Epileptic vs psychogenic nonepileptic seizures: a video-based survey

Use of an Electronic Medical Record Alert to Prevent Iatrogenic Interventions in Patients With Psychogenic Nonepileptic Seizures

Background and Objectives

Seizures are a common presentation to the emergency department and the hospital setting. Psychogenic or functional seizures are often misdiagnosed as epileptic seizures or status epilepticus, and patients are subject to aggressive interventions including sedation, intubations, and prolonged hospital admissions. An electronic medical record (EMR) best practice alert (BPA) was implemented in 2016 for all patients with a confirmed diagnosis of psychogenic nonepileptic seizures (PNES) at Rush University Medical Center. It informs health care providers of the diagnosis and provides education on interacting with the patient's chart. This study evaluates the effectiveness of an EMR BPA in preventing iatrogenic interventions for patients with a diagnosis of PNES.

Methods

A retrospective chart review was performed on all patients who presented to Rush University Medical Center between January 2017 and December 2019 and had a PNES BPA triggered. Data on emergency department (ED) visits and inpatient admissions for these patients from the year before and the year after the first BPA trigger were compared. A Wilcoxon signed-rank test and McNemar test were used for analysis.

Results

A PNES BPA was triggered in 178 patients. One hundred and forty-three (80%) were female. The mean age was 41 (18-81) years. There was a decrease in the number of ED visits; hospital admissions; intensive care unit (ICU) admissions; and interventions such as intubations and rescue benzodiazepine use in the year after the BPA was first triggered compared with the previous year (p < 0.05). No adverse events were identified in relation to the BPA.

Discussion

This study demonstrates that the use of an EMR BPA can be safe and effective in preventing potential iatrogenic interventions and reducing acute health care utilization in patients with PNES. These BPAs can also be used as an educational tool to communicate the presentation, risks, and needs of these patients within the hospital setting.

Distinguishing epileptic seizures from imitators: A video-based evaluation of non-epileptologist physicians

OBJECTIVES

Epileptic seizures can present with various clinical manifestations, often resembling other conditions-referred to as "imitators of epileptic seizures"-making differential diagnosis challenging. Among them, psychogenic non-epileptic seizures (PNES) or functional/dissociative seizures (FDS) are particularly prevalent in females. This study aimed to evaluate the ability of various non-epileptologist physicians to distinguish epileptic seizures from imitators by viewing video recordings of several paroxysmal events. We also assessed whether variables, such as medical specialty and years of professional experience, could impact diagnostic accuracy.

MATERIALS AND METHODS

Ten video recordings of authorized informational material were presented to non-epileptologist physicians. Five videos depicted non-epileptic events, including syncope, hyperkinetic movement disorder episodes, cataplexy, PNES/FDS, and REM behavior disorder. The remaining videos featured focal and generalized seizures. Participants completed an anonymous questionnaire to classify each event as epileptic or non-epileptic.

RESULTS

Seventy specialists (44 men, 26 women) from psychiatry (12.9%), internal medicine (12.9%), neurosurgery (14.3%), neurology (14.3%), emergency (18.6%), anesthesiology. (18.6 %) and others (7.1 %) were enrolled. The mean age was 49.9 ± 8.7 years; years of work experience were 0-20 years for 53 % and 21-40 years for 47 %. Epileptic seizures were correctly. recognized in 50.3% of cases, whereas non-epileptic paroxysmal events were. misdiagnosed in 49.7% of cases. The most accurately recognized event was tonic-clonic seizure (88.6%), while the most frequently misdiagnosed was PNES/FDS (94.3%).

DISCUSSION AND CONCLUSION

Correctly diagnosing epileptic and non-epileptic paroxysmal events can be challenging when relying solely on video recordings. This study highlights the importance of implementing training for adequate diagnosis and subsequent correct management of these conditions.

The role of seizure video recordings in the diagnosis of referred drug-resistant epilepsy: A stepwise approach

BACKGROUND

Patient-recorded videos offer a practical alternative for diagnosing epilepsy and psychogenic nonepileptic seizures (PNES), yet their diagnostic value across sequential clinical questions remains underexplored.

OBJECTIVE

To assess the diagnostic utility of patient-recorded seizure videos in distinguishing epilepsy from PNES, classifying seizure types, and localizing and lateralizing epileptic foci, as well as their impact on physician confidence and interrater reliability.

METHODS

In this prospective two-phase study, 40 patients referred for drug-resistant epilepsy evaluation were screened, 30 of whom met the inclusion criteria. Diagnoses were made by one neurologist and confirmed by an independent neurologist via clinical data, electroencephalography, neuroimaging, and patient-recorded videos. Three neurologists independently reviewed cases across four diagnostic steps: (1) epilepsy vs. PNES, (2) focal vs. generalized epilepsy, (3) seizure localization: temporal vs. extratemporal, and (4) seizure lateralization: right vs. left. Diagnostic accuracy, physician confidence, and interrater reliability were analyzed before and after video integration.

RESULTS

Diagnostic accuracy achieved excellent results before and after watching videos in Step 1 (91.67-95 %) and Step 2 (95.93-100 %). After the videos were reviewed, the accuracies in Steps 3 and 4 were good, reaching 83.87 % and 81.48 %, respectively. Videos significantly increased physician confidence across all steps. Interrater reliability improved for Steps 1 and 2-0.67 and 1.00, respectively. Those of seizure localization and lateralization slightly decreased, accompanied by increased accuracy, reflecting a trend toward inconsistent alterations to correct diagnoses among physicians.

