Evaluating the prevalence and risk factors for depression in patients with temporal lobe epilepsy with hippocampal sclerosis: A cross-sectional multicenter study.

BACKGROUND: Epilepsy frequently accompanies Major Depressive Disorder (MDD). Notably, people with temporal lobe epilepsy and hippocampal sclerosis may face an increased susceptibility to MDD, as evidence indicates the involvement of the limbic system in the development of emotional symptoms. OBJECTIVES: To determine the prevalence and predictors of depression in temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) and compare them to those of other epilepsy types. METHODS: A sample of 293 epilepsy patients, including 159 non-TLE-HS and 134 TLE-HS, were recruited from three hospitals. Of these, 215 completed a two-section electronic survey. The first section collected demographic and epilepsy data, while the second used the Arabic version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). RESULTS: Of 215 patients, 104 (48%) had TLE-HS-38 with right TLE-HS (37%), 56 with left TLE-HS (54%), and 10 with bilateral TLE-HS (10%). The prevalence and severity of depression was assessed with an NDDI-E score of 15 or higher identified 35 patients (16%) with MDD. Valproic acid and lamotrigine were associated with higher NDDI-E scores. No such associations were found for levetiracetam or carbamazepine. Polytherapy in TLE-HS showed a significant correlation with daily poor concentration. CONCLUSION: We explored the differences in depression prevalence between TLE-HS and other epilepsy types and concluded they are minimal but slightly higher in TLE-HS. Predictors of depression such as seizure frequency and disease duration influenced MDD prevalence in TLE-HS. Lamotrigine and valproate were linked to higher NDDI-E scores.

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.

Influence of COVID-19 pandemic on quality of life in patients with epilepsy - Follow-up study.

OBJECTIVE: To perform a follow-up study of the quality of life in patients with epilepsy in the era of the COVID-19 crisis. METHODS: Two months before the first case of the COVID-19 in Serbia, we obtained the Serbian Version of Quality of Life Inventory for Epilepsy 31 (SVQOLIE-31) and Neurological Disorders Depression Inventory for Epilepsy scores (SVNDDI-E) for another study. We retested the same patients one year after in COVID-19 pandemic. In addition to SVQOLIE-31, and SVNDDI-E we used a generic questionnaire compiled from items related to the COVID-19. RESULTS: We retested 97 out of 118 patients (82.2%) for the follow-up analysis. The average age was 36.1 ±â€¯12.2 (range: 18-69), and 49 were women (50.5%). The median duration of epilepsy was 13 years (range: 1.5-48). The structural etiology of epilepsy was noted in 41 (42.3%), unknown etiology in 41 (42.3%), and genetic etiology in 15 (15.4%) patients. Fewer patients (27.8%) experienced at least one seizure three months before follow-up testing when compared to patients who experienced at least one seizure three months in initial testing (36.0%) (p = 0.15). All patients reported full compliance with anti-seizure medication in the follow-up. The SVQOLIE-31 score during the COVID-19 pandemic visit (64.5 ±â€¯14.6) was significantly lower than the SVQOLIE-31 score before the pandemic (p < 0.001). The SVNDDI-E score during the COVID-19 pandemic (10.5 ±â€¯3.5) was significantly higher than the SVNDDI-E score before it (p < 0.001). Multiple linear regression analyses revealed fear of seizures, and fear of a reduction in household income, significantly associated with SVQOLIE-31 and SVNDDI-E overall score. These variables accounted for 66% and 27% of the variance of SVQOLIE-31 and SVNDDI-E overall score. SIGNIFICANCE: Lower quality of life, higher prevalence of depression, healthcare availability issues, and perceived fears during pandemic all suggest COVID-19 has negatively impacted lives of patients with epilepsy.

Depression in persons with epilepsy: A comparative study of different tools in Indian population.

