G.T. MSRS On-Line Calculator Targeting the Early Diagnosis of Mixed Affective States: the Multicenter Study Project Design on the Approbation and Validity of the Three Language Versions of the Rating Scale.

BACKGROUND: Mixed affective states (MS) are often misdiagnosed by the clinicians and lead to the inappropriate treatment strategies contributing to the severe forms, poor outcome with higher rates of comorbid conditions and worse remission quality in affective and bipolar disorders, as well as to a decreased psychosocial functioning of these patients. The development of reliable tools for the MS assessments or so called the phenomenon of mixity in affective disorders, is still an unmet need of psychiatric research and clinical practice. In this paper, we present PC program "Multilingual IBM-PC on-line calculator for early diagnosis of the mixed affective states" based on the Giuseppe Tavormina Mixed States Rating Scale (G.T. MSRS) (Russian, English, Italian language versions) created by the ICERN group using programming language JavaScript, working for such operation systems (OS) as Windows, Linux, MacOs, Android, iOS, and aims to contribute to the accurate assessment of the presence and severity of the mixed states among affective disorders. SUBJECTS AND METHODS: The G.T. Mixed States Rating Scale on-line calculator consists of 11 items which evaluate various aspects of MS in patients with major depression, bipolar or recurrent depressive disorder. A total score is automatically calculated, considering the type of affective temperament according to the Akiskal's and Tavormina's schemas, thus, the specific sub-groups of MS are differentiated based on the ranges: Medium-light (2-6), Medium (7-12), and High (13-19) Mixity level. The study will enroll 330 participants during two (three months follow-up) visits (110 native speakers in each of the three languages) of both genders aged from 18 till 55 y.o. with the diagnoses of depressive episodes, major depression, bipolar or recurrent depressive disorder according to the DSM-5 criteria. Assessments will be provided by the two investigators (second one will be blinded to the G.T. MSRS results obtained by the first researcher), based on the use of DSM-5 clinical interview, Young Mania Rating Scale, Montgomery-Åsberg Depression Rating Scale, Clinical Global Impression - Severity scale (CGI-S), Clinical Global Impression - Improvement scale (CGI-I), Patient Global Impression of Change (PGIC). RESULTS: The study will assess the agreement between the diagnostic category/clinical impression and the on-line G.T. MSRS calculator use results, its test-retest reliability, and diagnosis stability for further assessment of the on-line G.T. MSRS calculator validity and clinical utility. Secondary variables will evaluate internal reliability and such statistical analyses as Cronbach's alpha, Cohen's Kappa, biserial correction, and agreement between initial and follow-up diagnoses. CONCLUSIONS: Current multicenter validation study of the on-line G.T. MSRS calculator will enhance the understanding of the mixity phenomenon and its clinical implication, aiming to improve the treatment strategies to manage the course of mental disorder, quality of life and psychosocial functioning in patients with affective (bipolar) disorders, accompanied by MS, and a clinical recommendation for the routine administration of the user-friendly on-line G.T. MSRS version in clinical practice.

Students' mental health during the pandemic: results of the observational cross-sectional COVID-19 MEntal health inTernational for university Students (COMET-S) study.

Introduction: The aim of the study was to search rates of depression and mental health in university students, during the COVID-19 pandemic. Materials and methods: This is an observational cross-sectional study. A protocol gathering sociodemographic variables as well as depression, anxiety and suicidality and conspiracism was assembled, and data were collected anonymously and online from April 2020 through March 2021. The sample included 12,488 subjects from 11 countries, of whom 9,026 were females (72.2%; aged 21.11 ± 2.53), 3,329 males (26.65%; aged 21.61 ± 2.81) and 133 "non-binary gender" (1.06%; aged 21.02 ± 2.98). The analysis included chi-square tests, correlation analysis, ANCOVA, multiple forward stepwise linear regression analysis and Relative Risk ratios. Results: Dysphoria was present in 15.66% and probable depression in 25.81% of the total study sample. More than half reported increase in anxiety and depression and 6.34% in suicidality, while lifestyle changes were significant. The model developed explained 18.4% of the development of depression. Believing in conspiracy theories manifested a complex effect. Close to 25% was believing that the vaccines include a chip and almost 40% suggested that facemask wearing could be a method of socio-political control. Conspiracism was related to current depression but not to history of mental disorders. Discussion: The current study reports that students are at high risk for depression during the COVID-19 pandemic and identified specific risk factors. It also suggested a role of believing in conspiracy theories. Further research is important, as it is targeted intervention in students' groups that are vulnerable both concerning mental health and conspiracism.