CONCLUSION

The accuracy of epilepsy diagnosis in steps 1 and 2 is excellent, and that in steps 3 and 4 is good. Their integration with v-EEG and other diagnostic modalities, such as neuroimaging and invasive techniques, can enhance diagnostic workflows by providing complementary semiological information. Further studies with larger cohorts are warranted to confirm these findings and optimize their application in clinical practice.

Global Dynamic Impression for Differentiating Between Epileptic and Psychogenic Nonepileptic Seizures: A Feasibility Study

OBJECTIVE

Medical personnel show difficulty in differentiating psychogenic nonepileptic seizures (PNES) from epileptic seizures (ES). The purpose of this study was to conduct an initial feasibility assessment of the global dynamic impression (GDI) principle and to evaluate its effectiveness in enabling the diagnosis of epileptic versus psychogenic seizures using video footage of events, even by untrained personnel METHODS: We based this study on video footage showing five videos of PNES and five ES videos. We asked physicians and nurses from the emergency department, internal medicine department, neurology department, and medical students to classify the videos before and after learning the GDI principle. The GDI principle is a simple clinical tool assuming repetitive movements with minimal dynamics in vector and frequency in motor PNES. A correct answer earned a score of 10 points, and a wrong answer a score of 0. Therefore, the questionnaire score could range from 0 to 100.

RESULTS

A total of 108 medical personnel participated in the study. A total of 42 participants filled out the questionnaire before training-Group 1, and 36 participants filled out the questionnaire after training-Group 2; 30 participants filled out the questionnaire before and after the training-Group 3. The mean score of Group 1 was 55.23 ± 17.83 versus 75.55 ± 13.61 in Group 2 (p = 0.0000001). The mean score of Group 3 was 53 ± 17.8 compared to 78 ± 12.9, before and after training, respectively (p = 0.000001).

SIGNIFICANCE

A brief training on the GDI principle of various medical teams, even unskilled teams, significantly improves differentiating PNES from ES.

The role of stand-alone videos in the diagnosis of seizures

The diagnosis of seizures and seizure mimics relies primarily on the history, but history has well-known limitations. Video recordings of events are a powerful extension of the history because they allow neurologists to view the events in question. In addition, they are readily available in situation, whereas the gold standard of EEG-video is not. That includes underserved or rural areas, and events that are too infrequent to be captured during a few days of EEG-video monitoring. Brief cellphone videos have been shown to be valuable to suggest or guide the correct diagnosis.

Which psychogenic nonepileptic seizure (PNES) patients are more likely to be treated with anti-seizure medications?

BACKGROUND

The average time for psychogenic nonepileptic seizures (PNES) diagnosis is about 7.5 years. Many patients receive inadequate treatment and sometimes even life-threatening treatments such as tracheal intubation during this time.

PURPOSE

To determine the risk factors for misdiagnosis of PNES as Epilepsy.

METHODS

The medical records of patients who underwent video-electroencephalogram (EEG) monitoring were reviewed retrospectively. Patients who had PNES without epileptic seizures (ES) were included in this study. Baseline personal and monitoring characteristics were collected. The patients were then divided into two groups based on their therapeutic status. Patients in the treatment group were again divided into two groups based on the number of anti-seizure medications (ASM) they were treated with.

RESULTS

Fifty-seven patients diagnosed with PNES were included in this study. Thirty-seven patients were under treatment, and 20 patients were not under treatment at the time of monitoring. Motor seizures, abnormal interictal EEG patterns, and pathological brain imaging findings were more frequent among patients in the treatment group (p<0.05). Patients with motor seizures were more likely to be treated with multiple ASM than patients with only dialeptic nonmotor seizures (p<0.05). Lastly, patients in the treatment group were monitored longer and had fewer seizures during monitoring (p<0.05).

CONCLUSION

PNES patients with abnormal EEG patterns and pathological brain imaging findings are more likely to be treated with ASM. The pure dialeptic nature of seizures is less likely to be misdiagnosed as ES. In addition, patients with such seizures are less likely to be treated with multiple treatment lines.

Dissociative seizures in the emergency room: room for improvement

BACKGROUND

Dissociative seizures, also known as functional or psychogenic non-epileptic seizures, account for 11%-27% of all emergency seizure presentations. Misdiagnosis as epileptic seizures is common and leads to ineffective and potentially harmful treatment escalations. We assess the potential for diagnostic improvement at different stages of emergency workup and estimate the utility of benzodiazepines.

METHODS

A retrospective study of all emergency presentations with a discharge diagnosis of acute dissociative seizures seen at a university hospital 2010-2022 was performed to assess clinical characteristics and emergency decision-making.

