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Yavuz P, Gunbey C, Karahan S, Topcu M, Turanli G, Yalnizoglu D. Non-epileptic paroxysmal events at pediatric video-electroencephalography monitoring unit over a 15-year period. Seizure 2023; 108:89-95. [PMID: 37119582 DOI: 10.1016/j.seizure.2023.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/07/2023] [Accepted: 04/20/2023] [Indexed: 05/01/2023] Open
Abstract
OBJECTIVE Non-epileptic paroxysmal events (NEPEs) are common in pediatric patients and may be misdiagnosed as epileptic seizures. We aimed to study the distribution of NEPEs across age groups and with different comorbidities, and to correlate the patients' presenting symptoms with their final diagnosis after video-EEG. METHODS We retrospectively analyzed video-EEG recordings of children aged one month to 18 years who were admitted between March 2005 and March 2020. Patients who experienced any NEPE while under video-EEG monitorization were evaluated in this study. Subjects with concomitant epilepsy were also included. The patients were first divided into 14 groups according to the basic characteristics of symptoms they reported at admission. The events captured on video-EEG were then classified into six NEPE categories based on the nature of the events. These groups were compared according to video-EEG results. RESULTS We retrospectively evaluated 1338 records of 1173 patients. The final diagnosis was non-epileptic paroxysmal event in 226 (19.3%) of 1173 patients. The mean age of the patients was 105.4 ± 64.4 months at the time of the monitoring. The presenting symptoms were motor in 149/226 (65.9%) patients, with jerking being the most common (n = 40, 17.7%). Based on video-EEG, the most common NEPE was psychogenic non-epileptic seizures (PNES) (n = 66, 29.2%), and the most common PNES subtype was major motor movements (n = 19/66, 28.8%). Movement disorders (n = 46, 20.4%) were the second most common NEPE and the most common NEPE (n = 21/60, 35%) in children with developmental delay (n = 60). Other common NEPEs were physiological motor movements during sleep (n = 33, 14.6%), normal behavioral events (n = 31, 13.7%), and sleep disorders (n = 15, 6.6%). Almost half of the patients had a prior diagnosis of epilepsy (n = 105, 46.5%). Following the diagnosis of NEPE, antiseizure medication (ASM) was discontinued in 56 (24.8%) patients. CONCLUSION Non-epileptiform paroxysmal events can be difficult to distinguish from epileptic seizures in children, especially in patients with developmental delay, epilepsy, abnormal interictal EEG, or abnormal MRI findings. Correct diagnosis of NEPEs by video-EEG prevents unnecessary ASM exposure in children and guides appropriate management of NEPEs.
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Affiliation(s)
- Pinar Yavuz
- Hacettepe University Faculty of Medicine, Department of Pediatrics, Division of Pediatric Neurology, Ankara, Turkey
| | - Ceren Gunbey
- Hacettepe University Faculty of Medicine, Department of Pediatrics, Division of Pediatric Neurology, Ankara, Turkey
| | - Sevilay Karahan
- Hacettepe University Faculty of Medicine, Department of Biostatistics, Ankara, Turkey
| | - Meral Topcu
- Hacettepe University Faculty of Medicine, Department of Pediatrics, Division of Pediatric Neurology, Ankara, Turkey; Retired from Hacettepe University, Ankara, Turkey
| | - Guzide Turanli
- Hacettepe University Faculty of Medicine, Department of Pediatrics, Division of Pediatric Neurology, Ankara, Turkey; Retired from Hacettepe University, Ankara, Turkey
| | - Dilek Yalnizoglu
- Hacettepe University Faculty of Medicine, Department of Pediatrics, Division of Pediatric Neurology, Ankara, Turkey
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Heggstad N, Hafström M. Seizure-like events leading to hospital referrals in infants: A retrospective population-based study. Acta Paediatr 2021; 110:584-593. [PMID: 32648969 DOI: 10.1111/apa.15467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 06/15/2020] [Accepted: 07/06/2020] [Indexed: 11/29/2022]
Abstract
AIM To identify the aetiology and outcome of seizure-like events leading to hospital referrals in infants and to identify early predictors of epilepsy and delayed neurodevelopment. METHODS This Norwegian population-based study focused on all children born in Sør-Trøndelag county, who were up to one year of age in 2014-2015. They were identified by diagnostic codes for seizure-like events and electroencephalography (EEG) examinations. Hospital records were examined up to 1.5 years of age. RESULTS The one-year prevalence of seizure-like events was 1.5% (114/7430). Epilepsy was diagnosed in 17%, 57% had non-epileptic paroxysmal events (NEPE), 16% had febrile seizures, and 10% had other acute symptomatic epileptic seizures. Neurodevelopmental delay occurred in 21%. The cumulative incidence was 0.22% for epilepsy and 0.79% for NEPE. Abnormal brain magnetic resonance imaging, abnormal first EEGs and neonatal care increased the likelihood of epilepsy and delayed development. Identifying situation-related factors decreased the epilepsy risk. Occurrence at a younger age increased the risk of delayed development. Absence of unambiguous motor symptoms was less common in epilepsy than in NEPE. CONCLUSION Seizure-like events were common in infants and most were not caused by epilepsy. Specific anamnestic clues, and detailed descriptions of the entire event, helped to predict adverse outcomes.
