Differences in self-reported depressive symptoms between patients with epileptic and psychogenic nonepileptic seizures

The Inmate Who Continues to Seize: Delayed Diagnosis of Zolpidem Withdrawal Due to Functional Mimics

Functional neurological disorder (FND) is a constellation of common neurological symptoms without exact organic pathophysiology. The disease arises from aberrant neural computation, and its diagnosis is made upon positive clinical features. FND has emerged as a challenge to healthcare, as clinicians often have limited instructions in assessing it during their career, mainly when there are preexisting organic entities. Here we discuss an inmate whose diagnosis of zolpidem withdrawal seizure is delayed due to co-existing functional mimics and eventually led to an unfavorable outcome. We also review and summarize the current consensus on FND diagnosis and management. Together this report highlights the importance of careful investigation in atypical clinical presentation, with the intent to improve care for both organic and functional neurological patients.

Predictive utility of the Minnesota Multiphasic Personality Inventory-2-RF (MMPI-2-RF) in differentiating psychogenic nonepileptic seizures and epileptic seizures in male veterans

OBJECTIVE

While psychogenic nonepileptic seizures (PNES) and epileptic seizures (ES) often present similarly, they are etiologically distinct, and correct diagnosis is essential for ensuring appropriate treatment and improving outcomes. The Minnesota Multiphasic Personality Inventory-2-RF (MMPI-2-RF) may assist in differential diagnosis, but prior investigations have been limited by disproportionately female samples, inconsistent accounting for profile invalidity, and limited intra-scale variability from dichotomizing variables. The current investigation addressed these gaps by assessing diagnostic utility of the MMPI-2-RF in differentiating PNES and ES in a male sample of veterans while conservatively accounting for profile invalidity and using a statistical approach that allows for consideration of continuous independent variables to better appreciate intra-scale variance.

METHOD

One hundred and forty-four veterans completed the MMPI-2-RF and were diagnosed with PNES (57.6%) or ES (42.4%) by a board-certified neurologist following continuous video-EEG monitoring. Participants with validity scores falling in the definitely or likely invalid ranges were excluded to ensure construct validity among clinical/substantive scales. Independent samples t-tests assessed differences in MMPI-2-RF variables by diagnostic groups. Hierarchical stepwise logistical regressions assessed predictive utility of MMPI-2-RF indices. A clinical calculator was derived from regression findings to help with diagnostic prediction.

RESULTS

Males with PNES endorsed significantly higher scores on F-r, FBS-r, RBS, RC1, RC7, HPC, and NUC (medium to large effect sizes). The regression block that contained validity, restructured clinical (RC1), and substantive scales (GIC, SUI) had a hit rate of 75.69%, which was an improvement from the baseline model hit rate of 57.64%. Higher endorsement on RC1 and lower reporting on GIC significantly predicted PNES diagnosis for males.

CONCLUSIONS

Minnesota Multiphasic Personality Inventory-2-RF improved diagnostic accuracy of PNES versus ES among male veterans, and RC1 (somatic complaints) emerged as a significant predictor for males with PNES, in line with hypotheses. Several clinical/substantive scales assisted with differential diagnosis after careful accounting for profile validity. Future studies can validate findings among males outside of veteran samples.

Sleep Disturbances in Patients with Nonepileptic Seizures

OBJECTIVE

Up to 20% of patients treated for epileptic seizures experience psychogenic nonepileptic paroxysms (PNES). These patients present a significant burden for the health care systems because of poor treatment outcomes. The presented review aims to summarize the current state of knowledge on sleep disturbances in patients with nonepileptic seizures.

METHODS

Articles were acquired via PubMed and Web of Science, and papers between January 1990 and March 2020 were extracted. Inclusion criteria were (1) published in a peer-reviewed journal: (2) studies in humans only; or (3) reviews on a related topic; (4) English language. The exclusion criteria were: (1) abstracts from conferences; (2) commentaries; (3) subjects younger than 18 years. From primary assessment, 122 articles were extracted; after obtaining full texts and secondary articles from reference lists, 45 papers were used in this review.

RESULTS

Limited data are available regarding sleep disorders in PNES patients, over the last 30 years only nine original research papers addressed sleep problems in patients with PNES with only six studies assessing objectively measured changes in sleep. Current literature supports the subjective perception of the sleep disturbances with mixed results in objective pathophysiological findings. Conflicting results regarding the REM phase can be found, and studies reported both shortening and prolonging of the REM phase with methodological limitations. Poor sleep quality and shortened duration have been consistently described in most of the studies.