RESULTS

Among 156 patients (73% female, median 29 years), 15% presented more than once for a total of 203 presentations. Half of seizures were ongoing at first medical contact; prolonged seizures and clusters were common (23% and 24%). Diagnostic accuracy differed between on-site emergency physicians and emergency department neurologists (12% vs 52%). Typical features such as eye closure, discontinuous course and asynchronous movements were common. Benzodiazepines were given in two-thirds of ongoing seizures, often in high doses and preferentially for major hyperkinetic semiology. Clinical response to benzodiazepines was mixed, with a minority of patients remaining either unaffected (16%) or becoming critically sedated (13%). A quarter of patients given benzodiazepines by emergency medical services were admitted to a monitoring unit, 9% were intubated.

CONCLUSIONS

Improved semiological assessment could reduce early misdiagnosis of dissociative seizures. Although some seizures seem to respond to benzodiazepines, critical sedation is common, and further studies are needed to assess the therapeutic ratio.

Education Research: Educating Child Neurology Residents About Psychogenic Nonepileptic Seizures: A Needs Assessment

Background and Objectives

Psychogenic nonepileptic seizures (PNES) are difficult to differentiate from epileptic seizures (ES) even for neurologists who see these conditions frequently. This difficulty is due to overlapping semiologic findings between the 2 diagnoses. Previous studies have shown that trainees, including neurology trainees, are not accurate in differentiating PNES from ES. Neurologists often find the communication of PNES difficult. Despite these challenges, most programs do not have formal curricula for teaching PNES, and there are no standards for residency curricula in this topic. The aim of this study was to understand the gaps in resident education on PNES.

Methods

This study was accomplished through a needs assessment of current pediatric neurology residents and residency program directors (PDs). Two unique surveys were distributed, 1 for child neurology trainees and 1 for PDs. Questions were designed to understand trainees' self-reported knowledge, confidence, current education received, and desired teaching. Similarly for PDs, questions were designed to assess the state of education on PNES at their programs, sufficiency of education, and their desire for standardized curriculum.

Results

Sixty-eight trainees and 21 PDs responded to the survey. Approximately one-quarter of trainees reported neutral to low levels of confidence and 38% reported neutral to low levels of knowledge in caring for patients with PNES. Trainees reported that directing patients with PNES to appropriate management was the most challenging aspect of care, followed by communicating the diagnosis, with 60% and 46% reporting difficulty, respectively. Only 21% of residents felt their current PNES education needs no improvement. One-fifth of PDs felt their current PNES education is not sufficient, and all reported they would incorporate a standardized curriculum. Trainees reported preferring to learn about this topic through lectures and simulation, while PDs preferred online modules and simulation.

Discussion

While residents and PDs report high confidence and knowledge in treating pediatric patients with PNES, respondents felt improvement is needed to their curricula regarding this topic. Multiple learning methods are preferred, with emphasis on communicating the diagnosis and management of patients once the diagnosis has been made. PDs desire a standardized curriculum and would incorporate one into their programs. Findings of this study could be used to create a national curriculum.

Economic review of point-of-care EEG

Aims: Point-of-care electroencephalogram (POC-EEG) is an acute care bedside screening tool for the identification of nonconvulsive seizures (NCS) and nonconvulsive status epilepticus (NCSE). The objective of this narrative review is to describe the economic themes related to POC-EEG in the United States (US).Materials and methods: We examined peer-reviewed, published manuscripts on the economic findings of POC-EEG for bedside use in US hospitals, which included those found through targeted searches on PubMed and Google Scholar. Conference abstracts, gray literature offerings, frank advertisements, white papers, and studies conducted outside the US were excluded.Results: Twelve manuscripts were identified and reviewed; results were then grouped into four categories of economic evidence. First, POC-EEG usage was associated with clinical management amendments and antiseizure medication reductions. Second, POC-EEG was correlated with fewer unnecessary transfers to other facilities for monitoring and reduced hospital length of stay (LOS). Third, when identifying NCS or NCSE onsite, POC-EEG was associated with greater reimbursement in Medical Severity-Diagnosis Related Group coding. Fourth, POC-EEG may lower labor costs via decreasing after-hours requests to EEG technologists for conventional EEG (convEEG).Limitations: We conducted a narrative review, not a systematic review. The studies were observational and utilized one rapid circumferential headband system, which limited generalizability of the findings and indicated publication bias. Some sample sizes were small and hospital characteristics may not represent all US hospitals. POC-EEG studies in pediatric populations were also lacking. Ultimately, further research is justified.Conclusions: POC-EEG is a rapid screening tool for NCS and NCSE in critical care and emergency medicine with potential financial benefits through refining clinical management, reducing unnecessary patient transfers and hospital LOS, improving reimbursement, and mitigating burdens on healthcare staff and hospitals. Since POC-EEG has limitations (i.e. no video component and reduced montage), the studies asserted that it did not replace convEEG.

Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist

PURPOSE OF REVIEW

Machine Learning (ML) and Artificial Intelligence (AI) are data-driven techniques to translate raw data into applicable and interpretable insights that can assist in clinical decision making. Some of these tools have extremely promising initial results, earning both great excitement and creating hype. This non-technical article reviews recent developments in ML/AI in epilepsy to assist the current practicing epileptologist in understanding both the benefits and limitations of integrating ML/AI tools into their clinical practice.

