Non-epileptic Paroxysmal Events Research Articles

EEG autoregressive modeling analysis: A diagnostic tool for patients with epilepsy without epileptiform discharges

ObjectiveNumerous types of nonepileptic paroxysmal events, such as syncopes and psychogenic nonepileptic seizures, may imitate epileptic seizures and lead to diagnostic difficulty. Such misdiagnoses may lead to inappropriate treatment in patients that can considerably affect their lives. Electroencephalogram (EEG) is a commonly used tool in assisting diagnosis of epilepsy. Although the appearance of epileptiform discharges (EDs) in EEG recordings is specific for epilepsy diagnosis, only 25%–56% of patients with epilepsy show EDs in their first EEG examination. MethodsIn this study, we developed an autoregressive (AR) model prediction error–based EEG classification method to distinguish EEG signals between controls and patients with epilepsy without EDs. Twenty-three patients with generalized epilepsy without EDs in their EEG recordings and 23 age-matched controls were enrolled. Their EEG recordings were classified using AR model prediction error–based EEG features. ResultsAmong different classification methods, XGBoost achieved the highest performance in terms of accuracy and true positive rate. The results showed that the accuracy, area under the curve, true positive rate, and true negative rate were 85.17%, 87.54%, 89.98%, and 81.81%, respectively. ConclusionsOur proposed method can help neurologists in the early diagnosis of epilepsy in patients without EDs and might help in differentiating between nonepileptic paroxysmal events and epilepsy. SignificanceEEG AR model prediction errors could be used as an alternative diagnostic marker of epilepsy.

Utility of Video Electroencephalography Monitoring for Diagnosis of Epilepsy and Nonepileptic Paroxysmal Events

Utility of Video Electroencephalography Monitoring for Diagnosis of Epilepsy and Nonepileptic Paroxysmal Events

SREDA: A Rare but Confusing Benign EEG Variant.

Subclinical rhythmic EEG discharges in adults (SREDA) is a very rare benign EEG pattern. The electrophysiological features and atypical variants of SREDA has wide spectrum and they are poorly known. It resembles ictal discharges, and overinterpretation of SREDA may lead to misdiagnosis of epilepsy. Herein, we aimed to report patients with SREDA to identify the frequency and characterized clinical, demographic, electrophysiological features. We reviewed 22,234 EEG reports that are reported by the same experienced clinical neurophysiologists, between 2012 and 2018. The EEGs with SREDA were reevaluated blindly by three clinical neurophysiologists. The demographic, clinical characteristics, and neuroimaging features of the patients were reviewed. Subclinical rhythmic EEG discharges in adults was present in 14 EEG records (0.06%), in nine patients. The mean age of patients was 52.1 ± 17.7 (range, 21-71) years. The patients had been diagnosed with several neurologic diseases, including cerebrovascular disease, epilepsy, psychogenic nonepileptic seizures, mental retardation, Alzheimer disease, and transient global amnesia. One patient had unilateral lesion, in whom SREDA had appeared on contralateral side of the lesion, whereas other patients with normal or nonlateralized lesions had SREDA bilaterally and symmetrical. This variant had been misdiagnosed as an ictal discharge in previous EEGs in three patients. This study indicates that SREDA is difficult to associate with any specific condition. The pathophysiology of SREDA can not be explained by a single mechanism. Even if it is mostly observed in older adults, it is also observed in young adults in this study. It is important to differentiate SREDA from ictal discharge to prevent misdiagnosis of epilepsy especially in nonepileptic paroxysmal events.

An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard

ObjectiveTo validate an artificial intelligence-based computer algorithm for detection of epileptiform EEG discharges (EDs) and subsequent identification of patients with epilepsy. MethodsWe developed an algorithm for automatic detection of EDs, based on a novel deep learning method that requires a low amount of labeled EEG data for training. Detected EDs are automatically grouped into clusters, consisting of the same type of EDs, for rapid visual inspection. We validated the algorithm on an independent dataset of 100 patients with sharp transients in their EEG recordings (54 with epilepsy and 46 with non-epileptic paroxysmal events). The diagnostic gold standard was derived from the video-EEG recordings of the patients’ habitual events. ResultsThe algorithm had a sensitivity of 89% for identifying EEGs with EDs recorded from patients with epilepsy, a specificity of 70%, and an overall accuracy of 80%. ConclusionsAutomated detection of EDs using an artificial intelligence-based computer algorithm had a high sensitivity. Human (expert) supervision is still necessary for confirming the clusters of detected EDs and for describing clinical correlations. Further studies on different patient populations will be needed to confirm our results. SignificanceThe automated algorithm we describe here is a useful tool, assisting neurophysiologist in rapid assessment of EEG recordings.

