Validation of the Greek version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)

Psychometric properties of the Lithuanian version of the NDDI-E in persons with epilepsy and suicidal ideation

BACKGROUND

Suicidality and depression are associated with worse epilepsy outcomes, but their screening in routine clinical practice remains insufficient and may improve with the validation of brief and accessible psychometric tools. We explored the psychometric properties of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) in the Lithuanian population, which has one of the highest suicide rates globally.

METHODS

We conducted a cross-sectional anonymous survey among adult outpatients visiting a tertiary epilepsy clinic in Vilnius, Lithuania. People with epilepsy (PWE) provided demographic and clinical information and completed the Geriatric depression scale (GDS), the Hospital anxiety and depression scale (HADS), the Beck depression inventory (BDI), the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Generalized anxiety scale-7 (GAD-7). Suicidal ideation was defined as a non-zero score on the suicide item of the BDI and clinically relevant levels of depression - as a total BDI score of >16. Psychometric properties of the NDDI-E were evaluated by measuring its internal consistency, dimensionality, correlation with other depression scales, and by conducting receiver operating characteristic analysis for the detection of suicidal ideation and symptoms of depression.

RESULTS

The study sample consisted of 246 PWE (average age 39.9 ± 16.3 years, 101 [41.1%] male), of them 31 (12.6%) and 41 (19.5% of those who completed the BDI) were identified with suicidal ideation or significant symptoms of depression, respectively. On average, PWE scored 10.4 ± 4.2 points on the NDDI-E. The instrument had good internal consistency (Cronbach's alpha = 0.863, n = 235), item-item and item-total correlation (>0.30). In factor analysis, its items comprised a single factor distinct from the GAD-7. The NDDI-E strongly correlated with other depression scales (r = 0.657 [GDS, n = 201], r = 0.657 [BDI, n = 201], r = 0.623 [HADS-D, n = 231], p < 0.001 for all). The NDDI-E had good diagnostic properties in discerning suicidal ideation (AUC = 0.858, 95%CI = 0.791-0.925). The isolated suicide item of the NDDI-E had acceptable properties in detecting suicidal ideation (AUC = 0.821, 95%CI = 0.724-0.918) as well.

CONCLUSION

The Lithuanian NDDI-E was shown to have good psychometric properties comparable to other versions of this scale. The NDDI-E is endorsed as a short and accessible instrument for estimating suicidal ideation among Lithuanian PWE.

Point prevalence of depression in persons with active epilepsy and impact of methodological moderators: A systematic review and meta-analysis

OBJECTIVES

The aim of this study was to determine the pooled prevalence of depression in persons with epilepsy and assess the methodological moderators affecting the prevalence estimates.

METHODS

Five electronic databases PubMed, The Cochrane Library, EMBASE, WHO Global Index Medicus, and Clinicaltrial.gov were searched for studies reporting prevalence of depression in PWE ≥ 18 years of age in any setting.

RESULTS

Out of 13,873 studies, after deduplication and screening, 56 studies with 10,527 PWE met the eligibility criteria. The overall pooled prevalence of depression in PWE was 32% (95%confidence interval [CI] 28-35%) and significant heterogeneity (Chi-square = 1171.53, p = 0.00; τ² = 0.02; I² = 94.36%). Prevalence has doubled in the recent years (16% in 2000-2005 vs. 35% in 2016-2020), was higher in Asia than in Europe (coefficient 0.899, 95%CI: 0.809-0.999; p = 0.049). Among assessment methods, prevalence was highest in HAM-D scale (54%, 95%CI: 27-82%) and lowest in MINI (22%, 95%CI: 19-26%). Sensitivity analysis also corroborated findings when MINI was excluded (35%, 95%CI: 31-38%).

CONCLUSIONS

A significant proportion of PWE have depression. Though there is substantial heterogeneity due to various methodological moderators, it is unlikely to affect the routine screening of PWE for depression. Use of a screening tool should be based on ease of administration, and cutoff selection should ensure identification of minimal depression as well.

Evaluation of reliability and validity of the Persian version of the Neurological Disorders Depression Inventory for Epilepsy (P-NDDI-E)

INTRODUCTION

Major depression is common among people with epilepsy (PWE), but it is underdiagnosed. The aim of the present study was to assess the reliability and validity of the Persian version of the Neurological Disorders Depression Inventory for Epilepsy (P-NDDI-E) as a screening tool for major depression in patients with epilepsy.

METHOD

A total of 210 patients suffering from epilepsy have been assessed using the NDDI-E and the Beck Depression Inventory-II (BDI-II) with no difficulty in understanding or answering the Persian version of the questionnaire. Patients identified as depressed under BDI-II underwent a psychiatric evaluation to confirm depression according to 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD) criteria.

