Revista Brasileira de Psiquiatria最新文献

Objective: Sleep problems are common in patients with psychotic disorders, especially schizophrenia. Although pharmacological methods are at the forefront of treatment, this method has some drawbacks. Cognitive behavioral therapy for insomnia (CBT-I) is an option for the treatment of individuals with insomnia. In recent years, there has been an increasing interest in its use in patients with psychotic disorders. This meta-analysis aims to evaluate the effectiveness of CBT-I on sleep problems in patients with psychotic disorders.

Methods: A systematic search was conducted using PubMed, Scopus, and EBSCO (MEDLINE) databases to identify relevant studies. The study included RCTs and uncontrolled studies that focused on participants diagnosed with schizophrenia, schizoaffective disorder, delusional disorder, psychotic disorders not otherwise specified, bipolar disorders, or unipolar depression with psychotic features, who had sleep problems for at least one month, and who were receiving treatment. The initial search yielded 246 studies, and eight studies were selected for the meta-analysis after screening and applying inclusion and exclusion criteria.The statistical analysis was conducted using the R software.

Results: CBT-I significantly ameliorates insomnia and sleep quality in patients with psychotic disorders during short and long-term periods. In addition to this, CBT-I leads to a significant improvement in psychotic symptoms in the short-term period and contributes significantly to the improvement in mental well-being in both short and long-term periods.

Conclusions: CBT-I is an effective and valuable method for sleep problems in patients with psychotic disorders and its use is recommended to be widespread.

Patient response to antipsychotic drugs varies and may be related to clinical and genetic heterogeneity. This study aimed to determine the performance of clinical, genetic, and hybrid models to predict the response of first episode of psychosis (FEP). patients to the antipsychotic risperidone. We evaluated 141 antipsychotic-naïve FEP patients before and after 10 weeks of risperidone treatment. Patients who had a response rate equal to or higher than 50% on the Positive and Negative Syndrome Scale were considered responders (n = 72; 51%). Analyses were performed using a support vector machine (SVM), k-nearest neighbors (kNN), and random forests (RF). Clinical and genetic (with single-nucleotide variants [SNVs]) models were created separately. Hybrid models (clinical+genetic factors) with and without feature selection were created. Clinical models presented greater balanced accuracy 63.3% (confidence interval [CI] 0.46-0.69) with the SVM algorithm than the genetic models (balanced accuracy: 58.5% [CI 0.41-0.76] - kNN algorithm). The hybrid model, which included duration of untreated psychosis, Clinical Global Impression-Severity scale scores, age, cannabis use, and 406 SNVs, showed the best performance (balanced accuracy: 72.9% [CI 0.62-0.84] - RF algorithm). A hybrid model, including clinical and genetic predictors, can provide enhanced predictions of response to antipsychotic treatment.

Objectives: To investigate the associations among symptoms of attention deficit hyperactivity disorder (ADHD) with binge eating spectrum conditions - BESC - [binge eating disorder (BED), bulimia nervosa (BN), and recurrent binge eating (RBE)], and psychiatric and somatic comorbidity and healthcare utilization in a representative sample of a Brazilian city.

Methods: A household survey with 2,297 adults and residents in Rio de Janeiro was conducted. The Adult Self-Rating Scale Screener was used to assess ADHD symptoms. BESC was assessed using the Questionnaire of Eating and Weight Patterns 5 and confirmed by telephone interview. Standardized questionnaires were used to assess psychiatric comorbidity. Close-ended questions investigated somatic comorbidity and healthcare utilization.

Results: ADHD symptoms were highly associated with BESC [BED, OR=13.2, 95%CI= 4.3-40.6; BN, OR=27.5, 95%CI= 5.9-128.7; RBE, OR=5.8, 95%CI= 2.9-11.4). However, with further adjustment for psychiatric comorbidity (depression, anxiety, alcohol use and impulsivity), the ORs were no longer significant. Healthcare resource utilization was significantly higher in participants with ADHD and BESC but lost significance after controlling for the psychiatric comorbidity.

Conclusion: ADHD was associated with an increased prevalence of BESC, and healthcare utilization. Nonetheless, there was an essential interplay among psychiatric comorbidity in the associations of ADHD and BESC.

Objective: Depression is a major public health problem. Many complementary and alternative medicine (CAM) interventions have been suggested as potential treatments.

