Psychogenic Seizures Research Articles

When the Brain and the Heart Collide: A Complex Diagnostic and Management Dilemma of Coexisting Psychogenic Nonepileptic Seizures and Takotsubo Cardiomyopathy - A Case Report

Epilepsy is a prevalent neurological disorder affecting around one percent of the global population. Accurate diagnosis is paramount for effective treatment, but challenging-to-diagnose seizures require a comprehensive evaluation to exclude other conditions. Psychogenic nonepileptic seizures (PNES) or pseudoseizures are sudden episodes resembling epileptic seizures, but not arising from abnormal cerebral electrical activity. PNES are often misdiagnosed as epilepsy, leading to delayed appropriate psychological therapy and unwarranted antiepileptic medication use. We report a unique case of a patient initially diagnosed and treated as epilepsy, who was later diagnosed with PNES during hospitalization. Additionally, the patient presented Takotsubo cardiomyopathy (TCM), a rare stress-induced cardiomyopathy, posing a diagnostic and management challenge alongside PNES. To the best of our knowledge, this is the first case of coexisting PNES and TCM, which warrants further investigation.

Classification of Epileptic and Psychogenic Non-Epileptic Seizures Using Electroencephalography and Electrocardiography.

Patients with psychogenic non-epileptic seizures (PNES) may exhibit similar clinical features to patients with epileptic seizures (ES). Misdiagnosis of PNES and ES can lead to inappropriate treatment and significant morbidity. This study investigates the use of machine learning techniques for classification of PNES and ES based on electroencephalography (EEG) and electrocardiography (ECG) data. Video-EEG-ECG of 150 ES events from 16 patients and 96 PNES from 10 patients were analysed. Four preictal periods (time before event onset) in EEG and ECG data were selected for each PNES and ES event (60-45 min, 45-30 min, 30-15 min, 15-0 min). Time-domain features were extracted from each preictal data segment in 17 EEG channels and 1 ECG channel. The classification performance using k-nearest neighbour, decision tree, random forest, naive Bayes, and support vector machine classifiers were evaluated. The results showed the highest classification accuracy was 87.83% using the random forest on 15-0 min preictal period of EEG and ECG data. The performance was significantly higher using 15-0 min preictal period data than 30-15 min, 45-30 min, and 60-45 min preictal periods ( [Formula: see text]). The classification accuracy was improved from 86.37% to 87.83% by combining ECG data with EEG data ( [Formula: see text]). The study provided an automated classification algorithm for PNES and ES events using machine learning techniques on preictal EEG and ECG data.

Diagnosis of Epilepsy: Clinical Definition, Seizure Semiology, and Differentiation from Acute Symptomatic Seizure(Provoked Seizure)

Recently, a practical clinical definition has been proposed by the International League Against Epilepsy(ILAE). Management of an unprovoked first seizure in adults has also been reported with risk factors of recurrence relevant to epilepsy diagnosis by the American Academy of Neurology. The term "unprovoked" implies the absence of a temporary or reversible factor lowering the threshold and producing a seizure at that point in time. A seizure immediately after a stroke or head injury would exemplify a provoked seizure, as called acute symptomatic(or early)seizure, that would not lead to a diagnosis of epilepsy. The underlying mechanisms that cause the early seizure are considered to be different from those of epileptogenesis associated with recurrent epileptic seizures. Psychogenic non-epileptic seizure(PNES)or syncope resembles epileptic seizures and are often misdiagnosed. Some clinical features can help distinguish PNES or syncope from epileptic seizure. Clinicians should be familiarized with seizure semiology presumable to epilepsy. The incidence of epilepsy increases steadily after 50 years of age. As in younger people, the diagnosis of epilepsy is a clinical decision; however, in older people this can be more challenging. Many disorders, common in older people may confuse epilepsy seizures which should be differentiated by appropriate investigations.

Impact of comorbid psychogenic non-epileptic seizures on migraine: An observational study.

