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Karakas C, Ferreira LD, Haneef Z. Use of video alone for differentiation of epileptic seizures from non-epileptic spells: A systematic review and meta-analysis. Seizure 2023; 110:177-187. [PMID: 37406461 DOI: 10.1016/j.seizure.2023.06.022] [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: 04/03/2023] [Revised: 06/13/2023] [Accepted: 06/28/2023] [Indexed: 07/07/2023] Open
Abstract
INTRODUCTION Review of videos (without electroencephalography) to differentiate epileptic seizures (ES) from non-epileptic spells (NES) may be helpful where epilepsy monitoring is not feasible. Previous studies of video-based diagnosis have suffered from variable accuracy, sensitivity, and specificity. METHODS We systematically reviewed relevant literature in PubMed, Embase, and Web of Science from inception to September 2022, identifying articles that reported on the video-based diagnosis of ES and NES. In primary analysis, for each study, the most expert group was chosen when different groups of reviewers classified the videos (e.g., epilepsy specialists and general neurologists). In secondary analysis, we compared the diagnostic accuracy of different expertise levels (e.g., epileptologists, general neurologists, residents, medical students). Meta-analysis was performed to obtain pooled estimates of reliability measures. RESULTS From 5245 articles identified, 13 met the inclusion criteria, with cumulative data from 683 patients (696 videos) reviewed by 95 independent reviewers in primary analysis. Video alone had a strong ability to differentiate ES from NES as evidenced by the following metrics- area under the curve- 0.9 (considered "outstanding"), sensitivity- 82.2% (95% Confidence Interval [C.I], 80.2%-84.0%), specificity- 84.7% (C.I., 82.8%-86.5%), and diagnostic odds ratio- 24.7 (C.I., 11.5-52.9). The secondary analysis showed reviewer-dependent accuracy with epileptologists showing the highest accuracy (DOR 81.2, C.I., 90.0%-94.6%). CONCLUSIONS Video alone has reliable diagnostic performance for differentiating ES from NES. Meta-analysis limitations include inter-study heterogeneity including variable video quality and reviewer expertise. Combined video-EEG remains the gold standard for the diagnosis of epilepsy and NES.
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Affiliation(s)
- Cemal Karakas
- Division of Pediatric Neurology, Department of Neurology, University of Louisville, Louisville, KY, USA 40202; Norton Children's Medical Group, Louisville, KY, USA 40202.
| | - Liam D Ferreira
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA 77030
| | - Zulfi Haneef
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA 77030; Neurology Care Line, VA Medical Center, Houston, TX, USA 77030
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Varley D, Sweetman J, Brabyn S, Lagos D, van der Feltz-Cornelis C. The clinical management of functional neurological disorder: A scoping review of the literature. J Psychosom Res 2023; 165:111121. [PMID: 36549074 DOI: 10.1016/j.jpsychores.2022.111121] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 12/13/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To date, there have been no reviews bringing together evidence on the clinical management of functional neurological disorder (FND) and patients', caregivers', and healthcare workers' experiences. This review provides an overview of the literature focused on the clinical management of FND. METHODS Four databases were searched, and a consultation exercise was conducted to retrieve relevant records dated from September 2010 to September 2020. Articles documenting diagnostic methods, treatments or interventions, or the experiences and perspectives of patients and healthcare workers in the clinical management of FND were included. RESULTS In total, 2756 records were retrieved, with 162 included in this review. The diagnostic methods reported predominantly included positive clinical signs, v-EEG and EEG. Psychological treatments and medication were the most reported treatments. Mixed findings of the effectiveness of CBT were found. Haloperidol, physiotherapy and scripted diagnosis were found to be effective in reducing FND symptoms. Several facilitators and barriers for patients accessing treatment for FND were reported. CONCLUSION The literature describing the clinical management for FND has increased considerably in recent times. A wide variety of diagnostic tools and treatments and interventions were found, with more focus being placed on tests that confirm a diagnosis than 'rule-out' tests. The main treatment type found in this review was medication. This review revealed that there is a lack of high-quality evidence and reflects the need for official clinical guidelines for FND, providing healthcare workers and patients the support needed to navigate the process to diagnose and manage FND.
