this outcome were reported by just two studies. In addition, studies consistently estimated a significant reduction of hypo-/manic relapses after LAI treatment initiation, while the effect of LAIs for depressive episodes is less clear. Finally, LAI treatment initiation was associated with a lower number of emergency department visits in the year after LAI initiation. The findings of this review seem to suggest that the use of LAIs is an effective strategy to improve major clinical outcomes in people with BD. Nonetheless, additional research, based on standardized assessments of prevalent polarity and relapses, is needed to identify the clinical characteristics of individuals with BD who are most likely to benefit from a LAI treatment.

Mental Health and COVID-19 in University Students: Findings from a Qualitative, Comparative Study in Italy and the UK.

INTRODUCTION: COVID-19 restrictions introduced several changes in university academic and social experience. Self-isolation and online teaching have amplified students' mental health vulnerability. Thus, we aimed to explore feelings and perspectives about the impact of the pandemic on mental health, comparing students from Italy and the UK. METHODS: Data were collected from the qualitative portion of "the CAMPUS study", longitudinally assessing 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. RESULTS: The explanatory model was developed from four themes identified across 33 interviews: anxiety exacerbated by COVID-19; putative mechanisms leading to poor mental health; the most vulnerable subgroups; and coping strategies. Generalised and social anxiety resulted from COVID-19 restrictions by being associated with loneliness, excessive time online, unhealthy management of time and space and poor communication with the university. Freshers, international students, and people on the extremes of the introversion/extroversion spectrum, were identified as vulnerable, while effective coping strategies included taking advantage of free time, connection with family and mental health support. The impact of COVID-19 was mostly related to academic issues by students from Italy, whereas to the drastic loss of social connectedness by the UK sample. CONCLUSIONS: Mental health support for students has an essential role, and measures that encourage communication and social connectedness are likely to be beneficial.

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.

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.