RESULT

According to the BDI-II and the ICD-10 criteria, major depression was diagnosed in 75 patients (32% men, 68% women). Cronbach's α coefficient was 0.826, suggesting a very good internal consistency. The receiver operating characteristic analysis showed an area under the curve of 0.90 (95% confidence interval [CI] = 0.86-0.94, standard error [SE]: 0.02, p < 0.001). A cutoff of ≥14 resulted in an 83% sensitivity, an 80% specificity, a 70.1% positive predictive value, and an 88.6% negative predictive value. A significant and positive correlation between the P-NDDI-E and the BDI-II was shown (Spearman's ρ = 0.604, p < 0.001).

DISCUSSION

The P-NDDI-E could be used as a reliable and valid instrument in detecting major depression in PWE.

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

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.

Reliability and validity of the Taiwanese version of the Neurological Disorders Depression Inventory for Epilepsy (Tw-NDDI-E)

INTRODUCTION

Depression is the most commonly seen psychiatric co-morbidity of epilepsy. Depression in patients with epilepsy (PWE) is underrecognized. The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is a useful tool to screen for major depressive episodes (MDEs) in PWE. This study validated the Taiwanese version of the NDDI-E using data from adult PWE in our hospital.

METHOD

PWE were recruited from the Taipei Veterans General Hospital from April 2017 to December 2019. The Chinese version of the NDDI-E for the Taiwanese population and the Beck Depression Inventory-II (BDI-II) were completed as part of the self-rated psychiatric assessments. The mood disorder module of the Mini International Neuropsychiatric Interview (MINI) was completed as part of the psychiatric assessment before the self-rated assessment. Internal consistency, external validation, and receiver operator characteristic (ROC) curve analysis were used to assess the utility of the Taiwanese version of the NDDI-E.

RESULTS

We recruited 109 patients during the 33-month study period. The mean age was 33.1 ± 8.94 years old. The mean NDDI-E score was 12.32 ± 4.96. The mean BDI-II score was 13.26 ± 12.77. All NDDI-E items were significantly positively associated with the corrected overall NDDI-E score (Cronbach's alpha = 0.902, r = 0.825, p < 0.0001). The cut-off point for the NDDI-E determined with receiver operating characteristic (ROC) curve analysis is 15 (sensitivity = 85.0%, specificity = 87.64%).

CONCLUSION

The Chinese version of the NDDI-E adapted for the Taiwanese population is a reliable and valid self-reported questionnaire for detecting MDE in Taiwanese PWE.

Validity and reliability of the Turkish version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)

The aim of this study was to test the validity and reliability of the Turkish version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), which was developed to rapidly investigate depressive symptoms in patients with epilepsy. A consecutive sample of 51 patients with epilepsy was included in the study. The Beck Depression Inventory (BDI) and the Turkish version of the NDDI-E were applied to the participants. During the application, it was observed that the participants could quickly fill the scale without any difficulties in understanding the translated items. The Cronbach's α coefficient was 0.721. Receiver operating characteristic analysis showed an area under the curve of 0.902 (95% confidence interval [CI] = 0.822-0.983), a cutoff score of >15, a sensitivity of 88.2%, a specificity of 82.4%, a positive predictive value of 71.4%, a negative predictive value of 93.3%. The NDDI-E Turkish version scores were significantly and positively correlated with those of the BDI (Spearman's ρ = 0.832, p < 0.001). In conclusion, it has been determined that the Turkish version of the NDDI-E can be used as a valid and reliable measurement tool to detect major depression in Turkish people with epilepsy.

Validation of the Indian version of Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)

PURPOSE

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is an efficient tool for rapid detection of depression, an important comorbid condition in persons with epilepsy (PWE). Since social and cultural differences can potentially affect the cutoff score of NDDI-E, in this study, the reliability and validity of the Indian version of the NDDI-E in PWE was determined.

METHOD

After ethical clearance, 217 PWE above 18 years of age, on antiepileptic drugs (AEDs), attending neurology outpatient department (OPD) of All India Institute of Medical Sciences (AIIMS), New Delhi, India, were evaluated for depression using the NDDI-E (Indian version) and Mini International Neuropsychiatric Interview (MINI-Module A, version 6.0.0) as reference standard. Informed consent was taken before recruitment. Receiver operating characteristic (ROC) analysis and Cronbach's α, a measure of the internal consistency and reliability, were carried out to validate cutoff and questionnaire, respectively.

