Publications by authors named "Mikhail Zinchuk"

5 Publications

  • Page 1 of 1

Differential diagnosis between epileptic and psychogenic nonepileptic seizures through conversational analysis: A blinded prospective study in the Russian language.

Epilepsy Behav 2021 Nov 24;125:108441. Epub 2021 Nov 24.

University of Milano Bicocca, GSD Research, Milan, Italy.

The current study examined the validity of conversational analysis (CA) in Russian patients with seizures, using a scoring table for the Simplified Linguistic Evaluation (SLE). The study sample was composed of 12 adult participants suffering either from epilepsy (ES) or psychogenic nonepileptic seizures (PNES) recruited in the Moscow Research and Clinical Center for Neuropsychiatry. Definitive diagnosis was established only after a habitual event was captured onvEEG. All participants with PNES or ES and at least one mental disorder underwent a 20-minute-long interview recorded on video. The interview then was evaluated by the external blinded physician already experienced in CA. Finally, that physician filled the SLE, consisting of 5 items analyzing the main characteristics of patient narrations. A score of ≥12 suggested a diagnosis of ES, while a score of <12 suggested a diagnosis of PNES. The blinded evaluator correctly identified 11 out of 12 cases. The concordance between the vEEG diagnosis and the CA diagnostic hypothesis was 91.67%. The sensitivity of the scoring table was 100%, while the specificity was 80%. The positive and the negative predictive values were, respectively, 87.5% and 100%. Our results suggested that the differences in seizure descriptions between patients with PNES and patients with ES are similar across Indo-European language family and are independent of psychiatric comorbidity.
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http://dx.doi.org/10.1016/j.yebeh.2021.108441DOI Listing
November 2021

Validation of the Generalized Anxiety Disorder-7 (GAD-7) in Russian people with epilepsy.

Epilepsy Behav 2021 10 6;123:108269. Epub 2021 Sep 6.

Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russian Federation; Pirogov Russian National Research Medical University, Moscow, Russian Federation.

Objective: To assess the capacity of Generalized Anxiety Disorder-7 (GAD-7) to detect anxiety disorders in a Russian sample of patients with epilepsy and to validate this instrument for rapid screening of anxiety in these patients.

Methods: Study included 233 patients with epilepsy, both inpatients and outpatients. For all patients Mini-International Neuropsychiatric Interview was conducted as a gold standard for diagnosis of mental disorders. All patients also completed the questionnaires - the Russian version of GAD-7 and Hospital Anxiety and Depression Scale (HADS) to assess convergent validity. Chi-square and Fisher's exact tests were used to compare categorical variables, and the Mann-Whitney test was used for the quantitative ones. Internal consistency was assessed using Cronbach's alpha, Cronbach's alpha at point deletion, and corrected point-to-point correlation. ROC analysis was used to evaluate the properties of the GAD-7 to determine anxiety disorders.

Results: Among 97 (41.6%) patients with epilepsy diagnosed with any anxiety disorders, 42 (18%) had panic disorder, 37 (15.9%) had agoraphobia, 17 (7.3%) had social anxiety disorder, and 64 (27.5%) had generalized anxiety disorder; 42 patients (18%) showed a combination of several anxiety disorders. The overall GAD-7 score was similar to other epilepsy studies, but higher cutoff scores characterize our sample. The scale performed well in detecting any anxiety disorder with the AUC of 0.866 and the optimal cutoff point > 8 points, and in detecting GAD with AUC = 0.922 and the optimal cutoff point > 9 points, showing overall acceptable sensitivity.

Conclusion: Russian version of the GAD-7 could be used as a screening tool for any anxiety disorders in PWE with the optimal cutoff score > 8 points.
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http://dx.doi.org/10.1016/j.yebeh.2021.108269DOI Listing
October 2021

Interictal dysphoric disorder in people with and without epilepsy.

Epilepsia 2021 06 15;62(6):1382-1390. Epub 2021 Apr 15.

Research and Clinical Center for Neuropsychiatry, Moscow, Russian Federation.

Objective: Interictal dysphoric disorder (IDD) has been regarded as an affective disorder occurring only in people with epilepsy (PWE). Data showing similar characteristics and similar prevalence of IDD in patients with migraine and with psychogenic nonepileptic seizures question the epilepsy-specific nature of IDD. The aim of the study was to investigate the nature of IDD in people with prevalent epilepsy with mood disorders and people with mood disorders who are free of neurological disease.

Methods: This is a case-control study, with 142 patients with a confirmed diagnosis of epilepsy and major depressive disorder (MDD; cases) and 222 patients with MDD only (controls). MDD diagnosis was confirmed by a structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition (SCID-I-RV). We used the Beck Depression Inventory and the Beck Anxiety Inventory to estimate anxiety and depression levels and the Interictal Dysphoric Disorder Inventory (IDDI) to confirm the presence of IDD. Mann-Whitney U test, Pearson chi-squared, Spearman correlation, and logistic regression were used.

