Associations of altered leukocyte DDR1 promoter methylation and childhood trauma with bipolar disorder and suicidal behavior in euthymic patients.

Altered DNA methylation (DNAm) patterns of discoidin domain receptor 1 (DDR1) have been found in the blood and brain of patients with schizophrenia (SCZ) and the brain of patients with bipolar disorder (BD). Childhood trauma (CT) is associated with changes in DNAm that in turn are related to suicidal behavior (SB) in patients with several psychiatric disorders. Here, using MassARRAY® technology, we studied 128 patients diagnosed with BD in remission and 141 healthy controls (HCs) to compare leukocyte DDR1 promoter DNAm patterns between patients and HCs and between patients with and without SB. Additionally, we investigated whether CT was associated with DDR1 DNAm and mediated SB. We found hypermethylation at DDR1 cg19215110 and cg23953820 sites and hypomethylation at cg14279856 and cg03270204 sites in patients with BD compared to HCs. Logistic regression models showed that hypermethylation of DDR1 cg23953820 but not cg19215110 and CT were risk factors for BD, while cg14279856 and cg03270204 hypomethylation were protective factors. In patients, CT was a risk factor for SB, but DDR1 DNAm, although associated with CT, did not mediate the association of CT with SB. This is the first study demonstrating altered leukocyte DDR1 promoter DNAm in euthymic patients with BD. We conclude that altered DDR1 DNAm may be related to immune and inflammatory mechanisms and could be a potential blood biomarker for the diagnosis and stratification of psychiatric patients.

Efficacy and safety of established and off-label ADHD drug therapies for cognitive impairment or attention-deficit hyperactivity disorder symptoms in bipolar disorder: A systematic review by the ISBD Targeting Cognition Task Force.

BACKGROUND: Abnormalities in dopamine and norepinephrine signaling are implicated in cognitive impairments in bipolar disorder (BD) and attention-deficit hyperactivity disorder (ADHD). This systematic review by the ISBD Targeting Cognition Task Force therefore aimed to investigate the possible benefits on cognition and/or ADHD symptoms and safety of established and off-label ADHD therapies in BD. METHODS: We included studies of ADHD medications in BD patients, which involved cognitive and/or safety measures. We followed the procedures of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 statement. Searches were conducted on PubMed, Embase and PsycINFO from inception until June 2023. Two authors reviewed the studies independently using the Revised Cochrane Collaboration's Risk of Bias tool for Randomized trials. RESULTS: Seventeen studies were identified (N = 2136), investigating armodafinil (k = 4, N = 1581), methylphenidate (k = 4, N = 84), bupropion (k = 4, n = 249), clonidine (k = 1, n = 70), lisdexamphetamine (k = 1, n = 25), mixed amphetamine salts (k = 1, n = 30), or modafinil (k = 2, n = 97). Three studies investigated cognition, four ADHD symptoms, and 10 the safety. Three studies found treatment-related ADHD symptom reduction: two involved methylphenidate and one amphetamine salts. One study found a trend towards pro-cognitive effects of modafinil on some cognitive domains. No increased risk of (hypo)mania was observed. Five studies had low risk of bias, eleven a moderate risk, and one a serious risk of bias. CONCLUSIONS: Methylphenidate or mixed amphetamine salts may improve ADHD symptoms in BD. However, there is limited evidence regarding the effectiveness on cognition. The medications produced no increased mania risk when used alongside mood stabilizers. Further robust studies are needed to assess cognition in BD patients receiving psychostimulant treatment alongside mood stabilizers.

Emotional intelligence: a comparison between patients after first episode mania and those suffering from chronic bipolar disorder type I.