RESULTS

Of the 217 PWE (112 males/105 females), mean age of 28.6 ± 9.4 years, with generalized (69.1%) or focal seizures (30.9%), 41.5% and 10.6% were diagnosed with depression using MINI and NDDI-E Indian version (at cutoff >15), respectively. However, at a cutoff score of >11, the Indian version of NDDI-E had a sensitivity of 96.67%, a specificity of 84.25%, a positive predictive value of 81.31%, and a negative predictive value of 97.27%. ROC analysis showed an area under the curve (AUC) of 0.9547 (confidence interval (CI) 95% = 0.929-0.979; standard error (SE): 0.0127). With the Indian version of NDDI-E, the Cronbach's α value was 0.877.

CONCLUSION

A periodic assessment of PWE using a quickly administrable and reliable tool for screening depression is highly desirable given the high incidence. In the Indian population with a cutoff of >11, NDDI-E is a reliable and valid instrument to screen depression in PWE.

Validation of the Neurological Disorders Depression Inventory for Epilepsy (NDDIE) as a rapid suicidality screening tool in Chinese people with epilepsy

OBJECTIVE

The objective of this study was to validate the Chinese version of the Neurological Disorders Depression Inventory for Epilepsy (NDDIE) as a suicidality screening tool in Chinese people with epilepsy (PWE).

METHODS

A consecutive cohort of PWE was recruited from West China Hospital and 363 Hospital. Each patient received a psychiatric evaluation with the Mini International Neuropsychiatric Interview (MINI) and the Chinese version of the NDDIE (C-NDDIE). Demographic and clinical characteristics were collected. Receiver operating characteristic (ROC) curve analysis was conducted. The best possible cutoff was identified with the highest Youden index. Specificity, sensitivity, positive, and negative predictive values were calculated.

RESULTS

Among a total of 355 participants, 41 (11.5%) had a moderate to high suicide risk according to the Suicidality Module (SM) of the MINI. Receiver operating characteristic (ROC) curve analysis showed that item 4 ("I'd be better off dead") of the NDDIE had an area under the curve (AUC) of 0.930 (95% confidence interval [CI] = 0.884-0.977), a sensitivity of 80.5%, a specificity of 94.9%, a positive predictive value (PPV) of 68.0%, a negative predictive value (NPV) of 97.7%, and the largest Youden index of 0.754 for a cutoff score of >2.

CONCLUSION

Item 4 of the NDDIE is a valuable tool for screening suicidality in Chinese PWE.

Optimal cutoff score of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) for detecting major depressive disorder: A meta-analysis

BACKGROUND AND PURPOSE

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is a useful inventory for screening major depressive disorder (MDD) in people with epilepsy (PWE). The cutoff score for detecting MDD has been reported with the range of >11 to >16. The aim of this study was to find optimal cutoff score of the NDDI-E for MDD detection by combining the raw data from previous studies.

METHODS

We searched MEDLINE, EMBASE, Cochrane Library, Web of Science, and SCOPUS to identify proper studies. Original researches, which tested the accuracy of NDDI-E for MDD detection in adult PWE, were recruited. We included the studies in which MDD was diagnosed by a gold standard structural interview, the Mini International Neuropsychiatric Interview (MINI). In addition, we included only the studies providing enough information for meta-analysis: number of PWE with MDD, number of total PWE, and sensitivity (Se) and specificity (Spe) for each cutoff score. After collecting data from included studies, we performed a diagnostic test accuracy (DTA) meta-analysis using bivariate model.

RESULTS

We identified 13 validation studies conducted in outpatient epilepsy clinic setting. As summary estimates of test accuracy measures, the Se, Spe, and diagnostic odds ratio (DOR) of NDDI-E for MDD detection were 0.81, 0.84, and 22.48, respectively. The analysis using the multiple thresholds model showed that the NDDI-E score of 13.2 was the best fit for MDD detection. When analyzing only with the seven data sets of the cutoff score >13, the Se, Spe, and DOR were 0.87, 0.80, and 25.72, respectively.

CONCLUSIONS

The optimal NDDI-E cutoff score for MDD detection is >13. The information provided by this DTA meta-analysis will be a useful reference for applying NDDI-E in geographic areas where no NDDI-E validation studies have been conducted for their languages.

Major depressive disorder in epilepsy clinics: A meta-analysis

BACKGROUND AND PURPOSE

Although depression is a frequent psychiatric comorbidity in people with epilepsy (PWE), its prevalence has been underestimated. Comorbid depression has negative impacts on treatment outcomes and quality of life (QOL). It also causes various problems in PWE, such as fatigue, irritability, and suicidality. This meta-analysis was performed to estimate the frequency of major depression disorder (MDD) in clinics managing PWE.

