Psychiatric comorbidities in patients with psychogenic nonepileptic seizures

Depression, anxiety, stress, and suicide risk in patients with functional seizures vs. those with epilepsy

BACKGROUND

We aimed to investigate the rates of positive screening for depression, anxiety, stress, and suicide risk in adults with seizures [i.e., well-matched groups of patients with focal epilepsy vs. idiopathic generalized epilepsy (IGE) vs. functional seizures (FS)].

METHODS

This was a cross sectional study. Patients, 19-55 years of age, with a diagnosis of IGE, focal epilepsy or FS were investigated at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Shiraz, Iran, from September 2022 until January 2023 and during their follow-up visits. We used the validated Farsi version of DASS-21 (Depression-Anxiety-Stress Scale) to investigate and screen for depression, anxiety, and stress in these patients. We also used the Beck Scale for Suicide Ideation (BSSI).

RESULTS

Forty patients with focal epilepsy, 40 persons with IGE, and 40 individuals with FS were included. Depression and anxiety were more prevalent among patients with FS compared with those with epilepsy. The rate of stress among patients with FS was not significantly different compared with that in patients with epilepsy. The suicide risks were not significantly different between the groups either.

CONCLUSION

Patients with FS are at high risk for psychiatric comorbidities that is comparable or even worse than that in patients with epilepsy. Specific validated scales to screen for psychiatric comorbidities and suicide risk should be integral components of the evaluation and treatment of all patients with seizures.

Psychogenic non-epileptic seizures with and without epilepsy: Exploring the influence of co-existing psychiatric disorders on clinical characteristics and outcomes

BACKGROUND AND OBJECTIVES

Psychogenic non-epileptic seizures (PNES) are commonly associated with co-existing psychiatric disorders. The relationship between psychiatric factors and PNES episodes with and without epilepsy remains understudied. We reviewed co-existing psychiatric disorders in PNES-only, PNES with epilepsy aiming to examine whether these co-existing disorders associated with PNES clinical presentation and long-term outcomes.

METHODS

We conducted a retrospective, longitudinal cohort study of patients with PNES diagnosed at our EMU from May 2000 to April 2008, with follow-up clinical data until September 2015. We categorized patients into three groups: PNES-only, PNES+ definite epilepsy, and PNES+ possible/probable epilepsy.

RESULTS

In total, 271 patients with PNES were identified: 194 had PNES-only, 30 had PNES+ possible or probable epilepsy, and 47 had PNES+ definite epilepsy. No significant differences were observed in the prevalence of depression, anxiety, post-traumatic stress disorder (PTSD), substance abuse, or suicidal thoughts among the three groups. Similarly, no differences in co-existing psychiatric disorders characteristics were discovered among patients grouped by various durations and frequencies of PNES episodes. At EMU admission, for PNES-only patients total of 130/194 patients (67%) were on ASMs, and 64/194 (32.9%) were not. PNES-only not on ASM were the most likely to report at least two of the three main psychiatric disorders (depression, anxiety, and PTSD; p = 0.01). At the final follow-up, 68/130 (52.3%) and 92/130 (70.8%) patients were able to discontinue or reduce their ASM intake, respectively, with no significant differences in co-existing psychiatric disorders among them (p < 0.001). Overall, 51.6% or 31.3% of patients reported reduced or resolved PNES episodes, respectively. Further, this reduction and resolution of PNES episode were not affected by any psychological variable.

CONCLUSIONS

Co-existing psychiatric disorders prevalence did not differ between patients with PNES-only and those with coexisting epilepsy. Further, co-existing psychiatric disorders characteristics did not reliably predict PNES episode duration, frequency, reduction, or resolution. For patients with PNES-only, the presence of co-existing psychiatric disorders did not predict the rate at which ASMs could be reduced or discontinued.

The Yield of Ambulatory Video-EEG: Predictors of Successful Event Capture

Background and Objectives

The purpose of this study was to assess the likelihood of capturing a patient's typical event in question on ambulatory video-EEG monitoring (AVEM) based on certain baseline patient or event characteristics.

Methods

We retrospectively reviewed 300 studies that resulted between June 2021 and August 2022 ordered by adult epileptologists. Patients were included in event analysis if the study was ordered for the purpose of capturing an event (and excluded for all other purposes).

Results

A total of 149 studies were included in event analysis. Sixty-eight patients (46%) had their typical events captured on AVEM. Diagnosis was an epileptic seizure in 17 patients (25%), psychogenic nonepileptic seizure in 7 (10%), and other nonepileptic events in 44 (65%). Regarding event frequency, for patients who on average had daily events, 84% had events captured, which corresponds to a significantly increased odds ratio (OR 17.90, 95% CI 7.55-42.44, p < 0.001). For those who had events <1 per week to ≥1 per month, only 9% had events captured (OR 0.06, 95% CI 0.02-0.19, p < 0.001). No patients who had events less frequently than once per month had a diagnostic AVEM. Regarding the number of antiseizure medications (ASMs), the odds ratio was increased for those not on ASMs (OR 2.65, 95% CI 1.17 -6.03, p = 0.02) and decreased for those on 1 ASM (OR 0.28, 95% CI 0.13 -0.60, p = 0.001). There was no statistical significance based on event type (motor vs nonmotor), prior seizure diagnosis, history of psychiatric comorbidity, or presence of a focal brain lesion.

Discussion

Certain baseline characteristics can increase or decrease the pretest probability of capturing a typical event on AVEM, particularly the frequency of events and number of ASMs. This can be useful information for clinicians before ordering a study so that resources can be properly allocated.