BACKGROUND: Deficits in emotional intelligence (EI) were detected in patients with bipolar disorder (BD), but little is known about whether these deficits are already present in patients after presenting a first episode mania (FEM). We sought (i) to compare EI in patients after a FEM, chronic BD and healthy controls (HC); (ii) to examine the effect exerted on EI by socio-demographic, clinical and neurocognitive variables in FEM patients. METHODS: The Emotional Intelligence Quotient (EIQ) was calculated with the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Performance on MSCEIT was compared among the three groups using generalized linear models. In patients after a FEM, the influence of socio-demographic, clinical and neurocognitive variables on the EIQ was examined using a linear regression model. RESULTS: In total, 184 subjects were included (FEM n = 48, euthymic chronic BD type I n = 75, HC n = 61). BD patients performed significantly worse than HC on the EIQ [mean difference (MD) = 10.09, standard error (s.e.) = 3.14, p = 0.004] and on the understanding emotions branch (MD = 7.46, s.e. = 2.53, p = 0.010). FEM patients did not differ from HC and BD on other measures of MSCEIT. In patients after a FEM, EIQ was positively associated with female sex (ß = -0.293, p = 0.034) and verbal memory performance (ß = 0.374, p = 0.008). FEM patients performed worse than HC but better than BD on few neurocognitive domains. CONCLUSIONS: Patients after a FEM showed preserved EI, while patients in later stages of BD presented lower EIQ, suggesting that impairments in EI might result from the burden of disease and neurocognitive decline, associated with the chronicity of the illness.

Can magnetic resonance imaging enhance the assessment of potential new treatments for cognitive impairment in mood disorders? A systematic review and position paper by the International Society for Bipolar Disorders Targeting Cognition Task Force.

BACKGROUND: Developing treatments for cognitive impairment is key to improving the functioning of people with mood disorders. Neuroimaging may assist in identifying brain-based efficacy markers. This systematic review and position paper by the International Society for Bipolar Disorders Targeting Cognition Task Force examines the evidence from neuroimaging studies of pro-cognitive interventions. METHODS: We included magnetic resonance imaging (MRI) studies of candidate interventions in people with mood disorders or healthy individuals, following the procedures of the Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 statement. Searches were conducted on PubMed/MEDLINE, PsycInfo, EMBASE, Cochrane Library, and Clinicaltrials.gov from inception to 30th April 2021. Two independent authors reviewed the studies using the National Heart, Lung, Blood Institutes of Health Quality Assessment Tool for Controlled Intervention Studies and the quality of neuroimaging methodology assessment checklist. RESULTS: We identified 26 studies (N = 702). Six investigated cognitive remediation or pharmacological treatments in mood disorders (N = 190). In healthy individuals, 14 studies investigated pharmacological interventions (N = 319), 2 cognitive training (N = 73) and 4 neuromodulatory treatments (N = 120). Methodologies were mostly rated as 'fair'. 77% of studies investigated effects with task-based fMRI. Findings varied but most consistently involved treatment-associated cognitive control network (CCN) activity increases with cognitive improvements, or CCN activity decreases with no cognitive change, and increased functional connectivity. In mood disorders, treatment-related default mode network suppression occurred. CONCLUSIONS: Modulation of CCN and DMN activity is a putative efficacy biomarker. Methodological recommendations are to pre-declare intended analyses and use task-based fMRI, paradigms probing the CCN, longitudinal assessments, mock scanning, and out-of-scanner tests.

Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group.

Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for their diagnostic use. However, fair and optimal application of ML requires large, multi-site datasets. We applied ML (support vector machines) to MRI data (regional cortical thickness, surface area, subcortical volumes) from 853 BD and 2167 control participants from 13 cohorts in the ENIGMA consortium. We attempted to differentiate BD from control participants, investigated different data handling strategies and studied the neuroimaging/clinical features most important for classification. Individual site accuracies ranged from 45.23% to 81.07%. Aggregate subject-level analyses yielded the highest accuracy (65.23%, 95% CI = 63.47-67.00, ROC-AUC = 71.49%, 95% CI = 69.39-73.59), followed by leave-one-site-out cross-validation (accuracy = 58.67%, 95% CI = 56.70-60.63). Meta-analysis of individual site accuracies did not provide above chance results. There was substantial agreement between the regions that contributed to identification of BD participants in the best performing site and in the aggregate dataset (Cohen's Kappa = 0.83, 95% CI = 0.829-0.831). Treatment with anticonvulsants and age were associated with greater odds of correct classification. Although short of the 80% clinically relevant accuracy threshold, the results are promising and provide a fair and realistic estimate of classification performance, which can be achieved in a large, ecologically valid, multi-site sample of BD participants based on regional neurostructural measures. Furthermore, the significant classification in different samples was based on plausible and similar neuroanatomical features. Future multi-site studies should move towards sharing of raw/voxelwise neuroimaging data.