RECENT FINDINGS

ML/AI tools have been developed to assist clinicians in almost every clinical decision including (1) predicting future epilepsy in people at risk, (2) detecting and monitoring for seizures, (3) differentiating epilepsy from mimics, (4) using data to improve neuroanatomic localization and lateralization, and (5) tracking and predicting response to medical and surgical treatments. We also discuss practical, ethical, and equity considerations in the development and application of ML/AI tools including chatbots based on Large Language Models (e.g., ChatGPT). ML/AI tools will change how clinical medicine is practiced, but, with rare exceptions, the transferability to other centers, effectiveness, and safety of these approaches have not yet been established rigorously. In the future, ML/AI will not replace epileptologists, but epileptologists with ML/AI will replace epileptologists without ML/AI.

Using Verbally-Reported and Video-Observed Semiology to Identify Functional Seizures

Diagnosis of functional seizures, also known as psychogenic nonepileptic seizures, starts with a clinical interview and description of the seizures. A targeted approach to this evaluation can provide valuable information to gauge the likelihood of functional seizures as compared with other similar conditions including but not limited to epileptic seizures. This review focuses on the use of patient and witness descriptions and seizure videos to identify patients with probable functional seizures. Particular emphasis is given to recognizing the limitations of the available data and the influence of health-care provider expertise on diagnostic accuracy.

Increasing challenges to trial recruitment and conduct over time

OBJECTIVE

This study was undertaken to evaluate how the challenges in the recruitment and retention of participants in clinical trials for focal onset epilepsy have changed over time.

METHODS

In this systematic analysis of randomized clinical trials of adjunct antiseizure medications for medication-resistant focal onset epilepsy, we evaluated how the numbers of participants, sites, and countries have changed since the first such trial in 1990. We also evaluated the proportion of participants who completed each trial phase and their reasons for early trial exit. We analyzed these trends using mixed effects generalized linear models accounting for the influence of the number of trial sites and trial-specific variability.

RESULTS

The number of participants per site has steadily decreased over decades, with recent trials recruiting fewer than five participants per site (reduction by .16 participants/site/year, p < .0001). Fewer participants also progressed from recruitment to randomization over time (odds ratio = .94/year, p = .014). Concurrently, there has been an increase in the placebo response over time (increase in median percent reduction of .4%/year, p = .02; odds ratio of increase in 50% responder rate of 1.03/year, p = .02), which was not directly associated with the number of sites per trial (p > .20).

SIGNIFICANCE

This historical analysis highlights the increasing challenges with participant recruitment and retention, as well as increasing placebo response. It serves as a call to action to change clinical trial design to address these challenges.

Use of video alone for differentiation of epileptic seizures from non-epileptic spells: A systematic review and meta-analysis

INTRODUCTION

Review of videos (without electroencephalography) to differentiate epileptic seizures (ES) from non-epileptic spells (NES) may be helpful where epilepsy monitoring is not feasible. Previous studies of video-based diagnosis have suffered from variable accuracy, sensitivity, and specificity.

METHODS

We systematically reviewed relevant literature in PubMed, Embase, and Web of Science from inception to September 2022, identifying articles that reported on the video-based diagnosis of ES and NES. In primary analysis, for each study, the most expert group was chosen when different groups of reviewers classified the videos (e.g., epilepsy specialists and general neurologists). In secondary analysis, we compared the diagnostic accuracy of different expertise levels (e.g., epileptologists, general neurologists, residents, medical students). Meta-analysis was performed to obtain pooled estimates of reliability measures.

RESULTS

From 5245 articles identified, 13 met the inclusion criteria, with cumulative data from 683 patients (696 videos) reviewed by 95 independent reviewers in primary analysis. Video alone had a strong ability to differentiate ES from NES as evidenced by the following metrics- area under the curve- 0.9 (considered "outstanding"), sensitivity- 82.2% (95% Confidence Interval [C.I], 80.2%-84.0%), specificity- 84.7% (C.I., 82.8%-86.5%), and diagnostic odds ratio- 24.7 (C.I., 11.5-52.9). The secondary analysis showed reviewer-dependent accuracy with epileptologists showing the highest accuracy (DOR 81.2, C.I., 90.0%-94.6%).

CONCLUSIONS

Video alone has reliable diagnostic performance for differentiating ES from NES. Meta-analysis limitations include inter-study heterogeneity including variable video quality and reviewer expertise. Combined video-EEG remains the gold standard for the diagnosis of epilepsy and NES.

Knowledge and emotional attitudes of health care practitioners regarding patients with psychogenic nonepileptic seizures

BACKGROUND

Psychogenic nonepileptic seizures (PNESs) are paroxysmal events that resemble epileptic seizures without concomitant changes in electroencephalograms (EEGs) or any other physiological cause. These seizures are one of the most common and dramatic conversion disorders. First responders treat many PNES patients with unnecessary emergency abortive medication and sometimes even intubate them. Several of our PNES patients have complained they have experienced harsh attitudes from health care practitioners (HCPs), especially during their stay in the emergency room (ER).

OBJECTIVE

To assess the emotional attitude of HCPs toward PNES patients.

METHODS

We handed a questionnaire containing 23 questions regarding PNES patients to HCPs from emergency medicine, internal medicine, and neurology disciplines. The questions dealt with three categories: diagnosis, management, and emotional attitudes.