METHODS

We searched MEDLINE, EMBASE, Cochrane Library, Web of Science, and SCOPUS to identify studies. Hospital-based studies and original research presenting information regarding prevalence of MDD, determined using a gold standard diagnostic tool in adult PWE, were considered for inclusion. The prevalence of depression was examined by meta-analysis. In addition, subgroup analysis was performed based on the continent where the selected studies were conducted, the strictness of selection criteria, and gender. Strict selection criteria were defined as any mention of the use of exclusion criteria.

RESULTS

A total of 6607 studies were identified by searching the five databases outlined above. After screening and rescreening, 35 studies were included in the meta-analysis. The total number of PWE was 5434. In the test for heterogeneity of the studies, I² was 68.014, and the Cochran Q value was 106.296 (p < 0.01). As a pooled estimate, the point prevalence of MDD in PWE was 21.9% with a 95% confidence interval (CI) of 20.8-23.0 in a fixed effects model. In subgroup analyses, continent partly explained the heterogeneity among the selected studies, but the strictness of selection criteria did not. The prevalence of MDD was higher in females than in males (26.4% vs. 16.7%, respectively) with an odds ratio (OR) of 1.805 (95% CI: 1.443-2.258; p < 0.01).

CONCLUSIONS

The point prevalence of MDD is estimated at 21.9% among PWE in epilepsy clinics and is higher in females than in males. Based on this relatively high prevalence in PWE, measures are required to identify and resolve MDD. In addition, the female predominance of MDD among PWE indicates a need to pay greater attention to females. Such efforts may reduce the impact of depression in PWE and improve their QOL.

Validation of the Polish version of the Beck Depression Inventory in patients with epilepsy

BACKGROUND

Despite the fact that depressive disorders are the most common comorbidities among patients with epilepsy (PWE), such disorders often go unrecognized and untreated. In addition, the availability of validated screening instruments to detect depression in PWE is limited. The aim of the present study was thus to validate the Polish version of the Beck Depression Inventory (BDI) in adult PWE.

METHODS

A group of 118 outpatient PWE were invited to participate in the study. Ninety-six patients meeting the inclusion criteria completed the Polish Version of Beck Depression Inventory-I (BDI-I) and were examined by a trained psychiatrist using the Structured Clinical Interview (SICD-I) for Diagnostic and statistical manual of mental disorders - fourth edition (Text revision) (DSM-IV-TR). Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores for BDI.

RESULTS

Receiver operating characteristic analysis showed the area under the curve to be approximately 84%. For major depressive disorder (MDD) diagnosis, the BDI demonstrated the best psychometric properties for a cut-off score to be 18, with a sensitivity of 90.5%, specificity of 70.7%, positive predictive value (PPV) of 46.3%, and negative predictive value (NPV) of 96.4%. For the 'any depressive disorder' group, the BDI optimum cut-off score was 11, with a sensitivity of 82.5%, specificity of 73.2%, PPV of 68.8%, and NPV of 85.4%.

CONCLUSIONS

The BDI score is a valid psychometric indicator for depressive disorders in PWE maintaining adequate sensitivity and specificity, high NPV, and acceptable PPV with an optimum cut-off score of 18 for MDD diagnosis.

Validation of the Greek Version of the Fibromyalgia Rapid Screening Tool

BACKGROUND AND AIM

The Fibromyalgia Rapid Screening Tool (FiRST) is a brief, simple, and straightforward self-administered questionnaire that was developed by Perrot et al. for the detection of fibromyalgia syndrome in patients with diffuse chronic pain. The aim of our study was to develop and validate the Greek version of FiRST.

METHODS

The study was set up as a prospective observational study. The original French version of FiRST was adapted into Greek using forward and backward translation. Patients with chronic diffuse pain with a clinical diagnosis of fibromyalgia and osteoarthritis based on the criteria of the American College of Rheumatology were invited to participate to the study.

RESULTS

Of the 101 patients who met our inclusion criteria, 42 were diagnosed with fibromyalgia and 59 with osteoarthritis. The 2 groups did not differ significantly regarding gender and pain characteristics (duration, intensity). Cronbach's alpha coefficient was 0.79. Receiver operating characteristic analysis showed an area under the curve of 89% (95% confidence interval = 83 to 95%; SE: 0.032, P < 0.001). At a cutoff score of ≥ 5, FiRST showed a sensitivity of 86%, a specificity of 83%, a positive predictive value of 78%, and a negative predictive value of 89%. The intraclass coefficient for the test-retest reliability was 0.96.

CONCLUSION

The Greek version of FiRST is a valid screening tool for fibromyalgia in daily practice.