Improving Functioning, Quality of Life, and Well-being in Patients With Bipolar Disorder.

People with bipolar disorder frequently experience persistent residual symptoms, problems in psychosocial functioning, cognitive impairment, and poor quality of life. In the last decade, the treatment target in clinical and research settings has focused not only on clinical remission, but also on functional recovery and, more lately, in personal recovery, taking into account patients' well-being and quality of life. Hence, the trend in psychiatry and psychology is to treat bipolar disorder in an integrative and holistic manner. This literature review offers an overview regarding psychosocial functioning in bipolar disorder. First, a brief summary is provided regarding the definition of psychosocial functioning and the tools to measure it. Then, the most reported variables influencing the functional outcome in patients with bipolar disorder are listed. Thereafter, we include a section discussing therapies with proven efficacy at enhancing functional outcomes. Other possible therapies that could be useful to prevent functional decline and improve functioning are presented in another section. Finally, in the last part of this review, different interventions directed to improve patients' well-being, quality of life, and personal recovery are briefly described.

Testing the efficacy of INtegral Cognitive REMediation (INCREM) in major depressive disorder: study protocol for a randomized clinical trial.

BACKGROUND: Given the limitation of pharmacological treatments to treat cognitive symptoms in patients with Major Depressive Disorder (MDD), cognitive remediation programs has been proposed as a possible procognitive intervention but findings are not conclusive. This study investigates the efficacy of an INtegral Cognitive REMediation (INCREM) that includes a combination of a Functional Remediation (FR) strategy plus a Computerized Cognitive Training (CCT) in order to improve not only cognitive performance but also the psychosocial functioning and the quality of life. METHODS: A single blind randomized controlled clinical trial in 81 patients with a diagnosis of MDD in clinical remission or in partial remission. Participants will be randomized to one of three conditions: INCREM (FR + CCT), Psychoeducation plus online games and Treatment As Usual (TAU). Intervention will consist in 12 group sessions, of approximately 110 min once a week. The primary outcome measure will be % of change in psychosocial functioning after treatment measured by the Functional Assessment Short Test (FAST); additionally, number of sick leaves and daily activities will also be recorded as pragmatic outcomes. DISCUSSION: To our knowledge, this is the first randomized controlled clinical trial using a combination of two different approaches (FR + CCT) to treat the present cognitive deficits and to promote their improvements into a better psychosocial functioning. TRIAL REGISTRATION: Clinical Trials NCT03624621 . Date registered 10th of August 2018 and last updated 24th August 2018.

Cognitive Impairment in Bipolar Disorder: Treatment and Prevention Strategies.

Over the last decade, there has been a growing appreciation of the importance of identifying and treating cognitive impairment associated with bipolar disorder, since it persists in remission periods. Evidence indicates that neurocognitive dysfunction may significantly influence patients' psychosocial outcomes. An ever-increasing body of research seeks to achieve a better understanding of potential moderators contributing to cognitive impairment in bipolar disorder in order to develop prevention strategies and effective treatments. This review provides an overview of the available data from studies examining treatments for cognitive dysfunction in bipolar disorder as well as potential novel treatments, from both pharmacological and psychological perspectives. All these data encourage the development of further studies to find effective strategies to prevent and treat cognitive impairment associated with bipolar disorder. These efforts may ultimately lead to an improvement of psychosocial functioning in these patients.

Impact of childhood trauma on cognitive profile in bipolar disorder.