There is a bidirectional and complex interplay between psychiatric comorbidities and migraine. Migraine has been observed in 50-60% of patients with psychogenic non-epileptic seizures (PNES). Studies describe migraine as a medical comorbidity in PNES. However, there are limited studies on impact of PNES on migraine. We aim to see the impact of PNES on migraine. This cross-sectional and observational study was conducted at a tertiary-care center from June 2017 to May 2019. Fifty-two patients with migraine with PNES and 48 patients with migraine without PNES were included on the study. Migraine and PNES were diagnosed based on International Classification of Headache Disorders-3 (ICHD-3) and International League Against Epilepsy (ILAE) criteria, respectively. Headache intensity was assessed using visual analog scale. Comorbid depression, anxiety, and somatoform-symptom-disease were assessed using the Generalized Anxiety Disorder-7 Scale, Patient Health Questionnaire-9, and DSM-5 criteria, respectively. Females were common in both groups and the difference was statistically insignificant. Headache frequency was significantly more in patients with migraine with PNES (P < 0.05). However, headache intensity was similar in both groups. Patients with headaches and PNES identified triggers less commonly except for stress. Depression and somatoform symptom disorder were significantly more common in patients with migraine with PNES. Abnormal neurocircuitry involving frontal, limbic, and thalamic regions due to comorbid PNES may cause central sensitization, resulting in frequent migraine headaches which is further augmented by coexisting depression and somatoform-symptom-disease. Migraine with PNES patients suffers more frequent headaches than patients with migraine without PNES. They differ in various headache triggers, with mental stress being the predominant trigger.

Psychogenic non-epileptic seizures in youth: Individual and family psychiatric characteristics.

Youth with psychogenic non-epileptic seizures (PNES) are an understudied group associated with significant medical and psychiatric morbidity. Several studies have examined characteristics associated with youth's development of this disorder, though the exploration of family factors including psychiatric illness, has been lacking. This study sought to establish the need for a more comprehensive future study. A retrospective chart review was conducted on patients who had been admitted and diagnosed with PNES at the epilepsy monitoring unit at Children's Hospitals and Clinics of Minnesota. A total of 62 patients were included. All patients were evaluated by an epileptologist and psychologist during their diagnostic admission. "Spells" in question were captured via video EEG monitoring. PNES youth and family risk factors were assessed. Mean age of PNES symptom onset was 13.9 years. Patients (73%) were diagnosed within 6 months of onset of symptoms. Histories of other impairing somatic complaints were present in the youth (54%), with 67% having prior psychiatric diagnoses. Experiencing suicidal ideation or thoughts of self-harm occurred in 47% of this sample. Family members were unaware of the history of these symptoms with 12% of the parent's reporting awareness. Family history of psychiatric disorders (first-degree relatives of patient) was present in 54% of the sample, with anxiety, depression and conversion disorder being the most commonly endorsed diagnoses. Youth with PNES present with comorbid psychiatric disorders, though prior assessment and treatment for these disorders was not common. Youth with PNES have history of suicidal ideation and thoughts of self-harm, though parental awareness of these co-occurring symptoms is limited. Family risk factors, such as history of psychiatric disorder in first degree relatives, was high. The impact of these family risk factors is understudied and should be further evaluated to better understand the impact on development and maintenance of this disorder in youth.

Structural Changes in Brain Magnetic Resonance Imaging Associated With Psychogenic Non-epileptic Seizures: An Analytical Cross-Sectional Study.

Background Psychogenic non-epileptic seizures (PNES) are often seen as indicators of poor motor and sensory function caused by psychological responses to stressful experiences. A seizure might trigger these reactions. The aim of our study was to assess the structural changes in brain MRI associated with psychogenic non-epileptic seizures. Methodology A retrospective analytical cross-sectional study at the Department of Medicine and Neurology, Ayub Teaching Hospital, Abbottabad, was conducted from October 2020 to September 2021. The medical records of patients with confirmed PNES were collected and retrospectively evaluated. Results Medical records and MRI scans were accessible for 52 patients with PNES; 10 patients were excluded from the study. The average age of the patients (standard deviation) was 34 (±9) years, and the average age at onset was 31.6 (±5.8) years. Based on the video-EEG recordings, 57.1% of patients (n=24) were classified as having broadly generalized motor seizures, 40% of patients (n=17) were classified as having predominantly akinetic seizures defined primarily by blank spells, and only one patient was classified as having focal motor seizures. Only three patients (7%) had a positive epilepsy family history. Twenty-four (47.6%) patients with brain MRI scans reported abnormal findings, while 22 (52.4%) had normal MRI findings. The majority of patients with abnormal MRIs had nonspecific white matter changes (50%), mesial temporal sclerosis (15%), and cysts (15%). In a statistical analysis, age at the beginning of PNES (p = 0.04), duration of PNES (p=0.01), concomitant epilepsy (p = 0.05), generalized motor seizures (p= 0.03), and focal motor seizures (p= 0.02) were strongly associated with abnormal brain MRI findings. Conclusion Research reveals that persons with PNES have a higher-than-average prevalence of anatomical brain abnormalities. The main takeaway is that these findings lend credence to the growing body of data suggesting that PNES may not be a medical mystery but rather a disorder with physical foundations in the brain. Important implications for diagnosing and treating PNES patients are discussed, as are the outcomes of earlier neuroimaging investigations of PNES. Studying the involvement of structural brain anomalies in the etiology of psychogenic non-epileptic seizures requires further well-designed multicenter studies with larger sample sizes and a consistent imaging approach (PNES). It is crucial to consider any confounding variables, such as co-occurring mental diseases, while designing this study.