Anxiety, Depression and Suicidality in Healthcare Workers during the COVID-19 Pandemic: The Russian Study Sample of the COMET-G Project.

BACKGROUND: During the COVID-19 pandemic healthcare workers have been under pressure of high workload and an increased risk of contracting the SARS-Cov-2 virus, while confronting the most tragic and devastating aspects of the pandemic-related medical realities. These factors could lead to severe distress with potential consequences for productivity in performing professional duties, and substantially increased risk for affective reactions, including clinical states of anxiety, depression and suicidality as compared to the general population. Thus, we aimed to investigate the changes in rates of anxiety, depression and suicidality in response to the pandemic among medical staff as compared to a sample of the general population and to the period of prepandemic time. SUBJECTS AND METHODS: This study is part of the large-scale, international multicentre COMET-G project. We assessed the extents of anxiety, depression and suicidality risks using the Stait-Trait Anxiety Inventory (STAI) with a cut-off score 39/40, Center for Epidemiologic Studies Depression Scale (CES-D) with a cut-off score 23/24, and the Risk Assessment Suicidality Scale (RASS) with a cut-off score 499/500, respectively, in samples of Russian healthcare workers and the general population. RESULTS: Among 7777 respondents participating in the study, responses to a query about occupation indicated 1216 healthcare workers. 45.8% of medical staff vs 40.4% of non-medical staff (χ2=12.42, p<0.001) reported the increased anxiety, in excess of the clinical anxiety state threshold score of 39 according to the STAI. High suicidality risks, according to a RASS score > 500, were reported by 8.2% of medical professionals vs 10.6% of non-medical personnel (χ2=6.35, p=0.012). The increase in depression rates, including cases of clinical depression according to the threshold of CES-D ≥ 24, did not differ between the groups. CONCLUSIONS: A larger proportion of healthcare system staff, as compared to the general population, reported a significant increase in anxiety in response to the pandemic. Compared to medical doctors, other healthcare system workers had a significantly higher prevalence of depression and suicidality rates. Exploratory analysis suggested that it was not the occupation per se, but rather the burden of meaningful working duties that could be associated with psychological defense mechanisms against depression and suicidality among medical staff.

Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder.

Major depressive disorder (MDD) is among the most prevalent mental disorders worldwide. Factors causing the pathogenesis of MDD include gut microbiota (GM), which interacts with the host through the gut-brain axis. In previous studies of GM in MDD patients, 16S rRNA sequencing was used, which provided information about composition but not about function. In our study, we analyzed whole metagenome sequencing data to assess changes in both the composition and functional profile of GM. We looked at the GM of 36 MDD patients, compared with that of 38 healthy volunteers. Comparative taxonomic analysis showed decreased abundances of Faecalibacterium prausnitzii, Roseburia hominis, and Roseburia intestinalis, and elevated abundances of Escherichia coli and Ruthenibacterium lactatiformans in the GM of MDD patients. We observed decreased levels of bacterial genes encoding key enzymes involved in the production of arginine, asparagine, glutamate, glutamine, melatonin, acetic, butyric and conjugated linoleic acids, and spermidine in MDD patients. These genes produced signature pairs with Faecalibacterium prausntizii and correlated with decreased levels of this species in the GM of MDD patients. These results show the potential impact of the identified biomarker bacteria and their metabolites on the pathogenesis of MDD, and should be confirmed in future metabolomic studies.

