Objectives: To summarize evidence-based cognitive-behavioral therapy (CBT) treatment and propose clinical interventions for adult patients with obsessive-compulsive disorder (OCD). Methods: The literature on CBT interventions for adult OCD, including BT and exposure and response prevention, was systematically reviewed to develop updated clinical guidelines for clinicians, providing comprehensive details about the necessary procedures for the CBT protocol. We searched the literature from 2013-2020 in five databases (PubMed, Cochrane, Embase, PsycINFO, and Lilacs) regarding study design, primary outcome measures, publication type, and language. Selected articles were assessed for quality with validated tools. Treatment recommendations were classified according to levels of evidence developed by the American College of Cardiology and the American Heart Association. Results: We examined 44 new studies used to update the 2013 American Psychiatric Association guidelines. High-quality evidence supports CBT with exposure and response prevention techniques as a first-line treatment for OCD. Protocols for Internet-delivered CBT have also proven efficacious for adults with OCD. Conclusion: High-quality scientific evidence supports the use of CBT with exposure and response prevention to treat adults with OCD.

Objectives: To examine drug overdose records in Brazil from 2000 to 2020, analyzing trends over time in overdoses and overall sociodemographic characteristics of the deceased. Methods: Using data from the Brazilian Mortality Information System (Sistema de Informações sobre Mortalidade), we identified records from 2000-2020 in which the underlying cause-of-death was one of the following codes: X40-X45 (accidental poisoning), X60-X65 (intentional poisoning), or Y10-Y15 (undetermined intentionality poisoning). The Brazilian dataset included 21,410 deaths. We used joinpoint regression analysis to assess changes in trends over time. Results: People who died of drug overdoses in Brazil between 2000 and 2020 had a mean age of 38.91 years; 38.45% were women, and 44.01% were identified as White. Of the overdose deaths, 44.70% were classified as intentional and 32.12% were classified as unintentional. Among the identified drugs, stimulants were the most common class. However, most records did not report which drug was responsible for death. Conclusion: Sociodemographic trends in overdose deaths in Brazil must guide country-specific policies. Nevertheless, data collection protocols must be improved, particularly regarding the drug used in overdoses.

Objectives: To determine the prevalence and correlates of treatment-resistant schizophrenia (TRS) through a systematic review and meta-analysis. Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, an electronic search was performed in PubMed and Embase through May 17, 2022. All study designs that assessed a minimum of 20 schizophrenia-spectrum patients and provided data on TRS prevalence or allowed its calculation were included. Estimates were produced using a random-effects model meta-analysis. Results: The TRS prevalence across 50 studies (n = 29,390) was 36.7% (95%CI 33.1-40.5, p < 0.0001). The prevalence ranged from 22% (95%CI 18.4-25.8) in first-episode to 39.5% (95%CI 32.2-47.0) in multiple-episode samples (Q = 18.27, p < 0.0001). Primary treatment resistance, defined as no response from the first episode, was 23.6% (95%CI 20.5-26.8) vs. 9.3% (95%CI 6.8-12.2) for later-onset/secondary (≥ 6 months after initial treatment response). Longer illness duration and recruitment from long-term hospitals or clozapine clinics were associated with higher prevalence estimates. In meta-regression analyses, older age and poor functioning predicted greater TRS. When including only studies with lower bias risk, the TRS prevalence was 28.4%. Conclusion: Different study designs and recruitment strategies accounted for most of the observed heterogeneity in TRS prevalence rates. The results point to early-onset and later-onset TRS as two separate disease pathways requiring clinical attention. Registration number: PROSPERO CRD42018092033.