Semiological Features of Nonepileptic Paroxysmal Events in Infancy

Purpose: Nonepileptic paroxysmal events (NPEs) are common in infancy and may be misinterpreted as epileptic seizures. With a knowledge of common NPEs,...

Spectrum of Nonepileptic Paroxysmal Events in Children from Southern India.

Background Nonepileptic paroxysmal events (NEPEs) present with episodes similar to epileptic seizures but without abnormal electrical discharge on electroencephalogram (EEG). NEPEs are commonly misdiagnosed as epilepsy. Epilepsy is diagnosed on the basis of a detailed history and examination. Emphasis during history to rule out the possibility of NEPE is important. The wrong diagnosis of epilepsy can lead to physical, psychological, and financial harm to the child and the family. Hence, this study was planned. Objective The objective of the study is to evaluate clinical profile, frequency, and spectrum of NEPE in children. Materials and Methods This is a prospective observational study. Patients with NEPE between January 2014 and August 2016 aged < 18 years were enrolled. NEPEs were diagnosed on the basis of history, home video, and EEG recordings. Patients were divided into different categories according to age, specific type of disorder, and system responsible. Patients were followed for their NEPE frequency and outcome. Results A total of 3,660 children presented with paroxysmal events; of them 8% were diagnosed with NEPE. Patients diagnosed with NEPE were classified into three age groups on the basis of their age of onset of symptom; of the total 285 patients, there were 2 neonates (0.7%), 160 infants (56%), and 123 children and adolescents (43.1%). Fifty-eight percent patients were boys. The most common diagnoses were breath-holding spells 113 (39%), followed by syncope 38 (13.3%) and psychogenic nonepileptic seizures 37 (12.9%). About 9 and 5% of patients had concomitant epilepsy and developmental delay, respectively. Conclusions NEPEs account for 8% of paroxysmal events. Most common NEPEs were breath-holding spells among infants and syncope and “psychogenic nonepileptic seizures” in children and adolescents.

Paroxysmal non-epileptic events in infancy: five cases with typical features.

The differential diagnosis of paroxysmal non-epileptic events in early childhood is one of the most challenging tasks in paediatrics, and may be difficult even for specialized child neurologists. Parents are usually concerned by every unusual movement of their children and consult paediatric general practitioners immediately. We investigated five infants/toddlers (aged 1-30 months) referred by their general practitioners with a suspicion of epilepsy. None of them were ultimately shown to have epilepsy. Our aim was to determine the main reasons for referral and describe, through images and video, the typical features of five non-epileptic paroxysmal events (benign neonatal sleep myoclonus, jitteriness, shuddering attack, paroxysmal tonic upgaze, and infantile masturbation). The review of these events reveals the significance of the circumstances within the history of the patients. A detailed history is of considerable help in the differentiation of epileptic paroxysmal events from non-epileptic events, avoiding unnecessary investigations. Video-EEG examination is necessary only in cases when epilepsy is strongly suspected. [Published with video sequences].

Effectiveness Oral Theophylline, Piracetam, and Iron Treatments in Children With Simple Breath-Holding Spells.

Breath-holding spells (BHS) are common nonepileptic paroxysmal events in children. This is a retrospective study to compare the effectiveness of oral theophylline, piracetam, and iron treatments in children with simple BHS. A total of 146 children (75 girls and 71 boys) with simple BHS were included to this retrospective study. Children were divided into 4 groups: nontreated (no anemia and no treatment), oral theophylline (10 mg/kg/d as a single daily dose), piracetam (40 mg/kg/d in 2 divided doses), and elementary iron (3 mg/kg/d as a single daily dose) treatments. Iron therapy had been given only in children with iron deficiency anemia. Neurologic, cardiologic, and biochemical evaluations were performed for all children. The majority of the patients had cyanotic spells (83.6%). The frequency of attacks/month was markedly decreased with iron (58.8%) and theophylline (82.9%) treatments, but not with piracetam therapy (8.8%) and nontreated group (4.7%). Satisfaction of the parents/caregivers was found to be high in the theophylline group (P < .001). Our results showed that theophylline was the most effective therapy to decrease the frequency of simple BHS in children.