OBJECTIVES: Bipolar Disorder (BD) is associated with cognitive impairment even during remission periods. Nonetheless, this impairment seems to adjust to different profiles of severity. Our aim was to examine the potential impact of childhood trauma (CT) on cognitive performance and, more specifically, on neurocognitive profile membership. METHODS: Using a data-driven strategy, 113 euthymic bipolar patients were grouped according to their cognitive performance using a hierarchical clustering technique. Patients from the three resulting clusters, the so-called "low", "average", and "high performance" groups, were then compared in terms of main sociodemographic, clinical and functioning variables, including CT measures. One-way ANOVA, a chi-square test and partial correlations were used for this purpose, as appropriate. A multinomial logistic regression model was used to determine which variables contributed to neurocognitive clustering membership. RESULTS: Patients from the three neurocognitive clusters differed in terms of sociodemographic, clinical, functioning and CT variables. Scores on the Childhood Trauma Questionnaire (CTQ), especially on the physical negligence subscale, were also associated with a poor cognitive performance. The multinomial regression model indicated that CTQ total scores and the estimated intelligence quotient (IQ) significantly contributed to differentiation among the three neurocognitive groups. CONCLUSIONS: Our results confirmed that CT significantly impacts on cognitive performance during adulthood in BD. The data obtained suggest that a history of CT could act as a liability marker for cognitive impairment. A higher estimated IQ may act as a protective factor against cognitive decline in this group of patients.

Self-monitoring and psychoeducation in bipolar patients with a smart-phone application (SIMPLe) project: design, development and studies protocols.

BACKGROUND: New technologies have recently been used for monitoring signs and symptoms of mental health illnesses and particularly have been tested to improve the outcomes in bipolar disorders. Web-based psychoeducational programs for bipolar disorders have also been implemented, yet to our knowledge, none of them have integrated both approaches in one single intervention. The aim of this project is to develop and validate a smartphone application to monitor symptoms and signs and empower the self-management of bipolar disorder, offering customized embedded psychoeducation contents, in order to identify early symptoms and prevent relapses and hospitalizations. METHODS/DESIGN: The project will be carried out in three complementary phases, which will include a feasibility study (first phase), a qualitative study (second phase) and a randomized controlled trial (third phase) comparing the smartphone application (SIMPLe) on top of treatment as usual with treatment as usual alone. During the first phase, feasibility and satisfaction will be assessed with the application usage log data and with an electronic survey. Focus groups will be conducted and technical improvements will be incorporated at the second phase. Finally, at the third phase, survival analysis with multivariate data analysis will be performed and relationships between socio-demographic, clinical variables and assessments scores with relapses in each group will be explored. DISCUSSION: This project could result in a highly available, user-friendly and not costly monitoring and psychoeducational intervention that could improve the outcome of people suffering from bipolar disorders in a practical and secure way. TRIAL REGISTRATION: Clinical Trials.gov: NCT02258711 (October 2014).

e-HCL-32: a useful, valid and user friendly tool in the screening of bipolar II disorder.

BACKGROUND AND OBJECTIVES: Bipolar type II (BDII) is a frequent disorder with high morbidity and mortality, characterized by depressive and hypomanic episodes. Early diagnosis can be effective in improving long-term prognosis. However, diagnosing BDII is challenging due to the difficulty in detecting past hypomanic episodes. The HCL-32 is a widely used and reliable screening instrument for the detection of past hypomanic episodes. Making this tool available to more patients could help diagnose and treat undetected cases of BDII earlier. New technologies such as the Internet have been previously used for this purpose with favorable outcomes. Accordingly, the objective of this study is to evaluate the acceptability, validity, reliability and equivalence of an online version of this questionnaire. METHODS: From May 2012 to March 2013, 52 participants attending an outpatient mental health clinic completed a paper version of the HCL-32 (HCL-32) and its online version (e-HCL-32) within two weeks. After its completion, they were asked to answer a brief satisfaction survey. RESULTS: No differences were found (HCL-32 mean total score=17.73 (SD=7.37), e-HCL-32 mean total score=18.28 (SD=7.09). T=-1.720, p=0.092, 95% CI=-1.21 to 0.09) between the results of the paper and pencil HCL-32 compared to its online version (e-HCL-32). The psychometric properties of the online version of the hypomania checklist (e-HCL-32) were good and comparable to the paper and pencil version. 80% of participants found online questionnaires to be easier to answer and more user-friendly. CONCLUSION: The results of this study support the use of an online screening tool for the detection of previous hypomanic episodes (necessary for BDII diagnosis) as it showed to have a similar validity and reliability to the traditional paper and pencil method.