Objectives: To assess olfactory functions (threshold, identification, and hedonic valence) of depressed subjects before and after an 8-week trial of escitalopram and compare the results of responders and nonresponders. Methods: Fifty-two depressed subjects were recruited. Participants received escitalopram and were evaluated at two visits: baseline (V0) and week 8 (V8). They were categorized as responders (Montgomery-Åsberg Depression Rating Scale [MADRS] score reduction of > 50%) or nonresponders to treatment. Participants were evaluated with the Mini International Neuropsychiatric Interview (MINI) at V0 and, at V0 and V8, completed psychometric and olfactory assessments, including MADRS and the State-Trait Anxiety Inventory (STAI), as well as the Sniffin’ Sticks® test (threshold and identification tasks). The hedonic valence of smell was assessed on a 10-cm linear scale after presenting two pleasant and two unpleasant odors. Forty-three participants completed the study (24 responders and 19 nonresponders). The Mann-Whitney, chi-square, and Fisher’s exact tests were used to compare olfactory, clinical, and demographic variables between groups and within the same group at V0 and V8. The Spearman coefficient was used to calculate the correlation between clinical characteristics and olfactory variables. Results: The hedonic score of pleasant odors increased significantly between V0 and V8 only for responders (V = 61.5, p = 0.018), with no significant change in nonresponders (V = 90.5, p = 0.879). Comparison of olfactory performances between groups at V0 and V8 separately did not show a significant difference between responders and nonresponders to escitalopram. Olfactory threshold and identification scores were not different between V0 and V8 for responders or nonresponders. Conclusion: Depressed subjects have olfactory anhedonia, which appears to regress following a positive antidepressant response. Hedonic valence may be an indicator of cognitive changes associated with depression; improvement of this valence may indicate a clinical response to antidepressants.

Objectives: The present study analyzed the reciprocal relationships between four common pediatric ophthalmic diseases (i.e., hyperopia, myopia, astigmatism, and strabismus) and attention‐deficit/hyperactivity disorder (ADHD) in children. Methods: This study enrolled 86,028 children with ADHD and 1,798,673 children without ADHD in the Taiwan Maternal and Child Health Database who were born at any time from 2004 to 2017. Cox proportional hazards regression models were used to estimate the bidirectional relationships of the four ophthalmic diseases with ADHD in children after adjusting for age, sex, and gestational age at birth. Survival curves for time-to-event variables were estimated using the Kaplan-Meier method, and the log-rank test was used to compare the curves. Results: The results indicated that ADHD significantly predicted the occurrence of hyperopia, myopia, astigmatism, and strabismus. Furthermore, hyperopia, myopia, astigmatism, and strabismus significantly predicted the occurrence of ADHD. The time between enrollment and ADHD diagnosis was shorter for patients with ophthalmic diseases than for the control group, and the time between enrollment and ophthalmic disease diagnosis was also shorter for ADHD patients than for the control group. Sex differences were found in the associations between ADHD and ophthalmic diseases. Conclusion: Clinicians should monitor children with ADHD for hyperopia, myopia, astigmatism, and strabismus to ensure appropriate treatment, and vice versa.

Objectives: There is growing interest in examining the impacts of the coronavirus disease 2019 (COVID-19) pandemic on adolescent socioemotional development. This study aimed to examine changes in adolescent emotion regulation (ER), self-esteem (SE), and locus of control (LoC) from before to during the pandemic in a Brazilian birth cohort, and to investigate the variables associated with changes in those socioemotional competences. Methods: 1,949 adolescents from the 2004 Pelotas Birth Cohort were assessed before (T1, November 2019 to March 2020) and during (T2, August to December 2021) the COVID-19 pandemic (mean ages [SD] = 15.69 [0.19] and 17.41 [0.26], respectively). Adolescents’ socioemotional competences were assessed, including ER, SE, and LoC. Sociodemographic, pre-pandemic, and pandemic-related correlates were examined as predictors of change. Multivariate latent change score models were used in the analyses. Results: There were significant mean increases in adolescents’ ER and SE (mean ER = 1.918, p < 0.001; mean SE = 1.561, p = 0.001) and a significant mean decrease (towards internalization) in LoC levels (MLoC = -0.497, p < 0.01) during the pandemic. Factors that predicted a lower competency increase included family conflicts, harsh parenting, and maternal depressive symptoms during the pandemic. Conclusion: Despite the stress imposed by the COVID-19 pandemic, the adolescents of this cohort showed positive development in their socioemotional competences. Family-related factors emerged as important predictors of adolescent socioemotional adjustment during the study period.