OBJECTIVE: Depression is an important co-morbidity in persons with epilepsy (PWE) and its timely identification is essential. The aim of the study was to assess and compare the psychometric properties of potentially suitable screening tools of depression in PWE in a tertiary care setting in India. METHODS: After ethical clearance, 449 PWE above 18 years of age, on anti-seizure drugs (ASDs), attending epilepsy clinic in neurology outpatient department (OPD) of All India Institute of Medical Sciences, New Delhi, India, were recruited and evaluated for depression using different tools namely: Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Patient Health Questionnaire (PHQ-9) and Hamilton Depression Rating Scale (HAM-D). Mini International Neuropsychiatric Interview (MINI: Module A, version 6.0.0) was used as reference standard. The association if any of depression with PWE variables was also determined. RESULTS: A variable percentage of PWE were positive for depression- 40.1% with MINI, 40.5% with NDDI-E, 44.3% with HAM-D and 45.4% with PHQ-9. Suicidal ideation was present in 4.5% of PWE. The sensitivity and specificity of scales using MINI as a reference standard were found to be maximal at scores ≥5, ≥8 and >11 for PHQ-9, HAM-D, and NDDI-E, respectively. The ROC analysis revealed a statistically significant difference among NDDI-E and PHQ-9 (p = 0.0268). Polytherapy in PWE had significant association with risk of depression (p < 0.01) and female PWE had 1.5 times the odds of depression as compared with males (95% CI, 1.02-2.2). CONCLUSION: All the tools used in this study were found to be appropriate for use in PWE if cut-off points are validated. The choice of tool can be based on the clinical setting.

Validation of a Georgian version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E).

INTRODUCTION: This study aimed to validate a Georgian version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). The distribution of psychiatric disorders was assessed among patients with epilepsy. METHODS: One hundred and thirty consecutive adult patients with epilepsy completed the NDDI-E and the Beck Depression Inventory (BDI). All patients were further assessed by a qualified psychiatrist. RESULTS: In 31 (23.8%) patients, a diagnosis of major depression was revealed. The internal consistency of the NDDI-E was 0.695. Receiver operating characteristics (ROC) showed an area under the curve of 0.975. A cutoff score of ≥16 resulted in a sensitivity of 0.90 and a specificity of 0.939. The screening questionnaire showed a significantly positive correlation with BDI scores (Spearman's rho - 0.684), indicating good concurrent validity. DISCUSSION: The Georgian version of the NDDI-E is a reliable tool for the detection of depressive disorders in individuals with epilepsy.

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.

Screening for depression in youth with epilepsy: Psychometric analysis of NDDI-E-Y and NDDI-E in a French population.

OBJECTIVES: The objective of this study was to evaluate the Neurological Disorders Depression Inventory-Epilepsy (NDDI-E) for Youth (NDDI-E-Y) for screening for major depressive disorder (MDD) in French youth with epilepsy (YWE), in order to (1) validate this tool in a separate population; (2) determine whether the 12-item NDDI-E-Y affords advantages over the 6-item adult NDDI-E; (3) measure psychometric performance of each item. METHODS: Youth with epilepsy aged 11-17 years completed a 15-item questionnaire to calculate total scores for NDDI-E-Y (12 items) and NDDI-E (6 items). Gold standard for MDD was Children's Depression Inventory (CDI). Receiver operator characteristic (ROC) analyses for total NDDI-E-Y and NDDI-E scores were compared. Psychometric properties of each item were analyzed for: floor/ceiling effect, item-internal consistency, and ROC curve. RESULTS: Ninety-seven YWE were included; 21.6% had MDD (CDI > 15). Correlation was very high between total NDDI-E-Y and NDDI-E scores, and high between NDDI-E-Y and CDI. Cutoff point for the NDDI-E-Y maximizing both sensitivity and specificity was 23 (original study cutoff 32). The ROC analysis of the NDDI-E-Y showed an area under the curve (AUC) 0.967 (95% confidence intervals [CI] 0.909-0.992); (p < 0.0001). Sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) were 100% [83.9; 100], 82.9% [72.5; 90.6], 61.8 [43.6; 77.8], and 100% [94.3; 100], respectively. The NDDI-E-Y was not superior to NDDI-E according to pairwise comparison of ROC (p = 0.07). Psychometric analysis revealed marked differences between items. After eliminating items with poorer performance, a 6-item version of the NDDI-E-Y showed sensitivity, specificity, PPV, and NPV of 100% [85.5; 100], 85.5% [75.6; 92.5], 65.6 [46.8; 81.4], and 100% [94.5; 100], respectively. This was significantly better than the adult NDDI-E (p = 0.03) though not NDDI-E-Y (p = 0.07). SIGNIFICANCE: Significant difference in cutoff indicates that the NDDI-E-Y cannot yet be recommended for widespread screening of MDD in YWE. Discrepancies in psychometric performance between items suggest that further work is needed to examine both validation of the original 12-item NDDI-E-Y and comparison with a shorter version.

