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INTRODUCTION: According to the official Russian source, in 2017 only 0.27% of the population of Russia was diagnosed with International Classification of Diseases, tenth revision (ICD-10) F4 category disorders (neurotic, stress-related and somatoform disorders), despite these disorders being among the most prevalent mental disorders worldwide. Here we report the results of a large-scale survey among Russian psychiatrists with the primary objective to assess the proportion of psychiatrists who use the diagnoses of interest (mixed anxiety and depression disorder [MADD], adjustment disorder [AdD], panic disorder [PD], agoraphobia, generalized anxiety disorder [GAD], social phobia, simple phobia, acute stress disorder and posttraumatic stress disorder) and compare results with those of a recent World Psychiatric Association (WPA) and World Health Organization (WHO) survey. We also compared the incidence of these diagnoses between state and non-state psychiatric services in Russia. METHODS: Mean proportions and distribution of proportions of participants who made diagnoses of interest at different rates were calculated and compared with the results of the recent WPA and WHO survey. Risk ratios (RR) of the incidence of these diagnoses made at a frequency of at least once a week were calculated to compare state and non-state psychiatric services. The 95% confidence intervals of the RRs were calculated using the Koopman asymptotic score method. RESULTS: Responses of 960 Russian psychiatrists were included in the analysis. Of these 95, 89 and 87% reported making diagnoses of MADD, AdD and PD, respectively, during the preceding 12 months, a far larger proportion compared to other disorders of interest. In general, a significantly smaller proportion of participants in our survey made diagnoses of anxiety disorders compared to respondents in the international WPA-WHO survey. Based on RRs, diagnoses of MADD, AdD, PD, GAD and acute stress disorder were less frequently made in the state-operated psychiatric service. CONCLUSION: Our survey revealed a serious underdiagnosis of anxiety disorders in Russia that may be associated with complex factors that include, but are not limited to the current stigma associated with the state-operated psychiatric service, which is still the exclusive source of official statistical data in Russia.
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Purpose and methods: In order to assess the specifics of practical use of the ICD-10 Diagnostic Guidelines by Russian psychiatrists, official national statistics on the prevalence of a number of mental disorders in Russia in 2019 were compared with the results of meta-analyses of international epidemiological studies of these disorders. In addition, a number of items in the online psychiatrists' survey, relating to the diagnosis of schizophrenia, were analysed; 807 Russian psychiatrists took part in the online survey. Results: Analysis of national statistics showed that domestic clinicians diagnose some mental disorders significantly less often than might be expected, according to data obtained by international epidemiological studies. The number of cases of bipolar affective disorder registered in Russia is 90-150 times less than that for the prevalence of this disorder, according to meta-analyses of epidemiological studies; for depression, the result is 50-70 times; for anxiety disorders, the number is 25-50 times, and for autism, it is 30 times. Instead of the above disorders, diagnoses of organic non-psychotic mental disorders and schizophrenia might have been used unreasonably often. Between 2005 and 2019, diagnosis of childhood autism changed significantly (an increase of more than 100%), while the frequency of diagnosing other mental disorders remained unchanged. The results of the online survey also showed largely perfunctory use of the ICD-10 Diagnostic Guidelines, with a third of respondents reporting never checking the diagnostic schedules, and another third doing so from time to time. In addition, the low estimates given by survey participants regarding practical utility of the ICD-10 Diagnostic Guidelines, along with a large percentage of respondents who do not directly use diagnostic criteria in their work, indicate the need to improve the clinical usefulness of the diagnostic guidelines in the latest revision of the ICD, including convenience of use in practice. Conclusion: The results of analysis of the Russian national mental health service statistic indicate that at least some diagnostic categories are not used by Russian psychiatrists exactly as ICD-10 suggests. The revealed discrepancy between the principles of diagnostics observed by domestic clinicians and international criteria may interfere with the use of evidence-based treatment algorithms, negatively affecting the quality of psychiatric care. In light of the upcoming transition to ICD-11 and in order to unify approaches to the diagnosis of mental disorders in our country, it is necessary to update and improve educational programmes for psychiatrists.
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AIM: The role of adipose tissue hormones, adipokines, in formation of metabolic disorders in schizophrenia is not fully understood. The aim was to investigate the association of leptin and adiponectin plasma levels with metabolic parameters in antipsychotic treated patients with schizophrenia and in the group of age, gender and body mass index matched mental healthy persons. METHODS: One hundred patients with diagnosis of schizophrenia, who took antipsychotic medication, and equal number of control subjects, were enrolled for cross-sectional evaluation. Fasting blood plasma levels of glucose, lipids, insulin, adiponectin, leptin concentrations and insulin resistance HOMA index were determined. RESULTS: In both groups plasma leptin concentration positively correlated with body mass index, insulin plasma level and HOMA index, while adiponectin level had negative correlations with adiposity measures and positive associations with high density lipoprotein cholesterol content. At the same time, in schizophrenia group, but not in control subjects, leptin level positively associated with cholesterol and triglycerides concentrations and adiponectin negatively correlated with plasma insulin content, HOMA index and triglycerides levels. After controlling for confounders significant correlations remained for leptin concentration with HOMA index and plasma triglycerides level in schizophrenic patients and for adiponectin concentration with plasma high density lipoprotein cholesterol concentrations in both studied groups. CONCLUSIONS: Both adipokines associate with metabolic parameters in antipsychotic treated patients with schizophrenia. Leptin can play more specific role in pathogenesis of metabolic syndrome in schizophrenic persons than in mental healthy subjects.