Psychotropic drug repurposing for COVID-19: A Systematic Review and Meta-Analysis.

Several psychotropic drugs, including antidepressants (AD), mood stabilizers, and antipsychotics (AP) have been suggested to have favorable effects in the treatment of COVID-19. The aim of this systematic review and meta-analysis was to collect evidence from studies concerning the scientific evidence for the repurposing of psychotropic drugs in COVID-19 treatment. Two independent authors searched PubMed-MEDLINE, Scopus, PsycINFO, and ClinicalTrials.gov databases, and reviewed the reference lists of articles for eligible articles published up to 13th December 2021. All computational, preclinical and clinical (observational and/or RCTs) studies on the effect of any psychotropic drug on Sars-CoV-2 or patients with COVID-19 were considered for inclusion. We conducted random effect meta-analyses on clinical studies reporting the effect of AD or AP on COVID-19 outcomes. 29 studies were included in the synthesis: 15 clinical, 9 preclinical, and 5 computational studies. 9 clinical studies could be included in the quantitative analyses. AD did not increase the risk of severe COVID-19 (RR= 1.71; CI 0.65-4.51) or mortality (RR=0.94; CI 0.81-1.09). Fluvoxamine was associated with a reduced risk of mortality for COVID-19 (OR=0.15; CI 0.02-0.95). AP increased the risk of severe COVID-19 (RR=3.66; CI 2.76-4.85) and mortality (OR=1.53; CI 1.15-2.03). Fluvoxamine might be a possible candidate for psychotropic drug repurposing in COVID-19 due to its anti-inflammatory and antiviral potential, while evidence on other AD is still controversial. Although AP are associated with worse COVID-19 outcomes, their use should be evaluated case to case and ongoing treatment with antipsychotics should be not discontinued in psychiatric patients.

Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies.

BACKGROUND: Many people attending primary care (PC) have anxiety-depressive symptoms and work-related burnout compounded by a lack of resources to meet their needs. The COVID-19 pandemic has exacerbated this problem, and digital tools have been proposed as a solution. OBJECTIVE: We aimed to present the development, feasibility, and potential effectiveness of Vickybot, a chatbot aimed at screening, monitoring, and reducing anxiety-depressive symptoms and work-related burnout, and detecting suicide risk in patients from PC and health care workers. METHODS: Healthy controls (HCs) tested Vickybot for reliability. For the simulation study, HCs used Vickybot for 2 weeks to simulate different clinical situations. For feasibility and effectiveness study, people consulting PC or health care workers with mental health problems used Vickybot for 1 month. Self-assessments for anxiety (Generalized Anxiety Disorder 7-item) and depression (Patient Health Questionnaire-9) symptoms and work-related burnout (based on the Maslach Burnout Inventory) were administered at baseline and every 2 weeks. Feasibility was determined from both subjective and objective user-engagement indicators (UEIs). Potential effectiveness was measured using paired 2-tailed t tests or Wilcoxon signed-rank test for changes in self-assessment scores. RESULTS: Overall, 40 HCs tested Vickybot simultaneously, and the data were reliably transmitted and registered. For simulation, 17 HCs (n=13, 76% female; mean age 36.5, SD 9.7 years) received 98.8% of the expected modules. Suicidal alerts were received correctly. For the feasibility and potential effectiveness study, 34 patients (15 from PC and 19 health care workers; 76% [26/34] female; mean age 35.3, SD 10.1 years) completed the first self-assessments, with 100% (34/34) presenting anxiety symptoms, 94% (32/34) depressive symptoms, and 65% (22/34) work-related burnout. In addition, 27% (9/34) of patients completed the second self-assessment after 2 weeks of use. No significant differences were found between the first and second self-assessments for anxiety (t8=1.000; P=.34) or depressive (t8=0.40; P=.70) symptoms. However, work-related burnout scores were moderately reduced (z=-2.07, P=.04, r=0.32). There was a nonsignificant trend toward a greater reduction in anxiety-depressive symptoms and work-related burnout with greater use of the chatbot. Furthermore, 9% (3/34) of patients activated the suicide alert, and the research team promptly intervened with successful outcomes. Vickybot showed high subjective UEI (acceptability, usability, and satisfaction), but low objective UEI (completion, adherence, compliance, and engagement). Vickybot was moderately feasible. CONCLUSIONS: The chatbot was useful in screening for the presence and severity of anxiety and depressive symptoms, and for detecting suicidal risk. Potential effectiveness was shown to reduce work-related burnout but not anxiety or depressive symptoms. Subjective perceptions of use contrasted with low objective-use metrics. Our results are promising but suggest the need to adapt and enhance the smartphone-based solution to improve engagement. A consensus on how to report UEIs and validate digital solutions, particularly for chatbots, is required.