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 ±â€¯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.

Prediction of specific depressive symptom clusters in youth with epilepsy: The NDDI-E-Y versus Neuro-QOL SF.

OBJECTIVE: Proper assessment and early identification of depressive symptoms are essential to initiate treatment and minimize the risk for poor outcomes in youth with epilepsy (YWE). The current study examined the predictive utility of the Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y) and the Neuro-QOL Depression Short Form (Neuro-QOL SF) in explaining variance in overall depressive symptoms and specific symptom clusters on the gold standard Children's Depression Inventory-2 (CDI-2). METHODS: Cross-sectional study examining 99 YWE (female 68, mean age 14.7 years) during a routine epilepsy visit, who completed self-report measures of depressive symptoms, including the NDDI-E-Y, CDI-2, and the Neuro-QOL SF. Caregivers completed a measure of seizure severity. All sociodemographic and medical information was evaluated through electronic medical record review. RESULTS: After accounting for seizure and demographic variables, the NDDI-E-Y accounted for 45% of the variance in the CDI-2 Total score and the CDI-2 Ineffectiveness subscale. Furthermore, the NDDI-E-Y predicted CDI-2 Total scores and subscales similarly, with the exception of explaining significantly more variance in the CDI-2 Ineffectiveness subscale compared to the Negative Mood subscale. The NDDI-E-Y explained greater variance compared to Neuro-QOL SF across the Total (48% vs. 37%) and all CDI-2 subscale scores; however, the NDDI-E-Y emerged as a stronger predictor of only CDI-2 Ineffectiveness. Both the NDDI-E-Y and Neuro-QOL SF accounted for the lowest amount of variance in CDI-2 Negative Mood. Sensitivity was poor for the Neuro-QOL SF in predicting high versus low CDI-2 scores. SIGNIFICANCE: The NDDI-E-Y has strong psychometrics and can be easily integrated into routine epilepsy care for quick, brief screening of depressive symptoms in YWE.

Evaluating quality of life in epilepsy: The role of screening for adverse drug effects, depression, and anxiety.

OBJECTIVE: The objective of this study was to evaluate the contribution of validated screening tools for antiepileptic drug (AED) adverse effects, depression, and anxiety to measure the quality of life (QoL) in people with epilepsy (PWE). METHODS: Patients in a tertiary epilepsy service were screened for quality of life (using QOLIE-31), major depressive disorder (MDD) (NDDI-E), generalized anxiety disorder (GAD) (GAD-7), and AED effects (AEP). Mini International Neuropsychiatric Interview (MINI) generalized anxiety disorder module was also performed. For AEP validation in French, the internal structural validity was analyzed. Dimensional (NDDI-E and GAD-7 scores) and categorical (MDD and GAD) analyses were performed to investigate interactions between QoL and AEP. RESULTS: A total of 132 (87 females) subjects were included. The French version of the AEP demonstrated satisfactory psychometric properties (Cronbach's α 0.87). Correlations between NDDI-E, GAD-7, AEP, and QOLIE-31 scores were high, and significant for all subscales of QOLIE-31; no effect of seizure-related variables was seen. Some sex differences in QOLIE-31 subscales were found, and mean AEP score was higher in females. Age, sex, NDDI-E, GAD-7, and AEP scores accounted for 61% of variance of QOLIE-31 scores. Differential effects were seen on QOLIE-31 subscales: AEP strongly correlated with all subscales; GAD-7 scores more strongly correlated with "Seizure Worry"; NDDI-E with "Energy-Fatigue"; and both NDDI-E and GAD-7 scores strongly correlated with "Emotional Well-Being". Categorical analysis of groups with MDD alone, GAD alone, MDD+GAD, and neither MDD nor GAD showed significant differences in AEP and QOLIE-31 scores, with MDD+GAD showing the most AED effects and the poorest QoL. SIGNIFICANCE: The combination of screening tools for depression (NDDI-E), anxiety (GAD-7), and AED effects (AEP) has a strong power for evaluating QoL in PWE. Coexisting MMD and GAD were associated with the poorest quality of life and the highest AEP scores.

