Multiple Comorbidity Profile of Psychiatric Disorders in Epilepsy.

The co-occurrence of psychiatric disorders in people with epilepsy (PWE) is not well documented or studied. Anxiety and depressive disorders are the most frequent comorbid disorders in PWE. In this paper, we characterized the rates of multiple psychiatric disorder comorbidity by reanalyzing data from a study sample of PWE. A total of 96 outpatient PWE completed the self-report symptom scale, and were diagnosed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) Axis I disorders (SCID-I). For analyses, patients were assigned to a comprehensive diagnostic group of anxiety and depressive disorders. In order to determine comorbidity across psychiatric diagnoses for the DSM-IV categories, Pearson's chi-squared test (χ2) was used. In the study sample, eight patients (8.3% of the study sample, n = 96) had comorbid major depressive disorder and anxiety disorder. When looking at comorbidity of each diagnosis separately, it was determined that 50% of individuals with an anxiety disorder had comorbid Major Depressive Disorder (MDD) and 38% patients with MDD had comorbid anxiety disorder. This finding encourages a more systematic reporting of psychiatric prevalence data in epilepsy, especially taking into account the high ratio of multiple comorbid anxiety and depressive disorders in PWE.

Heart rate variability and incidence of depression during the first six months following first myocardial infarction.

BACKGROUND: Post-myocardial depression is a highly prevalent condition worsening the course and prognosis of coronary artery disease. One of the possible pathogenetic factors is dysregulation of the autonomous nervous system, resulting in heart rate variability reduction. METHODS: Twenty two patients hospitalised due to a first myocardial infarction were included. The Beck Depression Inventory (BDI) was used to rate the severity of their depressive symptoms. RESULTS: Depressive symptomatology, defined as BDI ≥10, was present in 36.3% of the patients. Increase in heart rate variability (HRV) was observed in both groups during the first 6 months after the myocardial infarction. The HRV was significantly lower in the depressed group compared to patients without depression. CONCLUSION: Presence of depression after the myocardial infarction (MI) is associated with a significant decrease of the time domain HRV measure SDNN (standard deviation of all normal RR intervals) and with its slower increase during at least a three months period.

Interictal dysphoric disorder of epilepsy: A continuing diagnostic challenge.

OBJECTIVE: The interictal dysphoric disorder (IDD) is a proposed epilepsy-specific mood disorder characterized by a cluster of symptoms such as depressed mood, irritability, euphoria, and anxiety. Since its introduction, the concept of IDD has been a matter of debate. This study aimed to evaluate the frequency of the IDD and the association between psychiatric disorders and IDD. We also analyzed potential associations between IDD symptoms and epilepsy-related variables. METHODS: A consecutive group of 118 outpatients with epilepsy were screened. Ninety-six patients met inclusion criteria and examined by a trained psychiatrist using Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders fourth edition Text Revision (DSM-IV-TR) (SCID-I). In order to diagnose IDD, all participants completed the self-rating questionnaire consisting of a set of questions aimed to assess the eight key symptoms of IDD. On completion of the questionnaire, the psychiatrist reviewed all the data for completeness and accuracy with the patient. RESULTS: In our group with epilepsy, we observed IDD in 49.0% (47 of 96) of people with epilepsy (PWE) with substantial overlap (85%) of IDD with depressive and anxiety disorders. The frequency of depressive mood, anergia, and irritability was significantly higher in patients with IDD diagnosis. Older age at epilepsy onset was associated with IDD. STUDY LIMITATIONS: The cross-sectional study design, a consecutive sample of patients presenting to a tertiary referral center, a small sample size of the population, and applied methodology could have affected the results. CONCLUSIONS: The present study indicates that IDD occurs in high frequency in PWE with a substantial overlap of IDD with depressive and anxiety disorders. The study highlights the importance of the observer-based systematic approach for diagnosing IDD and the usage of operationalized diagnostic criteria for psychiatric comorbidities in PWE. Future research should be directed at validating whether IDD is nosologically independent of other psychiatric conditions.

Peripheral blood lymphocyte subpopulations in patients with bipolar disorder type II.