Making sense of DSM-5 mania with depressive features.

OBJECTIVE: The assessment of the depressive component during mania has become critical for the accurate diagnosis of mixed states, which were defined very narrowly in the past classification systems before Diagnostic and Statistical Manual of Mental Disorders (5th ed.). The aim of this study was to compare socio-demographic, clinical and therapeutic characteristics, as well as clinical and functional outcomes, between manic patients with and without mixed features to validate the relevance of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) mixed specifier. METHODS: This is a subanalysis of a multicentre naturalistic study MANía Aguda y COnsumo de Recursos (acute mania and health resource consumption [MANACOR]) on the burden of mania in bipolar patients from four hospitals in Catalonia (Spain). The sample consisted of 169 adult patients presenting a manic episode and systematically assessed during a 6-month period. RESULTS: A total of 27% (n = 46/169) of manic patients showed mixed features. Total number of episodes (p = 0.027), particularly depressive and mixed, was greater in manic patients with mixed features, as well as depressive onset (p = 0.018), suicide ideation (p = 0.036), rapid cycling (p = 0.035) and personality disorders (p = 0.071). In contrast, a higher percentage of pure manic subjects were inpatients (p = 0.035), started the illness with mania (p = 0.018) and showed family history of bipolar disorder (p = 0.037), congruent psychotic symptoms (p = 0.001) and cannabis use (p = 0.006). At baseline, pure manic patients received more risperidone (p = 0.028), while mixed patients received more valproate (p = 0.049) and antidepressants (p = 0.005). No differences were found in syndromic recovery at the end of the study. However, depressive change was higher in the mixed group (p = 0.010), while manic change was higher in the pure manic group (p = 0.029). At the end of follow-up, the group with mixed features showed a significant trend towards higher psychosocial dysfunction. CONCLUSION: A total of 27% of manic patients showed mixed features. Groups differed regarding clinical characteristics, course of illness, psychosocial functioning, prescribed treatment and symptom progress. Depressive symptoms in mania should be routinely assessed and considered to guide treatment.

Identifying neurocognitive heterogeneity in Older Adults with Bipolar Disorder: a cluster analysis.

BACKGROUND: Cognitive profiles of BD patients show a demonstrated heterogeneity among young and middle-aged patients, but this issue has not yet deeply explored in Older Adults with bipolar disorder (OABD). The aim of the present study was to analyze cognitive variability in a sample of OABD. METHODS: A total of 138 OABD patients and 73 healthy controls were included in this study. A comprehensive neuropsychological assessment was administered. We performed a k-means cluster analysis method based on the neurocognitive performance to detect heterogeneous subgroups. Demographic, clinical, cognitive and functional variables were compared. Finally, univariate logistic regressions were conducted to detect variables associated with the severity of the cognitive impairment. RESULTS: We identified three distinct clusters based on the severity of cognitive impairment: (1) a preserved group (n = 58; 42%) with similar cognitive performance to HC, (2) a group showing mild cognitive deficits in all cognitive domains (n = 64; 46%) and, finally, (3) a group exhibiting severe cognitive impairment (n = 16; 12%). Older age, late onset, higher number of psychiatric admissions and lower psychosocial functioning were associated with the greatest cognitive impairment. Lower age, more years of education and higher estimated IQ were associated with a preserve cognitive functioning. LIMITATIONS: The small sample size of the severely impaired group. CONCLUSIONS: Cognitive heterogeneity remains at late-life bipolar disorder. Demographic and specific illness factors are related to cognitive dysfunction. Detecting distinct cognitive subgroups may have significant clinical implications for tailoring specific intervention strategies adapted to the level of the impairment and also to prevent cognitive decline.

Sex differences in neurocognitive and psychosocial functioning in bipolar disorder.