RESULTS

Overall, 47 HCPs participated in this study: 11 ER, 18 internal medicine, and 18 neurology practitioners. The HCP from those disciplines showed high knowledge and good management practice of PNES patients. On the other hand, the HCPs agreed with most emotional attitude statements regarding PNES patients, reflecting a high percentage of negative emotional attitudes toward this group of patients. We did not find any correlation between negative emotional attitude and HCP department, profession, or seniority.

CONCLUSIONS

Although HCPs in our center perform good management practice regarding PNES patients, most reported a negative emotional attitude. This finding implies that what PNES patients feel regarding the harsh attitudes is also reflected by HCP views. Emotional attitudes towards PNES patients may not depend solely on the level of knowledge of the HCPs.

The utility of mobile telephone-recorded videos as adjuncts to the diagnosis of seizures and paroxysmal events in children with suspected epileptic seizures

BACKGROUND

Epilepsy is often diagnosed through clinical description, but inter-observer interpretations can be diverse and misleading.

OBJECTIVE

To assess the utility of smartphone videos in the diagnosis of paediatric epilepsy.

METHODS

The literature was reviewed for evidence to support the use of smartphone videos, inclusive of advantages, ethical practice and potential disadvantages. An existing adult-based quality of video (QOV) scoring tool was adapted for use in children. A pilot study used convenience sampling of videos from 25 patients, which were reviewed to assess the viability of the adapted QOV tool against the subsequent diagnosis for the patients with videos. The referral mechanism of the videos was reviewed for the source and consent processes followed.

RESULTS

A total of 14 studies were identified. Methodologies varied; only three focused on videos of children, and QOV was formally scored in three. Studies found that smartphone videos of good quality assisted the differentiation of epilepsy from non-epileptic events, especially with accompanying history and with more experienced clinicians. The ethics and risks of circulation of smartphone videos were briefly considered in a minority of the reports. The pilot study found that the adapted QOV tool correlated with videos of moderate and high quality and subsequent diagnostic closure.

CONCLUSIONS

Data relating to the role of smartphone video of events in children is lacking, especially from low- and middle-income settings. Guidelines for caregivers to acquire good-quality videos are not part of routine practice. The ethical implications of transfer of sensitive material have not been adequately addressed for this group. Prospective multicentre studies are needed to formally assess the viability of the adapted QOV tool for paediatric videos.

Quality of life for patients with psychogenic nonepilepsy seizures in comparison with age- and gender-matched patients with epilepsy - Cross-sectional study

AIMS

Patients with psychogenic nonepileptic seizures (PNES), and age- and gender-matched patients with epilepsy (PWE) who utilized an out-patient service were compared regarding quality of life (QoL) and self-reported symptoms of depression. Additionally, the impact of miscellaneous clinical variables including symptoms of depression on QoL in patients with PNES and PWE in real-world settings was assessed.

SUBJECTS AND METHODS

Adult patients who had a diagnosis of definite or documented PNES based on LaFrance's criteria (PNES group, n = 62), or of epilepsy based on results of clinical and EEG procedures (Epilepsy group, n = 61) were enrolled. To assess QoL and evaluate depression, the Quality of Life in Epilepsy Inventory-10 (QOLIE-10) and Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), respectively, were administered.

RESULTS

Comparisons between the groups revealed a shorter duration of illness and fewer number of attacks in patients with PNES as compared to the Epilepsy group (p < 0.0001; p = 0.0003, respectively). There was no significant difference between the groups revealed by the QOLIE-10 (p = 0.141), while the patients with PNES tended to have higher NDDI-E scores (p = 0.068). Multiple regression analysis of QOLIE-10 results in the PNES group revealed that NDDI-E score was the sole significant contributor (β = -0.425 p = 0.001). In contrast, NDDI-E score as well as attack frequency had a significant impact on QOLIE-10 results in the Epilepsy group (β = -0.283 p = 0.026; β = -0.272 p = 0.031, respectively).

CONCLUSION

In PWE and patients with PNES who utilized an out-patient service, QoL did not differ significantly between those groups. For treating PNES, psychosocial factors may be a more appropriate indicator of therapeutic goal than attack frequency.

Diagnosis and management of functional neurological disorder

Functional neurological disorder (FND), previously regarded as a diagnosis of exclusion, is now a rule-in diagnosis with available treatments. This represents a major step toward destigmatizing the disorder, which was often doubted and deemed untreatable. FND is prevalent, generally affecting young and middle aged adults, and can cause severe disability in some individuals. An early diagnosis, with subsequent access to evidence based rehabilitative and/or psychological treatments, can promote recovery-albeit not all patients respond to currently available treatments. This review presents the latest advances in the use of validated rule-in examination signs to guide diagnosis, and the range of therapeutic approaches available to care for patients with FND. The article focuses on the two most frequently identified subtypes of FND: motor (weakness and/or movement disorders) and seizure type symptoms. Twenty two studies on motor and 27 studies on seizure type symptoms report high specificities of clinical signs (64-100%), and individual signs are reviewed. Rehabilitative interventions (physical and occupational therapy) are treatments of choice for functional motor symptoms, while psychotherapy is an emerging evidence based treatment across FND subtypes. The literature to date highlights heterogeneity in responses to treatment, underscoring that more research is needed to individualize treatments and develop novel interventions.

