Heterogeneity of patients with functional/dissociative seizures: Three multidimensional profiles.

OBJECTIVE: Current concepts highlight the neurological and psychological heterogeneity of functional/dissociative seizures (FDS). However, it remains uncertain whether it is possible to distinguish between a limited number of subtypes of FDS disorders. We aimed to identify profiles of distinct FDS subtypes by cluster analysis of a multidimensional dataset without any a priori hypothesis. METHODS: We conducted an exploratory, prospective multicenter study of 169 patients with FDS. We collected biographical, trauma (childhood and adulthood traumatic experiences), semiological (seizure characteristics), and psychopathological data (psychiatric comorbidities, dissociation, and alexithymia) through psychiatric interviews and standardized scales. Clusters were identified by the Partitioning Around Medoids method. The similarity of patients was computed using Gower distance. The clusters were compared using analysis of variance, chi-squared, or Fisher exact tests. RESULTS: Three patient clusters were identified in this exploratory, hypothesis-generating study and named on the basis of their most prominent characteristics: A "No/Single Trauma" group (31.4%), with more male patients, intellectual disabilities, and nonhyperkinetic seizures, and a low level of psychopathology; A "Cumulative Lifetime Traumas" group (42.6%), with clear female predominance, hyperkinetic seizures, relatively common comorbid epilepsy, and a high level of psychopathology; and A "Childhood Traumas" group (26%), commonly with comorbid epilepsy, history of childhood sexual abuse (75%), and posttraumatic stress disorder, but also with a high level of anxiety and dissociation. SIGNIFICANCE: Although our cluster analysis was undertaken without any a priori hypothesis, the nature of the trauma history emerged as the most important differentiator between three common FDS disorder subtypes. This subdifferentiation of FDS disorders may facilitate the development of more specific therapeutic programs for each patient profile.

Post-traumatic factors are involved in the evolution of the number of seizures in patients with PNES.

OBJECTIVE: The purpose of this prospective study was to identify predictive factors of the evolution of the number of seizures. METHODS: We included 85 individuals with a diagnosis of Psychogenic Nonepileptic Seizure (PNES) who completed at least two clinical interviews spaced by 6 months during a 24-month follow-up. Participants underwent a structured interview with an experimented clinician in PNES to complete standardized evaluation and validated scales. We collected sociodemographic and clinical data on PNES (number of seizures, duration of the disease), anxiety, depression, history of traumas, alexithymia, dissociation, and post-traumatic stress disorder (PTSD). We used a multivariate linear regression analysis to predict the characteristics independently associated with the evolution of the number of seizures in percentage. RESULTS: Dissociation score was significantly associated with a negative evolution of the number of seizures (p < 0.002). Conversely, the diagnosis of PTSD at inclusion was correlated to a positive evolution of the number of seizures (p < 0.029). CONCLUSION: Dissociation was related to a more pejorative evolution of the number of seizures while PTSD diagnosis was associated with a decreased number of seizures. It is therefore essential to improve detection and treatment of post-traumatic dissociation. Further studies are required to understand the impact of PTSD on the evolution of the number of seizures.

Explanatory factors of quality of life in psychogenic non-epileptic seizure.

OBJECTIVE: Previous studies showed that patients with Psychogenic Non-Epileptic Seizures (PNES) have poor quality of life (QoL). This study explored the explicative factors of the QoL at the time of diagnosis and monitored changes over the two years of follow-up. METHODS: We evaluated 107 participants with a diagnosis of Psychogenic Non-Epileptic Seizure (PNES), every 6 months for 24 months. Quality of life (QoL) was evaluated using the QOLIE-31 and SF-36 scales (respectively specific and generic scales of QoL). Positive evolution of QoL was defined by the increase in the score of overall QoL using QOLIE-31 sub-scale from baseline to the last interview of the patient. We also collected for each patient data on psychiatric dimensions (childhood abuse, history of traumatic events, post-traumatic stress disorder (PTSD), depression, anxiety, alexithymia, and dissociation), clinical evolution of seizures and the number of mental health consultations. RESULTS: According to the QOLIE-31 and the SF-36, depression (p ≤ 0.001), anxiety (p < 0.001), alexithymia (p ≤ 0.001), and dissociation (p ≤ 0.004) were related to QoL at the time of the diagnosis. According to SF-36 (mental and physical), PTSD was also significantly associated with QoL (p < 0.05). The number of seizures or the co-occurrence of epilepsy did not influence QoL. Positive evolution of QoL was linked to the number of consultations for mental health issues (p = 0.02). SIGNIFICANCE: Post-traumatic dimensions (PTSD, dissociation), alexithymia and psychiatric comorbidities (depression and anxiety disorders) seem to alter QoL in people with PNES. The current study suggests that mental health care improves QoL of patients with PNES.