Development of a core outcome set for quality of life for adults with drug-resistant epilepsy: A multistakeholder Delphi consensus study.

In 2017, the American Academy of Neurology (AAN) convened the AAN Quality Measurement Set working group to define the improvement and maintenance of quality of life (QOL) as a key outcome measure in epilepsy clinical practice. A core outcome set (COS), defined as an accepted, standardized set of outcomes that should be minimally measured and reported in an area of health care research and practice, has not previously been defined for QOL in adult epilepsy. A cross-sectional Delphi consensus study was employed to attain consensus from patients and caregivers on the QOL outcomes that should be minimally measured and reported in epilepsy clinical practice. Candidate items were compiled from QOL scales recommended by the AAN 2017 Quality Measurement Set. Inclusion criteria to participate in the Delphi study were adults with drug-resistant epilepsy diagnosed by a physician, no prior diagnosis of psychogenic nonepileptic seizures or a cognitive and/or developmental disability, or caregivers of patients meeting these criteria. A total of 109 people satisfied inclusion/exclusion criteria and took part in Delphi Round 1 (patients, n= 95, 87.2%; caregivers, n= 14, 12.8%), and 55 people from Round 1 completed Round 2 (patients, n= 43, 78.2%; caregivers, n= 12, 21.8%). One hundred three people took part in the final consensus round. Consensus was attained by patients/caregivers on a set of 36 outcomes that should minimally be included in the QOL COS. Of these, 32 of the 36 outcomes (88.8%) pertained to areas outside of seizure frequency and severity. Using patient-centered Delphi methodology, this study defines the first COS for QOL measurement in clinical practice for adults with drug-resistant epilepsy. This set highlights the diversity of factors beyond seizure frequency and severity that impact QOL in epilepsy.

Functional/dissociative seizures: Review of its relationship with trauma, dissociation and the neurobiological underpinnings

Functional dissociative seizures (FDS) are paroxysmal and episodic events associated with motor, sensory, mental, or autonomic manifestations, which resemble epileptic seizures but are not caused by epileptogenic activity. FDSs affect approximately 30% of patients attending specialized epilepsy centers and constitute a severe mental health problem. Patients with FDSs also have a high frequency of other psychiatric comorbidities like depression and anxiety disorders, particularly trauma and post-traumatic stress disorder. It has been postulated that FDSs are essentially dissociations that operate as an evitative psychological mechanism to deal with traumas. In this manuscript, we carried out a state-of-the-art review to provide a critical approach to the extensive literature about FDS, focusing on the relationship with trauma, post-traumatic stress disorder, dissociation, and the neurobiology of these phenomena. • Functional/dissociative seizures (FDS) are commonly related to trauma and dissociation. • Trauma might play an etiological role in FDS, at least in some groups of patients. • Few authors studied the neurobiology of FDS, trauma and dissociation. • The neurobiological aspects of these health issues are still under discussion. • The over-modulation of the amygdala might explain the dissociation of these patients.

Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects.