O-44 Clinical validation of criteria for identification of epileptiform EEG discharges in sensor and source space

Background Presence of Epileptiform Discharges (ED) in EEG recordings are highly associated with an epilepsy diagnosis. The International Federation of Clinical Neurophysiology (IFCN) suggested 6 criteria in EEG sensor-space, so that presence of at least 4 of them defines a waveform as ED. The aim of our study to assess inter-rater agreement (IRA) and accuracy of identifying spikes in sensor space (using the IFCN criteria at different thresholds) and in source space. Methods EEG samples from 100 consecutive patients with epilepsy and non-epileptic paroxysmal events were reviewed separately in sensor-space and source-space, in different, randomized order, by 7 raters, who scored the presence/absence of each IFCN-criterion in sensor-space, and presence/absence of EDs in source-space. EDs were defined in sensor-space using different thresholds (2–6 criteria) and without counting criteria. Accuracy was determined for each rater and for the majority decisions for each sample. Material and results IRA was moderate both in sensor space and in source space (k: 0.49–0.60). In sensor-space, the highest accuracy (91%) and sensitivity (96%) was achieved using a threshold of 4 criteria. However, this gave a specificity that was lower than acceptable for EEG (85%). Using a threshold of 5 criteria in sensor-space specificity of 96% was achieved, at a sensitivity of 83% and accuracy of 89%. Results in source-space were identical to using the threshold of 5 criteria in sensor-space. Conclusions Using a threshold of 5 IFCN-criteria in sensor-space, and using source-space yields a high specificity and acceptable sensitivity for identifying EDs.

Paroxysmal Tonic Upgaze in Children

In clinical practice, nonepileptic paroxysmal events during infancy and childhood are common reasons for parents and caregivers to seek for medical advice. These events are mostly unrecognized and considered as an epileptic seizure because of the clinical features resembling an epileptic seizure. Paroxysmal tonic upgaze, which consists of recurrent episodes of sustained upward deviation of the eyes and incomplete downward saccades, and normal horizontal eye movements without impairment of consciousness, is a diagnostic challenge for the pediatrician and pediatric neurologist. In general, the entity was defined as an apparently benign phenomenon with normal investigations and eventual complete resolution of the symptoms, although some authors reported on patients with associated neurologic signs, such as ataxia, developmental delay, and abnormal brain magnetic resonance imaging finding. The patients were 3 children (1 boy and 2 girls) who were between 5 and 18 months old experiencing rapid ocular movements with sustained conjugate upward deviation of the eyes. Their attacks, which were recorded using a video or electroencephalogram system, were also investigated comprehensively, including neurologic examination, electroencephalograms, brain magnetic resonance imaging, and metabolic tests. Paroxysmal tonic upgaze attacks have decreased in number or disappeared in 2 patients, but 1 patient exhibited mild abnormalities on magnetic resonance imaging and had relatives with epilepsy. In conclusion, paroxysmal tonic upgaze is an apparently benign phenomenon with unclear pathophysiology of various proposed mechanisms such as genetic predisposition, immaturity of the brain stem, neurotransmitter depletion, or immune dysregulation. It is important to recognize the clinical presentation of paroxysmal tonic upgaze and distinguish the disorders from epilepsy for deciding the treatment and prognosis of the patients.

Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks.

Numerous nonepileptic paroxysmal events, such as syncope and psychogenic nonepileptic seizures, may imitate seizures and impede diagnosis. Misdiagnosis can lead to mistreatment, affecting patients' lives considerably. Electroencephalography is commonly used for diagnosing epilepsy. Although on electroencephalograms (EEGs), epileptiform discharges (ED) specifically indicate epilepsy, only approximately 50% of patients with epilepsy have ED in their first EEG. In this study, we developed a deep convolutional neural network (ConvNet)-based classifier to distinguish EEG between patients with epilepsy without ED and controls. Overall, 25 patients with epilepsy without ED in their EEGs and 25 age-matched patients with Tourette syndrome or syncope were enrolled. Their EEGs were classified using the deep ConvNet. When the EEG data without overlapping were used, the accuracy, sensitivity, and specificity were 65.00%, 48.00%, and 82.00%, respectively. The performance measures improved when the input EEG data were augmented through overlapping. With 95% EEG data overlapping, the accuracy, sensitivity, and specificity increased to 80.00%, 70.00%, and 90.00%, respectively. The proposed method could be regarded as a pilot study to demonstrate a proof of concept of a potential diagnostic value of deep ConvNet in patients with epilepsy without ED. Further studies are needed to assist neurologists in distinguishing nonepileptic paroxysmal events from epilepsy.