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Affiliation(s)
- Danielle Varley
- Department of Health Sciences, University of York, York YO10 5DD, UK.
| | - Jennifer Sweetman
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Sally Brabyn
- Department of Health Sciences, University of York, York YO10 5DD, UK
| | - Dimitris Lagos
- Hull York Medical School, University of York, York YO10 5DD, UK
| | - Christina van der Feltz-Cornelis
- Department of Health Sciences, University of York, York YO10 5DD, UK; Hull York Medical School, University of York, York YO10 5DD, UK; York Biomedical Research Institute, University of York, York YO10 5DD, UK; Institute of Health Informatics, University College London, London NW1 2DA, UK
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Tatum WO, Hirsch LJ, Gelfand MA, Acton EK, LaFrance WC, Duckrow RB, Chen D, Blum AS, Hixson J, Drazkowski J, Benbadis S, Cascino GD. Video quality using outpatient smartphone videos in epilepsy: Results from the OSmartViE study. Eur J Neurol 2021; 28:1453-1462. [PMID: 33465822 DOI: 10.1111/ene.14744] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/30/2020] [Accepted: 01/13/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND AND PURPOSE The aim of this study was to evaluate the quality of smartphone videos (SVs) of neurologic events in adult epilepsy outpatients. The use of home video recording in patients with neurological disease states is increasing. Experts interpretation of outpatient smartphone videos of seizures and neurological events has demonstrated similar diagnostic accuracy to inpatient video-electroencephalography (EEG) monitoring. METHODS A prospective, multicenter cohort study was conducted to evaluate SV quality in patients with paroxysmal neurologic events from August 15, 2015 through August 31, 2018. Epileptic seizures (ESs), psychogenic nonepileptic attacks (PNEAs), and physiologic nonepileptic events (PhysNEEs) were confirmed by video-EEG monitoring. Experts and senior neurology residents blindly viewed cloud-based SVs without clinical information. Quality ratings with regard to technical and operator-driven metrics were provided in responses to a survey. RESULTS Forty-four patients (31 women, age 45.1 years [r = 20-82]) were included and 530 SVs were viewed by a mean of seven experts and six residents; one video per patient was reviewed for a mean of 133.8 s (r = 9-543). In all, 30 patients had PNEAs, 11 had ESs, and three had PhysNEEs. Quality was suitable in 70.8% of SVs (375/530 total views), with 36/44 (81.8%) patient SVs rated as adequate by the majority of reviewers. Accuracy improved with the presence of convulsive features from 72.4% to 98.2% in ESs and from 71.1% to 95.7% in PNEAs. An accurate diagnosis was given by all reviewers (100%) in 11/44 SVs (all PNEAs). Audio was rated as good by 86.2% of reviewers for these SVs compared with 75.4% for the remaining SVs (p = 0.01). Lighting was better in SVs associated with high accuracy (p = 0.06), but clarity was not (p = 0.59). Poor video quality yielded unknown diagnoses in 24.2% of the SVs reviewed. Features hindering diagnosis were limited interactivity, restricted field of view and short video duration. CONCLUSIONS Smartphone video quality is adequate for clinical interpretation in the majority of patients with paroxysmal neurologic events. Quality can be optimized by encouraging interactivity with the patient, adequate duration of the SV, and enlarged field of view during videography. Quality limitations were primarily operational though accuracy remained for SV review of ESs and PNEAs.