Identifying subjects with epileptic seizures or psychogenic non-epileptic seizures from healthy subjects via interictal EEG analysis can be a very challenging issue. Indeed, at visual inspection, EEG can be normal in both cases. This paper proposes an automatic diagnosis approach based on deep learning to differentiate three classes: subjects with epileptic seizures (ES), subjects with non-epileptic psychogenic seizures (PNES) and control subjects (CS), analyzed by non-invasive low-density interictal scalp EEG recordings. The EEGs of 42 patients with new-onset ES, 42 patients with PNES video recorded and 19 patients with CS all with normal interictal EEG on visual inspection, were analyzed in the study; none of them was taking psychotropic drugs before registration. The processing pipeline applies empirical mode decomposition (EMD) to 5s EEG segments of 19 channels in order to extract enhanced features learned automatically from the customized convolutional neural network (CNN). The resulting CNN has been shown to perform well during classification, with an accuracy of 85.7%; these results encourage the use of deep processing systems to assist clinicians in difficult clinical settings.

Performance of the GAD-7 in adults with dissociative seizures

PurposeLittle is known about the accuracy of the GAD-7, a self-report anxiety measure, in detecting generalised anxiety disorder (GAD) in people with dissociative seizures (DS). We evaluated the reliability, validity and uniformity of the GAD-7 using a diagnosis of GAD on the Mini-International Neuropsychiatric Interview as a reference. MethodsWe assessed 368 adults with DS at the pre-randomisation phase of the CODES trial. Factor analysis for categorical data assessed GAD-7 uniformity. Diagnostic accuracy was assessed by estimating the area under the curve (AUC). We evaluated discriminant validity, reviewed data on convergent validity and calculated internal consistency. We explored correlations between GAD-7 scores and monthly DS frequency, frequency of severe seizures and measures of behavioural and emotional avoidance. ResultsInternal consistency of the GAD-7 was high (α = 0.92). Factor analysis elicited one main factor and general measurement invariance. Diagnostic accuracy was fair (AUC = 0.72) but the best balance of sensitivity and specificity occurred at a cut-off of ≥12 and still had a specificity rate of only 68%. Discriminant and convergent validity were good. GAD-7 scores correlated positively with DS frequency, severe seizure frequency, behavioural and emotional avoidance (all p < 0.001). ConclusionFindings regarding internal consistency and factor structure parallel previous psychometric evaluations of the GAD-7. Correlations between GAD-7 scores and DS occurrence/severity and avoidance are evidence of the concept validity of GAD-7 and provide further support for a fear-avoidance treatment model for DS. However, the utility of the GAD-7 as a diagnostic instrument for generalised anxiety disorder is limited in patients with DS.

Attachment style of patients diagnosed with psychogenic non-epileptic seizures at a tertiary Epilepsy Center in the Czech Republic.

Quality and type of early relationships with primary caregivers is considered one of the key factors in the etiopathogenesis of many mental disorders including depression, anxiety, and conversion disorders. This study focused on the type and quality of attachment style in adult patients with psychogenic non-epileptic seizures (PNES). We evaluated the demographic data and profiles of PNES patients (n = 262) and group of healthy volunteers (n = 51) measured by the Parental Bonding Inventory (PBI) and Experiences in Close Relationships (ECR) and Experiences in Close Relationships-Relationship Structure (ECR-RS). Significant differences in measured values between the two groups were identified; specifically, differences in the caregiver style-father and mother overprotection (PBI) was higher in the PNES group. The most frequent type of attachment in PNES was type 2 (preoccupied). Correlations between the PBI and ECR results were also found. This study highlighted certain attachment styles in patients with PNES and statistically significant differences between patients with PNES and a healthy sample. Some correlations between the results of the questionnaires with socio-demographic factors were found. The identification of specific patterns in attachment may be useful for further use in reaching a differential diagnosis and administering tailored psychotherapy of patients with PNES.

Teaching distinguishing semiological features improves diagnostic accuracy of seizure-like events by emergency physicians