Classification of paroxysmal events and the four-dimensional epilepsy classification system.

This educational review describes the classification of paroxysmal events and a four-dimensional epilepsy classification system. Paroxysmal events are classified as epileptic and non-epileptic paroxysmal events. Non-epileptic events are, in turn, classified as psychogenic and organic paroxysmal events. The following four dimensions are used to classify epileptic paroxysmal events: ictal semiology, the epileptogenic zone, etiology, and comorbidities. Efforts are made to keep these four dimensions as independent as possible. The review also includes 12 educational vignettes and three more detailed case reports classified using the 2017 classification of the ILAE and the four-dimensional epilepsy classification. In addition, a case is described which is classified using the four-dimensional epilepsy classification with different degrees of precision by an emergency department physician, a neurologist, and an epileptologist. [Published with video sequences on www.epilepticdisorders.com].

Neonatal seizures and neonatal epilepsy: Urgent need for training programs

Neonatal seizures (NS), even short lived, may signify serious underlying problem that occur in immature brain. It may lead to horrible long term adulthood comorbid neurological, behavioral and psychiatric disorders. Experimentally, even single episode of neonatal seizures permanently affects cognition and memory.Neonatal Seizures are considered as a neurological emergency requiring urgent intervention especially in case with potentially treatable etiologies. The prevalence of NS is about 1.5% and overall incidence about 0.3% live births. The incidence is so higher in pre-term infants (57–132 per 1000 live births). About 80% of NS occur in the 1st week of life. From literature, 7:16% of neonates with NS may be died (higher for preterm infants). Among survivors; adverse neurodevelopmental sequelae will take place in 27-55% including cerebral palsy, developmental delay, and postneonatal epilepsy.Neonatal neurology is an emergent sub-specialty area concerning neurologic problems present in the neonatal period. A neurologist with expertise in neonates is becoming more needed. Few neonatologists are interested in neonatal neurology; they considered it as a subject of ambiguity and mystery.Dealing with NS is challenging, especially, for neurologists who aren’t involved in neonatology practice. This may due to dissimilarities and special characteristics of neonates when compared with those of older age groups. In NS; various etiologies should be considered notably hypoxic ischemic encephalopathy, neonatal stroke, kernicterus, traumatic brain injury and metabolic causes. Most NS are subclinical occurring without overt clinical correlate and having the same prognosis as electroclinical seizures. Clinical seizure types in neonates are focal-clonic, focal-tonic, some types of myoclonic, and epileptic spasms. In addition to clinical skills, video EEG monitoring can be used to exclude seizure mimickers including non-seizure behaviors and non-epileptic paroxysmal events as benign neonatal sleep myoclonus, benign non epileptic myoclonus of early infancy (benign non-epileptic infantile spasms) and hyperekplexia. Diagnostic procedures for NS including; biochemical laboratory workup, striking electrophysiological and neuroradiological findings; all have different implication and values in neonates, and lastly; special considerations regarding potentially toxic anti-epileptic medications and other therapeutic modalities should be taken when used in little infants with immature brain, liver and kidneys.Although, most NS are mainly acute, symptomatic and reactive to a specific distinguishable cause, rare distinct early neonatal epilepsy syndromes may occur. Benign familial neonatal epilepsy, early myoclonic encephalopathy, and early infantile epileptic encephalopathy are well known neonatal epileptic syndromes. Understanding genetic heritages for these syndromes are being increasingly acknowledged [7]. Urgent need to understand possible underestimated underlying treatable neurometabolic issues is a matter of necessity in dealing with refractory neonatal epileptic syndromes.So, NS and neonatal epilepsy syndromes may represent a neglected area in medical practice among non- neonatologist primary care providers and adult neurologists in one side and neonatologists not interested in neonatal neurology in the other side. Bridges can cross over barriers and physicians can gain much benefit from comprehensive neonatal neurology training programs.

