Validity and reliability of the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) in Brazilian bipolar patients

Introduction: In Brazil, there is no valid instrument to measure subjective cognitive dysfunction in bipolar disorder. The present study analyzed the psychometric properties of the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA) in Brazilian bipolar patients. We further investigated the relationship between the COBRA, objective cognitive measures, and illness course variables. Methods: The total sample (N=150) included 85 bipolar disorder patients and 65 healthy controls. The psychometric properties of the COBRA (e.g., internal consistency, concurrent validity, discriminative validity, factor analyses, ROC curve, and feasibility) were analyzed. Results: The COBRA showed a one-factor structure with very high internal consistency (Cronbach’s alpha=0.890). Concurrent validity was indicated by a strong correlation with the cognitive domain of the FAST (r=0.811, p<0.001). Bipolar patients experienced greater cognitive complaints (mean=14.69; standard deviation [SD]=10.03) than healthy controls (mean=6.78; SD=5.49; p<0.001), suggesting discriminative validity of the instrument. No significant correlations were found between the COBRA and objective cognitive measures. Furthermore, higher COBRA scores were associated with residual depressive (r=0.448; p<0.001) and manic (r=0.376; p<0.001) symptoms, number of depressive episodes (r=0.306; p=0.011), number of total episodes (r=0.256; p=0.038), and suicide attempts (r=0.356; p=0.003). Conclusion: The COBRA is a valid instrument to assess cognitive complaints, and the combined use of subjective-objective cognitive measures enables the correct identification of cognitive dysfunctions in bipolar disorder.Introdução: No Brasil, não existem instrumentos válidos para medir a disfunção cognitiva subjetiva no transtorno bipolar. O presente estudo analisou as propriedades psicométricas da Escala de Disfunções Cognitivas no Transtorno Bipolar (COBRA) em uma amostra brasileira de pacientes bipolares. Adicionalmente, investigamos a relação entre a COBRA, medidas cognitivas objetivas e curso da doença. Métodos: A amostra total (n=150) incluiu 85 pacientes com transtorno bipolar e 65 controles saudáveis. As propriedades psicométricas da COBRA (consistência interna, validade concorrente, validade discriminativa, análise fatorial, curva ROC e fidedignidade) foram analisadas. Resultados: A COBRA apresentou estrutura de um fator com alta consistência interna (alfa de Cronbach=0,890). A validade concorrente ficou demonstrada pela forte correlação com o domínio cognitivo da FAST (r=0,811, p<0,001). Pacientes bipolares tiveram mais queixas cognitivas [média=14,69; desvio padrão (DP)=10,03] que os controles (média=6,78; DP=5,49; p<0,001), sugerindo a validade discriminativa do instrumento. Não houve correlação significativa entre a COBRA e medidas cognitivas objetivas. Além disso, escores mais altos na COBRA estiveram associados com sintomas residuais depressivos (r=0,448; p<0,001) e maníacos (r=0,376; p<0,001), número de episódios depressivos (r=0,306; p=0,011), número de episódios totais (r=0.256; p=0.038) e tentativas de suicídio (r=0,356; p=0,003). Conclusão: A COBRA é um instrumento válido para avaliar queixas cognitivas, e o uso combinado das medidas cognitivas subjetivas-objetivas possibilita a correta identificação das disfunções cognitivas no transtorno bipolar

Neuroprogression in post-traumatic stress disorder : a systematic review

Introduction: Neuroprogression has been proposed as the pathological rewiring of the brain that takes place in parallel with clinical and neurocognitive deterioration in the course of psychiatric disorders. This study aims to review the biological underpinnings and clinical outcomes related to neuroprogression in post-traumatic stress disorder (PTSD). Methods: We performed a systematic review by searching PubMed, Embase, and Web of Science for articles published between January 1, 1960, and January 6, 2020. Inclusion criteria were met when articles assessed brain changes, neurocognition, functioning, inflammation, oxidative stress, and neurotrophins in patients with PTSD. Narrative review articles, case reports, and preclinical studies were excluded. Results: A total of 965 abstracts were identified and 15 articles were included in our systematic review. It seems that for a subset of patients whose symptoms worsen or are maintained at a high intensity there is a progressive change in the frontal lobe, especially the prefrontal cortex, and worsening of both neurocognition (verbal memory and facial recognition) and functioning (physical, psychological, social and environmental). Conclusion: Although current findings associate progressive reduction in frontal lobe size with neurocognitive impairment, further research is needed to characterize PTSD as a neuroprogressive disorder

Depression, anxiety, and lifestyle among essential workers : a web survey from Brazil and Spain during the covid-19 pandemic