BackgroundMisdiagnosis of seizure-like events (SLE) in emergency situations is common. Here, we evaluate whether a single, video-based lesson highlighting distinguishing semiological features can improve the diagnostic accuracy of emergency physicians for epileptic seizures (ES), psychogenic non-epileptic seizures (PNES) and syncopes (SY).Methods40 emergency physicians (24 anesthetists, nine surgeons and seven internal medicine specialists by primary specialty) participated in a prospective trial on the diagnostic accuracy of SLE. They assessed video-displayed SLE at two time points: before and after a lecture on distinguishing semiological features. In the lecture, semiological features were demonstrated using patient videos, some were acted by the instructor in addition. The increase in correct diagnoses and recognition of distinguishing semiological features were analyzed.ResultsBefore the lesson, 45% of 200 SLE-ratings were correct: 15% of SY (n = 40), 30% of PNES (n = 40), 59% of ES (n = 120, focal to bilateral tonic–clonic seizures (FBTCS) 87.5% (n = 40), focal impaired aware seizures (FIAS) 45% (n = 80)). Semiology teaching increased both the rate of correct diagnoses of SLE to overall 79% (p < 0.001) (ES 91% (p < 0.001), FBCTS 98% (n.s.), FIAS 88% (p < 0.001), PNES 88% (p < 0.001), SY 35% (p < 0.001)), and the number of recognized distinguishing semiological features. We identified several semiological features with high entity specific positive predictive values (> 0.8).ConclusionsA single 45-min video-based lesson highlighting distinguishing semiological features improves the diagnostic accuracy of ES, PNES and SY by emergency physicians. We expect that including this aspect into the curriculum of emergency physicians will lead to better individual patient treatment in pre-hospital medicine and more appropriate subsequent use of clinical resources.

Interobserver reliability of a recently proposed semiological classification in psychogenic nonepileptic seizures in children

BackgroundThe aim of this study is to examine the semiological features of Psychogenic Nonepileptic Seizures (PNES) in children and to evaluate interobserver reliability (IR) of two different classifications. to identify the sources of any variance in agreement and to estimate the IR of the classification systems MethodsSemiological features of 137 pediatric patients with PNES with and without epilepsy were analyzed. Two different, blinded observers evaluated these semiological features according to A. Asadi-Pooya and Seneviratne et al. classifications. The interobserver reliability was measured using a kappa (κ) coefficient for each PNES classification. ResultsThe mean age of patients with PNES was 14.3 (SD: 2.9) years. Ninety five patients were female (69.3 %), 42 were male (30.6 %). Ictal eye closure (n:109, 79.5 %), was the most common seizure semiology. Asymmetric limb movements (n: 71, 51.8 %), motor phenomenon lasting> two minutes (n:69, 50.3 %), and closed mouth (n:53, 38.6 %) were other common seizure semiologies of PNES. Kappa value was higher in A. Asadi-Pooya classification than Seneviratne classification (k = 0.697 and k = 0.433; p < 0.05). Kappa values were higher in the motor and non-motor categories of A. Asadi-Pooya classification than in the mixed category (k = 0.713, k = 0.799 and k = 0.455; p < 0.05). ConclusionThe added value of the new classification scheme with respect to uniform application by experienced pediatric neurologists seems to be reliable and influential, as interobserver reliability of the new classification system was higher than the early classification. Our findings suggest that a simple but comprehensive classification would be useful in the management of PNES.

Anti-leucine-rich glioma-inactivated 1 encephalitis: two case reports and a review of the literature

BackgroundAnti-leucine-rich glioma-inactivated 1 encephalitis is a newly emerged entity characterized by frequent faciobrachial dystonic seizures and a wide spectrum of subacute clinical symptoms such as other seizure types, mood and behavioral changes, and memory loss. We should be aware of differentiating this diagnosis from psychogenic nonepileptic seizures. Mesial temporal, limbic structures, and basal ganglia are the most commonly involved regions.Case presentationHere we review the available data, and report on two young Iranian (White) females, 24 and 18 years old, who represent distinct aspects of the disease. The clinical presentation and degree of tissue involvement varies to some extent in the two reported cases. Case 1 had prominent neuropsychiatric symptoms and suffered from frequent faciobrachial dystonic seizures with more significant basal ganglia involvement, whereas case 2 suffered from severe memory decline and dialeptic seizures along with mesial temporal involvement. Symptoms were refractory to usual treatment and prompt immunotherapy was needed.ConclusionsThis disease has a rather favorable outcome provided that treatment is initiated early. However, resistance to first-line treatment, relapses, and long-term complications highlight the need to establish reliable biomarkers to distinguish different subtypes of this disorder to predict the clinical outcome and prognosis, and to refine management.

Childhood trauma in patients with epileptic vs nonepileptic seizures.