Major depressive episode, cognition, and epilepsy.

PURPOSE: In patients with epilepsy (PWE), relationships between depression, epilepsy characteristics, and cognitive aspects are complex. This study aimed to assess the occurrence of possible major depressive episode in PWE and to verify whether it is associated with the clinical aspects of the disease and cognition. METHODS: Two hundred consecutive PWE with a mean age and standard deviation of 47.6 (±15.1) years were included in the study. We determined whether their Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) scores were associated with their clinical, cognitive, and QOLIE-31 aspects using a significance level of 5% (p<0.05). RESULTS: Twenty-six patients (13%) had an NDDI-E score >15, suggestive of major depressive episode. Logistic regression showed that NDDI-E >15 was associated with seizure frequency (p=0.022) and worse performance in the category fluency test (p=0.003). An NDDI-E >15 was also correlated with lower quality of life (p<0.001). CONCLUSION: The present findings suggest that possible major depressive episode is associated not only with epilepsy characteristics but also with cognitive aspects, such as category fluency, and quality of life.

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.

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.

Effects of psychosocial functioning, depression, seizure frequency, and employment on quality of life in patients with epilepsy.

This study aimed to investigate the quality of life (QOL) in patients with epilepsy and its correlation with psychosocial impact, depression, seizure-related items, and living circumstances. One hundred two patients who visited the epilepsy clinic at Nagoya City University Hospital participated in this study. We used the Quality of Life in Epilepsy Inventory-31-P (QOLIE-31-P) as a measure of QOL, the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) as the screening instrument for rapid detection of major depression, and the Side Effects and Life Satisfaction Inventory (SEALS) to evaluate psychosocial functioning, seizure-related items, and living circumstances. Significant correlations of the QOLIE-31-P overall score with these questionnaires and seizure-related or demographic variables were identified and analyzed by stepwise linear regression. The QOLIE-31-P overall score correlated significantly with the NDDI-E, SEALS overall score, number of anticonvulsants, frequency of focal seizure with impairment of consciousness or awareness (focal seizure), sheltered work, and employment. The stepwise linear regression showed that the QOLIE-31-P overall score was explained by the effects of psychosocial functioning, depression, frequency of focal seizure, and employment, in that order, with these factors explaining 74% of the variance. Thus, using both the SEALS and NDDI-E may be useful to detect some aspects of QOL in clinical settings.

The use of the NDDI-E in Arabic to identify symptoms of depression of moderate or greater severity in people with epilepsy.

AIM: The aims of the current study were to translate and to validate the NDDI-E to the Arabic language to be used as a screening instrument to identify moderately severe symptoms of depression in people with epilepsy. METHODS: The English version of the NDDI-E was translated to Arabic and back translated to English by two independent translators. A total of 51 patients, aged 18-56years old, with a diagnosis of epilepsy, completed the Arabic versions of the Beck Depression Inventory (BDI-II) and the NDDI-E. Patients with BDI scores >20 were considered to be suffering from moderately severe depressive symptoms. Cutoff scores, sensitivity, specificity, and positive and negative predictive values of the NDDI-E to identify symptomatic patients on the BDI were calculated. RESULTS: A sensitivity of 93.33% and a specificity of 94.44% were found with NDDI-E total scores >15. The positive predictive value was 87.5%, and the negative predictive value was 97.14%. Spearman's rank correlation between the BDI and the NDDI-E was high (r=.78, p=0.000, N=51). Internal consistency was at 0.926 (Cronbach's alpha). CONCLUSION: The Arabic version of the NDDI-E appears to be a reliable and sensitive instrument in the identification of moderately severe or severe depressive symptoms in people with epilepsy, and it can be used with all Arabic-speaking patients.