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Affiliation(s)
| | | | - Michael A Gelfand
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Emily K Acton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - W Curt LaFrance
- Department of Neurology, Brown University, Providence, RI, USA
| | | | - David Chen
- Department of Neurology, Baylor University, Houston, TX, USA
| | - Andrew S Blum
- Department of Neurology, Brown University, Providence, RI, USA
| | - John Hixson
- University of California, San Francisco, CA, USA
| | | | - Selim Benbadis
- Department of Neurology, University of South Florida, Tampa, FL, USA
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Janocko NJ, Jing J, Fan Z, Teagarden DL, Villarreal HK, Morton ML, Groover O, Loring DW, Drane DL, Westover MB, Karakis I. DDESVSFS: A simple, rapid and comprehensive screening tool for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures. Epilepsy Res 2021; 171:106563. [PMID: 33517166 DOI: 10.1016/j.eplepsyres.2021.106563] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 12/31/2020] [Accepted: 01/17/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Functional seizures (FS) are often misclassified as epileptic seizures (ES). This study aimed to create an easy to use but comprehensive screening tool to guide further evaluation of patients presenting with this diagnostic dilemma. MATERIALS AND METHODS Demographic, clinical and diagnostic data were collected on patients admitted for video-EEG monitoring for clarification of their diagnosis. Upon discharge, patients were classified as having ES vs FS. Using the collected characteristics and video-EEG diagnosis, we created a multivariable logistic regression model to identify predictors of ES. Then, we trained an integer-coefficient model with the most frequently selected predictors, creating a pointing system coined DDESVSFS, with scores ranging from -17 to +8 points. RESULTS 43 patients with FS and 165 patients with ES were recruited. In the final integer-coefficient model, 8 predictors were identified as significant in differentiating ES from FS: normal electroencephalogram (-3 points), predisposing factors for FS (-3 points), increased number of comorbidities (-3 points), semiology suggestive of FS (-4 points), increased seizure frequency (-4 points), longer disease duration (+3 points), antiepileptic polypharmacy (+2 points) and compliance with antiepileptic drugs (+3 points). Cumulative scores of ≤ -9 points carried <5% predictive value for ES, while cumulative scores of ≥ -1 points carried >95% predictive value. The model performed well (AUC: 0.923, sensitivity: 0.945, specificity: 0.698). CONCLUSIONS We propose DDESVSFS as a simple, rapid and comprehensive prediction score for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures. Large prospective studies are needed to evaluate its utility in clinical practice.
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Affiliation(s)
- Nicholas J Janocko
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Jin Jing
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ziwei Fan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Diane L Teagarden
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Hannah K Villarreal
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Matthew L Morton
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Olivia Groover
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - David W Loring
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Daniel L Drane
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, University of Washington, Seattle, WA, USA
| | - M Brandon Westover
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ioannis Karakis
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
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Clinical utility of home videos for diagnosing epileptic seizures: a systematic review and practical recommendations for optimal and safe recording. Neurol Sci 2021; 42:1301-1309. [PMID: 33471259 PMCID: PMC7815499 DOI: 10.1007/s10072-021-05040-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 01/04/2021] [Indexed: 11/17/2022]
Abstract
Background The aim of the present systematic revision is to analyze existing published reports about the use of home-videos recordings (HVRs) to support physicians in the differential diagnosis of paroxysmal seizure-like episodes (PSLE). We also developed practical recommendations in order to ensure adequate quality standards and safety advice for HVRs. Material and methods A comprehensive search of PubMed, Medline, Scopus, and Google Scholar was performed, and results were included up to July 2020. All studies concerning the use of HVRs as a diagnostic tool for patients presenting PSLE were included. Results Seventeen studies satisfied all inclusion and exclusion criteria and were considered for the review. A consistent boost in diagnostic and clinical decision-making was reported across all studies in the literature. One study found that HVRs decreased the stress level in many families and improved their quality of life. Training in performing good-quality videos is necessary and increases the diagnostic value of HVRs. Conclusions HVRs can be of diagnostic value in epilepsy diagnosis and management. HVRs are low cost, widespread, and may provide great support for neurologists. It is important to train patients and caregivers in performing good quality videos to optimize this useful tool and to guarantee safety standards during the recording. Supplementary Information The online version contains supplementary material available at 10.1007/s10072-021-05040-5.
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An Overview of Psychogenic Non-Epileptic Seizures: Etiology, Diagnosis and Management. Can J Neurol Sci 2018; 45:130-136. [DOI: 10.1017/cjn.2017.283] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
AbstractThe purpose of this review is to provide an update of the research regarding the etiology, diagnosis and management of psychogenic non-epileptic seizures (PNES). A literature search using Pubmed, Ovid MEDLINE and EMBASE database was performed from 2000 up to August 2017. We have evaluated the different factors leading to PNES as well as the diagnostic approach and management of this disorder which continue to be very difficult. The coexistence of epilepsy and PNES poses special challenges and requires the coordinated efforts of the family physicians, psychiatrists, psychologists and neurologists. Although this condition has an overall poor prognosis, a multidisciplinary approach in the diagnosis and management of this disorder would likely improve the outcomes. We have proposed a diagnostic and treatment algorithm for PNES and suggested a national registry of patients suffering from this condition. The registry would contain data regarding treatment and outcomes to aid in the understanding of this entity.