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Affiliation(s)
- Norvald Heggstad
- Department of Clinical and Molecular Medicine Norwegian University of Science and Technology Trondheim Norway
| | - Maria Hafström
- Department of Clinical and Molecular Medicine Norwegian University of Science and Technology Trondheim Norway
- Department of Paediatrics St Olavs Hospital Trondheim Norway
- Department of Paediatrics, Institute of Clinical Science University of Gothenburg Gothenburg Sweden
- Angered Hospital Gothenburg Sweden
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Kim HJ, Jang HN, Ahn H, Yum MS, Ko TS. Development of a Risk Predictive Scoring System for Epilepsy in Infants with Paroxysmal Motor Events: A Retrospective Single-Center Study. ANNALS OF CHILD NEUROLOGY 2021. [DOI: 10.26815/acn.2021.00514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Purpose: Paroxysmal motor events are common clinical symptoms in infants visiting pediatric neurology clinics. Due to the heterogeneous clinical symptoms and the difficulty of interpreting electroencephalography (EEG) in infants, differentiating paroxysmal motor events from epileptic events is challenging. This study aimed to investigate the risk factors for the diagnosis of epilepsy in infants and to develop a scoring system that predicts the risk of epilepsy.Methods: We retrospectively analyzed data from patients who presented with paroxysmal motor events in infancy between January 2008 and December 2009 at Asan Medical Center. Electronic medical records were reviewed for patients’ demographics, medical history, clinical characteristics associated with specific situations, and motor symptoms. Laboratory findings, EEG, and brain magnetic resonance imaging were also reviewed. Results: In total, 111 infants with paroxysmal motor events were enrolled. Non-epileptic paroxysmal motor events (NEPMs) were associated with specific situations (P<0.001). Patients with epilepsy were likely to have focal motor symptoms (P=0.08), a medical history of a neurologic disorder, and/or a family history of epilepsy (P<0.05). A risk scoring system was developed based on these risk factors; using this system, infants with 2 or more points could be diagnosed with epilepsy with 61.76% sensitivity and 88.31% specificity.Conclusion: Infants with paroxysmal motor events were more likely to be diagnosed with NEPMs than with epilepsy. An absence of specific situations for paroxysmal events, focal motor seizures, and a medical history of another illness were associated with the final diagnosis of epilepsy.
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Keller SR, Mallack EJ, Rubin JP, Accardo JA, Brault JA, Corre CS, Elizondo C, Garafola J, Jackson-Garcia AC, Rhee J, Seeger E, Shullanberger KC, Tourjee A, Trovato MK, Waldman AT, Wallace JL, Wallace MR, Werner K, White A, Ess KC, Becker C, Eichler FS. Practical Approaches and Knowledge Gaps in the Care for Children With Leukodystrophies. J Child Neurol 2021; 36:65-78. [PMID: 32875938 PMCID: PMC7736398 DOI: 10.1177/0883073820946154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Leukodystrophies are a group of neurodegenerative genetic disorders that affect approximately 1 in 7500 individuals. Despite therapeutic progress in individual leukodystrophies, guidelines in neurologic care are sparse and consensus among physicians and caregivers remains a challenge. At patient advocacy meetings hosted by Hunter's Hope from 2016-2018, multidisciplinary experts and caregivers met to conduct a literature review, identify knowledge gaps and summarize best practices regarding neurologic care. Stages of severity in leukodystrophies guided recommendations to address different levels of need based on a newly defined system of disease severity. Four core neurologic domains prioritized by families were identified and became the focus of this guideline: sleep, pain, seizures/epilepsy, and language/cognition. Based on clinical severity, the following categories were used: presymptomatic, early symptomatic, intermediate symptomatic, and advanced symptomatic. Across the leukodystrophies, neurologic care should be tailored to stages of severity while accounting for unique aspects of every disease and multiple knowledge gaps present. Standardized tools and surveys can help guide treatment but should not overburden families.