Complex sexual behaviors during sleep as a manifestation of epilepsy: a case series.

Complex sexual behavior during sleep (CSBS) is a well described clinical entity in nonrapid eye movement (NREM) sleep parasomnias (i.e. sexsomnia). We report a retrospective case series of CSBS as clinical manifestation of epileptic seizures and compare them with the semiology of sexsomnia. Video-electroencephalopraphy (EEG)-monitoring data of patients with epileptic and nonepileptic paroxysmal events from one tertiary epilepsy center between 2013 and 2016 were retrospectively reviewed. Clinical features and presurgical, electroclinical, and follow-up data are presented and then discussed in the context of other published cases. From 4,629 patients, 6 patients had CSBS. EEG, single photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), and histopathology confirmed an epileptic origin in four female patients, with temporal or frontal seizures. Two male patients had sexsomnia. None of the epilepsy patients had parasomnias. Clinical criteria to differentiate epileptic from parasomnic CSBS were: events also occurred out of wakefulness; current presence of additional nonsexual manifestations of epilepsy; sexual behavior only as part of a broad spectrum of emotional and motor automatisms; stereotyped behavior pattern without modulability by bystanders; unarousability during the event; no completion of sexual intercourse. The accuracy of the clinical diagnosis was improved by the development of an algorithm comparing patients' fulfillment of the criteria of epilepsy versus parasomnia. In our cohort, CSBS was a rare ictal phenomenon in temporal or frontal seizures. Symptomatological similiarities with sexsomnia might be explained by the same phylogenetically primitive "central pattern generator" manifesting in ictal CSBS by activation and in sexsomnia by disinhibition. Ictal CSBS should be considered in the differential diagnosis of sexsomnia.

Paroxysmal events during prolonged video-electroencephalography monitoring in refractory epilepsy

IntroductionGiven that epileptic seizures and non-epileptic paroxysmal events have similar clinical manifestations, using specific diagnostic methods is crucial, especially in patients with drug-resistant epilepsy. Prolonged video electroencephalography monitoring during epileptic seizures reveals epileptiform discharges and has become an essential procedure for epilepsy diagnosis. The main purpose of this study is to characterise paroxysmal events and compare patterns in patients with refractory epilepsy. MethodsWe conducted a retrospective analysis of medical records from 91 patients diagnosed with refractory epilepsy who underwent prolonged video electroencephalography monitoring during hospitalisation. ResultsDuring prolonged video electroencephalography monitoring, 76.9% of the patients (n=70) had paroxysmal events. The mean number of events was 3.4±2.7; the duration of these events was highly variable. Most patients (80%) experienced seizures during wakefulness. The most common events were focal seizures with altered levels of consciousness, progressive bilateral generalised seizures and psychogenic non-epileptic seizures. Regarding all paroxysmal events, no differences were observed in the number or type of events by sex, in duration by sex or age at onset, or in the number of events by type of event. Psychogenic nonepileptic seizures were predominantly registered during wakefulness, lasted longer, started at older ages, and were more frequent in women. ConclusionsParoxysmal events recorded during prolonged video electroencephalography monitoring in patients with refractory epilepsy show similar patterns and characteristics to those reported in other latitudes.

First‐ever convulsive seizures in children presenting to the emergency department: risk factors for seizure recurrence and diagnosis of epilepsy