Modeling Suicidality Risks and Understanding the Phenomenon of Suicidality Under the Loupe of Pandemic Context: National Findings of the COMET-G Study in the Russian Population.

BACKGROUND: Suicidality is a complex clinical phenomenon reflecting vulnerability to suicidal behavior which can be explained via the biopsychosocial paradigm and in relationship with a variety of country-specific factors. Data on suicides within the Russian population are inconsistent (from 11.7 up to 25.1 per 100.000), whereas the population's suicidality risks have not been investigated in detail. Suicidality estimates during the multifactorial influence of the COVID-19 pandemic could serve as a basis to learn more about this mental health indicator. METHODS: The current study is a part of the COMET-G international project (40 countries, n=55.589), which represents an analysis of data collected from Russia's general population (n=7714, 33±12 y.o., 61% female) to estimate suicidality using the Risk Assessment Suicidality Scale (RASS) and its relationships with socio-demographic, clinical, and life-habit characteristics during the COVID-19 pandemic. The evaluation of the statistical data (descriptive statistics, ANOVA, LASSO linear regression, significant at α=0.05) was undertaken using TIBCO Statistica. RESULTS: According to the RASS, at least 20.68%, and up to 29.15%, of the general population in Russia demonstrated increased risk of suicidality during the pandemic. Modelling these risks pointed to the key vulnerabilities related to mental and behavioral disorders, such as (i) current severe depression and a history of mental disorders, (ii) bipolar disorder, (iii) use of illicit drugs surprisingly outranking the alcohol misuse, and psychiatric compounds (hypnotics), highlighting sleep quality deterioration, (iv) a history of suicide attempts and self-harm - though not self-reported changes in depression - in response were predictors of the risk of suicidality, which can be explained by the phenomenon of "learned suicidality", a habitual behavioral suicidality pattern completion accumulated over the background. Such (v) socio-demographic indicators as younger age (disregarding the gender factor), a marital status of single, having no children, living with fewer people in the household, a recent increase in family conflicts, increased need for emotional support, decreased need for communication, and not believing in precautionary measures against COVID-19, contributed to the increase of suicidality risk in the context of the pandemic. CONCLUSIONS: The findings of this study revealed new suicide risk factors that should be taken into account in suicidality risk assessments for the Russian population and in the implementation of suicide prevention programs in the region.

Symptomatic Profile of Cariprazine in the Context of ICD-11 Domains for Schizophrenia: Review of Clinically Oriented Studies: Симптоматический профиль карипразина в контексте доменов шизофрении в МКБ -11: обзор клинически Ð¾Ñ€Ð¸ÐµÐ½Ñ‚Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð½Ñ‹Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹.

INTRODUCTION: One of the innovations in the ICD-11grouping "Schizophrenia and Other Primary Psychotic Disorders" is the implementation of six symptom domains intended to improve diagnostics and treatment of these mental conditions in clinical practice. In this respect, evaluation of the effects of various psychotropic drugs, primarily antipsychotic agents, on the specified psychotic symptom domains is a critical task. The antipsychotic agent cariprazine, registered in many countries worldwide (including Russia) for schizophrenia treatment, was selected as the psychotropic drug model for the purposes of the present review. METHODS: For the purposes of this review the MEDLINE, Cochrane Central Register of Controlled Trials, and PubMed databases were searched for randomized controlled trials comparing cariprazine with a placebo, or a placebo and one or several antipsychotic agents, and that was performed within the period from January 2014 to March 2021. RESULTS: Cariprazine has proved its efficiency in relation to all symptom groups of the ICD-11 domain "Positive Symptoms", and may be considered a front-line therapy for treatment of the first and multiple episodes of schizophrenia, disorganized thinking, and behavioral disorders in the form of aggressiveness and hostility. Cariprazine has the best evidential base for treatment of various symptoms within the ICD-11 domain "Negative Symptoms" among all antipsychotic agents. The data with regard to the effects of cariprazine on the domain "Depressive Mood Symptoms" are controversial. No data concerning the effects of cariprazine on the domain "Manic Mood Symptoms" are available, but the effectiveness of cariprazine monotherapy for manic episodes without any psychomotor agitation signs in the instance of bipolar disorder has been demonstrated. The effectiveness of cariprazine therapy for the ICD-11 domain "Psychomotor Symptoms" has not been investigated, either within the framework of monotherapy or in the course of adjuvant therapy. The effectiveness of cariprazine has been demonstrated in treatment of the domain "Cognitive Symptoms", and the pro-cognitive effect of the drug has developed regardless of its impact on any other schizophrenia symptoms. The drug's capability to improve the functioning of patients with schizophrenia was demonstrated regardless of the impact on psychotic symptoms. CONCLUSION: Cariprazine is the first-line drug for treatment of the domain "Negative Symptoms" as well as representing front-line therapy for the treatment of ICD-11 domains "Positive Symptoms" and "Cognitive Symptoms". Additional studies will be required in order to evaluate the effects of cariprazine on the ICD-11 domains "Manic Mood Symptoms" and "Depressive Mood Symptoms".