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Affiliation(s)
- Stephanie R. Keller
- Department of Pediatrics, Division of Pediatric Neurology, Emory University/Children’s Healthcare of Atlanta, Atlanta, GA, USA
| | - Eric J. Mallack
- Department of Pediatrics, Division of Child Neurology, Weill Cornell
Medical College/New York-Presbyterian Hospital, New York, NY, USA
| | - Jennifer P. Rubin
- Department of Pediatric Neurology, Northwestern Feinberg School of
Medicine, Chicago, IL, USA
| | - Jennifer A. Accardo
- Department of Neurology, Children’s Hospital of Richmond at VCU,
Richmond, VA, USA
| | - Jennifer A. Brault
- Department of Pediatrics, Division of Pediatric Neurology Vanderbilt University Medical Center, Nashville, TN, USA
| | - Camille S. Corre
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Camila Elizondo
- East Boston Neighborhood Health Canter, East Boston, MA, USA
| | - Jennifer Garafola
- Department of Pediatrics, Division of Pediatric Neurology Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Jullie Rhee
- Children’s National Health Systems, Washington, DC, USA
| | | | | | - Amanda Tourjee
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Melissa K. Trovato
- Department of Physical Medicine and Rehabilitation, Kennedy Krieger Institute and Johns Hopkins University, Baltimore, MD, USA
| | - Amy T. Waldman
- Division of Neurology, The Children’s Hospital of Philadelphia,
University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Klaus Werner
- Department of Pediatrics, Duke University, Durham, NC, USA
| | - Angela White
- Department of Pediatrics, Division of Pediatric Neurology Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kevin C. Ess
- Department of Pediatrics, Division of Pediatric Neurology Vanderbilt University Medical Center, Nashville, TN, USA
| | - Catherine Becker
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Florian S. Eichler
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA,Florian S. Eichler, MD, Department of
Neurology, Massachusetts General Hospital, 175 Cambridge Street, Suite 340,
Boston, MA 02114, USA.
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Operto FF, Coppola G, Mazza R, Pastorino GMG, Campanozzi S, Margari L, Roccella M, Marotta R, Carotenuto M. Psychogenic nonepileptic seizures in pediatric population: A review. Brain Behav 2019; 9:e01406. [PMID: 31568694 PMCID: PMC6908892 DOI: 10.1002/brb3.1406] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/06/2019] [Accepted: 08/11/2019] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Psychogenic nonepileptic seizures (PNES) are observable abrupt paroxysmal changes in behavior or consciousness that resemble epileptic seizures, but without concurrent electroencephalographic abnormalities. METHODS In this manuscript, we reviewed literature concerning pediatric PNES and focused on those articles published in the last 10 years, in order to try to understand what the state of the art is at the moment, particularly as regards relationship and differential diagnosis with epilepsy. RESULTS Psychogenic nonepileptic seizures have been extensively described in literature mainly in adults and less frequently in children. Despite the potential negative impact of a misdiagnosis (unnecessary investigations and antiepileptic drugs, structured pathological behavioral patterns), in literature there is little information regarding the real prevalence, clinical features, treatment, and outcome of PNES in children and adolescents. CONCLUSION Psychogenic nonepileptic seizures are common but frequently missed entity in pediatric population. Diagnosis could be difficult, especially in those children who have both epileptic and nonepileptic seizures; video EEG and home video can help clinicians in diagnosis. More studies are needed to better classify PNES in children and facilitate diagnosis and treatment.
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Affiliation(s)
- Francesca Felicia Operto
- Child Neuropsychiatry Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Giangennaro Coppola
- Child Neuropsychiatry Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Roberta Mazza
- Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Grazia Maria Giovanna Pastorino
- Child Neuropsychiatry Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy.,Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Stella Campanozzi
- Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Lucia Margari
- Child Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Michele Roccella
- Department of Psychological, Pedagogical and Educational Sciences, University of Palermo, Palermo, Italy
| | - Rosa Marotta
- Department of Health Sciences, University "Magna Graecia", Catanzaro, Italy
| | - Marco Carotenuto
- Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
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