Frequency of epilepsy in patients with psychogenic seizures monitored by video-EEG

MRI findings in patients with psychogenic non-epileptic seizures: Prevalence, distribution, and classification of the findings. A single tertiary epilepsy center experience

OBJECTIVE

Psychogenic non-epileptic seizures (PNES) mimic epileptic seizures without electroencephalographic correlation. Although classified as psychiatric disorders, their neurobiological or structural basis remains unclear. This study aimed to assess the prevalence and characteristics of MRI abnormalities in patients with PNES and those with comorbid epilepsy, compared to the general population, to enhance radiological evaluation and management.

METHOD

We retrospectively identified patients with a definitive diagnosis of PNES, evaluated in the refractory epilepsy unit of our tertiary epilepsy center. Patients were classified into two groups according to their comorbidity with epilepsy (PNES and PNES+). The MRI findings were evaluated and classified by two radiologists, who reported the category of the findings, laterality, and location. The two groups were compared using the chi-square test, as well as the frequencies of findings in the general population extracted from the literature.

RESULTS

Forty-six patients fulfilled the inclusion criteria. Thirty females and 16 males. MRI findings were present in 25/35 (71.4%) patients in the PNES group and 9/11 (81.8%) In the PNES + group, showing statistically significant differences in the frequency of findings with the general population (8.4-28.1%).

SIGNIFICANCE

MRI anomalies are common in PNES patients and even more prevalent in complex cases referred to epilepsy units, underscoring the necessity of correlating MRI findings with clinical-electrical patterns.

PLAIN LANGUAGE SUMMARY

In this article, we observed a higher frequency of cerebral magnetic resonance findings in patients with psychogenic non-epileptic seizures than in the general population. We also observed a higher frequency of this pathology among women, as well as right cerebral hemisphere affections. The exposed findings suggest a potential structural basis of this pathology. This hypothesis requires confirmation with larger studies.

Functional seizure semiology and classification in a public and private hospital

PURPOSE

Our understanding of potential differences in seizure semiology among patients with functional seizures (FS), also known as psychogenic non-epileptic seizures (PNES), across socioeconomic contexts is currently limited. By examining the differences in seizure manifestations between different socioeconomic groups, we aim to enhance the understanding of how socioeconomic factors may influence FS presentation. This study aimed to describe FS semiology in patients from a private and public epilepsy monitoring units (EMUs) in Cape Town, South Africa.

METHODS

The study included patients with FS confirmed through video-electroencephalography (video-EEG) and without comorbid epilepsy. For this retrospective case-control study, data on seizure semiology was gathered from digital patient records, beginning with the earliest available record for each hospital.

RESULTS

A total of 305 patients from a private hospital and 67 patients from a public hospital were eligible for the study (N = 372). The private hospital tended to report more akinetic and subjective seizure types when compared to the public hospital. Additionally, patients at the public hospital had higher odds of reporting emotional seizure triggers (aOR=2.57, 95% CI [1.03, 6.37]), loss of consciousness or awareness (aOR=2.58, 95% CI [1.07, 6.24]), and rapid post-event recovery (aOR=6.01, 95% CI [2.52, 14.34]). At the same time, they were less likely to report both short (<30 s) (aOR=0.21, 95% CI [0.08, 0.55]) and long (>5 min) seizures (aOR=0.73, 95% CI [0.13, 0.56]), amnesia for the event (aOR=0.19, 95% CI [0.09, 0.43]), ictal aphasia (aOR=0.33, 95% CI [0.14, 0.76]) or falls and drop attacks (aOR=0.43, 95% CI [0.18, 0.996]), when compared to the private hospital patients.

CONCLUSION

While the seizure manifestations were largely consistent across the two socioeconomic cohorts of patients with FS, some subtle differences were observed and warrant further investigation.

The Most Frequent Psychiatric Comorbidities in Bulgarian Patients With Epilepsy: Their Connection With the Main Clinical Characteristics and Quality of Life

AIM

 The objective of this study is to determine and compare the relationship of the most common psychiatric comorbidities in Bulgarian patients with epilepsy with the main clinical characteristics, as well as to evaluate their impact on certain aspects of the quality of life.

CLINICAL RATIONALE

 Psychiatric comorbidities occur in about one-third of people with epilepsy throughout their lifetime, and their incidence is much greater in high-risk groups such as patients with treatment-resistant epilepsy.

MATERIAL AND METHODS

 The study group consisted of 129 participants, of whom 104 were divided into four groups according to the presence of one of the most frequently diagnosed psychiatric comorbidities in our patients with epilepsy: personality and behavioral disorder (PBD) (n=25), mild to moderate depressive disorder (n=26), anxiety disorder (n=32), and dissociative and conversion disorders (n=21). A control group was also formed with a similar number of participants with epilepsy (n=25) without psychiatric comorbidity. Some sociodemographic and clinical characteristics of epilepsy were analyzed in all patients. All patients filled out two questionnaires: the Bulgarian version of quality of life in epilepsy - 89 (QOLIE-89) and the Bulgarian version of SIDAED (assessing SIDe effects in antiepileptic drugs (AED) treatment).

RESULTS

 The analysis revealed a negative influence of psychiatric comorbidity on the presence of epileptic seizures, unwanted drug effects, and lower scores for all aspects of the quality of life of patients with epilepsy.

CONCLUSION AND CLINICAL IMPLICATIONS

 The main conclusion of our study is the presence of an interaction between psychiatric comorbidity, the clinical course of the disease, and the deteriorated quality of life (QOL) in patients with epilepsy. Further attention, comprehensive care, and targeted research are needed to analyze individual psychiatric comorbidities in patients with epilepsy for early detection and treatment.

Very high epilepsy prevalence in rural Southern Rwanda: The underestimated burden of epilepsy in sub-Saharan Africa

OBJECTIVES

Up to 85% of people living with epilepsy (PwE) reside in low-and middle-income countries. In sub-Saharan Africa, the lifetime prevalence of epilepsy is 16 per 1000 persons. In Northern rural Rwanda, a 47.7 per 1000 prevalence has been reported. As variations in prevalence across geographical areas have been observed, we studied the prevalence in Southern rural Rwanda using the same robust methodology as applied in the North.

METHODS

We conducted a three-stage, cross-sectional, door-to-door survey in two rural villages in Southern Rwanda from June 2022 to April 2023. First, trained enumerators administered the validated Limoges questionnaire for epilepsy screening. Second, neurologists examined the persons who had screened positively to confirm the epilepsy diagnosis. Third, cases with an inconclusive assessment were separately reexamined by two neurologists to reevaluate the diagnosis.

RESULTS

Enumerators screened 1745 persons (54.4% female, mean age: 24 ± 19.3 years), of whom 304 (17.4%) screened positive. Epilepsy diagnosis was confirmed in 133 (52.6% female, mean age: 30 ± 18.2 years) and active epilepsy in 130 persons. Lifetime epilepsy prevalence was 76.2 per 1000 (95% CI: 64.2-89.7‰). The highest age-specific rate occurred in the 29-49 age group. No gender-specific differences were noted. In 22.6% of the PwE, only non-convulsive seizures occurred. The treatment gap was 92.2%, including a diagnosis gap of 79.4%.

CONCLUSION

We demonstrated a very high epilepsy prevalence in Southern rural Rwanda, with over 20% of cases having only non-convulsive seizures, which are often underdiagnosed in rural Africa. In line with previous Rwandan reports, we reiterate the high burden of the disease in the country. Geographic variation in prevalence throughout Africa may result from differences in risk and aetiological factors. Case-control studies are underway to understand such differences and propose adapted health policies for epilepsy prevention.

The role of creatine kinase in distinguishing generalized tonic-clonic seizures from psychogenic non-epileptic seizures (PNES) and syncope: a retrospective study and meta-analysis of 1300 patients

BACKGROUND/AIM

As the clinical differentiation between epileptic seizures, psychogenic non-epileptic seizures (PNES), and syncope depends mainly on a detailed report of the event, which may not be available, an objective assessment of a potential biochemical analysis is needed. We aimed to investigate whether serum creatine kinase (CK) could be used to differentiate epileptic seizure from PNES and syncope and to assess the strength of evidence present.