A One-Day Cross-Sectional Study of Antidepressants Prescription Patterns in Public Mental Health Services: Clinical Guidelines vs Real Clinical Practice in Russia.

BACKGROUND: Antidepressants (AD) are widely used in the treatment of mood disorders and administered for mental disorders coded across other diagnostic categories. However, inaccuracy in AD prescription may lead to unresponsive cases, decreased compliance, and treatment discontinuation. Following a one-way cross-sectional study design, we aimed to analyze the AD prescription patterns in routine clinical practice in Moscow, as compared to clinical guidelines, taking the capital as representative of the Russian national experience. SUBJECTS AND METHODS: We studied 537 medical case records of inpatients and outpatients who had received treatments on an arbitrarily chosen day, focusing on classes, doses, drug combinations, and switching patterns for AD prescription. All statistical calculations (descriptive statistics, between group comparisons using Fisher exact, binominal and Pearson chi-square tests, significant at two-tailed p<0.05) were performed with the IBM SPSS 27. RESULTS: 15% of inpatients and 52% of outpatients with mental disorders received ADs. ADs were prescribed for major depressive disorder and other diagnoses, including the majority of schizophrenia spectrum disorders and non-organic conditions. Selective serotonin reuptake inhibitors, particularly fluvoxamine, were used most often for outpatient and inpatient settings, but at lower average dose rather than recommended, while tricyclic ADs were more likely to be correctly administered for severe depression. ADs were often prescribed within combined treatment rather than monotherapy, but clinical recommendations were not strictly followed in relation to the drug choice, combination with antipsychotic agents and switching strategies. CONCLUSIONS: The clinical reality of AD prescriptions in the studied psychiatric setting differed from the clinical guidelines, insofar as the choice of AD medication did not always follow evidence-based recommendations. Choice and dosage of ADs should properly follow duration and severity of the illness, and the clinical profile of disorders.

Interactions between Anxiety Levels and Life Habits Changes in General Population during the Pandemic Lockdown: Decreased Physical Activity, Falling Asleep Late and Internet Browsing about COVID-19 Are Risk Factors for Anxiety, whereas Social Media Use Is not.