Objectives: The most recent DSM-5 (2013) and ICD-11 (2018) diagnostic criteria for posttraumatic stress disorder (PTSD) encompass 20 and six symptoms, respectively, organized in different structures. This study aimed to investigate the dimensions of the Posttraumatic Stress Disorder Checklist 5 (PCL-5) according to the DSM-5’s broader definition of PTSD and the ICD-11’s narrower approach, as well as to explore an alternative restricted model that retains the core symptoms explicitly related to traumatic experiences. Methods: Data were gathered from Brazilian employees (n=1,101) who had directly experienced traumatic life events or had been exposed to them because of their work activities. Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were used to evaluate the configural and metric structures of the models. Results: We estimated seven models of the latent structure of PTSD including the four-factor DSM-5 and three-factor ICD-11 PTSD models. Given the lack of evidence of their validity, an alternative 10-symptom model was tested. The final seven-item PTSD model considerably improved estimation of the PTSD construct. This solution showed reliable items with non-redundant content, acceptable fit indices, and satisfactory configural and metric properties. Conclusion: The more parsimonious one-dimensional model comprising the core PTSD symptoms has the potential to improve assessment of PTSD.

Objectives: The kynurenine (KYN) pathway has been attracting attention as a relevant pathway in schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD). We conducted a systematic review and meta-analysis of studies examining KYN pathway metabolites from cerebrospinal fluid (CSF) samples in SZ, BD, and MDD. Methods: The PubMed and Scopus databases were systematically searched to identify peer-reviewed case-control studies published until April 2022 that assessed KYN metabolites, namely, tryptophan (TRP), KYN, kynurenic acid (KA), quinolinic acid (QA), and 3-hydroxykynurenine (3-HK), in subjects with SZ, BD, or MDD compared with healthy controls (HC). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The random effects model method was selected for comparison of standardized mean differences (SMD) between two groups. Results: Twenty-three articles met the inclusion criteria (k = 8, k = 8, k = 11, for SZ, BD, and MDD, respectively). In SZ, KA levels were increased (SMD = 2.64, confidence interval [CI] = 1.16 to 4.13, p = 0.0005, I2 = 96%, k = 6, n=384). TRP (k = 5) and KYN (k = 4) did not differ significantly. In BD, TRP levels (k = 7) did not differ significantly. The level of KA was increased in MDD (k = 2), but the small number of studies precluded evaluation of statistical significance. Finally, in MDD, although some studies tended to show an increased level of KYN in those with remission vs. decreased levels in those with current depression, no significant difference was found in any KYN metabolite levels. Similarly, an increased level of QA was found, but the number of studies (k = 2) was small. Conclusion: KA, which has possibly neuroprotective effects, is increased in SZ. QA, which has neurotoxic effects, may be increased in MDD. There were no alterations in BD. Alterations in the KYN pathway may occur based on population characteristics and mood states. Future studies should explore the utility of these metabolites as biomarkers.

Objectives: Electroconvulsive therapy (ECT) is commonly indicated for refractory psychiatric disorders. However, little research has compared response across diagnoses. Here, we aimed to evaluate the relative impact of diagnosis and clinical staging as response predictors in a cross-diagnostic sample. Methods: In a retrospective cohort of adult inpatients (n=287) who underwent at least six sessions of ECT, we investigated predictors of complete response (a clinical global impression of 1) to ECT. We use adjusted regression models to estimate the impact of clinical diagnosis and staging on complete response and dominance analysis to assess the relative importance of these predictors. Results: Those for whom a depressive episode was a primary indication for treatment were the most likely to have complete improvement, while those with psychosis were the least likely; clinical stage had a significant influence on outcome in all diagnoses. A diagnosis of psychosis was the strongest predictor of non-response. Conclusions: A diagnosis of psychosis (mainly schizophrenia) was the strongest predictor of non-response. We also found that clinical staging can aggregate information on ECT response that is independent of clinical diagnosis.

Objective: As the older population increases, it is important to identify factors that may reduce the risks of dementia in the general population. One such factor is the concept of cognitive reserve (CR). The present study analyzed the psychometric properties of the Cognitive Reserve Assessment Scale in Health (CRASH) in the Brazilian population. This scale was originally developed to measure CR in individuals with severe mental illness. We also investigated the relationship between the CRASH and clinical or sociodemographic variables. Methods: This study was conducted with 398 individuals. We assessed sociodemographic variables and depression, anxiety, and stress symptoms (Depression, Anxiety and Stress Scale [DASS-21]) using a web-based survey. We constructed a confirmatory factor analysis (CFA) model in order to test the goodness of fit of the factor structure proposed in the original CRASH study. Results: The McDonald’s hierarchical ω for CRASH using CFA parameters was 0.61, and the Cronbach’s alpha coefficient indicated good internal consistency when considering all items (alpha = 0.7). Conclusions: Our results suggest that CRASH can be used to assess CR in the general population in Brazil.