Adherence to mental health care and caregiver-patient relationship after diagnosis of psychogenic non-epileptic seizures: Longitudinal follow-up study.

PURPOSE: This study aimed to describe the quality of adherence to mental health care follow-up and the mental health caregiver-patient relationship after diagnosis of psychogenic non-epileptic seizures (PNES). METHODS: We conducted an ancillary study of a multicenter prospective study. Patients (n = 108) received a standardized diagnostic explanation of PNES following video-EEG. They were referred to their community mental health centers or to a private psychiatrist/psychologist, who received written information about PNES and the study. Data collected about adherence to care (follow-up started or not, consensual and those who withdrew non-consensually, ongoing follow-up) were cross-tabulated from patients and care structures by telephone at 6, 12, 18 and 24 months after diagnosis. At M24, we collected reasons for stopping follow-up by phone using a predefined 9-item questionnaire. We also assessed the perception of the caregiver-patient relationship among patients who started follow-up and their mental health caregivers with a simple questionnaire based on five dimensions: feeling comfortable, continuity of care, content of therapy sessions, effectiveness of therapy sessions, and the patient's overall assessment of the follow-up. RESULTS: From M6 to M24, ongoing follow-up decreased from 64.8 to 25.8%, while the "not following initial recommandations" group of patients (those who never started follow-up and those who withdrew non-consensually) increased from 35.2 to 64.9%. We found two main reasons for stopping follow-up: lack of interest and feeling better. Adherent patients had an overall more positive view of their therapy than caregivers. CONCLUSION: Only a third of PNES patients adhered to a mental health care program and felt comfortable in the caregiver-patient relationship. Solutions need to be found to help patients understand the interest of follow-up therapy and help mental health caregivers improve their feeling of competence.

Short-term risk of relapse after a first unprovoked seizure in an adult population.

OBJECTIVE: To evaluate the incidence of short-term recurrence (<1 month) after a first unprovoked seizure (FUS) and the associated risk factors. METHODS: This is a prospective monocentric one-year observational study on all consecutive adult patients admitted to the Emergency Department (ED) and diagnosed as FUS. Patients underwent neurological consultation at one and three months after the FUS. Demographic information, clinical examination and seizure features, seizure recurrence at 1 and 3 months, electroencephalogram (EEG), brain imaging, precipitating factors, seizure type, and prescribed antiepileptic drugs (AED) were prospectively collected. RESULTS: Among 140 patients diagnosed as FUS, 109 patients attended the neurological consultation at 1 month. FUS diagnosis was confirmed in 80/109 cases. Nine patients (11.2%) had seizure recurrence before the consultation at 1 month. Identified specific risk factors of short-term recurrence were focal seizure (P=0.015) and abnormal EEG in the first 48hours (P=0.048). In the group of patients followed for three months (38 patients), the risk of seizure relapse was 15.7%. CONCLUSION: Most patients with FUS diagnosed in the ED did not present seizure recurrence within the first month, especially if no specific risk factors were present (focal seizure, abnormal EEG within first 48hours). The systematic use of prophylactic AED (benzodiazepines) is not recommended in the ED in the clinical setting of FUS. A specialized consultation within a one-month period is safe and adequate for FUS follow-up.

What is the relevance of quality of life assessment for patients with attention impairment?

BACKGROUND: Attention disturbances are frequently observed in multiple sclerosis (MS) patients. The aim of this study was to provide new evidence regarding the suitability of using self-reported QoL information in this impaired population by exploring the construct validity, reliability, and external validity of a MS-specific quality of life (QoL) instrument. DESIGN: cross-sectional study. INCLUSION CRITERIA: MS patients of any disease subtype. DATA COLLECTION: sociodemographic (age, gender, marital status, education level, and occupational activity) and clinical data (Expanded Disability Status Scale, disease duration); QoL (MusiQoL and SF36); and attention performance (Wechsler Memory Scale and PASAT). According to the French norms, non-impaired and impaired populations were defined. For each population, suitability indices were provided to quantify how the structures matched with the initial structure of the reference population assessed in the validation study. FINDINGS: One hundred and twenty-four consecutive patients were enrolled. The factor analysis performed in the impaired populations showed that the questionnaire structure adequately matched the initial structure of the MusiQoL. The unidimensionality of the dimensions was preserved, and the internal/external validity indices were close to those of the reference population. CONCLUSIONS: Our study suggests that attention impairment dysfunction did not compromise the reliability and validity of the self-reported QoL questionnaires.

Relevance of quality of life assessment for multiple sclerosis patients with memory impairment.