Pitfalls using smartphones videos in diagnosing functional seizures

Expert review of seizure semiology looking at video recordings independent of EEG has been found to be useful for diagnosing functional seizures. Videos recorded outside the hospital containing "spells" have similar sensitivity to EEG when quality recordings are evaluated. Recently, smartphone videos were shown to serve as an adjunct to standard history and physical examination with similar diagnostic yields when compared to diagnostic video-EEG monitoring and reviewed by experts. However, caution must be exercised when interpreting videos of paroxysmal neurological events recorded by caregivers to ensure proper video quality is maintained and recorded event is representative. In this report, we present a case of initial identification of and event falsely suggesting functional seizures in a patient with epilepsy. The smartphone video of a "seizure" was recorded by his wife using her smartphone. Despite a quality recording and a history consistent with epilepsy, the smartphone video reviewed during evaluation in the clinic suggested a functional behavior in contrast to the history that suggested epilepsy manifest as convulsions. Instead of bilateral tonic-clonic motor movements, bizarre, intermittent non-clonic wild flinging movements and vocalization were identified on the smartphone video. The discordance between the clnical history and ideo prompted inpatient video-EEG monitoring. The same nonepileptic semiology was subsequently clarified to represent a physiological nonepileptic event. The event on the smartphone was typical of his agitated post-ictal state following an electroclinical tonic-clonic seizure. With treatment the seizures became controlled with antiseizure medication in long-term follow-up. We highlight the pitfalls using patient-recorded smartphone videos in patients diagnosed with epilepsy. Understanding the utility of smartphones as an adjunct to the clinical history will help in differentiating epileptic from functional seizures.

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 nonepileptic seizures treated as epileptic seizures in the emergency department

OBJECTIVES

We aimed to estimate the rate of psychogenic nonepileptic seizures (PNES) among patients presenting to an emergency department with presumed seizures. We also wanted to identify factors that can assist health care professionals in determining whether these events are likely to be epileptic or nonepileptic.

METHODS

We performed two retrospective audits on patients who were treated for seizures in the department of emergency medicine at the Princess Alexandra Hospital, Brisbane, Australia. Exploratory analyses and logistic regressions were conducted to investigate the characteristics of the presentations and the relationships between our variables of interest.

RESULTS

In the group of all presentations with presumed seizures over a 3-month period (n = 157), a total of 151 presentations (96.2%) presentations were given a primary diagnosis of epileptic seizures. Of these 151 presentations, only 84 (55.6%) presented with epileptic seizures and 40 (26.5%) actually presented with PNES. In the group of patients who presented with prolonged and/or multiple events (n = 213) over a 1-year period, 196 (92.0%) were treated as epileptic seizures. Of these 196 presentations, only 85 (43.4%) presented with epileptic seizures and 97 (49.5%) actually presented with PNES. Several factors were identified to help risk stratify between epileptic seizures and PNES: Duration of events and of the postictal phase, number of events, presence of a structural brain pathology, mental health history, lactate levels and presence of tongue bite, incontinence, and/or vomiting.

SIGNIFICANCE

A large proportion of people who present to emergency departments with events resembling epileptic seizures actually have PNES rather than epilepsy-particularly those patients who present with prolonged and/or multiple events. The rate of misdiagnosis was high. Efforts need to be made to recognize patients with psychogenic nonepileptic seizures earlier and diagnose them correctly to avoid unnecessary iatrogenic harm and to provide adequate treatment.

Recognition of Psychogenic Versus Epileptic Seizures Based on Videos

OBJECTIVE

Ictal semiology interpretation for differentiating psychogenic nonepileptic seizures (PNESs) and epileptic seizures (ESs) is important for the institution of appropriate treatment. Our objective was to assess the ability of different health care professionals (HCPs) or students to distinguish PNES from ES based on video-recorded seizure semiology.

METHODS

This study was designed following the Standards for Reporting of Diagnostic Accuracy Studies (STARD) guidelines. We showed in a random mix 36 videos of PNES or ES (18 each) and asked 558 participants to classify each seizure. The diagnostic accuracy of various groups of HCPs or students for PNES versus ES was assessed, as well as the effect of patient age and sex. Measures of diagnostic accuracy included sensitivity, specificity, and area under the curve (AUC).

RESULTS

The descending order of diagnostic accuracy (AUC) was the following (p ≤ 0.001): (1) neurologists and epileptologists; (2) neurology residents; (3) other specialists and nurses with experience in epilepsy; and (4) undergraduate medical students. Although there was a strong trend toward statistical difference, with AUC 95% confidence intervals (CIs) that were not overlapping, between epileptologists (95% CI 93, 97) compared to neurologists (95% CI 88, 91), and neurologists compared to electroencephalography technicians (95% CI 82, 87), multiple pairwise comparisons with the conservative Tukey-Kramer honest significant difference test revealed no statistical difference (p = 0.25 and 0.1, respectively). Patient age and sex did not have an effect on diagnostic accuracy in neurology specialists.

CONCLUSION

Visual recognition of PNES by HCPs or students varies overall proportionately with the level of expertise in the field of neurology/epilepsy.

Video quality using outpatient smartphone videos in epilepsy: Results from the OSmartViE study

BACKGROUND AND PURPOSE

The aim of this study was to evaluate the quality of smartphone videos (SVs) of neurologic events in adult epilepsy outpatients. The use of home video recording in patients with neurological disease states is increasing. Experts interpretation of outpatient smartphone videos of seizures and neurological events has demonstrated similar diagnostic accuracy to inpatient video-electroencephalography (EEG) monitoring.