Validation of the Polish Version of the Hamilton Rating Scale for Depression in patients with epilepsy

OBJECTIVE

Depressive disorders are the most common comorbidities among patients with epilepsy (PWE). The availability of standardized clinical instruments for PWE is limited with scarce validation studies available so far. The aim of the study was to validate the Polish Version of the Hamilton Rating Scale for Depression (HRSD) in adult PWE.

METHODS

A group of 96 outpatient PWE were examined by a trained psychiatrist using the Structured Clinical Interview (SCID-I) for DSM-IV-TR and the 17-item Polish Version of HRSD (HRSD-17). Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores.

RESULTS

The ROC analyses showed areas under the curve approximately 0.9. For diagnoses of MDD, HRSD-17 demonstrated the best psychometric properties for a cutoff score of 11 with sensitivity of 100%, specificity of 89.3%, positive predictive value of 72.4%, and negative predictive value of 100%.

CONCLUSIONS

The 17-item Polish Version of HRSD proved to be reliable and valid in the epilepsy setting with a cutoff score of 11 points.

Validation of the Hospital Anxiety and Depression Scale in patients with epilepsy

OBJECTIVE

Despite the fact that depressive disorders are the most common comorbidities among patients with epilepsy (PWEs), they often go unrecognized and untreated. The availability of validated screening instruments to detect depression in PWEs is limited. The aim of the present study was to validate the Hospital Anxiety and Depression Scale (HADS) in adult PWEs.

METHODS

A consecutive group of 118 outpatient PWEs was invited to participate in the study. Ninety-six patients met inclusion criteria, completed HADS, and were examined by a trained psychiatrist using Structured Clinical Interview (SCID-I) for DSM-IV-TR. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores for the HADS depression subscale (HADS-D).

RESULTS

Receiver operating characteristic analyses showed areas under the curve at approximately 84%. For diagnoses of MDD, the HADS-D demonstrated the best psychometric properties for a cutoff score ≥7 with sensitivity of 90.5%, specificity of 70.7%, positive predictive value of 46.3%, and negative predictive value of 96.4%. In the case of the group with 'any depressive disorder', the HADS-D optimum cutoff score was ≥6 with sensitivity of 82.5%, specificity of 73.2%, positive predictive value of 68.8%, and negative predictive value of 85.4%.

CONCLUSIONS

The HADS-D proved to be a valid and reliable psychometric instrument in terms of screening for depressive disorders in PWEs. In the epilepsy setting, HADS-D maintains adequate sensitivity, acceptable specificity, and high NPV but low PPV for diagnosing MDD with an optimum cutoff score ≥7.

Rapid detection of generalized anxiety disorder and major depression in epilepsy: Validation of the GAD-7 as a complementary tool to the NDDI-E in a French sample

OBJECTIVE

Generalized anxiety disorder (GAD) in people with epilepsy (PWE) is underdiagnosed and undertreated. The GAD-7 is a screening questionnaire to detect GAD. However, the usefulness of the GAD-7 as a screening tool in PWE remains to be validated. Thus, we aimed to: (1) validate the GAD-7 in French PWE and (2) assess its complementarity with regard to the previously validated screening tool for depression, the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E).

METHODS

This study was performed under the auspices of the ILAE Commission on Neuropsychiatry. People with epilepsy >18 years of age were recruited from the specialist epilepsy unit in Marseille, France. The Mini-International Neuropsychiatric Interview (MINI) was performed as gold standard, and the Penn State Worry Questionnaire (PSWQ) and the NDDI-E were performed for external validity. Data were compared between PWE with/without GAD using Chi(2) test and Student's t-test. Internal structural validity, external validity, and receiver operator characteristics were analyzed. A principal component factor analysis with Varimax rotation was performed on the 13 items of the GAD-7 (7 items) plus the NDDI-E (6 items).

RESULTS

Testing was performed on 145 PWE: mean age = 39.38 years old (SD=14.01, range: 18-75); 63.4% (92) women; 75.9% with focal epilepsy. Using the MINI, 49 (33.8%) patients had current GAD. Cronbach's alpha coefficient was 0.898, indicating satisfactory internal consistency. Correlation between GAD-7 and the PSQW scores was high (r (145)=.549, P<.0001), indicating good external validity. Factor analysis shows that the anxiety investigated with the GAD-7 and depression investigated with the NDDI-E reflect distinct factors. Receiver operator characteristic analysis showed area under the curve of 0.899 (95% CI 0.838-0.943, P < 0.0001) indicating good capacity of the GAD-7 to detect GAD (defined by MINI). Cutoff for maximal sensitivity and specificity was 7. Mean GAD-7 score in PWE with GAD was 13.22 (SD = 3.99), and that without GAD was 5.17 (SD = 4.66).