CONCLUSION

Further research on a broader spectrum of patients with PNES is needed, primarily focusing on objective neurophysiological findings. Quality of life in patients suffering from PNES can be increased by good sleep habits and treatment of comorbid sleep disorders.

Nonepileptic Episodic Events

PURPOSE OF REVIEW

This review addresses the scope, evaluation, treatments, and outcomes of patients with nonepileptic episodic events with a focus on psychogenic nonepileptic seizures. Differentiation of the types of events, including a review of terminology, is included, as well as a brief review of special patient populations with these disorders.

RECENT FINDINGS

There are continued efforts to develop tools to improve the diagnosis of these disorders. A thorough evaluation with trained personnel and physicians knowledgeable in the assessment and treatment of these disorders is important. Although inpatient video-EEG monitoring in an epilepsy monitoring unit remains the gold standard for diagnosis, the assessment of clinical and historical factors is critical and can be useful in expediting the process and improving diagnostic certainty. International efforts have recently assisted in providing guidelines for the evaluation of the psychogenic disorders and may help target educational and other resources to underserved areas.

SUMMARY

The prompt and accurate diagnosis of nonepileptic episodic events and psychogenic nonepileptic seizures is possible with current technology, and the appropriate and targeted use of evidence-based treatments may help improve patient quality of life and avoid unnecessary disability in patients with these disorders.

Increased odds and predictive rates of MMPI-2-RF scale elevations in patients with psychogenic non-epileptic seizures and observed sex differences

OBJECTIVE

The Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) is a self-report instrument, previously shown to differentiate patients with epileptic seizures (ES) and psychogenic non-epileptic seizures (PNES). At present, the odds of MMPI-2-RF scale elevations in PNES patients, as well as the diagnostic predictive value of such scale elevations, remain largely unexplored. This can be of clinical utility, particularly when a diagnosis is uncertain.

METHOD

After looking at mean group differences, we applied contingency table derived odds ratios to a sample of ES (n=92) and PNES (n=77) patients from a video EEG (vEEG) monitoring unit. We also looked at the positive and negative predictive values (PPV, NPV), as well as the false discovery rate (FDR) and false omission rate (FOR) for scales found to have increased odds of elevation in PNES patients. This was completed for the overall sample, as well as the sample stratified by sex.

RESULTS

The odds of elevations related to somatic concerns, negative mood, and suicidal ideation in the PNES sample ranged from 2 to 5 times more likely. Female PNES patients had 3-6 times greater odds of such scale elevations, while male PNES patients had odds of 5-15 times more likely. PPV rates ranged from 53.66% to 84.62%, while NPV rates ranged from 47.52% to 90.91%. FDR across scales ranged from 15.38% to 50%, while the FOR ranged from 9.09% to 52.47%.

CONCLUSIONS

Consistent with prior research, PNES patients have greater odds of MMPI-2-RF scale elevations, particularly related to somatic concerns and mood disturbance. Female PNES patients endorsed greater emotional distress, including endorsement of suicide related items. Elevations of these scales could aid in differentiating PNES from ES patients, although caution is warranted due to the possibility of both false positives and the incorrect omissions of PNES cases.

Clinical Approaches to Psychogenic Nonepileptic Seizures

Psychogenic nonepileptic seizures (PNES) are a subtype of conversion disorder (also called functional neurological symptom disorder in DSM-5). Patients with PNES are high utilizers of health care and can have disability levels similar to those of patients with epilepsy. PNES is a common, complex neuropsychiatric somatoform disorder at the interface of neurology and psychiatry disciplines and is largely overlooked and avoided by mental health providers. Despite advances in establishing accurate diagnosis and evidence-based treatments, recent knowledge about PNES has not been well translated into clinical practice. Long diagnostic delays have been associated with poor prognosis. Recent advances in possible neurophysiological biomarkers include functional MRI studies that show abnormalities in emotional, cognitive, executive, and sensorimotor neurocircuits. Although the gold standard for diagnosis is video electroencephalograph, this test is underused by psychiatrists. The International League Against Epilepsy proposed a staged approach to PNES diagnosis using history, semiologic features, and EEG. Thorough psychiatric assessment can identify relevant biopsychosocial and predisposing, precipitating, and perpetuating factors, as well as assess the comorbid psychiatric disorders, which can inform a treatment plan. Clear and thoughtful delivery of diagnosis is the first step in treatment. Regular follow-up with the patient's neurologist, in addition to treatment by mental health professionals familiar with somatic symptom disorders, is recommended. Psychotherapy is the mainstay of treatment, and randomized clinical trials using cognitive-behavioral therapies reveal significant reduction in seizures and other psychiatric symptoms. After centuries, mental health providers now have access to the tools to diagnose and effectively treat PNES and other conversion disorders.