METHODS

We directed a retrospective cohort study coupled with a systematic review and meta-analysis of studies that measured CK in patients with epilepsy, PNES, syncope, and healthy controls.

RESULTS

The cohort study, which traced 202 patients, showed that the CK level was significantly higher 48 h after the event in the epilepsy group versus patients with syncope (p < 0.01) Along with 1086 patients obtained through a database search for meta-analysis, CK level compared to different types of seizures from PNES was higher in epileptic seizure patients with a mean difference of 568.966 mIU/ml (95% CI 166.864, 971.067). The subgroup analysis of CK showed that it was higher in GTCS compared to syncope with a mean difference of 125.39 mIU/ml (95% CI 45.25, 205.52).

DISCUSSION

Increased serum levels of CK have been associated mainly with epileptic seizures in relation to non-epileptic events. However, further studies would try to explore the variation in measurements and any other potential diagnostic marker.

CONCLUSION

The cohort study shows that the CK level in epilepsy seizures is higher after 48 h from the event compared to syncope. Moreover, the meta-analysis results show the present diagnostic utility of CK and its importance to be used in accordance with a detailed report of the event.

Overall comorbidities in functional neurological disorder: A narrative review

INTRODUCTION

The importance to assess and include the frequent comorbidities in the personalised care management plan of patients with functional neurological disorders (FND) has arisen through the years. FND patients are not only complaining from motor and/or sensory symptoms. They also report some non-specific symptoms that participate to the burden of FND. In this narrative review, we aim to better describe these comorbidities in terms of prevalence, clinical characteristics and their variability depending on the subtype of FND.

METHODS

The literature was searched for on Medline and PubMed. The search was narrowed to articles between 2000 and 2022.

RESULTS

Fatigue is the most common symptom reported in relation to FND (from 47 to 93%), followed by cognitive symptoms (from 80 to 85%). Psychiatric disorders are reported in 40 to 100% FND patients, depending on the FND subtype (functional motor disorder [FMD], functional dissociative seizures [FDS]…) but also on the type of psychiatric disorder (anxiety disorders being the most frequent, followed by mood disorders and neurodevelopmental disorders). Stress factors such as childhood trauma exposure (emotional neglect and physical abuse predominantly) have also been identified in up to 75% of FND patients, along with maladaptive coping strategies. Organic disorders are commonly reported in FND, such as neurological disorders (including epilepsy in FDS [20%] and FMD in Parkinson's Disease [7%]). Somatic symptom disorders including chronic pain syndromes are frequently associated to FND (about 50%). To be noted, recent data also suggest a high comorbidity between FND and hypermobile Ehlers Danlos Syndrome (about 55%).

CONCLUSION

Put together, this narrative review highlights the high burden of FND patients, not only due to somatosensory alterations but also by considering the frequent comorbidities reported. Thus, such comorbidities must be taken into consideration when defining the FND personalised care management strategy for the patients.

Functional Neurological Disorders: Clinical Spectrum, Diagnosis, and Treatment

BACKGROUND

Functional neurological disorders (FNDs) are common but often misdiagnosed.

REVIEW SUMMARY

The incidence of FNDs is between 4 and 12 per 100,000, comparable to multiple sclerosis and amyotrophic lateral sclerosis, and it is the second most common diagnosis in neurology clinics. Some clues in the history are sudden onset, intermittent time course, variability of manifestation over time, childhood trauma, and history of other somatic symptoms. Anxiety and depression are common, but not necessarily more than in the general population. Although there are no tests currently capable of demonstrating whether symptoms are willfully produced, there may not be a clear categorical difference between voluntary and involuntary symptoms. The prognosis of an FND is linked to early diagnosis and symptom duration, but unfortunately, the majority of the patients are diagnosed after considerable delays.

CONCLUSIONS

A positive diagnosis of FNDs can be made on the basis of history and neurological signs without reliance on psychological stressors. Past sensitizing events and neurobiological abnormalities contribute to the pathogenesis of FNDs. Physical rehabilitation and psychological interventions alone or in combination are helpful in the treatment.

A series of 8 cases of sleep-related psychogenic dissociative disorders and proposed updated diagnostic criteria

STUDY OBJECTIVES

To identify the most relevant clinical and video-polysomnographic characteristics of patients with sleep-related dissociative disorders (SRDDs) and to propose a framework for new diagnostic criteria.

METHODS

We searched potential SRDD cases from the scientific literature and from a database of patients referred for clinical and video-polysomnographic assessment in a single sleep disorders center for disruptive nocturnal behaviors (n = 731). The most relevant clinical and neurophysiological characteristics of the cases were extracted and a descriptive analysis was performed.

RESULTS

Twenty-six SRDD cases (8 new and 18 previously published cases) were reviewed. Almost all cases of SRDDs occurred in a context of past traumatic events or abuse and were associated with at least 1 comorbid psychiatric disorder. We highlighted 4 relevant clinical characteristics of SRDD useful for the differential diagnosis with parasomnias: episodes of long duration of more than 1 hour (90.9%), self-inflicted injuries (83.3%), occurrence while awake close to bedtime (35.7%), and the presence of daytime dissociative symptoms (72.7%). The video-polysomnography documented typical episodes of SRDD with prolonged wakefulness before, during, and after the event in 11/26 cases. New diagnostic criteria for SRDD were proposed, with 3 levels of certainty for the diagnosis based on clinical, video-polysomnographic, and homemade video findings.

CONCLUSIONS

More than 30 years after its formal identification, SRDD is not currently recognized as an official diagnostic entity. We better delineate the clinical and neurophysiological features of SRDD and propose a framework for its reinstatement in the next revisions of the sleep and psychiatric disorders classifications.

CITATION

Lopez R, Lefevre L, Barateau L, Micoulaud-Franchi J-A, Dauvilliers Y, Schenck CH. A series of 8 cases of sleep-related psychogenic dissociative disorders and proposed updated diagnostic criteria. J Clin Sleep Med. 2022;18(2):563-573.

Peri-Ictal Changes in Depression and Anxiety in Persons With Epileptic and Non-epileptic Seizures

OBJECTIVE

We tested the hypothesis that epileptic, but not non-epileptic, seizures would produce an improvement in comorbid depression and anxiety symptoms in the peri-ictal period, much like the antidepressant effects of electroconvulsive therapy.

METHODS

We examined depression and anxiety symptoms in patients admitted to an inpatient unit for continuous video electroencephalography as part of routine clinical care. Patients completed three questionnaires that included the Beck Depression Inventory-II (BDI), Montgomery Asberg Depression Rating Scale (MADRS), and Beck Anxiety Inventory (BAI) after admission, in the 24 h following a seizure, then again 2 weeks after the last seizure.

RESULTS

In patients with epilepsy, depression and anxiety scores improved in the 24 hrs following a seizure (change in BDI = 24%; change in MADRS = 19%; change in BAI = 21%) but returned toward baseline after 2 weeks. In patients with non-epileptic seizures, depression and anxiety scores also improved in the 24 hrs following a psychogenic non-epileptic seizure (change in BDI = 17%, change in MADRS = 27%, change in BAI = 36%). There was a greater improvement in depression and anxiety scores in patients with focal-onset epilepsy (BDI = 30%, MADRS = 22%, BAI = 30%) compared to generalized seizure onset (BDI = 6%, MADRS = 12%, BAI = 8%).

CONCLUSION

We conclude that single seizures can result in transient improvements in mood. Because seizures need not be generalized or epileptic to exert this effect, the underlying mechanisms are uncertain.

The evaluation of psychogenic non-epileptic seizures (PNES) cases with saline injection method in video-EEG monitorization unit

BACKGROUND

It has been reported that 10 to 30% of patients sent to epilepsy centers with a diagnosis of refractory epilepsy are diagnosed with psychogenic non-epileptic seizure (PNES). A wide variety of provocative methods are used to assist PNES diagnosis.

OBJECTIVE

To investigate the effect of seizure induction on the diagnosis and prognosis of PNES.