BACKGROUND: Sex differences influence the clinical characteristics and course of illness of bipolar disorder (BD). OBJECTIVE: Therefore, the aim of the present study was to examine the role of sex differences in neurocognitive performance and psychosocial functioning in a large sample of euthymic patients suffering from BD. METHODS: The sample included 462 individuals, 347 patients with BD (148 males and 199 females) and 115 healthy controls (HC) (45 males and 70 females). Performance on a comprehensive neuropsychological battery assessing six cognitive domains and psychosocial functioning was compared between groups using linear mixed models, with sex and group as main effects, group by sex interactions and center as a random effect. RESULTS: Males performed better than females in working memory (p < 0.001), whereas females outperformed males in the verbal learning (p = 0.03) and memory recognition (p = 0.03) tasks. No significant group by sex interactions were detected in cognitive performance. There were no overall sex differences or group by sex interactions in psychosocial functioning. LIMITATIONS: Lack of assessment of visuo-spatial working memory. CONCLUSIONS: There were no overall sex differences in neurocognition and psychosocial functioning. However, small sex differences in some measures of working memory and verbal memory were found. Individual differences of each patient, including sex perspective, should be considered in order to perform a tailored intervention plan adjusted to specific needs in the context of personalized treatment.

Virtual Ontogeny of Cortical Growth Preceding Mental Illness.

BACKGROUND: Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/perinatal periods may be reflected in individual variations in cortical surface area later in life. METHODS: Interregional profiles of group differences in surface area between cases and controls were generated using T1-weighted magnetic resonance imaging from 27,359 individuals including those with attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, schizophrenia, and high general psychopathology (through the Child Behavior Checklist). Similarity of interregional profiles of group differences in surface area and prenatal cell-specific gene expression was assessed. RESULTS: Across the 11 cortical regions, group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices. The same interregional profiles were also associated with interregional profiles of (prenatal) gene expression specific to proliferative cells, namely radial glia and intermediate progenitor cells (greater expression, larger difference), as well as differentiated cells, namely excitatory neurons and endothelial and mural cells (greater expression, smaller difference). Finally, these cell types were implicated in known pre/perinatal risk factors for psychosis. Genes coexpressed with radial glia were enriched with genes implicated in congenital abnormalities, birth weight, hypoxia, and starvation. Genes coexpressed with endothelial and mural genes were enriched with genes associated with maternal hypertension and preterm birth. CONCLUSIONS: Our findings support a neurodevelopmental model of vulnerability to mental illness whereby prenatal risk factors acting through cell-specific processes lead to deviations from typical brain development during pregnancy.

Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working Group.

BACKGROUND: Bipolar disorder (BD) is associated with cortical and subcortical structural brain abnormalities. It is unclear whether such alterations progressively change over time, and how this is related to the number of mood episodes. To address this question, we analyzed a large and diverse international sample with longitudinal magnetic resonance imaging (MRI) and clinical data to examine structural brain changes over time in BD. METHODS: Longitudinal structural MRI and clinical data from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) BD Working Group, including 307 patients with BD and 925 healthy control subjects, were collected from 14 sites worldwide. Male and female participants, aged 40 ± 17 years, underwent MRI at 2 time points. Cortical thickness, surface area, and subcortical volumes were estimated using FreeSurfer. Annualized change rates for each imaging phenotype were compared between patients with BD and healthy control subjects. Within patients, we related brain change rates to the number of mood episodes between time points and tested for effects of demographic and clinical variables. RESULTS: Compared with healthy control subjects, patients with BD showed faster enlargement of ventricular volumes and slower thinning of the fusiform and parahippocampal cortex (0.18

Does cognitive impairment in bipolar disorder impact on a SIMPLe app use?