Nonepileptic seizures: an updated review

Psychogenic nonepileptic seizures (PNES) are a functional neurological disorder/conversion disorder subtype, which are neurobehavioral conditions at the interface of neurology and psychiatry. Significant advancements over the past decade have been made in the diagnosis, management, and neurobiological understanding of PNES. This article reviews published PNES research focusing on semiologic features that distinguish PNES from epileptic seizures, consensus diagnostic criteria, the intersection of PNES and other comorbidities, neurobiological studies, evidence-based treatment interventions, and outcome studies. Epidemiology and healthcare utilization studies highlight a continued unmet medical need in the comprehensive care of PNES. Consensus guidelines for diagnostic certainty are based on clinical history, semiology of witnessed typical event(s), and EEG findings. While certain semiologic features may aid in the diagnosis of PNES, the gold standard remains capturing a typical event on video electroencephalography (EEG) showing the absence of epileptiform activity with history and semiology consistent with PNES. Medical-neurologic and psychiatric comorbidities are prevalent in PNES; these should be assessed in diagnostic evaluations and integrated into treatment interventions and prognostic considerations. Several studies, including a pilot, multicenter, randomized clinical trial, have now demonstrated that a cognitive behavioral therapy-informed psychotherapy is an efficacious treatment for PNES, and additional efforts are necessary to evaluate the utility of pharmacologic and other psychotherapy treatments. Neuroimaging studies, while requiring replication, suggest that PNES may occur in the context of alterations within and across sensorimotor, emotion regulation/processing, cognitive control, and multimodal integration brain systems. Future research could investigate similarities and differences between PNES and other somatic symptom disorders.

People with psychogenic non-epileptic seizures: A South African perspective

BACKGROUND

Psychogenic non-epileptic seizures (PNES) is a disabling disorder which has a negative effect on the quality of life of individuals with PNES. A clear understanding of the disorder is necessary, however, to date, research about PNES in South Africa is limited.

OBJECTIVES

The aims of this study were to explore the demographic variables of individuals with PNES in South Africa, to review the available body of research on PNES, and to compare it with our results.

METHOD

Twenty-two people with PNES, with confirmed video EEG, were recruited by means of convenience sampling from two hospitals. Descriptive statistics were used to describe the demographic variables of the participants.

RESULTS

Internationally comparable results revealed misdiagnoses and low treatment delivery amongst a primarily female population.

CONCLUSION

This study provided greater insight into individuals with PNES in South Africa, highlighting the need for more information, support, effective treatment and accurate diagnosis of PNES.

[About the comorbidity of affective and conversion disorders in epilepsy]

In this literature review, special attention is drawn to the pathogenesis of conversion disorders in patients with epilepsy, in particular, with psychogenic non-epileptic seizures. Diagnostic issues and pharmacotherapy of affective and conversion disorders in patients with epilepsy is discussed.

Comparison of common data elements from the Managing Epilepsy Well (MEW) Network integrated database and a well-characterized sample with nonepileptic seizures

INTRODUCTION

Epilepsy and psychogenic nonepileptic seizures (PNES) are both chronic illnesses characterized by similar and overlapping clinical features. A limited number of studies comparing people with epilepsy (PWE) and patients with PNES that address determinants of health outcomes exist. We conducted an analysis using a well-characterized sample of people with PNES and the Managing Epilepsy Well (MEW) Network integrated data, comparing descriptive data on samples with epilepsy and with documented PNES. Based on the pooled data, we hypothesized that people with PNES would have worse QOL and higher depression severity than PWE.