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Hanrahan B, Ghearing G, Urban A, Plummer C, Pan J, Hendrickson R, Bagic A, Antony A. Diagnostic accuracy of paroxysmal spells: Clinical history versus observation. Epilepsy Behav 2018; 78:73-77. [PMID: 29175694 DOI: 10.1016/j.yebeh.2017.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 09/06/2017] [Accepted: 09/07/2017] [Indexed: 10/18/2022]
Abstract
Our goal was to evaluate how accurate neurologists are at differentiating between different paroxysmal events based on clinical history versus observation of the spell in question. Forty-seven neurologists reviewed 12 clinical histories and videos of recorded events of patients admitted in the Epilepsy Monitoring Unit (EMU). They were asked to diagnose events as epileptic seizures, non-epileptic behavioral spells (NEBS), or other physiologic events as well as rate their confidence in their diagnosis. The median diagnostic accuracy for all paroxysmal events was 67% for clinical history and 75% for observation (p=.001). This was largely due to the difference in accuracy within the subgroup of patients with NEBS (67% history vs. 83% observation, p<.001). There were trends for higher diagnostic accuracy and increased inter-rater agreement with higher levels of training. Physicians with higher levels of training were more confident with diagnosis based on observation. In summary, reviewing videos of paroxysmal spells may improve diagnostic accuracy and enhance the evaluation of patients. Neurologists at all levels of training should encourage the recording and review of videos of recurrent spells to aid in medical decision-making especially when there is high concern that the spells in question are NEBS.
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Affiliation(s)
| | - Gena Ghearing
- University of Iowa Carver School of Medicine, Department of Neurology, USA.
| | | | | | - Julie Pan
- UPMC Pittsburgh, Department of Neurology, USA.
| | | | - Anto Bagic
- UPMC Pittsburgh, Department of Neurology, USA.
| | - Arun Antony
- UPMC Pittsburgh, Department of Neurology, USA.
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Engaging psychiatrists in the diagnosis of psychogenic nonepileptic seizures. What can they contribute? Seizure 2017; 52:182-187. [DOI: 10.1016/j.seizure.2017.10.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 10/12/2017] [Accepted: 10/13/2017] [Indexed: 11/19/2022] Open
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Erba G, Giussani G, Juersivich A, Magaudda A, Chiesa V, Laganà A, Di Rosa G, Bianchi E, Langfitt J, Beghi E. The semiology of psychogenic nonepileptic seizures revisited: Can video alone predict the diagnosis? Preliminary data from a prospective feasibility study. Epilepsia 2016; 57:777-85. [DOI: 10.1111/epi.13351] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2016] [Indexed: 11/30/2022]
Affiliation(s)
- Giuseppe Erba
- Department of Neurology; SEC; University of Rochester; Rochester New York U.S.A
| | - Giorgia Giussani
- Laboratory of Neurological Disorders; Department of Neuroscience; IRCCS-Pharmacological Research Institute “Mario Negri”; Milan Italy
| | - Adam Juersivich
- Department of Neurology; SEC; University of Rochester; Rochester New York U.S.A
| | - Adriana Magaudda
- Department of Neuroscience; Epilepsy Center; University of Messina; Messina Italy
| | - Valentina Chiesa
- Neurology Unit 2; Epilepsy Center; San Paolo Hospital; Milan Italy
| | - Angela Laganà
- Department of Neuroscience; Epilepsy Center; University of Messina; Messina Italy
| | - Gabriella Di Rosa
- Department of Pediatric, Gynecological, Microbiological and Biomedical Science; Unit of Infantile Neuropsychiatry; University of Messina; Messina Italy
| | - Elisa Bianchi
- Laboratory of Neurological Disorders; Department of Neuroscience; IRCCS-Pharmacological Research Institute “Mario Negri”; Milan Italy
| | - John Langfitt
- Department of Neurology; SEC; University of Rochester; Rochester New York U.S.A
| | - Ettore Beghi
- Laboratory of Neurological Disorders; Department of Neuroscience; IRCCS-Pharmacological Research Institute “Mario Negri”; Milan Italy
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