BACKGROUND: Smartphone apps are becoming increasingly used by service users in mental health care and research for diverse aims. However, it is well-known the high prevalence of cognitive impairment in some people suffering from severe mental illnesses such as bipolar disorder (BD), which impacts on their psychosocial functioning and quality of life. In this context, the main aim of this paper is to investigate through exploratory analyses the role of specific cognitive deficits in the retention, engagement, and usability of a psychoeducational smartphone app in a group of patients with BD. METHODS: 51 remitted BD patients were asked to use the app for 3 months. Baseline and 3-months follow-up clinical and usability assessments were conducted. Twenty-seven independent results from a comprehensive neurocognitive test of the same participants were retrieved separately of the 2 years before or after the use of the app. Post-hoc exploratory analyses were carried out using Spearman correlations to identify significant cognitive deficits domains influencing the usability and retention with the app. RESULTS: There were no statistically significant cognitive variables associated with the use, reported usability or retention with the app. Some variables associated with executive functions, verbal and visual memory correlated significantly with previous use of smartphones. LIMITATIONS: Post-hoc analysis with a limited sample size. CONCLUSION: These preliminary results suggests that patients with BD and mild cognitive deficits do not present any limitation in using mental health apps. In our case, the adoption of a user-centred design in the development process of the app could have mitigated the participants' difficulties when using the app.

Self-reported neurocognitive symptoms during COVID-19 lockdown and its associated factors in a sample of psychiatric patients. Results from the BRIS-MHC study.

Lockdown caused by COVID-19 pandemic has a negative impact on mental health. The aim was to assess self-reported neurocognitive symptoms during the lockdown and identify associated vulnerable and protective factors in a sample of psychiatric patients in a Spanish population. These results are part of the Barcelona ResIlience Survey for Mental Health COVID-19 (BRIS-MHC) project. Neurocognitive symptoms were assessed through an online survey considering the five items that represented self-reported neurocognitive complaints. We split the sample into two groups based on the severity of the self-reported neurocognitive complaints: intact cognitive function/mild cognitive impairment (CI-) and moderate/severe cognitive impairment (CI+). Univariate analyses were used to compare both groups in terms of sociodemographic and clinical variables. Multiple logistic regression models were carried out to identify clinical variables and coping strategies associated with neurocognitive symptoms. 198 patients with different psychiatric diagnoses were included in this study. One hundred seventeen patients were classified in the CI- group and 81 in the CI+ group. Depressive symptoms and negative psychotic-like symptoms were vulnerable factors for neurocognitive impairment. Coping strategies of performing physical activity, carrying out relaxing activities and maintaining a routine were protective factors against cognitive impairment. Lockdown situation negatively impact on neurocognitive function. Psychopathological symptoms and coping strategies were associated with neurocognitive symptoms during lockdown in subjects with psychiatric illness. The early treatment of psychopathological symptoms in psychiatric patients and promoting coping strategies during lockdown should be considered an intervention strategy against cognitive impairment.

Validity of the Shahin Mixed Depression Scale: A Self-Rated Instrument Designed to Measure the Non-DSM Mixed Features in Depression.

BACKGROUND: The DSM5-defined mixed features in depression do not include psychomotor agitation, irritability or distractibility because they are considered overlapping symptoms. A growing number of modern psychiatrists have expressed dissatisfaction with this and proposed alternative sets of mixed symptoms that are much more common and clinically relevant. Among such alternative criteria were those proposed by Koukopoulos. He utilized the research diagnostic criteria of agitated depression (RDC-A) as a mixed depression subtype, and validated another form of mixed depression, the Koukopoulos criteria for mixed depression (K-DMX). PURPOSE: This study provides psychometric validation for the first self-rated scale designed to measure the most common mixed symptoms in depression as proposed by Koukopoulos. PATIENTS AND METHODS: We conducted a multicenter cross-sectional study of 170 patients with unipolar depression. They completed the Shahin Mixed Depression Scale (SMDS) and underwent expert interviews as a gold standard reference. SMDS' psychometric properties were assessed, including Cronbach's alpha, factor analysis, sensitivity, specificity, predictive value and accuracy. RESULTS: We found significant association and agreement between mixity according to SMDS and the gold standard (K-DMX and RDC-A according to expert interview) with good internal consistency (Cronbach's alpha=0.87), high sensitivity (=91.4%), specificity (=98.0%), positive predictive value (=96.9%), negative predictive value (= 94.2%) and accuracy (=95.2%). Factor analysis identified one factor for psychomotor agitation and another for mixity without psychomotor agitation. CONCLUSION: SMDS was a reliable and valid instrument for assessing the frequently encountered and clinically relevant mixed features in depression.