Aetiologies of first-ever convulsive seizures may be diverse, not all leading to recurrence or epilepsy diagnosis. We aimed to describe the epidemiology of first-ever convulsive seizures in children, investigating risk factors for recurrence and epilepsy diagnosis. This was a retrospective study of children presenting with a first-ever convulsive seizure to a tertiary-care paediatric emergency department (PED) in Italy, in a 12-month period (2011-2012). One hundred and eight children (57 males, 51 females) presented to the PED for a first-ever convulsive seizure; 90.7% were 6months to 6years old (median age 1y 10mo, mean 2y 7mo, range 0mo-14y 4mo). Seizure duration was less than 5minutes in 76.8%. Seizures were 'unprovoked' in 19.4% and 'provoked' in 80.6%. At 4-year follow-up, 37.9% of patients experienced recurrence and 13.6% received a diagnosis of epilepsy. Factors significantly associated with recurrence were the 'unprovoked' nature of the first seizure, multiple seizures in the first 24hours, positive family history of febrile seizures or epilepsy, and pre-existing neurological conditions/problems. Factors significantly associated with a diagnosis of epilepsy were the 'unprovoked' nature of the first seizure, age older than 6years, pre-existing neurological conditions/problems, and focal onset of first seizure. Children presenting to the PED with first-ever convulsive seizures represent a heterogeneous group. The identification of prognostic factors for recurrence and epilepsy diagnosis may help provide tailored counselling and follow-up. Seizures were 'unprovoked' in 19.4% and 'provoked' in 80.6% of children presenting to the emergency department. At 4-year follow-up, 37.9% relapsed, and 13.6% received a diagnosis of epilepsy. 'Unprovoked' first seizure, family history of febrile seizures, and pre-existing neurological conditions were associated with recurrence. 'Unprovoked' first seizure, age younger than 6years, and pre-existing neurological conditions were associated with epilepsy diagnosis.

Non-epileptic paroxysmal events in early childhood and role of EEG: A single center experience

Aim: Non-epileptic paroxysmal events are the most frequently movement disorders mimicking epilepsy. Our aim in this article is to increase awareness among physicians by sharing our clinical experience; to reduce unnecessary anti-epileptic use and the number of examinations.Methods: In total73 patients were included in the study. Patients were evaluated according to detailed anamnesis, video recordings, laboratory findings and electroencephalography (EEG) findings.Results: The most common diagnosis in patients involved in the study was breath holding spells. The youngest age group was benign sleeping myoclonus. None of the patients had epileptiform activity in the EEG. Conclusion: Non-epileptic paroxysmal events commonly involve the unnecessary use of anti-epileptic medications due to mimicking of epilepsy. This study has shown that detailed anamnesis, EEG findings, and increasing use of mobile phone video reduce unnecessary treatment and examination in these patients.

General Principles of the Medical Management of Epilepsy in Children: A Literature Review

The primary aim of epilepsy treatment is seizure control, and the treatment is principally prophylactic. Although complete seizure control is the most important predictor of improved quality of life, antiepileptic drugs (AEDs) could cause severe side effects in the patients. Therefore, the risk-benefit ratio must be considered before the initiation of AED treatment. Accurate recognition and differentiation of epileptic and non-epileptic paroxysmal events and the diagnosis of the seizure type and epilepsy syndrome are essential procedures before AED treatment. It is often recommended that AED treatment start after two seizures, and being seizure-free for a minimum of two years is a prerequisite for treatment withdrawal. The AED treatment process must be initiated with a single drug at a low maintenance dose, along with further upward titration. Overall, the first attempt in AED treatment has been reported to effectively control seizures in 50-70% of the cases. Moreover, there is a consensus that being seizure-free for two years is the most valid approach to discontinue AED treatment. Approximately 50% of the children with epilepsy outgrow their disease. The present study aimed to provide a systematic method for the treatment and management of epilepsy in children.

Syncope in Pediatric Practice.

Syncope is defined as a sudden, self-limited loss of consciousness and postural tone followed by spontaneous and complete recovery without any neurological sequelae. It is one of the most common paroxysmal disorders in children and adolescents. The three major causes of syncope in children are neural, cardiovascular and other non-cardiovascular causes. The common unifying mechanism is transient global hypoperfusion of the brain. The diagnosis is primarily clinical and objective laboratory investigations add little to the diagnosis in children especially in neurocardiogenic subtype. Specific management depends on the underlying cause of syncope in children. For cardiac causes, management includes early referral to the pediatric cardiology specialist. When paroxysmal non-epileptic events are suspected, child psychology or psychiatry consultation should be sought to identify the stressors and counseling. For neurocardiogenic syncope, the main objective of treatment is to prevent recurrent events to improve the quality of life, psychological stress and school absenteeism by behavior and lifestyle modifications followed by drugs in refractory cases. The prognosis is excellent for neurocardiogenic syncope and is variable based on the underlying pathology in cardiogenic cases. As syncope is not a disease in itself but a symptom of an underlying disorder; hence, all children with syncope require assessment to exclude an underlying life-threatening cardiac or non-cardiac disorder.

Iron Supplement in Paroxysmal Non-epileptic Events in Children

Iron Supplement in Paroxysmal Non-epileptic Events in Children