SIGNIFICANCE

This study validates the French language version of the GAD-7 screening tool for generalized anxiety in PWE, with a cutoff score of 7/21 for GAD, and also confirms that the GAD-7 is a short and easily administered test. Factor analysis shows that the GAD-7 (screening for generalized anxiety disorder) and the NDDI-E (screening for major depression) provide complementary information. The routine use of both GAD-7 and NDDI-E should be considered in clinical evaluation of patients with epilepsy.

Validation of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) Serbian version

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was developed and proven efficient for the rapid detection of a major depressive episode in people with epilepsy. This study describes the development, validation, and psychometric properties of the NDDI-E Serbian version. A consecutive sample of 103 patients with epilepsy was assessed using the Beck Depression Inventory (BDI) and the NDDI-E. All patients had no major difficulties in understanding or answering the questions of the Serbian version. Cronbach's alpha coefficient was 0.763. Receiver operating characteristic analysis showed an area under the curve of 0.943 (95% CI; 0.826 to 0.951), a cutoff score of ≥14, a sensitivity of 72.2%, a specificity of 95.2%, a positive predictive value of 81.3%, and a negative predictive value of 94.3%. The NDDI-E Serbian version scores were significantly and positively correlated with those of the BDI (p<0.001). The NDDI-E Serbian version constitutes a concise and consistent depression screening instrument for patients with epilepsy.

Reevaluating the prevalence and diagnostic subtypes of depressive disorders in epilepsy

OBJECTIVE

Depressive disorders are common among patients with epilepsy (PWE). The aim of this study was to estimate the prevalence of different forms of depressive disorders among PWE treated in the outpatient setting.

METHODS

A group of consecutive PWE that visited the epilepsy outpatient clinic was invited to participate in the study. Ninety-six patients met inclusion criteria and were examined by a trained psychiatrist using standardized measures.

RESULTS

A diagnosis of a current major depression was established in 21 (22.3%) out of 96 participants. Furthermore, almost 20% of the study group fulfilled criteria for mood disorder categories other than MDD, adding up to over 40% of PWE suffering from any mood disorder category. Older age and later age at seizure onset, as well as unemployment, were associated with an increase in the odds of MDD diagnosis.

STUDY LIMITATIONS

A number of limitations are to be considered: the sample size is relatively small, and the findings may not be representative of PWE in general because our population represents a sample coming from a single outpatient clinic with a higher ratio of drug-resistant epilepsy.

CONCLUSIONS

Major depression as well as other forms of depressive disorders are common among PWE. Unemployment, age, and age at seizure onset are important factors associated with major depression among PWE.

Validation of the Chinese version of the Neurological Disorders Depression Inventory for Epilepsy (C-NDDI-E) in West China

OBJECTIVE

We aimed to validate the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) for Chinese people with epilepsy (PWE).

METHODS

The NDDI-E was translated into a Chinese version. A consecutive cohort of PWE from West China Hospital was recruited to test the reliability and validity of the Chinese version of the NDDI-E (C-NDDI-E). Each patient underwent the Mini International Neuropsychiatric Interview (MINI) and C-NDDI-E.

RESULTS

A total of 202 PWE completed the psychiatric evaluation. The C-NDDI-E was easily comprehended and quickly completed by all participants. Fifty-four patients (26.7%) had current major depressive disorder (MDD) according to the MINI criteria. The Cronbach's α coefficient for the C-NDDI-E was 0.825. Receiver operating characteristic analyses showed an area under the curve of 0.936 (95% CI=0.904-0.968). At a cutoff score of >12, the C-NDDI-E had a sensitivity of 0.926, a specificity of 0.804, a positive predictive value of 0.633, and a negative predictive value of 0.967.

CONCLUSION

The C-NDDI-E is a valuable instrument for screening MDD in Chinese PWE.

Reliability and validity of the Chinese version of the Neurological Disorders Depression Inventory for Epilepsy (C-NDDI-E)

OBJECTIVE

The aim of this study was to evaluate the clinical reliability and validity of the Chinese version of the Neurological Disorders Depression Inventory for Epilepsy (C-NDDI-E).

METHODS

A total of 248 Chinese patients with epilepsy underwent psychometric tests, including the Chinese version of the Mini International Neuropsychiatric Interview (C-MINI), the Chinese version of the Beck Depression Inventory - II (C-BDI-II), and the C-NDDI-E.

RESULTS

None of the patients had difficulties understanding or completing the C-NDDI-E. Cronbach's α coefficient was 0.824. At a cutoff score of ≥14, the C-NDDI-E had a sensitivity of 0.854, a specificity of 0.899, a positive predictive value of 0.625, and a negative predictive value of 0.969. The scores for the C-NDDI-E were positively correlated with those for the C-BDI-II (P<0.001).