Validation of the Patient Health Questionnaire-9 (PHQ-9) for depression screening in adults with epilepsy.

OBJECTIVE: This study aimed to assess the accuracy and operating characteristics of the Patient Health Questionnaire-9 (PHQ-9) for depression screening in adults with epilepsy. METHODS: Tertiary epilepsy center patients served as the study population, with 237 agreeing to structured interview using the Mini-International Neuropsychiatric Interview (MINI), a "gold standard" instrument developed for rapid diagnosis of neuropsychiatric disorders, including major depressive disorder (MDD); 172 also completed the PHQ-9, and 127 completed both the PHQ-9 and the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) within two days of the MINI. Sensitivity, specificity, positive and negative predictive values, and areas under the ROC curves for each instrument were determined. Cut-points of 10 for the PHQ-9 and 15 for the NDDI-E were used, and ratings at or above the cut-points were considered screen-positive. The PHQ-9 was divided into cognitive/affective (PHQ-9/CA) and somatic (PHQ-9/S) subscales to determine comparative depression screening accuracy. RESULTS: The calculated areas under the ROC curves for the PHQ-9 (n=172) and the PHQ-9/CA and PHQ-9/S subscales were 0.914, 0.924, and 0.846, respectively, with the PHQ-9 more accurate than the PHQ-9/S (p=0.002) but not different from the PHQ-9/CA (p=0.378). At cut-points of 10 and 15, respectively, the PHQ-9 had higher sensitivity (0.92 vs 0.87) but lower specificity (0.74 vs 0.89) compared with the NDDI-E. The areas under the ROC curves of the PHQ-9 and the NDDI-E showed similar accuracy (n=127; 0.930 vs 0.934; p=0.864). SIGNIFICANCE: The PHQ-9 is an efficient and nonproprietary depression screening instrument with excellent accuracy validated for use in adult patients with epilepsy as well as multiple other medical populations.

The usefulness of NDDI-E and QOLIE-10 scales for the screening of major depressive disorders in patients with epilepsy in video-EEG units.

OBJECTIVE: Mood disorders in patients with epilepsy are common, with depression being the most prevalent. However, this comorbidity is often underdiagnosed. The systematic use of scales such as NDDI-E and QOLIE-10 in prolonged video-EEG monitoring units could be a useful tool for the detection of this comorbidity. METHODS: Descriptive cross-sectional study of a series of patients with epilepsy evaluated in a prolonged video-EEG monitoring unit. RESULTS: Three hundred forty-nine patients were included. The mean age was 49.1 years, and 49.3% were female. 66.2% had focal epilepsy. 20.4% had pharmacoresistant epilepsy. 38.7% of patients had NDDI-E > 13. 43% of patients with focal epilepsy had NDDI-E > 13 versus 21.8% of patients with idiopathic generalized epilepsy (p = .015). Patients with focal temporal epilepsy had the highest rate of NDDI-E > 13 (48.5%). Significant association was found between patient-perceived mood and NDDI-E score (p < .001). However, in the group of patients with NDDI-E > 13, 37.6% had reported feeling "very good" or "good" in mood. Likewise, in the group that had reported feeling "very good" or "good" 21.6% had NDDI-E > 13. In 50.5% of patients with NDDI-E > 13 some kind of therapeutic intervention aimed at this comorbidity was performed. Perceived quality of life as measured by the QOLIE-10 scale was lower in patients with NDDI-E > 13 (p < .001). SIGNIFICANCE: The use of scales such as the NDDI-E and QOLIE-10 at the time of admission in video-EEG monitoring units allows screening for major depressive disorders in patients with epilepsy, which subsequently needs to be confirmed by formal assessment by a psychiatrist. Their systematic use in these units prevents some patients from going undiagnosed. Detection of these disorders allows targeted therapeutic intervention.