METHODS

We retrospectively examined 91 patients with PNES complaints in our video-EEG laboratory. Intravenous saline was administered to all patients for induction of seizures.

RESULTS

Saline injection was performed in 91 patients referred to our EEG lab with PNES initial diagnosis, 57 of whom were female and 34 male. Saline injection triggered an attack in 82 patients (90%).

CONCLUSIONS

In this study we have concluded that provocative methods are practical, cheap and, most of all, effective for patient diagnosis. In clinical practice, explaining the diagnosis is the first and most important step of the treatment, and careful patient-doctor communication has a positive impact on patient prognosis.

Predictive semiology of psychogenic non-epileptic seizures in an epilepsy monitoring unit

Introduction

The diagnosis of psychogenic nonepileptic seizures (PNES) is a common clinical dilemma. We sought to assess the diagnostic value of four ictal signs commonly used in differentiating PNES from epileptic seizures (ES).

Methods

We retrospectively reviewed consecutive adult video-electroencephalogram (VEM) studies conducted at a single tertiary epilepsy center between May 2009 and August 2016. Each event was assessed by a blinded rater for the presence of four signs: fluctuating course, head shaking, hip thrusting, and back arching. The final diagnosis of PNES or ES was established for each event based on clinical and VEM characteristics. All ES were pooled regardless of focal or generalized onset. We analyzed the odds ratio of each sign in PNES in comparison to ES with adjustment for repeated measures using logistic regression. Additionally, we calculated the sensitivity, specificity, predictive values, and likelihood ratios of each sign to diagnose PNES.

Results

A total of 742 events from 140 VEM studies were assessed. Fluctuating course (odds ratio (OR) 37.37, 95% confidence interval (CI) 13.56–102.96, P < 0.0001), head shaking (OR 2.95, 95% CI 1.26–6.79, P = 0.012), and hip thrusting (OR 4.28, 95% CI 1.21–15.18, P = 0.02) were each significantly predictive of PNES. Fluctuating course had the highest sensitivity (76.16%). Back arching (OR 1.06, 95% CI 0.35–3.20, P = 0.92) was not significantly associated with PNES.

Conclusion

Fluctuating course, head shaking, and hip thrusting are semiological features significantly more common in PNES than ES. Fluctuating course is the most reliable sign. Back arching does not appear to differentiate PNES from ES.

Psychogenic non-epileptic seizures in children

Psychogenic Non-Epileptic Seizures (PNES) are a relatively common condition in children. While their clinical presentation resembles epileptic seizures, the underlying cause for PNES involves a multitude of bio-psychosocial factors. Patients may be misdiagnosed with epilepsy and subjected to unnecessary treatments, often delaying the diagnosis for years. A strong understanding of its symptomatology is essential for diagnosis of PNES. Successful management depends on effective teamwork that involves the neurologist as well as mental health professionals. This paper reviews the various aspects of PNES in children with emphasis on the clinical presentation, diagnosis as well as the underlying psychological basis and treatment.

Incidence and prevalence of psychogenic nonepileptic seizures (functional seizures): a systematic review and an analytical study

AIM

Psychogenic nonepileptic seizures (PNES) or functional seizures are universal phenomena. However, data on their epidemiology is limited. The aim of the current study was to review the literature on the epidemiology of PNES and to provide analytical estimates of its incidence and prevalence based on the direct data that are available from previous studies on PNES.

METHODS

The methods of this work had two parts: (1) MEDLINE, PsycINFO, and Scopus from inception to 19 October 2019 were systematically searched. (2) The analytical study of the incidence and prevalence of PNES was performed, based on the following data from previous studies: incidence of PNES, duration of PNES before making a diagnosis, outcome and mortality of PNES.

RESULTS

The search strategy yielded five articles; three were on the incidence and two on the prevalence. In the analytical part of the study, the incidence of PNES was calculated to be 3.1 (95% Confidence Interval: 1.1-5.1) per 100,000 population per year. The calculated prevalence rate of PNES in 2019 was 108.5 (95% Confidence Interval: 39.2-177.8) per 100,000 population, in the USA.

CONCLUSION

While, the generalizability of these calculated incidence and prevalence rates to other places in the world is limited, they give us a reasonable hint that PNES is a common condition and the prevalence is much more than that it was thought before.Supplemental data for this article is available online at https://doi.org/10.1080/00207454.2021.1942870.

Myths and truths about pediatric psychogenic nonepileptic seizures

Psychogenic nonepileptic seizures (PNES) is a neuropsychiatric condition that causes a transient alteration of consciousness and loss of self-control. PNES, which occur in vulnerable individuals who often have experienced trauma and are precipitated by overwhelming circumstances, are a body's expression of a distressed mind, a cry for help. PNES are misunderstood, mistreated, under-recognized, and underdiagnosed. The mindbody dichotomy, an artificial divide between physical and mental health and brain disorders into neurology and psychiatry, contributes to undue delays in the diagnosis and treatment of PNES. One of the major barriers in the effective diagnosis and treatment of PNES is the dissonance caused by different illness perceptions between patients and providers. While patients are bewildered by their experiences of disabling attacks beyond their control or comprehension, providers consider PNES trivial because they are not epileptic seizures and are caused by psychological stress. The belief that patients with PNES are feigning or controlling their symptoms leads to negative attitudes of healthcare providers, which in turn lead to a failure to provide the support and respect that patients with PNES so desperately need and deserve. A biopsychosocial perspective and better understanding of the neurobiology of PNES may help bridge this great divide between brain and behavior and improve our interaction with patients, thereby improving prognosis. Knowledge of dysregulated stress hormones, autonomic nervous system dysfunction, and altered brain connectivity in PNES will better prepare providers to communicate with patients how intangible emotional stressors could cause tangible involuntary movements and altered awareness.

Functional motor disorders associated with other neurological diseases: Beyond the boundaries of "organic" neurology

BACKGROUND AND PURPOSE

The aims of this study were to describe the clinical manifestations of functional motor disorders (FMDs) coexisting with other neurological diseases ("comorbid FMDs"), and to compare comorbid FMDs with FMDs not overlapping with other neurological diseases ("pure FMDs").

METHODS

For this multicenter observational study, we enrolled outpatients with a definite FMD diagnosis attending 25 tertiary movement disorder centers in Italy. Each patient with FMDs underwent a detailed clinical assessment including screening for other associated neurological conditions. Group comparisons (comorbid FMDs vs. pure FMDs) were performed in order to compare demographic and clinical variables. Logistic regression models were created to estimate the adjusted odds ratios (95% confidence intervals) of comorbid FMDs (dependent variable) in relation to sociodemographic and clinical characteristics (independent variables).

RESULTS

Out of 410 FMDs, 21.7% of patients (n = 89) had comorbid FMDs. The most frequent coexisting neurological diseases were migraine, cerebrovascular disease and parkinsonism. In the majority of cases (86.5%), FMDs appeared after the diagnosis of a neurological disease. Patients with comorbid FMDs were older, and more frequently had tremor, non-neurological comorbidities, paroxysmal non-epileptic seizures, major depressive disorders, and benzodiazepine intake. Multivariate regression analysis showed that diagnosis of comorbid FMDs was more likely associated with longer time lag until the final diagnosis of FMD, presence of tremor and non-neurological comorbidities.

CONCLUSIONS

Our findings highlight the need for prompt diagnosis of FMDs, given the relatively high frequency of associated neurological and non-neurological diseases.

Psychogenic Nonepileptic Seizures in Patients With Epilepsy: A Comparative Study With Patients With Pure Epilepsy

ABSTRACT

Psychogenic nonepileptic seizures (PNES) represent management challenges, especially if associated with epilepsy. We aimed to evaluate patients with mixed epilepsy (true and PNES) and compare them with pure epilepsy to identify predictors of psychogenic seizures. This study included 40 patients with pure epilepsy and 40 patients with mixed epilepsy matched in age and sex. Patients underwent neurological assessment, semistructured psychiatric clinical interview, and video electroencephalogram monitoring. We found that unemployment, divorce, and seizure frequency were higher in mixed epilepsy, as well as history of family dysfunction, child adversity, and depressive and dissociative disorders. Both groups were similar regarding family history for seizures and personality dysfunction scores. Family dysfunction, child adversity, and depressive disorders were predictors of PNES. We recommend early evaluation for social instability, family dysfunction, child adversity, and depressive disorders in epileptic patients with higher seizure frequency to avoid misdiagnosis of false drug-resistant epilepsy and enhance proper management.