We investigated the phenotype of peripheral blood lymphocytes of patients with bipolar disorder type II in different phases of the disease in order to check whether there are specific changes in the immune parameters. Lymphocytes subpopulations were analyzed ex vivo with flow cytometry in patients in euthymic, depression or hypomanic phase of the disease and compared with healthy controls. All BD patients were characterized by lower percentage of CD3+CD4+ and CD3+CD8+ cells compared with healthy people. But only patients in depression and remission had higher percentage of B cells (CD19+ cells) compared with healthy people. The percentage of CD4+CD25+ and CD8+CD25+ cells was decreased in patients in hypomanic phase compared with healthy control. Patients in remission were characterized by increased concentrations of IL-6 and IL-10 and decreased level of TNF in blood serum. Significant correlations between immunologic parameters and the results of Hamilton or Young scale have also been found. Our results demonstrate that there are significant differences in lymphocyte subpopulations which depend on the phase of the disease the patient is currently in.

Psychometric properties of the Polish version of the Hamilton Anxiety Rating Scale in patients with epilepsy with and without comorbid anxiety disorder.

OBJECTIVE: Anxiety disorders (ADs) are frequent comorbid disorder in patients with epilepsy (PWE). The availability of validated screening instruments to detect AD in PWE is limited. The aim of the present study was to validate the Polish version of the Hamilton Anxiety Rating Scale (HARS) in adult PWE for the detection of AD. METHODS: A total of 96 outpatient PWE completed the self-report symptom scale, the HARS, and were diagnosed with the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR) Axis I disorders (SCID-I). The sensitivity, specificity, positive and negative predictive value, and receiver operating characteristic (ROC) curves were assessed to determine the optimal threshold scores for the HARS. RESULTS: Receiver operating characteristic analyses showed areas under the curve at 81.2%. For diagnoses of AD, the HARS demonstrated the best psychometric properties for a cutoff score ≥17 with sensitivity of 68.8%, specificity of 87.5%, positive predictive value of 52.4%, and negative predictive value of 93.3%. CONCLUSIONS: The Polish version of the HARS performed moderately well as a screening instrument for ADs in PWE. In the epilepsy setting, the HARS maintains moderate sensitivity, high specificity, and excellent Negative perdictive value (NPV) but low Positive perdictive value (PPV) for diagnosing ADs with an optimum cutoff score ≥17. These results suggest that the HARS performed better to rule out anxiety, however, because of moderate sensitivity, some cases of anxiety might be missed.

Psychometric properties and diagnostic utility of the State-Trait Anxiety Inventory in epilepsy with and without comorbid anxiety disorder.

OBJECTIVE: Anxiety disorders are frequent comorbid disorder in patients with epilepsy (PWEs). The availability of validated screening instruments to detect anxiety disorders in PWEs is limited. The aim of the present study was to validate State-Trait Anxiety Inventory (STAI) in adult PWEs for the detection of anxiety disorders. METHODS: A total of 96 outpatients with epilepsy completed the self-report symptom scale and were diagnosed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition Text Revision (DSM-IV-TR) Axis I disorders (SCID-I). The sensitivity, specificity, positive and negative predictive values, and receiver operating characteristic (ROC) curves were assessed to determine the optimal threshold scores for the State-Trait Anxiety Inventory State (STAI-S) and State-Trait Anxiety Inventory Trait (STAI-T) anxiety subscales. RESULTS: Receiver operating characteristic analyses for STAI-T showed area under the curve at 84.7%. For diagnoses of anxiety disorders, the STAI-T demonstrated the best psychometric properties for a cutoff score ≥ 52 with sensitivity of 81.3%, specificity of 77.5%, positive predictive value (PPV) of 41.9%, and negative predictive value (NPV) of 95.4%. CONCLUSIONS: The STAI-T proved to be a valid and reliable psychometric instrument in terms of screening for anxiety disorders in PWEs. In the epilepsy setting, STAI-T maintains adequate sensitivity, acceptable specificity, and high NPV but low PPV for diagnosing anxiety disorders with an optimum cutoff score ≥ 52.

Morning and afternoon serum cortisol level in patients with post-myocardial infarction depression.