CONCLUSION

The C-NDDI-E is a reliable and valid screening tool for the detection of major depression in Chinese patients with epilepsy.

One step closer to a global tool for rapid screening of major depression in epilepsy: validation of the French NDDI-E

OBJECTIVE

Depression in people with epilepsy (PWE) is underdiagnosed and undertreated. The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is a screening questionnaire used for detecting major depressive episode (MDE) in PWE, and is already validated in 10 languages. However a version in French, one of the world's widely spoken languages, was, until now, lacking. We aimed to translate and validate the French NDDI-E.

METHODS

This study was performed under the auspices of the ILAE. People with epilepsy >18years of age were recruited from 2 specialist epilepsy units in Marseille, France. Two native French speakers and 2 native English speakers performed a forward-backward translation. The Mini International Neuropsychiatric Interview (MINI) was performed as the gold standard, and the Center for Epidemiological Studies Depression symptoms index (CES-D) was performed for external validity. Data were compared between PWE with MDE and PWE without MDE using the chi-square test and Student's t-test. Internal structural validity, external validity, and receiver operator characteristics were analyzed.

RESULTS

Testing was performed on 116 PWE: mean age=40.39years (SD=13.83, range: [18-81]years old); 58.6% (68) were women; 87.1% had focal epilepsy. Using the MINI, we found that 33 (28.4%) patients had current MDE and that 15 (12.9%) patients had dysthymia; also, we found that 37 (31.9%) patients presented suicidal ideation and/or behavior. Cronbach's alpha coefficient was 0.838, indicating satisfactory internal consistency. Correlation between the NDDI-E and the CES-D scores was high (r(116)=0.817, p<0.0001), indicating good external validity. Receiver operator characteristic analysis showed an area under the curve of 0.958 (95% CI=0.904-0.986), (p<0.0001), indicating good capacity of the NDDI-E to detect MDE (defined by MINI). The cutoff for maximal sensitivity and specificity was 15. The mean NDDI-E score in PWE with MDE was 18.27 (SD=2.28), and the mean NDDI-E score in PWE without MDE was 10.61 (SD=3.63).

SIGNIFICANCE

This study validated the French NDDI-E, with a cutoff score of 15/24 for MDE, similar to previous studies, and reinforces the NDDI-E as a global tool for detection of MDE.

Disobedience and driving in patients with epilepsy in Greece

OBJECTIVE

Regulations and guidelines regarding driving privileges of patients with epilepsy vary greatly worldwide. The aim of our study was twofold: firstly, to evaluate disobedient drivers in Greece and to elucidate their awareness of the law, emotional responses, and seizure profile and, secondly, to identify determinants of disobedience regarding driving among patients with epilepsy.

METHODS

All consecutive patients with epilepsy who visited the epilepsy outpatient clinic of two tertiary epilepsy centers were invited to participate in the study. One hundred ninety patients met our inclusion criteria.

RESULTS

Fifty-two percent of our study population was aware of the driving restrictions. More than one out of three patients were disobedient (35.8%). Being a male was associated with a 6.07-fold increase in the odds of being disobedient (95% CI: 2.73-13.47, p < 0.001); being employed was associated with a 4.62-fold increase in the odds of being disobedient (95% CI: 2.20-9.68, p < 0.001); and each extra antiepileptic drug (AED) was associated with a decrease in the odds of disobedience by a factor of 0.41 (95% CI: 0.26-0.63, p < 0.001).

CONCLUSION

Male gender, employment, and number of AEDs are important determinants of disobedience regarding driving among patients with epilepsy.

Depression and anxiety in people with epilepsy

Many recent epidemiological studies have found the prevalence of depression and anxiety to be higher in people with epilepsy (PWE) than in people without epilepsy. Furthermore, people with depression or anxiety have been more likely to suffer from epilepsy than those without depression or anxiety. Almost one-third of PWE suffer from depression and anxiety, which is similar to the prevalence of drug-refractory epilepsy. Various brain areas, including the frontal, temporal, and limbic regions, are associated with the biological pathogenesis of depression in PWE. It has been suggested that structural abnormalities, monoamine pathways, cerebral glucose metabolism, the hypothalamic-pituitary-adrenal axis, and interleukin-1b are associated with the pathogenesis of depression in PWE. The amygdala and the hippocampus are important anatomical structures related to anxiety, and γ-aminobutyric acid and serotonin are associated with its pathogenesis. Depression and anxiety may lead to suicidal ideation or attempts and feelings of stigmatization. These experiences are also likely to increase the adverse effects associated with antiepileptic drugs and have been related to poor responses to pharmacological and surgical treatments. Ultimately, the quality of life is likely to be worse in PWE with depression and anxiety than in PWE without these disorders, which makes the early detection and appropriate management of depression and anxiety in PWE indispensable. Simple screening instruments may be helpful for in this regard, particularly in busy epilepsy clinics. Although both medical and psychobehavioral therapies may ameliorate these conditions, randomized controlled trials are needed to confirm that.