Clinical differentiation of psychogenic non-epileptic seizure: a practical diagnostic approach

Background

Psychogenic non-epileptic seizure (PNES) has long been the counterpart of epileptic seizure (ES). Despite ample of evidence differentiating the two, PNES mistakenly diagnosed as ES was still common, resulting in unnecessary exposure to long-term antiepileptic medications and reduced patient’s and caregiver’s quality of life, not to mention the burgeoning financial costs.

Objectives

In this review, we aimed to elucidate various differences between PNES and epileptic seizure with respect to baseline characteristics, seizure semiology, EEG pattern, and other key hallmark features.

Methods

An unstructured search was carried out in PubMed, MEDLINE, and EMBASE using keywords pertinent to PNES and ES differentiation. Relevant information was subsequently summarized herein.

Results

PNES differs significantly with ES in terms of baseline characteristics, prodromal symptoms, seizure semiology, presence of pseudosleep, and other hallmark features (for instance provoking seizure with suggestion). The combined approach, if applied appropriately, can yield high diagnostic yield.

Conclusions

PNES can be clearly differentiated from ES via careful adherence to a set of valid clinical cues. The summarized clinical hallmarks is highly useful to prevent unnecessary ES diagnosis and treatment with AEDs.

Clinical identification of psychogenic nonepileptic events using combinations of psychological tests in a veteran sample

OBJECTIVE

Patients with psychogenic nonepileptic events (PNEE) exhibit heterogenous symptoms and are best diagnosed with long-term video-electroencephalogram (vEEG) data. While extensive univariate data suggest psychological tests may confirm the etiology of PNEE, the multivariate discriminant utility of psychological tests is less clear. The current study aggregated likelihood ratios of multiple psychological tests to evaluate incremental and discriminant utility for PNEE.

METHODS

Veterans with vEEG-diagnosed PNEE (n = 166) or epileptic seizures (n = 92) completed self-report measures and brief neuropsychological evaluations during the 4-day vEEG hospitalization. Receiver operating characteristic (ROC) curves identified discriminating psychological tests and corresponding cut-scores (0.85 minimum specificity). Likelihood ratios from the remaining cut-scores were sequentially linked using the sample base rate of PNEE (64%) and alternative base rates (10%, 20%, 30%, 40%) to estimate posttest probabilities (PTP) of test combinations.

RESULTS

The Health Attitudes Survey, Health History Checklist, and Minnesota Multiphasic Personality Inventory-2-Restructured Form scales FBS-r, RC1, MLS, and NUC were identified as discriminating indicators of PNEE. Average PTPs were ≥90% when three or more indicators out of six administered were present at the sample base rate. Regardless of PNEE base rate, PTP for PNEE was ≥98% when all discriminating indicators were present and 92-99% when five of six indicators administered were present. PTPs were largely consistent with observed positive predictive values, particularly as indicators present increased.

SIGNIFICANCE

Aggregating psychological tests identified PNEE with a high degree of accuracy, regardless of PNEE base rate. Combining psychological tests may be useful for confirming the etiology of PNEE.

Differentiation of psychogenic nonepileptic attacks from status epilepticus among patients intubated for convulsive activity

BACKGROUND AND OBJECTIVE

Patients with psychogenic nonepileptic attacks (PNEA) sometimes receive aggressive treatment leading to intubation. This study aimed to identify patient characteristics that can help differentiate PNEA from status epilepticus (SE).

METHODS

We retrospectively identified patients with a final diagnosis of PNEA or SE, who were intubated for emergent convulsive symptoms and underwent continuous electroencephalography (cEEG) between 2012 and 2017. Patients who had acute brain injury or progressive brain disease as the cause of SE were excluded. We compared clinical features and laboratory values between the two groups, and identified risk factors for PNEA-related convulsive activity.

RESULTS

Over a six-year period, 24 of 148 consecutive patients (16%) intubated for convulsive activity had a final diagnosis of PNEA rather than SE. Compared to patients intubated for SE, intubated PNEA patients more likely were <50 years of age, female, white, had a history of a psychiatric disorder, had no history of an intracranial abnormality, and had a maximum systolic blood pressure <140 mm Hg (all P < 0.001). Patients with 0-2 of these six risk factors had a 0% (0/88) likelihood of having PNEA, those with 3-4 had a 15% (6/39) chance of having PNEA, and those with 5-6 had an 86% (18/21) chance of having PNEA. Sensitivity for PNEA among those with 5-6 risk factors was 75% (95% CI: 53-89%) and specificity was 98% (95% CI: 93-99%).

CONCLUSIONS

In the absence of a clear precipitating brain injury, approximately one in six patients intubated for emergent convulsive symptoms had PNEA rather than SE. Although PNEA cannot be diagnosed only by the presence of these risk factors, these simple characteristics could raise clinical suspicion for PNEA in the appropriate setting. Urgent neurological consultation may prevent unnecessary intubation of this at-risk patient population.

Suggestive seizure induction for inpatients with suspected psychogenic nonepileptic seizures

OBJECTIVE

To determine the utility of suggestive seizure induction for inpatient work-up of suspected psychogenic nonepileptic seizures (PNES).

METHODS

Prospective study of epilepsy center inpatient admissions with suspected PNES. Patients were randomized to undergo suggestive induction first (group A) and then, if necessary, long-term video-electroencephalography (EEG) monitoring, or vice versa (group B). Diagnostic pathways were compared. Potential clinical predictors for diagnostic success were evaluated.

RESULTS

Length of in-hospital stay did not significantly differ between groups. Suspicion of PNES was confirmed in 43 of 77 (56%) patients, evenly distributed between group A (22 of 39) and group B (21 of 38). In nine patients, recorded habitual seizures were epileptic and in 25 cases, no diagnostic event could be recorded. Diagnosis of PNES was ascertained primarily by recording a typical seizure through suggestive induction in 24 patients and through long-term monitoring in 19 patients. In group A (induction first), monitoring was not deemed necessary in 21% of cases. In group B (monitoring first), 13% would have remained inconclusive without suggestive induction. Patients who reported triggers to their habitual seizures were not more likely to have spontaneous or provoked PNES during monitoring or suggestive inducion, respectively. Patients with subjective seizure prodromes (auras) were significantly more likely to have a PNES during suggestive induction than those without (odds ratio [OR] 3.4, 95% confidence interval [CI] 1.1-10.4). There was no significant difference in seizure frequency between patients with spontaneous PNES during long-term monitoring and those with nondiagnostic monitoring sessions.

SIGNIFICANCE

Our results support the notion that suggestive seizure induction can reduce the number of inconclusive inpatient workups, and can obviate resource-intensive long-term monitoring in one fifth of cases. Patients who are aware of prodromes might have a higher chance of having seizures induced through suggestion.

[The problem of comorbidity of epilepsy and psychogenic paroxysms]

A review of publications over the last two decades is presented. Psychogenic paroxysms develop in approximately 12% of patients with epilepsy. The analysis of social and demographic data, history details, semiological features and results of electrophysiological and neuroimaging studies does not unequivocally support the comorbidity of epilepsy and psychogenic paroxysms. The pathogenetic mechanisms of the development of comorbidity are various and depend on the presence of pharmacoresistance, psychological traumas in the past, intellectual disability etc. Video-EEG-monitoring is the gold standard in the diagnosis of comorbidity of epilepsy and psychogenic paroxysms. Treatment of such cases includes anticonvulsants and cognitive-behavioral therapy.

Outcome of CBT-based multimodal psychotherapy in patients with psychogenic nonepileptic seizures: A prospective naturalistic study

PURPOSE

Psychotherapy is recommended in patients with psychogenic nonepileptic seizures (PNES). To date, however, a limited number of studies have attempted to assess the long-term effectiveness of psychotherapy in patients with PNES. Here, we report the short and six-month follow-up seizure and psychopathological outcomes in patients with PNES who have undergone a combination of cognitive-behavioral individual and group therapy.