Results: No differences were found in the prevalence of IDD between PWE with MDD and people with MDD alone (88.73% vs. 85.13%, χ2 = .96, p = .32). There were no differences between the groups overall or for any IDDI subscales (all p > .05). In both groups, IDD symptoms were grouped with the same incidence and had the same duration and periodicity. IDD was not associated with epilepsy (odds ratio = .84, 95% confidence interval = .40-1.98, p = .72). No significant correlation was found between epilepsy, demographic characteristics, and all IDDI subscales (all p > .05). Notably, patients with IDD suffered from affective disorders longer (6.68 ± 6.82 years vs. 3.7 ± 3.97 years, p = .001) and also received higher scores on all psychometric scales (all p < .05).

Significance: This study does not confirm the specificity of IDD for epilepsy. The presence of IDD symptoms may be associated with a more severe course of MDD and significant anxiety distress.
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http://dx.doi.org/10.1111/epi.16902DOI Listing
June 2021

Validation of the Russian version of neurological disorders depression inventory for epilepsy (NDDI-E).

Epilepsy Behav 2020 12 24;113:107549. Epub 2020 Nov 24.

Research and Clinical Center for Neuropsychiatry, Moscow, Russian Federation; Pirogov Russian National Research Medical University, Moscow, Russian Federation.

Objective: To translate and validate the English version of the Neurologic Depression Disorders Inventory in Epilepsy (NDDI-E) into the Russian language as an instrument for rapid detection of major depressive episodes (MDE) for patients with epilepsy (PWE) from Russian Federation.

Methods: One hundred and 75 consecutive PWE were included in the study. All patients were assessed with Mini-International Neuropsychiatric Interview (MINI 6.0.0), Hospital Anxiety and Depression Scale (HADS) and the Russian version of NDDI-E. Chi-square, Fisher's exact and Mann-Whitney tests were used to compare PWE with and without MDE. We analyzed internal structural validity, external validity, and receiver operator characteristics.

Results: None of the participants had any difficulties in understanding the questions of NDDI-E. The internal consistency of the inventory was satisfactory (Cronbach's ά = 0.856). Correlation between the NDDI-E and the HADS scores was moderate (r = 0.64, P < 0.001), indicating acceptable external validity. NDDI showed good capacity to detect MDE, with area under the curve of 0.919 (95% CI = 0.868-0.955; standard error: 0.019; P < 0.001). An optimal cut-off point with the highest Yuden's index (J = 0.699) was  > 12. At this point NDDI-E showed sensitivity of 88.16% (95% CI = 78.7%-94.4%), specificity of 81.82% (95% CI = 72.8%-88.9%), positive predictive value of 59.3% (95% CI = 48.8%-69.0%), negative predictive value of 95.8% (95% CI = 92.5%-97.7%).

Conclusion: Russian version of NDDI-E is an affordable and fast screening tool with a good combination of sensitivity and specificity.
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http://dx.doi.org/10.1016/j.yebeh.2020.107549DOI Listing
December 2020

Validation of the Russian version of neurological disorders depression inventory for epilepsy (NDDI-E).

Epilepsy Behav 2020 12 24;113:107549. Epub 2020 Nov 24.

Research and Clinical Center for Neuropsychiatry, Moscow, Russian Federation; Pirogov Russian National Research Medical University, Moscow, Russian Federation.

Objective: To translate and validate the English version of the Neurologic Depression Disorders Inventory in Epilepsy (NDDI-E) into the Russian language as an instrument for rapid detection of major depressive episodes (MDE) for patients with epilepsy (PWE) from Russian Federation.

Methods: One hundred and 75 consecutive PWE were included in the study. All patients were assessed with Mini-International Neuropsychiatric Interview (MINI 6.0.0), Hospital Anxiety and Depression Scale (HADS) and the Russian version of NDDI-E. Chi-square, Fisher's exact and Mann-Whitney tests were used to compare PWE with and without MDE. We analyzed internal structural validity, external validity, and receiver operator characteristics.

Results: None of the participants had any difficulties in understanding the questions of NDDI-E. The internal consistency of the inventory was satisfactory (Cronbach's ά = 0.856). Correlation between the NDDI-E and the HADS scores was moderate (r = 0.64, P < 0.001), indicating acceptable external validity. NDDI showed good capacity to detect MDE, with area under the curve of 0.919 (95% CI = 0.868-0.955; standard error: 0.019; P < 0.001). An optimal cut-off point with the highest Yuden's index (J = 0.699) was  > 12. At this point NDDI-E showed sensitivity of 88.16% (95% CI = 78.7%-94.4%), specificity of 81.82% (95% CI = 72.8%-88.9%), positive predictive value of 59.3% (95% CI = 48.8%-69.0%), negative predictive value of 95.8% (95% CI = 92.5%-97.7%).

Conclusion: Russian version of NDDI-E is an affordable and fast screening tool with a good combination of sensitivity and specificity.
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http://dx.doi.org/10.1016/j.yebeh.2020.107549DOI Listing
December 2020
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