Functional neurological disorder and placebo and nocebo effects: shared mechanisms

Functional neurological disorder (FND) is characterized by neurological symptoms that cannot be explained by a structural neurological cause. Among the different aetiological models that have been proposed for FND, of note is the Bayesian predictive coding model, which posits that perception relies on top-down cortical predictions (priors) to infer the source of incoming sensory information. This model can also apply to non-pathological experiences, such as placebo and nocebo effects, wherein sensory information is shaped by prior expectations and learning. To date, most studies of the relationship between placebo and nocebo effects and FND have focused on the use of placebos for diagnosis and treatment of FND. Here, we propose that this relationship might go beyond diagnosis and therapy. We develop a framework in which shared cognitive, personality and neuroanatomical factors justify the consideration of a deeper link between FND and placebo and nocebo effects. This new perspective might offer guidance for clarification of the pathogenesis of FND and for the identification of potential biomarkers and therapeutic targets.

Characterizing differences in psychiatric profiles between male and female veterans with epilepsy and psychogenic non-epileptic seizures

OBJECTIVE

While previous studies have described psychiatric profiles in patients with psychogenic non-epileptic seizures (PNES) and epileptic seizures (ES), a well-matched comparison between males and females has been lacking. To address this shortcoming, the present study sought to explore sex differences between male and female Veterans with ES and PNES in terms of psychiatric diagnoses, trauma histories, and psychiatric treatment.

METHODS

A male Veteran sample (PNES n = 87, ES n = 28) was identified matching age and seizure diagnosis with our previously-gathered female Veteran sample (PNES n = 90, ES n = 28). Retrospective chart review was used to obtain demographic, psychiatric, and seizure-related variables. Group differences between PNES and ES were first assessed among males followed by differences between males and females.

RESULTS

Males with PNES were more likely to receive psychiatric treatment (82.6 % vs. 60.7 %, p = 0.017), be prescribed more psychotropics (1.6 vs. 0.9, p = 0.003), and more likely to have childhood physical abuse (27.9 % vs. 3.6 %, p = 0.007) than those with ES. Compared to PNES, males with ES presented to the epilepsy monitoring unit (EMU) significantly later (12.8 years vs. 6.1 years, p = 0.009), and were prescribed more anti-seizure medications (ASMs) previously (2.1 vs. 0.8, p = 0.009) and currently (1.6 vs. 1.0, p = 0.001). Between males and females with PNES, females evidenced more depression (76.7 % vs. 26.3 %, p < 0.001), borderline personality disorder (18.9 % vs. 4.7 %, p = 0.004), suicidality (65.6 % vs. 33.7 %, p < 0.001), and childhood sexual abuse (37.8 % vs. 11.6 %, p < 0.001), while males had higher rates of substance use disorders (37.2 % vs. 8.9 %, p < 0.001).

SIGNIFICANCE

A greater psychiatric burden is seen among females compared to males with PNES, especially diagnoses of borderline personality disorder and depression. Higher rates of suicidality and inpatient psychiatric hospitalization may warrant particular consideration in screening and intervention efforts among female Veterans with PNES.

Emergency department visits and readmissions in patients with psychogenic nonepileptic seizures (PNES) at a safety net hospital

INTRODUCTION

Readmissions and emergency department (ED) visits after an index admission have been become a quality measure due to associations with poor outcomes and increased healthcare costs. Readmissions and ED encounters have been studied in a variety of conditions including epilepsy but have not been examined exclusively in psychogenic nonepileptic seizures (PNES). In this study we examined the rate of readmissions and ED visits after a discharge from an Epilepsy Monitoring Unit (EMU) in a safety net hospital. We also determined patient phenotypes that are associated with readmissions.

MATERIAL AND METHODS

This was a retrospective chart review study with index admission being a discharge from an EMU between January 1 and December 31 2016 with follow-up until August 31 2020. We obtained data regarding demographics, medical and psychiatric history, and social history and treatment interventions. Our outcome variables were both all-cause and seizure-related hospital readmissions and ED visits 30 days following the index discharge and readmissions and ED visits 30 days thereafter.

RESULTS

Eleven of 122 patients (9%) had a non-seizure-related ED visit and/or hospitalization within 30 days of index discharge while 45 (37%) had re-contact with the health system thereafter for non-seizure-related issues. Seven of 122 patients (6%) had a seizure-related ED visit or hospital readmission within 30 days of discharge. Twenty-eight (23%) had a seizure-related readmission or ED visit after 30 days. Of these 28, 4 patients had been to an ER within 7 days of EMU discharge. The majority of subsequent encounters with the healthcare system were through the ED (n = 38) as compared to hospital (n = 10) and EMU readmissions (n = 9). On bivariate statistical analysis, charity or self-pay insurance status (p < 0.01), homelessness (p < 0.01), emergent EMU admission on index admission (p < 0.01), history of a psychiatric diagnosis (p < 0.02), and ED encounters 12 months prior to admission (p < 0.01) were significantly associated with readmission; however, on multivariate analysis only charity insurance status was a significant predictor.

CONCLUSIONS

In this study of readmissions and ED visits after discharge with a diagnosis of PNES at a safety net hospital, we found a seizure-related readmission rate of approximately 6% in 30 days and 23% thereafter with the majority of re-contact with the hospital being in the ED. On multi-variate analysis insurance status was a significant factor associated with readmission and ED visits. Our future research directions include examining referrals and treatment completion at the hospital's PNES clinic as well as creating a risk score to better identify patients with PNES at risk of readmission.