METHODS

In this prospective, naturalistic study, 80 patients with PNES underwent cognitive behavioral psychotherapy in an inpatient setting (mean duration: 64.5 days) and were evaluated prior to treatment (T1) and at its end (T2). Six months after treatment, 55 patients participated in the follow-up assessment (T3). Psychopathology questionnaires and PNES ratings were used at T1, T2, and T3 to determine outcomes.

RESULTS

At T2, 23% of the patients were free from PNES for ≥2 weeks. At T3, 21.8% were seizure-free for ≥1 month and 10.9% for ≥3 months. Only two patients who were free from PNES at T2 remained free from PNES until T3. Ten further patients achieved seizure freedom during the follow-up period and were free from seizures for ≥1 month at T3. Nevertheless, a subjective improvement of the seizure situation was reported by 74.1% of the patients. Patients' psychopathology scores decreased from T1 to T2 and remained stable after discharge (except for a slight increase of depression score from T2 to T3). Those patients who were PNES-free at T3 had less severe psychopathology, experienced less traumatic events, and PNES were prolonged prior to treatment than those who did not become seizure-free.

SIGNIFICANCE

Inpatient psychotherapy led to PNES freedom in a minority of patients. Pretreatment psychopathology was the key factor affecting six-month follow-up seizure outcomes. Expectations should be formed in accordance with these perspectives, i.e., seizure freedom is difficult to achieve in many patients, but psychotherapy may be useful to treat underlying psychopathology. As our results stem from a specific patient sample (i.e., patients with chronic and refractory PNES) treated in a very specific setting, the generalizability of our findings is limited.

Psychogenic nonepileptic seizures in adults with epilepsy: a tertiary hospital-based study

Objectives: Many studies describe and characterize psychogenic nonepileptic seizures (PNES) in high-income but few come from low/middle and low income countries.Design/methods: We aimed to determine the prevalence of PNES coexisted in adults with epilepsy and to characterize their semiology, comorbidities and predictors whether presented with epilepsy (n = 563) or alone (n = 73). Patients were recruited from a tertiary referral epilepsy clinic. Clinical suspicion and diagnosis were done by the neurologist based on histories and clinical cues. Psychiatric evaluation included structured psychiatric interviewing and assessment of symptoms of depression, anxiety and stress using Depression Anxiety Stress Scale (DASS 21).Results: The prevalence of PNES with epilepsy was 4.97% and diagnosed after a mean interval of 7.12yrs from onset of the first attack. Patients with PNES were predominantly females in their 2nd-3rd decades. Semiology of PNES included loss of consciousness, drop attacks, involuntary movements and speech arrest. Compared to patients with PNES coexisted with epilepsy, those with PNES alone were younger at presentation (p = 0.01) and age at onset (p = 0.002) and had frequent attacks (p = 0.001), psychosocial stressors and comorbid medical illnesses (p = 0.0001) and higher scores of depression, anxiety (p = 0.01) and stress (p = 0.001). In multivariate analysis, the significant predictors of high DASS scores with PNES were psychosocial stressors and comorbid medical conditions.Conclusions: The prevalence of PNES among adults with epilepsy is ∼5%. They are frequently misdiagnosed and treated as epilepsy. Specialist neurologists are more comfortable to diagnose patients with PNES. The multidisciplinary neurology and psychiatric assessments will help in the patient's therapeutic plan.

A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects

The diagnosis of psychogenic nonepileptic seizures (PNES) by means of electroencephalography (EEG) is not a trivial task during clinical practice for neurologists. No clear PNES electrophysiological biomarker has yet been found, and the only tool available for diagnosis is video EEG monitoring with recording of a typical episode and clinical history of the subject. In this paper, a data-driven machine learning (ML) pipeline for classifying EEG segments (i.e., epochs) of PNES and healthy controls (CNT) is introduced. This software pipeline consists of a semiautomatic signal processing technique and a supervised ML classifier to aid clinical discriminative diagnosis of PNES by means of an EEG time series. In our ML pipeline, statistical features like the mean, standard deviation, kurtosis, and skewness are extracted in a power spectral density (PSD) map split up in five conventional EEG rhythms (delta, theta, alpha, beta, and the whole band, i.e., 1-32 Hz). Then, the feature vector is fed into three different supervised ML algorithms, namely, the support vector machine (SVM), linear discriminant analysis (LDA), and Bayesian network (BN), to perform EEG segment classification tasks for CNT vs. PNES. The performance of the pipeline algorithm was evaluated on a dataset of 20 EEG signals (10 PNES and 10 CNT) that was recorded in eyes-closed resting condition at the Regional Epilepsy Centre, Great Metropolitan Hospital of Reggio Calabria, University of Catanzaro, Italy. The experimental results showed that PNES vs. CNT discrimination tasks performed via the ML algorithm and validated with random split (RS) achieved an average accuracy of 0.97 ± 0.013 (RS-SVM), 0.99 ± 0.02 (RS-LDA), and 0.82 ± 0.109 (RS-BN). Meanwhile, with leave-one-out (LOO) validation, an average accuracy of 0.98 ± 0.0233 (LOO-SVM), 0.98 ± 0.124 (LOO-LDA), and 0.81 ± 0.109 (LOO-BN) was achieved. Our findings showed that BN was outperformed by SVM and LDA. The promising results of the proposed software pipeline suggest that it may be a valuable tool to support existing clinical diagnosis.

Intubation for Psychogenic Non-Epileptic Attacks: Frequency, Risk Factors, and Impact on Outcome

PURPOSE

Patients with psychogenic non-epileptic attacks (PNEA) sometimes receive aggressive treatment leading to endotracheal intubation. We sought to identify the frequency, risk factors, and impact on outcome of intubation for PNEA.

METHODS

We retrospectively reviewed all PNEA patients admitted via the emergency department (ED) who had an episode of PNEA documented by continuous video electroencephalography (vEEG) at Henry Ford Hospital between January 2012 and October 2017. Patients with comorbid epilepsy were excluded. Clinical features, treatments, and vEEG reports were compared between intubated and non-intubated patients.

RESULTS

Of 80 patients who were admitted via the ED and had PNEA documented by vEEG, 12 (15%) were intubated. Compared with non-intubated PNEA patients, intubated patients had longer duration of convulsive symptoms (25 [IQR 7-53] vs 2 [IQR 1-9] minutes, P = 0.01), were less likely to have a normal Glasgow Coma Scale score of 15 (33% vs 94%, P < 0.001), received higher doses of benzodiazepines (30 [IQR 16-45] vs 10 [IQR 5-20] mg of diazepam equivalents, P = 0.004), and were treated with more antiepileptic drugs (AEDs, 2 [IQR 1-3] vs 1 [IQR 1-2], P = 0.01). Hospital length of stay was longer (3 [IQR 3-5] vs 2 [IQR 2-3], P = 0.001), and the rate of complications (25% vs 4%, P = 0.04) and re-hospitalization from a recurrent episode of PNEA within 30 days was higher among intubated PNEA patients (17% vs 0%, P = 0.02).

CONCLUSION

Fifteen percent of patients hospitalized for vEEG-documented PNEA were intubated. Intubated patients had longer length of stay, more in-hospital complications, and a high rate of re-hospitalization from recurrent PNEA symptoms. Prolonged duration of convulsive symptoms, depressed level of consciousness, and aggressive treatment with benzodiazepines were associated with intubation for PNEA.

Home Videos as a Cost-Effective Tool for the Diagnosis of Paroxysmal Events in Infants: Prospective Study

Background

The diagnosis of paroxysmal events in infants is often challenging. Reasons include the child’s inability to express discomfort and the inability to record video electroencephalography at home. The prevalence of mobile phones, which can record videos, may be beneficial to these patients. In China, this advantage may be even more significant given the vast population and the uneven distribution of medical resources.

Objective

The aim of this study is to investigate the value of mobile phone videos in increasing the diagnostic accuracy and cost savings of paroxysmal events in infants.