METHODS

A prospective, multicenter cohort study was conducted to evaluate SV quality in patients with paroxysmal neurologic events from August 15, 2015 through August 31, 2018. Epileptic seizures (ESs), psychogenic nonepileptic attacks (PNEAs), and physiologic nonepileptic events (PhysNEEs) were confirmed by video-EEG monitoring. Experts and senior neurology residents blindly viewed cloud-based SVs without clinical information. Quality ratings with regard to technical and operator-driven metrics were provided in responses to a survey.

RESULTS

Forty-four patients (31 women, age 45.1 years [r = 20-82]) were included and 530 SVs were viewed by a mean of seven experts and six residents; one video per patient was reviewed for a mean of 133.8 s (r = 9-543). In all, 30 patients had PNEAs, 11 had ESs, and three had PhysNEEs. Quality was suitable in 70.8% of SVs (375/530 total views), with 36/44 (81.8%) patient SVs rated as adequate by the majority of reviewers. Accuracy improved with the presence of convulsive features from 72.4% to 98.2% in ESs and from 71.1% to 95.7% in PNEAs. An accurate diagnosis was given by all reviewers (100%) in 11/44 SVs (all PNEAs). Audio was rated as good by 86.2% of reviewers for these SVs compared with 75.4% for the remaining SVs (p = 0.01). Lighting was better in SVs associated with high accuracy (p = 0.06), but clarity was not (p = 0.59). Poor video quality yielded unknown diagnoses in 24.2% of the SVs reviewed. Features hindering diagnosis were limited interactivity, restricted field of view and short video duration.

CONCLUSIONS

Smartphone video quality is adequate for clinical interpretation in the majority of patients with paroxysmal neurologic events. Quality can be optimized by encouraging interactivity with the patient, adequate duration of the SV, and enlarged field of view during videography. Quality limitations were primarily operational though accuracy remained for SV review of ESs and PNEAs.

Clinical utility of home videos for diagnosing epileptic seizures: a systematic review and practical recommendations for optimal and safe recording

Background

The aim of the present systematic revision is to analyze existing published reports about the use of home-videos recordings (HVRs) to support physicians in the differential diagnosis of paroxysmal seizure-like episodes (PSLE). We also developed practical recommendations in order to ensure adequate quality standards and safety advice for HVRs.

Material and methods

A comprehensive search of PubMed, Medline, Scopus, and Google Scholar was performed, and results were included up to July 2020. All studies concerning the use of HVRs as a diagnostic tool for patients presenting PSLE were included.

Results

Seventeen studies satisfied all inclusion and exclusion criteria and were considered for the review. A consistent boost in diagnostic and clinical decision-making was reported across all studies in the literature. One study found that HVRs decreased the stress level in many families and improved their quality of life. Training in performing good-quality videos is necessary and increases the diagnostic value of HVRs.

Conclusions

HVRs can be of diagnostic value in epilepsy diagnosis and management. HVRs are low cost, widespread, and may provide great support for neurologists. It is important to train patients and caregivers in performing good quality videos to optimize this useful tool and to guarantee safety standards during the recording.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10072-021-05040-5.

Objective score from initial interview identifies patients with probable dissociative seizures

OBJECTIVE

To develop a Dissociative Seizures Likelihood Score (DSLS), which is a comprehensive, evidence-based tool using information available during the first outpatient visit to identify patients with "probable" dissociative seizures (DS) to allow early triage to more extensive diagnostic assessment.

METHODS

Based on data from 1616 patients with video-electroencephalography (vEEG) confirmed diagnoses, we compared the clinical history from a single neurology interview of patients in five mutually exclusive groups: epileptic seizures (ES), DS, physiologic nonepileptic seizure-like events (PSLE), mixed DS plus ES, and inconclusive monitoring. We used data-driven methods to determine the diagnostic utility of 76 features from retrospective chart review and applied this model to prospective interviews.

RESULTS

The DSLS using recursive feature elimination (RFE) correctly identified 77% (95% confidence interval (CI), 74-80%) of prospective patients with either ES or DS, with a sensitivity of 74% and specificity of 84%. This accuracy was not significantly inferior than neurologists' impression (84%, 95% CI: 80-88%) and the kappa between neurologists' and the DSLS was 21% (95% CI: 1-41%). Only 3% of patients with DS were missed by both the fellows and our score (95% CI 0-11%).

SIGNIFICANCE

The evidence-based DSLS establishes one method to reliably identify some patients with probable DS using clinical history. The DSLS supports and does not replace clinical decision making. While not all patients with DS can be identified by clinical history alone, these methods combined with clinical judgement could be used to identify patients who warrant further diagnostic assessment at a comprehensive epilepsy center.

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.

Welfare consequences for people diagnosed with nonepileptic seizures: A matched nationwide study in Denmark

OBJECTIVE

We aimed to evaluate the excess direct and indirect costs associated with nonepileptic seizures.