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

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was developed as a screening tool for symptoms of major depressive episodes in people with epilepsy. Our study describes the development, validation, and psychometric properties of the Greek version of the NDDI-E. A consecutive sample of 101 patients with epilepsy, eligible to participate in the study, has been assessed using the Mini International Neuropsychiatric Interview version 5.0.0 and the NDDI-E. All patients had no major difficulties in understanding or answering the questions of the Greek version. Cronbach's alpha coefficient was 0.74. Receiver operating characteristic analysis showed an area under the curve of 91% (95% CI=83%-99%; SE: 0.040, p<0.001). At a cutoff score of greater than 15, the NDDI-E showed a sensitivity of 91%, a specificity of 81%, and a negative predictive value of 97%.

[Depression in patients with epilepsy: experience in a private hospital in Argentina]. / Depresión en pacientes con epilepsia. Experiencia en un hospital privado de Argentina.

INTRODUCTION: Depression is the most frequent psychiatric disorder in patients with epilepsy, with an estimated prevalence between 35% and 60%, associated with poorer control of epileptic seizures. Despite the high prevalence of depression, many patients are not diagnosed, presenting a worse clinical course and quality of life. There are no prevalence studies in our population. The main objective was to determinate the prevalence of depression in epilepsy and its relationship with seizure control. MATERIALS AND METHODS: It is a prospective, descriptive and cross-sectional study of a cohort of patients who underwent the Depression Inventory in Patients with Neurological Disorders for Epilepsy (NDDI-E) and the data from the medical records were analyzed. RESULTS: A total of 121 patients were inluded, and the prevalence of depression was 43% (n:52), of whom 77% were women (p = 0.01). A 63% of patients with depression was diagnosed in this study. Most of them with good seizure control (70%) did not present depression, while the majority of those with poor (57%) and regular (63%) seizure control presented depression (p < 0.001). DISCUSSION: Comorbidity between depression and epilepsy is highly prevalent, negatively influencing the control of epileptic seizures. Most patients are underdiagnosed. Screening for major depression in patients with epilepsy is necessary, contributing to the clinical improvement.

Introducción: La depresión es el trastorno psiquiátrico más frecuente en pacientes con epilepsia, con una prevalencia estimada entre 35% y 60%, asociándose a un peor control de crisis epilépticas. A pesar de la gran prevalencia de depresión, muchos pacientes no son diagnosticados, presentando una peor evolución clínica y calidad de vida. No existen estudios de prevalencia en nuestro medio. El objetivo fue determinar la prevalencia de depresión en epilepsia y su relación con el control de crisis. Materiales y métodos: Es un estudio prospectivo, descriptivo y transversal de una cohorte de pacientes a los cuales se les realizó el Inventario de Depresión en Pacientes con Trastornos Neurológicos para Epilepsia (NDDIE) y se analizaron datos de las historias clínicas. Resultados: Se incluyeron 121 pacientes, la prevalencia de depresión fue 43% (n:52), el 77% eran mujeres (p = 0.01). Del total de pacientes con depresión, el 63% fue diagnosticado en este estudio. La mayoría tuvo buen control de la crisis (70%) y no presentó depresión, mientras que la mayoría con mal (57%) y regular (63%) control de la crisis presentó depresión (p < 0.001). Discusión: La comorbilidad entre depresión y epilepsia es altamente prevalente, influyendo negativamente en el control de las crisis epilépticas. La mayoría de los pacientes se encuentran subdiagnosticados. El tamizaje de la depresión mayor en aquellos con epilepsia es necesario, contribuyendo a la mejoría clínica.