Background: Essential workers have been shown to present a higher prevalence of positive screenings for anxiety and depression during the COVID-19 pandemic. Individuals from countries with socioeconomic inequalities may be at increased risk for mental health disorders. Objective: We aimed to assess the prevalence and predictors of depression, anxiety, and their comorbidity among essential workers in Brazil and Spain during the COVID-19 pandemic. Methods: A web survey was conducted between April and May 2020 in both countries. The main outcome was a positive screening for depression only, anxiety only, or both. Lifestyle was measured using a lifestyle multidimensional scale adapted for the COVID-19 pandemic (Short Multidimensional Inventory Lifestyle Evaluation–Confinement). A multinomial logistic regression model was performed to evaluate the factors associated with depression, anxiety, and the presence of both conditions. Results: From the 22,786 individuals included in the web survey, 3745 self-reported to be essential workers. Overall, 8.3% (n=311), 11.6% (n=434), and 27.4% (n=1027) presented positive screenings for depression, anxiety, and both, respectively. After adjusting for confounding factors, the multinomial model showed that an unhealthy lifestyle increased the likelihood of depression (adjusted odds ratio [AOR] 4.00, 95% CI 2.72-5.87), anxiety (AOR 2.39, 95% CI 1.80-3.20), and both anxiety and depression (AOR 8.30, 95% CI 5.90-11.7). Living in Brazil was associated with increased odds of depression (AOR 2.89, 95% CI 2.07-4.06), anxiety (AOR 2.81, 95%CI 2.11-3.74), and both conditions (AOR 5.99, 95% CI 4.53-7.91). Conclusions: Interventions addressing lifestyle may be useful in dealing with symptoms of common mental disorders during the strain imposed among essential workers by the COVID-19 pandemic. Essential workers who live in middle-income countries with higher rates of inequality may face additional challenges. Ensuring equitable treatment and support may be an important challenge ahead, considering the possible syndemic effect of the social determinants of health

Socioeconomic and substance use changes in emerging adults and their relationship with mood disorders in a population-based cohort

In this report, we aim to assess the interaction of bipolar disorder and major depressive disorder with the evolution of social roles, economic classification, and substance misuse in emerging adults. This is a longitudinal population-based study (n = 231 at baseline), in which participants were reassessed at a mean of 5 years after baseline. A structured clinical interview was used to diagnose the participants with bipolar disorder and major depression; a control group without mood disorders was included. Men with mood disorders were less likely to be married in the beginning of the study and less likely to work in the follow-up. Women with major depression were less likely to study and more likely to be in a lower economic class at the beginning of the study. In comparison, women with bipolar disorder were less likely to live with their parents and more likely to live with their children in the first wave of the study. Substance misuse was more likely in people with mood disorders, especially in men, and women with bipolar disorder had the highest likelihood in the follow-up. Albeit longitudinal analyses were limited by a possibly insufficient sample size and mediating mechanisms for change, such as stigma, were not explored, the study suggests sex-related specificities regarding the change in social roles and substance use in people with mood disorders. Emerging adults, especially those with mood disorders, are in a period of change and instability and at a greater risk for substance use and abuse

Predicting criminal and violent outcomes in psychiatry : a meta-analysis of diagnostic accuracy

Although reducing criminal outcomes in individuals with mental illness have long been a priority for governments worldwide, there is still a lack of objective and highly accurate tools that can predict these events at an individual level. Predictive machine learning models may provide a unique opportunity to identify those at the highest risk of criminal activity and facilitate personalized rehabilitation strategies. Therefore, this systematic review and meta-analysis aims to describe the diagnostic accuracy of studies using machine learning techniques to predict criminal and violent outcomes in psychiatry. We performed meta-analyses using the mada, meta, and dmetatools packages in R to predict criminal and violent outcomes in psychiatric patients (n = 2428) (Registration Number: CRD42019127169) by searching PubMed, Scopus, and Web of Science for articles published in any language up to April 2022. Twenty studies were included in the systematic review. Overall, studies used single-nucleotide polymorphisms, text analysis, psychometric scales, hospital records, and resting-state regional cerebral blood flow to build predictive models. Of the studies described in the systematic review, nine were included in the present meta-analysis. The area under the curve (AUC) for predicting violent and criminal outcomes in psychiatry was 0.816 (95% Confidence Interval (CI): 70.57–88.15), with a partial AUC of 0.773, and average sensitivity of 73.33% (95% CI: 64.09–79.63), and average specificity of 72.90% (95% CI: 63.98–79.66), respectively. Furthermore, the pooled accuracy across models was 71.45% (95% CI: 60.88–83.86), with a tau squared (τ 2 ) of 0.0424 (95% CI: 0.0184–0.1553). Based on available evidence, we suggest that prospective models include evidence-based risk factors identified in prior actuarial models. Moreover, there is a need for a greater emphasis on identifying biological features and incorporating novel variables which have not been explored in prior literature. Furthermore, available models remain preliminary, and prospective validation with independent datasets, and across cultures, will be required prior to clinical implementation. Nonetheless, predictive machine learning models hold promise in providing clinicians and researchers with actionable tools to improve how we prevent, detect, or intervene in relevant crime and violent-related outcomes in psychiatry

Metabolic syndrome and psychiatric disorders : a population-based study

Objective: To identify the association of metabolic syndrome (MetS) and psychiatric disorders in young adults in southern Brazil. Methods: This population based cross-sectional study involved a total of 1,023 young adults between the ages of 21 and 32 years. Current episodes of psychiatric disorders were assessed using the Mini International Neuropsychiatric Interview – Plus version. MetS was evaluated using the National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III). Results: Of the 1,023 participants, 24.3% were identified with MetS, 13.5% were diagnosed with anxiety disorders, 7.5% with current depression, 3.9% with bipolar disorders and 10.1% were at risk of suicide. MetS was associated with ethnicity (p = 0.022), excess weight (p o 0.001), current anxiety disorders (p o 0.001), current mood disorders (bipolar disorder in mood episode and current depression) (p o 0.001), and suicide risk (p o 0.001). Conclusions: MetS was associated with psychiatric disorders. Awareness of factors associated with MetS can help identify high-risk individuals and stimulate disease prevention and control programs, as well as lifestyle changes