METHODS

From the Danish National Patient Registry (2011-2016), we identified 1057 people of any age with a diagnosis of psychogenic nonepileptic seizures (PNESs) and matched them with 2113 control individuals. Additionally, 239 partners of patients with PNES aged ≥18 years were identified and compared with 471 control partners. Direct costs included frequencies and costs of hospitalizations and outpatient use weighted by diagnosis-related group, and specific outpatient costs based on data from the Danish Ministry of Health. The use and costs of drugs were based on data from the Danish Medicines Agency. The frequencies of visits and hospitalizations and costs of general practice were derived from National Health Security data. Indirect costs included labor supply-based income data, and all social transfer payments were obtained from Coherent Social Statistics.

RESULTS

A higher percentage of people with PNES and their partners compared with respective control subjects received welfare benefits (sick pay, disability pension, home care). Those with PNES had a lower employment rate than did controls for equivalent periods up to three years before the diagnosis was made. The additional direct and indirect annual costs for those aged ≥18 years, including transfers to patients with PNES, compared with controls, were €33,697 for people with PNES and €15,121 for their partners.

SIGNIFICANCE

Psychogenic nonepileptic seizures have substantial socioeconomic consequences for individual patients, their partners, and society.

Hiding in Plain Sight: Functional Neurological Disorders in the News

OBJECTIVE

Functional movement and seizure disorders are still widely misunderstood and receive little public and academic attention. This is in stark contrast to their high prevalence and levels of associated disability. In an exploratory observational study, the authors examined whether the relative lack of media coverage of functional neurological disorders is in part due to misidentification in "human interest" news stories.

METHODS

Thirteen recent news stories from high-impact English-language media outlets that portrayed patients with complex symptoms either attributed to other diagnoses or presented as medical mysteries were identified using online keyword searches. All selected news stories contained video or still images displaying relevant symptoms. Cases were categorized into movement disorders or seizure disorders and were then independently assessed by 10 respective expert raters. For each category, one story of a patient whose symptoms were due to a well-recognized neurological disease was also included. Both the diagnostic category and the respective confidence level were reported by each rater for each case. The interrater agreement was calculated for each group of disorders.

RESULTS

The raters confirmed almost unanimously that all presented news stories except the negative control cases portrayed misidentified functional movement or seizure disorders. The interrater agreement and average diagnostic confidence were high.

CONCLUSIONS

Functional neurological disorders are often wrongly considered a rare medical curiosity of the past. However, these findings suggest that, while they are largely absent from public discourse, they often appear in the news incognito, hiding in plain sight.

Emergency hospital care for adults with suspected seizures in the NHS in England 2007-2013: a cross-sectional study

AIMS

To quantify the frequency, characteristics, geographical variation and costs of emergency hospital care for suspected seizures.

DESIGN

Cross-sectional study using routinely collected data (Hospital Episode Statistics).

SETTING

The National Health Service in England 2007-2013.

PARTICIPANTS

Adults who attended an emergency department (ED) or were admitted to hospital.

RESULTS

In England (population 2011: 53.11 million, 41.77 million adults), suspected seizures gave rise to 50 111 unscheduled admissions per year among adults (≥18 years). This is 47.1% of unscheduled admissions for neurological conditions and 0.71% of all unscheduled admissions. Only a small proportion of admissions for suspected seizures were coded as status epilepticus (3.5%) and there were a very small number of dissociative (non-epileptic) seizures. The median length of stay for each admission was 1 day, the median cost for each admission was £1651 ($2175) and the total cost of all admissions for suspected seizures in England was £88.2 million ($116.2 million) per year. 16.8% of patients had more than one admission per year. There was significant geographical variability in the rate of admissions corrected for population age and gender differences and some areas had rates of admission which were consistently higher than the average.

CONCLUSIONS

Our data show that suspected seizures are the most common neurological cause of admissions to hospital in England, that readmissions are common and that there is significant geographical variability in admission rates. This variability has not previously been reported in the published literature. The cause of the geographical variation is unknown; important factors are likely to include prevalence, deprivation and clinical practice and these require further investigation. Dissociative seizures are not adequately diagnosed during ED attendances and hospital admissions.

The first seizure as an indicator of epilepsy

PURPOSE OF REVIEW

Optimal treatment of a possible first seizure depends on the determination if the paroxysmal event was an epileptic seizure and was on an accurate assessment of the recurrence risk. This review summarizes evidence from the last 5 years addressing the following questions: Is it an epileptic seizure? Is it a first seizure? When does a first seizure indicate epilepsy?

RECENT FINDINGS

The acts of taking and interpreting the history from patients and witnesses continue to be the most important tools in the diagnosis of first seizures. Assessment tools based on factual questions and the observation of patients' conversational behaviour can contribute to the differentiation of patients with epileptic seizures from those who have experienced other types of transient loss of consciousness (TLOC). At present, only about 40% of patients are seen after their very first seizure. Tests have a limited role in the initial diagnosis of a seizure but help to determine the recurrence risk based on the cause. A remote symptomatic cause and detection of epileptiform discharges are associated with a recurrence risk of at least 60% and allow a diagnosis of epilepsy after a first seizure. The risk of recurrence after an acute symptomatic first seizure is well below 60%.

SUMMARY

Expert history-taking continues to be the most important tool in the diagnosis of a first seizure. Cause is the most important determinant of the recurrence risk. Unfortunately, there is currently no formula enabling a precise calculation of an individualized recurrence risk.