BACKGROUND: Post-myocardial depression is a highly prevalent condition which worsens the course and prognosis of coronary artery disease. One possible pathogenetic factor is dysregulation of the hypothalamic-pituitary-adrenal axis, resulting in cortisol profile disturbances. METHODS: Thirty seven patients hospitalized due to a first myocardial infarction (MI) were enrolled in this study. The Beck Depression Inventory (BDI) was used to rate the severity of their depressive symptoms. Morning and afternoon serum cortisol samples were taken on the fifth day of the MI. RESULTS: Depression, defined as BDI ≥ 10, was present in 34.4% of the patients. A statistically significant difference was observed between the mean morning and the evening plasma concentrations in patients with depression compared to the no-depression group: F (1.29) = 5.0405, p = 0.0328. CONCLUSIONS: Patients with depressive symptoms directly after MI have a flattened diurnal serum cortisol profile. This is particularly expressed in patients with longer lasting symptoms.

Validation of the Polish version of the Hospital Anxiety and Depression Scale for anxiety disorders in patients with epilepsy.

OBJECTIVE: Anxiety disorders are frequent comorbid disorders in patients with epilepsy (PWEs). The availability of validated screening instruments to detect anxiety disorders in PWEs is limited. The aim of the present study was to validate the Polish version of the Hospital Anxiety and Depression Scale (HADS) in adult PWEs for the detection of anxiety disorders. METHODS: A total of 96 outpatients with epilepsy completed the self-reported symptom scale, the HADS, and were diagnosed using the structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) axis I disorders (SCID-I). The sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively), and receiver operating characteristic (ROC) curves were assessed to determine the optimal threshold scores for the HADS anxiety subscale (HADS-A). RESULTS: Receiver operating characteristic analyses showed areas under the curve at 80.8%. For diagnoses of anxiety disorder, the HADS-A demonstrated the best psychometric properties for a cutoff score ≥10 with sensitivity of 81.3%, specificity of 70.0%, PPV of 31.5%, and NPV of 94.9%. CONCLUSIONS: The HADS-A proved to be a valid and reliable psychometric instrument in terms of screening for anxiety disorders in our sample of PWEs. In the epilepsy setting, the HADS-A maintains adequate sensitivity, acceptable specificity, and high NPV but low PPV for diagnosing anxiety disorders with an optimum cutoff score ≥10.

Proliferation and apoptosis of T lymphocytes in patients with bipolar disorder.

The aim of the study was to evaluate proliferation capacity and susceptibility to apoptosis of T lymphocytes of patients with bipolar disorder (BD) and to investigate in vitro influence of two standard mood stabilizers: lithium and valproic acid on these parameters using flow cytometry. Our results show that T lymphocytes of BD patients, especially those treated with lithium, have reduced proliferation capacity compared to healthy people. In vitro studies showed that valproic acid reduces the number of cell divisions and percentages of proliferating cells regardless of health status but mainly in very high dose, while lithium has no significant influence on proliferation capacity of patients' T lymphocytes. Lymphocytes of BD patients are also more prone to apoptosis compared with healthy individuals which is related to high expression of Bax, a pro-apoptotic protein. In vitro lithium protected patients' lymphocytes from apoptosis proportionally to dose used. Valproic acid protected lymphocytes of patients from apoptosis mainly in therapeutic concentration. Our results show that mood stabilizers used to prevent relapses of the disease have anti-apoptotic effect on T lymphocytes of BD patients but they are not able to improve their proliferation capacity.

Prevalence of anxiety disorders in epilepsy.

OBJECTIVE: Anxiety disorders (ADs) are common in patients with epilepsy (PWE). The aim of this study was to estimate the prevalence of specific ADs in outpatients with epilepsy. METHODS: A group of 118 consecutive outpatients with epilepsy were screened, and 96 patients meeting inclusion criteria were examined by a trained psychiatrist using Structured Clinical Interview (SICD-I) for Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (Text Revision) (DSM-IV-TR). RESULTS: A diagnosis of any current AD was established in 16 (16.7%) out of 96 participants. Furthermore, panic disorder (PD) was the most frequent AD; it was observed in 13.5% of PWE and constituted 81.2% of the identified ADs in the study group. Older age and later age of seizure onset were associated with increased odds of AD diagnosis. STUDY LIMITATIONS: The cross-sectional study design, a consecutive sample of patients presenting to a tertiary referral center, and small sample size of the population could have affected the results. CONCLUSIONS: Panic disorder and other forms of AD are common among PWE. Age and age of seizure onset are important factors associated with AD among PWE.