Methods

Clinical data, including descriptions and home videos of episodes, from 12 patients with paroxysmal events were collected. The investigation was conducted in six centers during pediatric academic conferences. All 452 practitioners present were asked to make their diagnoses by just the descriptions of the events, and then remake their diagnoses after watching the corresponding home videos of the episodes. The doctor’s information, including educational background, profession, working years, and working hospital level, was also recorded. The cost savings from accurate diagnoses were measured on the basis of using online consultation, which can also be done easily by mobile phone. All data were recorded in the form of questionnaires designed for this study.

Results

We collected 452 questionnaires, 301 of which met the criteria (66.6%) and were analyzed. The mean correct diagnoses with and without videos was 8.4 (SD 1.7) of 12 and 7.5 (SD 1.7) of 12, respectively. For epileptic seizures, mobile phone videos increased the mean accurate diagnoses by 3.9%; for nonepileptic events, it was 11.5% and both were statistically different (P=.006 for epileptic events; P<.001 for nonepileptic events). Pediatric neurologists with longer working years had higher diagnostic accuracy; whereas, their working hospital level and educational background made no difference. For patients with paroxysmal events, at least US $673.90 per capita and US $128 million nationwide could be saved annually, which is 12.02% of the total cost for correct diagnosis.

Conclusions

Home videos made on mobile phones are a cost-effective tool for the diagnosis of paroxysmal events in infants. They can facilitate the diagnosis of paroxysmal events in infants and thereby save costs. The best choice for infants with paroxysmal events on their initial visit is to record their events first and then show the video to a neurologist with longer working years through online consultation.

Personality traits, illness behaviors, and psychiatric comorbidity in individuals with psychogenic nonepileptic seizures (PNES), epilepsy, and other nonepileptic seizures (oNES): Differentiating between the conditions

OBJECTIVES

The study aimed to investigate if South African individuals with psychogenic nonepileptic seizures (PNES) differ from individuals with epileptic seizures (ES) and other nonepileptic seizures (oNES) in terms of demographic and seizure characteristics, personality traits, illness behaviors, and depression, anxiety, and posttraumatic stress disorder (PTSD) comorbidity in statistically significant ways; and if so, to test if these differences can be utilized in raising suspicion of PNES as the differential diagnosis to epilepsy and oNES in practice.

METHODS

Data were analyzed from 29 adults with seizure complaints recruited using convenience sampling from a private and a government hospital with video-electroencephalography (vEEG) technology. A quantitative double-blind convenient sampling comparative design was used. A demographic and seizure questionnaire, the NEO Five Factor Inventory-3 (NEO-FFI-3), an abbreviated version of Illness Behavior Questionnaire (IBQ), and the Beck Anxiety Inventory - Primary Care (BAI-PC) were administered. Cronbach's alphas, analysis of variance (ANOVA), cross-tabulation, Fisher exact test, and receiver operating characteristic (ROC) analyses were performed on the dataset.

RESULTS

The total sample consisted of 29 participants, of which 5 had PNES (17%), 21 ES (73%), and 3 oNES (10%). The final sample was comprised of 24 participants from the private hospital and 5 from the government hospital. The group with PNES was found to be significantly more male, to experience significantly more monthly seizures, and chronic pain when comparing the PNES with the ES group, and the PNES with the combined ES and oNES group in both private only sample, as well as the private and government hospital combined sample. Patients with PNES also had a higher level of education compared with the group with ES in the combined private and government hospital sample, something that was not evident in the private hospital only sample. No significant differences between groups were found in either sample in terms of age, population group, language, age at first seizure, and the NEO-FFI-3 subscales. All three groups scored above the cutoff point of 5 exhibiting depression, anxiety, and PTSD symptoms on the BAI-PC in both samples. However, the group with PNES tended to score significantly higher than the group with ES and the combined ES and oNES group in the private hospital sample. A cutoff point of 12 on the BAI-PC was found to predict PNES in this seizure population with 80% sensitivity and 89% specificity. However, once the analysis was repeated on the combined private and government hospital sample, significance in BAI-PC scores between groups was lost. All scales showed good reliability in our study, with the exception of the "Openness to Experience" subscale of the NEO-FFI-3 once reliability analysis was carried out on the combined private and government hospital group.

CONCLUSIONS

This study provides an important stepping stone in the understanding of demographic and seizure factors, personality domains, abnormal illness behaviors, and psychiatric comorbidity in the South African population with PNES. The study also reported on a cutoff score of 12 on the BAI-PC predicting PNES with 80% sensitivity and 89% specificity in a private hospital sample.

Psychiatric comorbidities go unrecognized in patients with epilepsy: "You see what you know"

Patients with epilepsy (PWE) have a significantly higher prevalence of psychiatric comorbid disorders involving depression, anxiety, psychotic, and attention-deficit disorders compared with the general population or patients with other chronic medical conditions. Currently, there is no systematic approach in the evaluation and management of psychiatric comorbidities in these patients. In addition, neurologists are not trained to recognize these disorders, and consequently, they remain undertreated. Despite the high prevalence of psychiatric comorbidities in patients evaluated for epilepsy surgery, most epilepsy centers in North America do not include a psychiatric evaluation as part of the presurgical work-up. Despite the intimate relationship between psychiatric comorbidities and epilepsy, collaboration between epileptologists and psychiatrists is sparse at best and nonexistent at worse. The purpose of this paper was to highlight and try to understand the causes behind the persistent lack in communication between neurologists and psychiatrists, the gap in the training of neurologists on psychiatric aspects of neurologic disorders and vice versa and to propose new initiatives to fix the problem. This article is part of the Special Issue "Obstacles of Treatment of Psychiatric Comorbidities in Epilepsy".

Dual diagnosis of epilepsy and psychogenic nonepileptic seizures: Systematic review and meta-analysis of frequency, correlates, and outcomes

Comorbid epilepsy and psychogenic nonepileptic seizures (PNES) represent a serious challenge for the clinicians. However, the frequency, associations, and outcomes of dual diagnosis of epilepsy and PNES are unclear. The aim of the review was to determine the frequency, correlates, and outcomes of a dual diagnosis. A systematic review of all published observational studies (from inception to Dec. 2016) was conducted to determine the frequency, correlates, and outcomes of dual diagnosis. We included studies of individuals of any age reporting a dual diagnosis of epilepsy and PNES. All observational study designs were included with the exception of case reports and case series with fewer than 10 participants. The mean frequency of epilepsy in patients with PNES across all studies was 22% (95% confidence intervals [CI] 20 to 25%, range: 0% to 90%) while the mean frequency of PNES in patients with epilepsy was 12% (95% CI 10 to 14%, range: 1% to 62%). High heterogeneity means that these pooled estimates should be viewed with caution. A number of correlates of dual diagnosis were reported. Some studies delineated differences in semiology of seizures in patients with dual diagnosis vs. PNES or epilepsy only. However, most of the correlates were inconclusive. Only a few studies examined outcome in patients with dual diagnosis. Dual diagnosis is common in clinical practice, especially among patients referred to specialized services, and requires careful diagnosis and management.

Psychiatric disorders and trauma history in patients with pure PNES and patients with PNES and coexisting epilepsy

Several studies found high prevalence rates of psychiatric disorders in patients with pure psychogenic nonepileptic seizures (PNES). Traumatic experiences were also reported to be elevated in patients with PNES and were discussed as a crucial risk factor for the development of PNES. Much less is known about psychiatric comorbidities and specifically, about trauma history in patients with PNES and coexisting epilepsy. Here, we aimed at directly comparing psychiatric disorders and traumatic life experiences in patients with pure PNES and in patients with PNES and coexisting epilepsy. We assessed the presence of current axes I and II disorders in 109 patients with either pure PNES (n = 67) or with PNES + epilepsy (n = 42) by using structured clinical interviews. We also compared the trauma histories by using the posttraumatic diagnostic scale (PDS) as an interview and the extent of physical, sexual, and emotional childhood maltreatment measured with the Childhood Trauma Questionnaire (CTQ). Patients of both groups had very high rates of psychiatric disorders: 79.1% of the patients with pure PNES and 76.2% of the patients with PNES + epilepsy had at least one psychiatric disorder. The frequencies of psychiatric disorders did not differ between groups. However, there was a trend towards higher rates of posttraumatic stress disorder (PTSD) in patients with PNES (32.9%) compared with patients with PNES + epilepsy (16.7%). In both groups, the proportion of patients who recalled traumatic events in the PDS was high (72.6% in the patients with pure PNES, 64.3% in the patients with PNES + epilepsy) and did not differ significantly between groups. The age at first traumatization, the types of trauma events experienced, the number of patients with single traumatization, and those with repeated traumatic experiences also did not differ between groups. We found high frequencies of childhood maltreatment in both groups. Our findings show that patients with PNES and patients with PNES and coexisting epilepsy could neither be differentiated by the amount of psychiatric additional disorders nor by the nature and extent of trauma and maltreatment experiences. Our results suggest that patients with PNES + epilepsy rather resemble patients with pure PNES than patients with epilepsy in respect to psychopathological characteristics and adverse life experiences. Trauma and maltreatment history are therefore assumed to be predisposing factors to PNES in both patients with pure PNES and patients with PNES and coexisting epilepsy.