MATERIAL AND METHODS

We used data from the MEW Network integrated database involving select epilepsy self-management studies comprising 182 PWE and 305 individuals with documented PNES from the Rhode Island Hospital Neuropsychiatry and Behavioral Neurology Clinic. We conducted a matched, case-control study assessing descriptive comparisons on 16 common data elements that included gender, age, ethnicity, race, education, employment, income, household composition, relationship status, age at seizure onset, frequency of seizures, seizure type, health status, healthy days, quality of life, and depression. Standardized rating scales for depression and quality of life were used.

RESULTS

Median seizure frequency in the last 30days for PWE was 1, compared to 15 for patients with PNES (p<0.05). People with epilepsy had a QOLIE-10 mean score of 3.00 (SD: 0.91) compared to 3.54 (0.88) (p<0.01) for patients with PNES. Depression severity was moderate to severe in 7.7% of PWE compared to 34.1% (p<0.05) of patients with PNES.

DISCUSSION

People with epilepsy in selected MEW Network programs are fairly well educated, mostly women, with few minorities and low monthly seizure rates. Those with PNES, however, have higher levels of not working/on disability and had more frequent seizures, higher depression severity, and worse QOL. These differences were present despite demographics that are largely similar in both groups, illustrating that other determinants of illness may influence PNES.

Quality of life in psychogenic nonepileptic seizures and epilepsy: the role of somatization and alexithymia

It is clear that many individuals with psychogenic nonepileptic seizures (PNESs) often present with poorer quality of life compared with those with epileptic seizures (ESs). However, the mechanisms linking seizure diagnosis to quality-of-life outcomes are much less clear. Alexithymia and somatization are emotional markers of psychological functioning that may explain these differences in quality of life. In the current study, patients from an epilepsy monitoring unit with vEEG-confirmed diagnosis of PNESs or ESs were compared on measures of alexithymia, somatization, quality of life, and a variety of demographic and medical variables. Two models using alexithymia and somatization individually as mediators of the relations between diagnosis and quality of life were tested. Results indicated that patients with PNESs had significantly poorer quality of life compared with those with ESs. Alexithymia was associated with poor quality of life in both groups but did not differentiate between diagnostic groups. Further, alexithymia did not mediate the relationship between diagnosis and quality of life. Somatization was associated with poor quality of life, and patients with PNESs reported greater somatization compared with patients with ESs. Somatization also significantly mediated the relationship between diagnosis and quality of life. In conclusion, somatization may be one mechanism affecting poor quality of life among patients with PNESs compared with ESs and should be a target of comprehensive treatments for PNESs. Alexithymia proved to be an important factor impacting quality of life in both groups and should also be targeted in treatment for patients with PNESs and patients with ESs.

Psychogenic non-epileptic seizures: so-called psychiatric comorbidity and underlying defense mechanisms

In Diagnostic and Statistical Manual of Mental Disorders, fifth edition, psychogenic non-epileptic seizures (PNES) do not have a unique classification as they can be found within different categories: conversion, dissociative, and somatization disorders. The ICD-10, instead, considers PNES within dissociative disorders, merging the dissociative disorders and conversion disorders, although the underlying defense mechanisms are different. The literature data show that PNES are associated with cluster B (mainly borderline) personality disorders and/or to people with depressive or anxiety disorders. Defense mechanisms in patients with PNES with a prevalence of anxious/depressive symptoms are of "neurotic" type; their goal is to lead to a "split", either vertical (dissociation) or horizontal (repression). The majority of patients with this type of PNES have alexithymia traits, meaning that they had difficulties in feeling or perceiving emotions. In subjects where PNES are associated with a borderline personality, in which the symbolic function is lost, the defense mechanisms are of a more archaic nature (denial). PNES with different underlying defense mechanisms have different prognoses (despite similar severity of PNES) and need usually a different treatment (pharmacological or psychological). Thus, it appears superfluous to talk about psychiatric comorbidity, since PNES are a different symptomatic expression of specific psychiatric disorders.

Pathophysiology of mood disorders in temporal lobe epilepsy

OBJECTIVE

There is accumulating evidence that the limbic system is pathologically involved in cases of psychiatric comorbidities in temporal lobe epilepsy (TLE) patients. Our objective was to develop a conceptual framework describing how neuropathological, neurochemical and electrophysiological aspects might contribute to the development of psychiatric symptoms in TLE and the putative neurobiological mechanisms that cause mood disorders in this patient subgroup.