Childhood trauma has been implicated as a risk factor for the etiology of psychogenic nonepileptic seizures (PNES). Relatively little attention has been paid to whether profiles of specific trauma types differ between patients with epilepsy and PNES. Investigating childhood trauma profiles in these patient groups may identify psychological vulnerabilities that predispose to developing PNES, and aid early diagnoses, prevention, and treatment. Data were collected from two cohorts (nRetrospective =203; nProspective =209) admitted to video-electroencephalography (EEG) monitoring units in Melbourne Australia. The differences in Childhood Trauma Questionnaire domain score between patient groups were investigated using standardized effect sizes and general linear mixed-effects models (GLMMs). Receiver-operating characteristic curves were used to investigate classification accuracy. In the retrospective cohort, patients diagnosed with PNES reported greater childhood emotional abuse, emotional neglect, physical abuse, sexual abuse, and physical neglect relative to patients with epilepsy. These differences were replicated in the prospective cohort, except for physical abuse. GLMMs revealed significant main effects for group in both cohorts, but no evidence for any group by domain interactions. Reported sexual abuse showed the best screening performance of PNES, although no psychometric scores were adequate as isolated measures. Patients with PNES report a greater frequency of childhood trauma than patients with epilepsy. This effect appears to hold across all trauma types, with no strong evidence emerging for a particular trauma type that is more prevalent in PNES. From a practical perspective, inquiry regarding a history of sexual abuse shows the most promise as a screening measure.

Psychological trauma, mood and social isolation do not explain elevated dissociation in functional neurological disorder (FND)

Functional Neurological Disorder (FND) results in altered motor, sensory and cognitive function in the absence of evident organic disease. It often co-occurs alongside dissociative disorders and dissociation has been found to be high in patients across FND subtypes (particularly in those with Non-Epileptic Attack Disorder; NEADs). However, the presence of dissociation in FND is varied and there are contradictory definitions and suggestions for elevated levels. Here, three studies show that dissociation is a prominent, defining feature of people with FND compared to those who are healthy or have other, similar long-term health conditions, and that this heightened dissociation is not explained by a history of trauma (study 1, N = 121), mood (study 2, N = 589) and is not associated with social isolation/social exclusion (study 3, N = 542). As dissociation appeared to occur in FND in the absence of the usual contributing factors, and as higher levels of dissociation were associated with increased disability and illness impacts, understanding its role is of fundamental importance to developing our understanding of FND. These findings have further applications, beyond the theoretical, in clinical settings and in research; the implications for further research are discussed.

Frequency and economic burden of psychogenic non-epileptic seizures in patients applying for disability benefits due to epilepsy.

Psychogenic non-epileptic seizures (PNES) resemble epileptic seizures and are often misdiagnosed as epilepsy. To investigate the frequency of PNES and to calculate the economic burden of the patients who admitted to video-electroencephalographicmonitoring (VEM) to obtain a diagnosis of epilepsy in order to apply for disability retirement. The present retrospective study included 134 patients who required disability reports between 2013 and 2019 and had their definite diagnoses after VEM. Following VEM, the patients were divided into three groups: epilepsy, PNES, and epilepsy + PNES. In total, 22.4% (n = 30) of the patients were diagnosed with PNES, 21.6% (n = 29) with PNES and epilepsy, and 56% (n = 75), with epilepsy. The frequency of PNES among all patients was of 44% (n = 59). In patients with PNES alone, the annual cost of using anti-seizure medication was of 160.67 ± 94.04 dollars; for psychostimulant drugs, it was of 148.3 ± 72.48 dollars a year; and the mean direct cost for diagnostic procedures was of 582.9 ± 330.0 (range: 103.52-1601.3) dollars. Although it is challenging to determine the qualitative and quantitative total cost in these patient groups, early diagnosis and sociopsychological support will reduce the additional financial burden on the health system and increase the quality of life of the patients.

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

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). To assess the emotional attitude of HCPs toward PNES patients. 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. 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. 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.