BACKGROUND: The COVID-19 pandemic has substantially contributed to increased anxiety rates among the general population worldwide. Pandemic-related health anxiety and worries about getting COVID-19 can lead to generalized anxiety and anxiety somatization, which, together with insalubrious daily life habits, are risk factors of worsening somatic health in people with SARS-Cov-2 infection. SUBJECTS AND METHODS: The current study is a part of the COMET-G project (40 countries, n=55589; approved by the Ethics Committee of the Aristotle University of Thessaloniki), which represents an intermediate analysis of data collected anonymously via online links from a national sample of the Russian general population (n=9936, 31.09±12.16 y.o., 58.7% females) to estimate anxiety using STAI-S and self-reported changes in anxiety and life habits (physical activity, nutrition and weight, internet use, sleep) during the lockdown. All statistical calculations (descriptive statistics, between group comparisons using chi-square test, MANOVA, ANOVA, significant at p<0.05) were performed with IBM SPSS 27. RESULTS: Overall STAI-S scores were 29±5.4, a subjective feeling of anxiety increase was reported in 40.3% of respondents (43.9% significantly > in females), worsening to clinical anxiety in 2.1% (2.4% > in females). 54.2% of respondents reported decreased physical activity, 33.1% gained weight, 72% used internet more often, 52.6% experienced worries related to the information about COVID-19 (56.8% > in females). 88% experienced worsened sleep quality, 69.2% stayed up until late, 23.2% took sleeping pills, and 31% had nightmares in which they felt trapped. To ANOVA, such life habits as reduced physical activity during the lockdown, increased time spent online, internet browsing about COVID-19, tendency to stay up late, use of sleeping pills and disturbing dreams with scenario of being trapped were significantly related to worsening of clinical anxiety. However, eating behaviour, weight changes, and social media use did not contribute to the clinical anxiety increase. CONCLUSIONS: Factors of decreased physical activity and sleep disturbances related to the lockdown, as well as excessive internet browsing for information about COVID-19, emerged as risk factors for increased anxiety, more notably in women than in men. Preventive measures should be targeted against relevant factors imparting anxiety in the vulnerable population.

A synopsis of original research projects published in scientific database in the Russian Federation.

The article describes the current state of scientific publications in the field of psychiatry in the Russian Federation. Issues of academic dissertations, lack of access to recent Russian language research in foreign databases, and recent reforms in the Ministry of Education and Science for overcoming these limitations are discussed in detail. Four exemplary dissertation studies published in Russian language are summarized. The first research examines the contribution of patient's verbal behavior to the reliable diagnosis of mild depression, identifying objective signs for distinguishing it from normal sadness; the mood component influenced the whole mental status and was represented in both structure and semantics of patients' speech. The second paper describes the course of panic disorder with agoraphobia, with the notable results that debut of panic disorder with full-blown panic attacks, often declines to a second accompanied with agoraphobia, which after several years gives way to limited symptom attacks and decreased agoraphobic avoidance. The third study describes the high prevalence of affective and anxiety disorders in patients with diabetes mellitus type 1 and 2, and the role of personality traits in adherence to treatment in patients with poor glucose control. The fourth project uses functional MRI for probing the features of neuronal resting-state networks in patients with temporal lobe epilepsy; the association with affective symptoms provides a model for investigating the pathophysiology of mood disorder.

A synopsis of recent papers published in psychiatric journals in the Russian Federation.

Four influential papers that have appeared recently in the main psychiatric journals from Russia are summarized. The first paper examines socio-demographic profile and clinical manifestations and data of people with mental disorders attending the private psychiatric clinics. It was seen that about 50% of private mental health settings' patients had never consulted a public psychiatric service before seeking help at private psychiatric clinics. Private mental health services have proven their effectiveness in the treatment of non-psychotic disorders and intervention in early onset psychoses. The second paper describes neuropsychological and evolutionary approaches in understanding the comorbidity between depressive and anxiety disorders. It suggests that if anxiety disorder manifests as the first diagnosis, it is more likely that the person will have depression than vice versa. The next article concludes that there is a specific vulnerability of different groups of somatically ill patients to particular mental disorders: cancer is mainly associated with dissociative disorders and asthenia; patients with cardiac disorders are more likely to have comorbid anxiety disorders, hypochondriasis and severe depression. Patients with dermatological illnesses are more likely to have obsessive-compulsive disorder, delusional disorder and mild depression. The last paper discusses some social-psychological and neuro-immunological parameters of people with "dangerous" professions. Using mathematical method, the authors created a model that can decrease the negative influence of work-related extreme factors.