Early outcomes in youth with psychogenic nonsyncopal collapse

Objective

To evaluate several early outcome measures following diagnosis of psychogenic nonsyncopal collapse (PNSC).

Methods

Over a 34-month period, a prospective cohort study was conducted of patients referred for tilt-table evaluation of fainting and orthostatic intolerance. Clinical histories were obtained and anxiety and depressive symptom questionnaires were completed prior to testing. Among 539 patients referred, 100 (18.6%) were diagnosed with PNSC. Outcome data were collected by telephone or during routine follow-up a median of 572 days postdiagnosis.

Results

Eighty-four patients (84%) provided outcome data. Following communication of the diagnosis, 32 patients (38%) had immediate PNSC resolution. Attack resolution occurred in 44% by 1 month, 51% by 6 months, 52% by 12 months, 69% after 12 months, and 31% continued to have PNSC at the time of follow-up. Patients with continued PNSC had higher anxiety scores than patients with immediate resolution (p = 0.047). Following diagnosis, emergency department visits for fainting decreased from 78.6% to 20.2% (p = 0.017), and management by psychology or psychiatry increased from 26.2% to 76.2% (p < 0.001). During the follow-up period, 8 patients (9.5%) were hospitalized for suicidal ideation, a median of 253 (range 33–470) days postdiagnosis; 12 patients (14.3%) developed new (non-PNSC) conversion disorders, a median of 86 (range 9–504) days postdiagnosis. Suicidal ideation was associated with higher anxiety (p = 0.007) but not higher depression scores.

Conclusions

The diagnostic rate of PNSC parallels that of PNES among patients referred for tertiary care evaluations. The improvements in attack frequency following PNSC diagnosis must be tempered by the potential risks of self-harm and the development of new conversion disorders.

Survey of physician attitudes towards psychogenic nonepileptic seizures and driving

BACKGROUND

Physicians from various disciplines encounter patients presenting with psychogenic nonepileptic seizures (PNES) as part of their routine clinical practice. Recommendations towards assessing fitness to drive and reporting are clearer for conditions such as neurocognitive disorders and epilepsy, but such guidelines do not exist for patients with PNES. Here, we assess physicians' attitudes towards driving for patients diagnosed with PNES.

METHODS

Electronic questionnaires were sent to Neurology and Family Medicine physicians practicing at Creighton University Medical Center and Psychiatry physicians practicing at Creighton-Nebraska Psychiatry Residency Program to assess their opinion regarding driving risk when encountering PNES.

RESULTS

The survey request was sent to 125 physicians, of which close to 60% completed the survey. Eighty-eight percent of participants encountered PNES in their clinical practice, and 69.1% agreed it was a difficult problem to assess, with only 8.3% endorsing a belief that these patients should drive without restrictions. Ninety-three percent felt having guidelines would help them assess the driving risk in this population.

CONCLUSION

Psychogenic nonepileptic seizures are common across neurology, psychiatry, and primary care, and most physicians find assessing driving risk in such individuals highly warranted yet difficult. Developing such assessment guidelines and recommendations is of great need for clinicians.

The Identification of Torsades de Pointes via CEEG: A Case Report on a Patient with Physiologically Provoked Nonepileptic Events

Continuous electroencephalography (CEEG) is chiefly performed at The Medical University of South Carolina (MUSC) for identifying seizures, including its refined use within the epilepsy monitoring unit (EMU) as a differentiator between epileptic and psychogenic etiologies. CEEG also provides critical data that carry implications outside the bounds of both epilepsy and psychogenic events, such as the characterization of unorthodox clinical phenomena that are of physiological (though nonepileptic) origins. Although nonepileptic events (NEEs) are primarily linked with psychogenic phenomena (conversion disorder, malingering) that can mimic epileptic activity, they, like seizures, have diverse semiologies and etiologies. Although it is reasonable for seasoned neurodiagnostics professionals to develop an expectation that NEEs are of psychogenic origin, it is essential to acknowledge that they include etiologies that lay beyond those of psychiatric influence. Such a case is presented in which a 74-year-old female patient who, though initially suspected of having either psychogenic or epileptic seizures, was found to be having frequent episodes of the life-threatening cardiac convulsive syncope torsades de pointes (TdP). The patient had several known risk factors for TdP, including a prolonged QT complex, female gender, advancing age, active medications known to provoke TdP, and electrolyte imbalances (low magnesium and potassium) (Trinkley et al. 2013). TdP was first suspected through the CEEG by a combination of remarkable EEG background changes, recorded video evidence of clinical features, and accompanying single-lead electrocardiogram (ECG) data captured during the events. Upon proper diagnosis, the patient was urgently treated with restorative measures, including electrolyte replenishment, pacemaker implantation, and cessation of provocative medications.

Racial disparities in temporal lobe epilepsy

OBJECTIVE

This study reports on epilepsy type period prevalence and black-white racial differences in a large patient population in the Southeastern United States.

METHODS

For all patients visiting the University of Alabama at Birmingham's seizure monitoring unit between 2000 and 2011 (n = 3240), video EEG diagnosis was recorded along with basic demographic information. Descriptive statistics and multivariate logistic regression were used to identify factors associated with temporal lobe epilepsy (TLE) diagnosis.

RESULTS

The racial distribution was 77.3% white, and 20.0% black (other races were only 2.3% of the population). Most patients had either TLE (n = 630) or PNES (n = 1150) compared to other focal (n = 424) or generalized epilepsies (n = 224). The diagnosis of TLE was significantly greater for blacks than whites (odds ratio [OR] = 1.87, 95% confidence interval [CI] 1.47-2.37). The period prevalence measures for the other conclusively diagnosed epilepsies were not significantly different. Women were disproportionately represented in the study population, and black women carried the most statistical weight for the TLE prevalence difference.

INTERPRETATION

The nearly two-fold larger period prevalence of TLE among black patients is a striking finding that merits explanation. Although some selection bias exists due to a moderately lower than expected representation of blacks, socioeconomic status or access to care should not be assumed to be the only factors that might be responsible for the prevalence difference. Rather, all clues for distinct pathophysiological racial differences should be explored.

Clinical utility of serum lactate levels for differential diagnosis of generalized tonic-clonic seizures from psychogenic nonepileptic seizures and syncope

BACKGROUND

The differential diagnosis of generalized tonic-clonic seizures (GTCS), psychogenic nonepileptic seizures (PNES), and syncope constitutes a major challenge. Misdiagnosis rates up to 20 to 30% are reported in the literature.

PURPOSE

To assess the clinical utility of serum lactate levels for differentiation of GTCS, PNES, and syncope based on gender differences.

METHODS

Data from 270 patients were evaluated retrospectively. Only patients ≥18 years old with the final diagnosis of GTCS, PNES, or syncope in their chart were recruited. Serum lactate levels were measured in the first 2h of the index event.