METHODS

In this review, clinical, experimental and neuropathological findings, as well as neurochemical features of the limbic system were examined together to enhance our understanding of the association between TLE and psychiatric comorbidities. Finally, the value of animal models in epilepsy and mood disorders was discussed.

CONCLUSIONS

TLE and psychiatric symptoms coexist more frequently than chance would predict. Alterations and neurotransmission disturbance among critical anatomical networks, and impaired or aberrant plastic changes might predispose patients with TLE to mood disorders. Clinical and experimental studies of the effects of seizures on behavior and electrophysiological patterns may offer a model of how limbic seizures increase the vulnerability of TLE patients to precipitants of psychiatric symptoms.

Antidepressant therapy in epilepsy: can treating the comorbidities affect the underlying disorder?

There is a high incidence of psychiatric comorbidity in people with epilepsy (PWE), particularly depression. The manifold adverse consequences of comorbid depression have been more clearly mapped in recent years. Accordingly, considerable efforts have been made to improve detection and diagnosis, with the result that many PWE are treated with antidepressant drugs, medications with the potential to influence both epilepsy and depression. Exposure to older generations of antidepressants (notably tricyclic antidepressants and bupropion) can increase seizure frequency. However, a growing body of evidence suggests that newer ('second generation') antidepressants, such as selective serotonin reuptake inhibitors or serotonin-noradrenaline reuptake inhibitors, have markedly less effect on excitability and may lead to improvements in epilepsy severity. Although a great deal is known about how antidepressants affect excitability on short time scales in experimental models, little is known about the effects of chronic antidepressant exposure on the underlying processes subsumed under the term 'epileptogenesis': the progressive neurobiological processes by which the non-epileptic brain changes so that it generates spontaneous, recurrent seizures. This paper reviews the literature concerning the influences of antidepressants in PWE and in animal models. The second section describes neurobiological mechanisms implicated in both antidepressant actions and in epileptogenesis, highlighting potential substrates that may mediate any effects of antidepressants on the development and progression of epilepsy. Although much indirect evidence suggests the overall clinical effects of antidepressants on epilepsy itself are beneficial, there are reasons for caution and the need for further research, discussed in the concluding section.

Psychiatric comorbidity in veterans with psychogenic seizures

Psychogenic non-epileptic seizures (PNES) are frequently encountered in epilepsy monitoring units (EMU) at Veterans Affairs Medical Centers (VAMCs) and cause significant long-term disability. An understanding of psychiatric factors associated with PNES could aid in earlier diagnosis and treatment. We studied 50 consecutive veterans diagnosed with PNES and 37 veterans diagnosed with epileptic seizures (ES), evaluated at a VAMC EMU. We reviewed all available mental health evaluations prior to EMU evaluation. Univariate comparisons included axis I diagnoses, axis II diagnoses, and psychiatric hospitalizations. Predictive models of seizure classification were evaluated by logistic regression. A diagnosis of post-traumatic stress disorder (PTSD) preceded the diagnosis of PNES in 58% of patients and the diagnosis of ES in 13.5% (p<0.001). On logistic regression, PTSD was the only significant psychiatric diagnosis (odds ratio 9.2). Major depression and alcohol abuse were common diagnoses but did not differentiate PNES and ES groups.

Depression and epilepsy, pain and psychogenic non-epileptic seizures: clinical and therapeutic perspectives

The clinical manifestations of depression in people with epilepsy (PWE) are pleomorphic, often associated with anxiety symptoms and anxiety disorders. The ongoing debate of whether the clinical presentation of depression in PWE is unique to this neurologic disorder is reviewed. Comorbid depression can impact the recruitment of PWE for pharmacologic trials with antiepileptic drugs (AEDs). Yet, the impact of depression on the response of the seizure disorder to pharmacotherapy with AEDs and its impact on worse adverse events may bias the interpretation of the trial findings, particularly when depressed patients are included in the AED trials. PWE have a greater suicidal risk than the general population. This risk is mediated by multiple factors, and recent data from the FDA have imputed a potential pathogenic role to all AEDs. The recognition of patients at risk is reviewed. Yet, the validity of the FDA data has been questioned, and the status of this controversial question is analyzed. As in the case of epilepsy, depression and pain syndromes have a relatively high comorbidity. The negative impact of depression on pain is reminiscent of that of depression in PWE; furthermore, the high comorbidity may be also associated with the existence of common pathogenic mechanisms. Neurologists and in particular, epileptologists establish the diagnosis of psychogenic non-epileptic seizures (PNES) in whom a comorbid depressive disorder is very often identified. The role of depression in the course of PNES and its treatment are discussed. Scarce data are available on the treatment of depression in PWE. Thus, clinicians have had to adopt data from patients with primary depressive disorders. We outline a consensus strategy on the identification and treatment of depressive disorders in adult and pediatric patients with epilepsy.