Emergency medical care of patients with psychiatric disorders - challenges and opportunities: Results of a multicenter survey

BackgroundPre-clinical psychiatric emergencies are generally treated by emergency medical staff. The subsequent clinical treatment is often conditioned by interaction problems between emergency medical staff and psychiatric clinical staff.ObjectivesTo identify problems affecting interaction between emergency medical and psychiatric care of mentally ill patients and pinpoint aspects of optimized emergency care.MethodsTo shed light on the interaction problems an anonymous, questionnaire-based, nonrepresentative survey of 98 emergency physicians (EM) and 104 psychiatrists (PS) practicing in acute psychiatry was conducted between March 1, 2021 and October 1, 2021.ResultsThe chi-square test for multiple response sets revealed consistently significant differences (p < 0.001) between EM and PS with respect to the questions analyzed. Approximately 36% of EM reported not to be adequately qualified to handle psychiatric emergencies (p = 0.0001), while around 50% of respondents were neutral in their assessment in how to deal with psychiatric emergencies. 80% of EM reported a negative interaction (rejection of patients) with PS when referring a psychiatric emergency patient to the acute psychiatric unit. The most common reasons for refusal were intoxication (EM: 78.8%, PS: 88.2%), emergency physician therapy (EM: 53.8%, PS: 63.5%), and not resident in the catchment area of the hospital (EM 68.8%, PS: 48.2%). In the casuistry presented, most respondents would choose “talk down” for de-escalation (EM: 92.1%, PS: 91.3%). With respect to drug therapy, benzodiazepine is the drug of choice (EM: 70.4%, PS: 78.8%). More EM would choose an intravenously (i.v.) or a Mucosal Atomization Device (MAD) administration as an alternative to oral medication (i.v.: EM: 38.8%, PS: 3.8%, p = 0.001, MAD: EM: 36.7%, PS: 10.6%, p = 0.006). Significantly more EM would seek phone contact with the acute psychiatric hospital (EM: 84.7%, PS: 52.9%, p = 0.0107). A psychiatric emergency plan was considered useful in this context by more than 90% of respondents. The need for further training for EM with regard to treating psychiatric clinical syndromes was considered important by all respondents. In particular, the topics of “psychogenic seizure,“ “intoxication,“ and “legal aspects of psychiatric emergencies” were considered important (Mann-Whitney U test, p < 0.001).ConclusionThe interaction-related problems identified in the emergency medical care of pre-clinical psychiatric patients relate to non-modifiable, structural problems, such as insufficient admission capacity and non-existent or inadequate monitoring capabilities in acute psychiatric hospitals. However, factors such as the education and training of EM and communication between EM and PS can be improved. Developing personalized emergency care plans for psychiatric patients could help to optimize their care.

Self-Reported Severity and Causes of Traumatic Brain Injury in Patients With Epileptic or Functional Seizures.

Although moderate and severe traumatic brain injury (TBI) can cause posttraumatic epilepsy (PTE), many patients with functional seizures (FS) also report a history of mild TBI. To determine whether features of TBI history differ between patients with epileptic seizures (ES) and FS, we compared patient reports of TBI severity, symptoms, and causes of injury. We recruited patients undergoing video-EEG evaluation for the diagnosis of ES, FS, mixed ES and FS, or physiologic seizure-like events at an academic, tertiary referral center. Patients and their caregivers were interviewed before final video-EEG diagnosis regarding their TBI histories, including concussive symptoms and causes of injury. Of 506 patients, a greater percentage of patients with FS reported a history of TBI than patients with ES (70% vs 59%, aOR = 1.75 [95% CI: 1.00-3.05], p = 0.047). TBI with loss of consciousness (LOC) lasting less than 30 minutes was more frequently reported among patients with FS than with ES (27% vs 13%, aOR = 2.38 [1.26-4.47], p < 0.01). The proportion of patients reporting other neurologic symptoms immediately after TBI was not significantly different between FS and ES (40% vs 29%, p = 0.08). Causes of TBI were found to differ, with TBIs caused by falls from a height (17% vs 10%, aOR = 2.24 [1.06-4.70], p = 0.03) or motor vehicle collisions (27% vs 11%, aOR = 2.96 [1.54-5.67], p < 0.01) reported more frequently in FS than ES. Our findings further the association of mild TBI with FS and prompt reconsideration of typical assumptions regarding the significance of a reported TBI history in patients with previously undifferentiated seizures. Although common in both groups, TBI with LOC less than 30 minutes and causes of injury that are commonly believed to be more severe were reported more frequently in FS than ES. This suggests that a patient or caregiver reporting of these features does not imply that PTE is a more probable diagnosis than FS. Although a history of TBI with LOC and presumed high-risk causes of injury intuitively raises suspicion for PTE, clinicians should be cautioned that these historical factors also were a frequent finding in patients with FS.