Methods: We comprehensively searched for relevant systematic reviews and meta-analyses in the PubMed, EMBASE, Web of Science, and Cochrane Library databases. We assessed effectiveness based on efficiency and changes in Depression Assessment Scale scores and safety based on adverse events.

Results: This umbrella review included twenty-two eligible articles. Yueju antidepressant and Electro-acupuncture (EA) improved depression symptoms better than antidepressants. In addition, omega-3 fatty acids (n-3PUFAs), exercise, manual acupuncture (MA), Hypericum mono-preparations, relaxation, and Vitamin D showed better efficacy than placebo and control. GPD as adjunctive therapies have higher efficacy rates than antidepressant, and MA and Yueju antidepressants have a better safety profile than antidepressants.

Conclusion: Our study demonstrated that 10 CAMs can effectively improve the condition of patients with clinical depression.

Objective: Verbal communication has key information for mental health evaluation. Researchers have linked psychopathology phenomena to some of their counterparts in natural-language-processing (NLP). We study the characterization of subtle impairments presented in early stages of psychosis, developing new analysis techniques and a comprehensive map associating NLP features with the full range of clinical presentation.

Methods: We used NLP to assess elicited and free-speech of 60 individuals in at-risk-mental-states (ARMS) and 73 controls, screened from 4,500 quota-sampled Portuguese speaking citizens in Sao Paulo, Brazil. Psychotic symptoms were independently assessed with Structured-Interview-for-Psychosis-Risk-Syndromes (SIPS). Speech features (e.g.sentiments, semantic coherence), including novel ones, were correlated with psychotic traits (Spearman's-ρ) and ARMS status (general linear models and machine-learning ensembles).

Results: NLP features were informative inputs for classification, which presented 86% balanced accuracy. The NLP features brought forth (e.g. Semantic laminarity as 'perseveration', Semantic recurrence time as 'circumstantiality', average centrality in word repetition graphs) carried most information and also presented direct correlations with psychotic symptoms. Out of the standard measures, grammatical tagging (e.g. use of adjectives) was the most relevant.

Conclusion: Subtle speech impairments can be grasped by sensitive methods and used for ARMS screening. We sketch a blueprint for speech-based evaluation, pairing features to standard thought disorder psychometric items.

The profile investigation of crack cocaine dependents seeking addiction treatment within Sao Paulo's open drug use scene known as "Crackland" demonstrated that 20% of them reported consuming variations of Synthetic Cannabinoids. This equated to 1.054 patients in a span of four months (between 08/05/2023 to 08/09/2023). This preliminary finding is well-timed and holds significant value making it suitable for a briefer publication format, such as a letter, that can promptly disseminate this relevant information to the scientific community. Additional and complementary evidence expanding the discussion beyond the medical aspects of SC consumption is also provided. This figure is a clear indication of the shift in the population accessing this drug, now reaching the most vulnerable segment of our nation's population. The letter brings on further insights with a more social perspective, also discussing the intricate interplay between affordability, availability price and how criminal organizations are likely involved now with SC's control and distribution in Brazil.

Objective: We aim to investigate whether: 1) social skills (SS) are impaired in obsessive-compulsive disorder (OCD); 2) SS would change over the course of treatment; and 3) severity of OCD, age of onset of OCD symptoms and illness duration would be associated with SS impairments.

Methods: 41 treatment-naive patients with OCD and 34 control participants (CP) were assessed using a SS inventory. Patients were reevaluated 12-weeks after standardized treatment. Group differences, as well as the treatment effect on OCD symptomatology over time, were analyzed with independent and paired tests, respectively. OCD severity, age at illness onset and illness duration were tested as predictors of SS.

Results: Patients had lower total SS scores compared to controls (p-value < 0.001). After treatment, although OCD symptomatology (p-value < 0.001) improved, there was no statistical difference in SS performance (p-value = 0.673). Earlier age of onset of OCD symptoms predicted worse SS total score (p-value = 0.016).

Conclusion: This study suggests that, despite the amelioration of OCD symptomatology, there was no alteration in Social Skills (SS) performance. Subsequent treatment investigations incorporating larger sample sizes and extended follow-up periods could elucidate whether enhancements in social skills are likely to manifest over time.