Using personality disorders to distinguish between patients with psychogenic nonepileptic seizures and those with epileptic seizures

Identifying psychiatric disorders rather than psychiatric symptoms might help to distinguish patients with psychogenic nonepileptic seizures (PNES) from those with epileptic seizures (ES). Patients with PNES (n=35), patients with ES (n=35), and healthy controls (n=37) were compared with respect to the prevalence of psychiatric disorders in this study. We tested the predictive power of having axis I psychiatric disorders, as well as personality disorders, in distinguishing ES from PNES. There was no significant difference between the patient groups in the prevalence of axis I psychiatric disorders. Personality disorders were more prevalent in the PNES group than in the ES group (P<0.05). Having a personality disorder was the only predictor for the PNES group. Having a personality disorder seems to be a more significant predictor for PNES than having an axis I psychiatric disorder. Greater attention should be paid to personality disorders in the differentiation of PNES and ES and the provision of effective treatment.

Psychogenic nonepileptic seizures

Treatment for PNES must be individualized. A combination of approaches is probably the most beneficial for improvement. Treatment should not simply emphasize removing maladaptive PNES behaviour, but should also focus on learning new coping skills and removing secondary gains. If PNES persist, therapy should be re-evaluated.

Psychogenic non-epileptic seizures: a challenging entity

Psychogenic non-epileptic seizures (PNES) are commonly encountered in neurologic practice. They are often misdiagnosed as epileptic seizures and treated as such for several years before a correct diagnosis is established. Such a misdiagnosis has the potential to expose patients to undue risk through several anti-epileptic drugs (AEDs). Patients are also affected in other ways, such as by financial consequences and the limitation of certain daily activities. In this review, we present the contemporary opinion of PNES with attention to clinically relevant salient features and management strategies.

Motivation, psychopathology, locus of control, and quality of life in women with epileptic and nonepileptic seizures

To examine factors that may potentially aid in the differential diagnosis and subsequent tailoring of treatment for patients with epileptic (ES) and psychogenic nonepileptic (PNES) seizures, thirty female patients with PNES and 51 female patients with temporal lobe epilepsy were assessed in the areas of motivation, psychopathology, health-related locus of control (HRLOC), and health-related quality of life (HRQOL). The two groups demonstrated equivalent levels of motivation, clinically elevated yet comparable mood symptoms, and no general differences in HRLOC. Despite similar mood disturbances in both groups, the participants with PNES had a later age of seizure onset, exhibited greater personality disturbances, attributed more control over their condition to nonphysicians, and endorsed a greater negative impact of their seizures on physical and emotional aspects of HRQOL. Preliminary analyses suggest that chronic anxiety and overall HRQOL may be core discriminators between these seizure groups. Addressing such issues may prove useful in tailoring more specific treatments for these etiologically disparate conditions.

Using patient history to distinguish between patients with non-epileptic and patients with epileptic events

Information obtained during psychological evaluations of 93 patients with epileptic events (EEs) and 63 with nonepileptic events (NEEs) was used to test the relative contributions of multiple risk factors to prediction of NEEs during video/EEG monitoring. The best group of independent predictors of NEEs comprised: (1) age at first spell, (2) symptoms of a psychiatric diagnosis other than anxiety or depression, (3) marital instability, (4) symptoms of an anxiety disorder other than panic disorder, and (5) years of education. Report of childhood abuse or neglect and taking psychotropic medication correlated with most of the other risk factors for NEEs. It may not be necessary to gather data on all of the variables shown to be associated with NEEs. Although there is a high prevalence of risk factors for psychopathology in patients with EEs, it is lower compared with that of patients with NEEs, and patients with EEs are less likely to report multiple risk factors.