Validation of the generalized anxiety disorder-7 in people with epilepsy: a MEPSY study

The Generalized Anxiety Disorder-7 (GAD-7) is a valuable instrument to screen for anxiety in primary care patients. However, it has not been validated in people with epilepsy (PWE). Therefore, we validated the GAD-7 and examined its differential effect from adverse effects of antiepileptic drugs (AEDs) on the detection of anxiety in Korean PWE. Eligible patients who visited outpatient clinics in 4 tertiary care hospitals and 1 secondary care hospital underwent several instruments including the Mini International Neuropsychiatric Interview-Plus Version 5.0.0 (MINI-Plus 5.0.0), the Korean version of the Neurological Disorders Depression Inventory for Epilepsy (K-NDDI-E), the Korean version of the Liverpool Adverse Event Profile (K-LAEP), and the Quality of Life in Epilepsy-10 (QOLIE-10). Two hundred forty-three patients were enrolled in the study, and 51 (21.0%) patients had GAD by the MINI-Plus 5.0.0. Cronbach's α coefficient for the GAD-7 was 0.924. At a cutoff score of 6, the GAD-7 had a sensitivity of 92.2%, a specificity of 89.1%, a positive predictive value of 69.1%, and a negative predictive value of 97.7%. The GAD-7 score was well correlated with the K-NDDI-E score, the K-LAEP score, and the QOLIE-10 overall and subscale scores. The impact of adverse effects of AEDs on the GAD-7 was less than that on the K-NDDI-E. In conclusion, the GAD-7 is a reliable and valid screening tool for detecting GAD in PWE.

Validation of the Greek Version of the DN4 Diagnostic Questionnaire for Neuropathic Pain

BACKGROUND

The Douleur Neuropathique 4 questionnaire (DN4) was developed by the French Neuropathic Pain Group and is a simple and objective tool, primarily designed to screen for neuropathic pain. The aim of our study is to validate the DN4 in the Greek language.

METHODS

The study was set up as a prospective observational study. Two pain specialists independently examined patients and diagnosed them with neuropathic, nociceptive, or mixed pain, according to the International Association for the Study of Pain (IASP) definitions. A third and a fourth physician administered the DN4 questionnaire to the patients.

RESULTS

Out of the 237 patients who met our inclusion criteria and had identical diagnoses regarding the type of pain, 123 were diagnosed with neuropathic, 59 with nociceptive, and 55 with mixed pain. Among patients with identical diagnoses of neuropathic or nociceptive pain, using a receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) was 0.92. A cutoff point of equal or greater than 4 resulted in a sensitivity of 93% and a specificity of 78%. Among patients suffering from pain with neuropathic element (neuropathic or mixed pain) or pain with no neuropathic element (nociceptive pain), using a ROC curve analysis, the AUC was 0.89. A cutoff point of equal or greater than 4 resulted in a sensitivity of 89% and a specificity of 78%.

CONCLUSION

The Greek version of DN4 is a valid tool for discriminating between neuropathic and nociceptive pain conditions in daily practice.

Determinants of depression among patients with epilepsy in Athens, Greece

OBJECTIVE

Depression is common among patients with epilepsy. The aim of our study was twofold: to estimate the prevalence of a major depressive episode and to identify its determinants among patients with epilepsy treated in the largest Greek hospital in Athens.

METHODS

All consecutive patients with epilepsy that visited the epilepsy outpatient clinic of Evangelismos General Hospital were invited to participate in the study. Ninety-four patients met our inclusion criteria.

RESULTS

A diagnosis of a current major depressive episode was established in 21 out of 94 eligible to participate (22.3%) patients. Being a female was associated with a 19.68-fold increase in the odds of having a major depressive episode (95% CI 3.39-114.14, p=0.001); being unemployed was associated with a 6.46-fold increase in the odds of having a major depressive episode (95% CI 1.23-34.07, p=0.028), and each extra seizure experienced per month was associated with a 1.38-fold increase in the odds of having a major depressive episode (95% CI 1.03-1.85, p=0.031).

CONCLUSION

Unemployment, female gender, and seizure control are important determinants of a major depression episode among patients with epilepsy.