Validity and Reliability of the Digital Functioning Assessment Short Test (D-FAST) in the Brazilian Sample.

Background: The COVID-19 pandemic has caused major disruptions in all aspects of daily functioning, from school and work to interactions with friends and family. The Functioning Assessment Short Test (FAST) is an interviewer-administered scale validated in the psychiatric sample with no previous study assessing its validity and reliability in a digital format. Thus, we aimed to analyse the psychometric properties of the digital version of the FAST and understand the implications of COVID-19 and restrictive measures on functioning. Methods: Data were collected using an online survey. The psychometric properties of the digital FAST were assessed by confirmatory factor analysis, Cronbach's alpha, and discriminant functional by cluster analysis in a community sample. Results: Out of the total sample, 2,543 (84.1%) were female, and the mean (SD) age was 34.28 (12.46) years. The digital FAST retained the six factors structure observed in the original version, with Cronbach's alpha above 0.9. In addition, we showed evidence of discriminant validity by differentiating three clusters of psychosocial functioning. Clinical and demographic differences between groups explained, in part, the heterogeneity of functioning, thus providing support for the construct validity of the instrument. Conclusion: The digital FAST is a simple and easy-to-understand instrument that provides a multidimensional assessment of functioning without the need for an interviewer. Furthermore, our findings may help to better understand the psychosocial implications of the pandemic and the importance of planning specific interventions to rehabilitee the affected group.

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.

Resilience and mental health during the COVID-19 pandemic.

BACKGROUND: Resilience is a process that allows recovery from or adaptation to adversities. The aim of this study was to evaluate state resilience during the COVID-19 pandemic in psychiatric patients (PP), unaffected relatives (UR) and community controls (CC). METHODS: This study is part of the Barcelona ResIlience Survey for Mental Health COVID-19 (BRIS-MHC) project. Logistic regression models were performed to identify mental health outcomes associated with bad state resilience and predictors of good state resilience. The association between state resilience and specific affective temperaments as well as their influence on the association between depressive symptoms and state resilience were verified. RESULTS: The study recruited 898 participants that took part in the survey. The presence of depressive symptoms was a predictor of bad state resilience in PP (ß=0.110, OR=1.117, p=0.028). No specific mental health outcome was associated with bad state resilience in UR and CC. Predictors of good state resilience in PP were having pursued hobbies/conducted home tasks (ß=1.261, OR=3.528, p=0.044) and level of organization in the family (ß=0.986, OR=2.682, p=0.008). Having a controlling family was inversely associated with good state resilience in CC (ß=-1.004, OR=0.367, p=0.012). The association between bad state resilience and depressive symptoms was partially mediated by affective temperaments. LIMITATIONS: Participants self-reported their psychiatric diagnoses, their relatives' diagnoses or the absence of a psychiatric disorder, as well as their psychiatric symptoms. CONCLUSIONS: Enhancing resilience and coping strategies in the face of the COVID-19 pandemic might have important implications in terms of mental health outcomes.

Effects of the COVID-19 pandemic and lockdown in Spain: comparison between community controls and patients with a psychiatric disorder. Preliminary results from the BRIS-MHC STUDY.

BACKGROUND: The aim of this study was to evaluate potential differences about the effects of the COVID-19 pandemic and lockdown between community controls (CC) and patients with a mental illness (MI) in a Spanish population during the state of emergency. METHODS: Individuals with a psychiatric condition and the general population were invited to complete an anonymous online survey. Bivariate analyses were used to compare them in a broad range of measures: sociodemographic, clinical variables, behavioral changes related to the lockdown and coping strategies to face it. Two groups of different psychiatric disorders were compared: depression or anxiety disorders (D+A) versus bipolar disorder and schizophrenia related disorders (BD+SCZ). RESULTS: 413 CC and 206 MI were included in the study. CC reported to use more adaptive coping strategies as following a routine, talking to friends/relatives, practicing physical exercise and maintaining a balanced diet. MI reported significantly more anxiety and depression symptoms during the lockdown when compared to CC. Gaining weight, sleep changes, and tobacco consumption were more prevalent in the MI group. The D+A group showed significantly more psychological distress and negative expectations about the future, suffered more sleep disturbances when compared to BD+SCZ, whilst reported to practice more exercise. LIMITATIONS: psychiatric disorders were self-reported. CONCLUSIONS: Imposed restrictions and uncertainty during confinement had a higher psychological impact in individuals with a psychiatric illness, with less healthy behavior strategies to face the situation. Developing interventions to mitigate negative mental health outcomes among this vulnerable population will be essential in the coming months.