BACKGROUND: Memory disturbances, in particular episodic verbal memory dysfunction, are the most frequent cognitive impairment observed in multiple sclerosis (MS) patients. The use of self-reported outcomes for evaluating treatment and managing care of these subjects has been questioned. The aim of this study was to provide new evidence about the suitability of self-reported outcomes for use in this impaired population by exploring the internal structure, reliability and external validity of a specific quality of life (QoL) instrument, the Multiple Sclerosis International Quality of Life questionnaire (MusiQoL). DESIGN: cross-sectional study. INCLUSION CRITERIA: MS patients of any disease subtype. DATA COLLECTION: sociodemographic (age, gender, marital status, education level, and occupational activity) and clinical data (MS subtype, Expanded Disability Status Scale, disease duration); QoL (MusiQoL and SF36); and memory performance (Grober and Buschke test). In accordance with the French norms of the memory test, non-impaired and impaired populations were defined for short- and long-delay free composites and for short- and long-delay total composites. For the 8 populations, psychometric properties were compared to those reported from the reference population assessed in the validation study. PRINCIPAL FINDINGS: One hundred and twenty-four consecutive patients were enrolled. The analysis performed in the impaired populations showed that the questionnaire structure adequately matched the initial structure of the MusiQoL. The unidimensionality of the dimensions was preserved, and the internal/external validity indices were close to those of the reference population. CONCLUSIONS/SIGNIFICANCE: Our study suggests that memory dysfunction did not compromise the reliability or validity of the self-reported QoL questionnaires.

Is the concept of quality of life relevant for multiple sclerosis patients with cognitive impairment? Preliminary results of a cross-sectional study.

BACKGROUND: Cognitive impairment occurs in about 50% of multiple sclerosis (MS) patients, and the use of self-reported outcomes for evaluating treatment and managing care among subjects with cognitive dysfunction has been questioned. The aim of this study was to provide new evidence about the suitability of self-reported outcomes for use in this specific population by exploring the internal structure, reliability and external validity of a specific quality of life (QoL) instrument, the Multiple Sclerosis International Quality of Life questionnaire (MusiQoL). DESIGN: cross-sectional study. INCLUSION CRITERIA: MS patients of any disease subtype. DATA COLLECTION: sociodemographic (age, gender, marital status, education level, and occupational activity) and clinical data (MS subtype, Expanded Disability Status Scale, disease duration); QoL (MusiQoL and SF36); and neuropsychological performance (Stroop color-word test). STATISTICAL ANALYSIS: confirmatory factor analysis, item-dimension correlations, Cronbach's alpha coefficients, Rasch statistics, relationships between MusiQoL dimensions and other parameters. PRINCIPAL FINDINGS: One hundred and twenty-four consecutive patients were enrolled. QoL scores did not differ between the 69 cognitively non-impaired patients and the 55 cognitively impaired patients, except for the symptoms dimension. The confirmatory factor analysis performed among the impaired subjects showed that the structure of the questionnaire matched with the initial structure of the MusiQoL. The unidimensionality of the MusiQoL dimensions was preserved, and the internal validity indices were satisfactory and close to those of the reference population. CONCLUSIONS/SIGNIFICANCE: Our study suggests that executive dysfunction did not compromise the reliability and the validity of the self-reported QoL questionnaires.

Cognitive function and quality of life in multiple sclerosis patients: a cross-sectional study.

BACKGROUND: Nearly half of all patients diagnosed with multiple sclerosis (MS) will develop cognitive dysfunction. Studies highlighted from no/weak impact to a strong impact of cognitive impairment on quality of life (QoL). The aim of this study was to assess the impact of cognitive dysfunction on self-reported QoL in MS patients while considering key confounding factors. DESIGN: cross-sectional study. INCLUSION CRITERIA: MS patients of any disease subtype. DATA COLLECTION: sociodemographic (age, gender, marital status, education level, and occupational activity) and clinical data (MS subtype, disease duration); MS disability (Expanded Disability Status Scale, EDSS); depression (Beck Depression Inventory); fatigue (Modified Fatigue Impact Scale); QoL (SF36 and MusiQoL); and neuropsychological performance (Brief Repeatable Battery of Neuropsychological Tests, BRB-N). STATISTICAL ANALYSIS: multiple linear regressions (forward-stepwise selection). RESULTS: One hundred and twenty-four patients were enrolled. Performance on BRB-N subtests varied widely (6% to 70% abnormal). The BRB-N classified 37-78% of the patients as cognitively impaired, depending on the definition of cognitive impairment. No links were found between the MusiQoL index and cognitive subtests, whereas marital status, EDSS, and depression were found to be independent predictive factors. CONCLUSIONS: The present study demonstrated the weak and scarce association between cognitive impairment and QoL, when the key confounding factors were considered. These results need to be confirmed with larger samples and more accurate tests of cognitive function.