RESULTS

Serum lactate levels in patients with GTCS (n=157) were significantly higher than in the patients with PNES (n=25) (p<0.001) and syncope (n=88) (p<0.001). When compared with the females, serum lactate levels in patients with GTCS were significantly higher in the male subgroup (p=0.004). In male patients the ROC analysis yielded a serum lactate value of 2.43mmol/l with a sensitivity of 0.85 and a specificity of 0.88 as the optimal cut-off value to distinguish GTCS from other events. The ROC analysis for the AUC yielded a high estimate of 0.94 (95% confidence interval: 0.91-0.98). When a cut-off value of 2.43mmol/l was chosen for the females, which was an optimal value for male patients, the specificity was 0.85, however, the sensitivity was 0.64.

CONCLUSION

We propose that serum lactate level when measured in the first 2h after the index event has a high clinical utility in the differential diagnosis of GTCS, PNES, and syncope. With concomitant clinical signs and physical examination findings besides neuroimaging and EEG, elevated levels of lactate should be taken into account when evaluating a patient with impaired consciousness. On the other hand, the suggested cut-off value 2.43mmol/l might not have a discriminative effect between GTCS, PNES, and syncope in female patients. This finding should be verified in a prospectively designed study with a larger patient population.

Psychogenic nonepileptic seizures in patients with surgically treated temporal lobe epilepsy: Presurgical and de novo postsurgical occurrence

Whether occurring before or after an epilepsy surgery, psychogenic nonepileptic seizures (PNES) impact treatment options and quality of life of patients with epilepsy. We investigated the frequency of pre- and postsurgical PNES, and the postsurgical Engel and psychiatric outcomes in patients with drug-resistant temporal lobe epilepsy (TLE). We reviewed 278 patients with mean age at surgery of 37.1±12.4years. Postsurgical follow-up information was available in 220 patients, with average follow-up of 4years. Nine patients (9/278 or 3.2%) had presurgical documented PNES. Eight patients (8/220 or 3.6%) developed de novo PNES after surgery. Pre- and postsurgery psychiatric comorbidities were similar to the patients without PNES. After surgery, in the group with presurgical PNES, five patients were seizure-free, and three presented persistent PNES. In the group with de novo postsurgery PNES, 62.5% had Engel II-IV, and 37.5% had Engel I. All presented PNES at last follow-up. Presurgical video-EEG monitoring is crucial in the diagnosis of coexisting PNES. Patients presenting presurgical PNES and drug-resistant TLE should not be denied surgery based on this comorbidity, as they can have good postsurgical epilepsy and psychiatric outcomes. Psychogenic nonepileptic seizures may appear after TLE surgery in a low but noteworthy proportion of patients regardless of the Engel outcome.

Postdiagnosis neurological care for patients with psychogenic nonepileptic spells (PNES)

OBJECTIVE

This study investigated continuity of neurological care for patients discharged from the epilepsy monitoring unit (EMU) with a diagnosis of psychogenic nonepileptic spells (PNES). Because PNES are seizure-like episodes that cannot be explained by abnormal electrical brain activity, they are challenging for patients to understand and accept. Consequently, after diagnosis, patients commonly fail to start recommended psychotherapy and instead pursue redundant medical care. As consistent relationships with healthcare providers may help, we instituted standard follow-up for patients diagnosed with PNES.

METHODS

We performed a retrospective observational cohort study of adults diagnosed with PNES in our EMU. In November 2013, we began routine scheduling of postdischarge follow-up neurology appointments. We compared preintervention (November 2010-October 2013) and postintervention (November 2013-May 2016) cohorts with regard to clinic attendance, understanding the diagnosis, compliance with recommendations, and event frequency.

RESULTS

We identified 55 patients in the preintervention cohort and 123 patients in the postintervention cohort. We successfully implemented the intended practice changes; more patients had follow-up scheduled by discharge (preintervention 2% vs. postintervention 36%, p<0.001), time to follow-up decreased (46days vs. 29, p=0.001), and providers more consistently queried understanding of diagnosis (38% vs. 67%, p=0.03). Explicit planning for continued care did not produce the anticipated patient-provider relationships, as follow-up in clinic was low (38% vs. 37%). For patients who attended clinic, the intervention did not improve establishment of psychiatric care, compliance with medication recommendations, understanding of diagnosis, or event frequency. The odds of reduced event frequency were nonsignificantly increased with understanding the diagnosis (OR 3.75, p=0.14). Recommending antiepileptic drug (AED) discontinuation was associated with increased odds of event freedom (OR 6.91, p<0.01).

SIGNIFICANCE

Scheduling follow-up for patients diagnosed with PNES did not facilitate ongoing patient-provider relationships due to poor clinic attendance. As follow-up is unreliable, the inpatient visit is a critical window of opportunity for intervention.

Simultaneous occurrence of nonepileptic and epileptic seizures during a single period of in-patient video-electroencephalographic monitoring

Epilepsy and psychogenic nonepileptic seizures (PNES) can coexist and may present in two forms: sequential and simultaneous. In sequential presentations, epileptic seizures (ES) are treated and PNES emerge later. Simultaneous recording of ES and PNES by video‐electroencephalogram (vEEG) is less well described. We retrospectively reviewed all patients diagnosed with PNES by vEEG following standard seizure induction practices over a 21‐month period. Within this cohort, we established the prevalence of coexisting epilepsy using clinical and electrographic data acquired from our epilepsy‐specific patient record. We identified patients with simultaneous PNES and ES recorded during a single vEEG admission, establishing the frequency and emergent timing of each type. Of our 262 monitored patients, 59 were diagnosed with PNES. Nineteen of the patients with PNES had coexisting epilepsy (prevalence rate of 7.3% or 32% of those with PNES). Sixteen patients had PNES and ES recorded during the same admission, and the remaining three patients had sequential PNES following successful treatment of ES. PNES occurred earlier (mean, within 1.21 days), with ES occurring later (mean, within 4.86 days). The simultaneous occurrence of PNES and ES recorded during a single admission is more common than previously reported. Identifying this group of patients may require a significantly longer period of vEEG monitoring and a detailed analysis of each individual's historical seizure events.

Case report: Epilepsy surgical outcome for epileptic and non epileptic seizures with posttraumatic stress disorder and depression

A 48-year-old male was diagnosed with both drug resistant epilepsy and psychogenic nonepileptic seizures. Both diagnoses were confirmed by video-EEG monitoring. His epileptic seizures were a consequence of right mesial temporal sclerosis. He was diagnosed by a psychiatrist to have depression and posttraumatic stress disorder (PTSD). Following a right anterior temporal resection he became seizure free (both epileptic and nonepileptic) with a remarkable improvement in his psychiatric comorbidities leading to significant reduction in his psychotropic medications.

No reports have been identified in the literature of patients with epilepsy and PNES with coexisting PTSD having epilepsy surgery.

Paroxysmal events during prolonged video-video electroencephalography monitoring in refractory epilepsy

INTRODUCTION

Given that epileptic seizures and non-epileptic paroxysmal events have similar clinical manifestations, using specific diagnostic methods is crucial, especially in patients with drug-resistant epilepsy. Prolonged video electroencephalography monitoring during epileptic seizures reveals epileptiform discharges and has become an essential procedure for epilepsy diagnosis. The main purpose of this study is to characterise paroxysmal events and compare patterns in patients with refractory epilepsy.

METHODS

We conducted a retrospective analysis of medical records from 91 patients diagnosed with refractory epilepsy who underwent prolonged video electroencephalography monitoring during hospitalisation.

RESULTS

During prolonged video electroencephalography monitoring, 76.9% of the patients (n=70) had paroxysmal events. The mean number of events was 3.4±2.7; the duration of these events was highly variable. Most patients (80%) experienced seizures during wakefulness. The most common events were focal seizures with altered levels of consciousness, progressive bilateral generalized seizures and psychogenic non-epileptic seizures. Regarding all paroxysmal events, no differences were observed in the number or type of events by sex, in duration by sex or age at onset, or in the number of events by type of event. Psychogenic nonepileptic seizures were predominantly registered during wakefulness, lasted longer, started at older ages, and were more frequent in women.

CONCLUSIONS

Paroxysmal events recorded during prolonged video electroencephalography monitoring in patients with refractory epilepsy show similar patterns and characteristics to those reported in other latitudes.