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The clinical utility of non-invasive video-electroencephalographic monitoring has been diversifying

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Abstract

Background

Inpatient long-term video-electroencephalographic (VEEG) monitoring has been used extensively for differential diagnosis of paroxysmal events. We evaluated the diagnostic yield and clinical utility of VEEG performed in a comprehensive epilepsy center.

Method

We retrospectively reviewed all cases of VEEG performed from May 2003 to April 2018. We analyzed the data to determine its clinical utility and diagnostic yield.

Results

A total of 1335 cases were reviewed. After excluding 147 cases of intracranial recording and 163 cases with incomplete medical records, 1025 cases of VEEG were included. The mean duration of VEEG was 2.3 ± 1.6 days (range = 1–14). A total of 763 VEEGs documented epileptic seizures or interictal epileptiform discharges (IEDs) to confirm the diagnosis of epilepsy. There were 99 psychogenic non-epileptic seizure, 36 status epilepticus, and 34 VEEGs which revealed generalized or focal slow activities without any clinical seizures or IEDs. VEEG was normal in 170 cases. The diagnostic yield of VEEG varied from 83.4 to 88.4% depending on its definition. The proportion of epilepsy in total cases of VEEG continued to decrease from 77.2 to 61.4%. In contrast, the proportion of normal VEEG steadily increased from 4.1 to 24.1% during the same time period.

Conclusions

This study ascertained how useful VEEG is and the utility of VEEG has been diversifying in clinical circumstances beyond epilepsy. VEEG can play a pivotal role in the diagnostic approach to epilepsy and its differential diagnoses.

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Abbreviations

AED:

Antiepileptic drug

BP:

Blood pressure

EEG:

Electroencephalography

HR:

Heart rate

IEDs:

Interictal epileptiform discharges

MRI:

Magnetic resonance imaging

OH:

Orthostatic hypotension

PNES:

Psychogenic non-epileptic seizure

POTS:

Paroxysmal orthostatic tachycardia syndrome

VEEG:

Video-electroencephalographic monitoring

References

  1. Tatum WO, Rubboli G, Kaplan PW, Mirsatari SM, Radhakrishnan K, Gloss D, Caboclo LO, Drislane FW, Koutroumanidis M, Schomer DL, Kasteleijn-Nolst Trenite D, Cook M, Beniczky S (2018) Clinical utility of EEG in diagnosing and monitoring epilepsy in adults. Clin Neurophysiol 129(5):1056–1082. https://doi.org/10.1016/j.clinph.2018.01.019

    Article  CAS  PubMed  Google Scholar 

  2. Burkholder DB, Britton JW, Rajasekaran V, Fabris RR, Cherian PJ, Kelly-Williams KM, So EL, Nickels KC, Wong-Kisiel LC, Lagerlund TD, Cascino GD, Worrell GA, Wirrell EC (2016) Routine vs extended outpatient EEG for the detection of interictal epileptiform discharges. Neurology 86(16):1524–1530. https://doi.org/10.1212/wnl.0000000000002592

    Article  PubMed  PubMed Central  Google Scholar 

  3. Salinsky M, Kanter R, Dasheiff RM (1987) Effectiveness of multiple EEGs in supporting the diagnosis of epilepsy: an operational curve. Epilepsia 28(4):331–334

    Article  CAS  Google Scholar 

  4. Marsan CA, Zivin LS (1970) Factors related to the occurrence of typical paroxysmal abnormalities in the EEG records of epileptic patients. Epilepsia 11(4):361–381

    Article  CAS  Google Scholar 

  5. Baldin E, Hauser WA, Buchhalter JR, Hesdorffer DC, Ottman R (2014) Yield of epileptiform electroencephalogram abnormalities in incident unprovoked seizures: a population-based study. Epilepsia 55(9):1389–1398. https://doi.org/10.1111/epi.12720

    Article  PubMed  PubMed Central  Google Scholar 

  6. Gregory RP, Oates T, Merry RT (1993) Electroencephalogram epileptiform abnormalities in candidates for aircrew training. Electroencephalogr Clin Neurophysiol 86(1):75–77

    Article  CAS  Google Scholar 

  7. So EL (2010) Interictal epileptiform discharges in persons without a history of seizures: what do they mean? J Clin Neurophysiol 27(4):229–238. https://doi.org/10.1097/WNP.0b013e3181ea42a4

    Article  PubMed  Google Scholar 

  8. Benbadis SR, Lin K (2008) Errors in EEG interpretation and misdiagnosis of epilepsy. Which EEG patterns are overread? Eur Neurol 59(5):267–271. https://doi.org/10.1159/000115641

    Article  PubMed  Google Scholar 

  9. Benbadis SR, O’Neill E, Tatum WO, Heriaud L (2004) Outcome of prolonged video-EEG monitoring at a typical referral epilepsy center. Epilepsia 45(9):1150–1153. https://doi.org/10.1111/j.0013-9580.2004.14504.x

    Article  PubMed  Google Scholar 

  10. Binnie CD, Rowan AJ, Overweg J, Meinardi H, Wisman T, Kamp A, Lopes da Silva F (1981) Telemetric EEG and video monitoring in epilepsy. Neurology 31(3):298–303

    Article  CAS  Google Scholar 

  11. Shih JJ, Fountain NB, Herman ST, Bagic A, Lado F, Arnold S, Zupanc ML, Riker E, Labiner DM (2018) Indications and methodology for video-electroencephalographic studies in the epilepsy monitoring unit. Epilepsia 59(1):27–36. https://doi.org/10.1111/epi.13938

    Article  PubMed  Google Scholar 

  12. Ghougassian DF, d’Souza W, Cook MJ, O’Brien TJ (2004) Evaluating the utility of inpatient video-EEG monitoring. Epilepsia 45(8):928–932. https://doi.org/10.1111/j.0013-9580.2004.51003.x

    Article  PubMed  Google Scholar 

  13. Mohan KK, Markand ON, Salanova V (1996) Diagnostic utility of video EEG monitoring in paroxysmal events. Acta Neurol Scand 94(5):320–325

    Article  CAS  Google Scholar 

  14. Kumar-Pelayo M, Oller-Cramsie M, Mihu N, Harden C (2013) Utility of video-EEG monitoring in a tertiary care epilepsy center. Epilepsy Behav 28(3):501–503. https://doi.org/10.1016/j.yebeh.2013.06.015

    Article  CAS  PubMed  Google Scholar 

  15. Alving J, Beniczky S (2009) Diagnostic usefulness and duration of the inpatient long-term video-EEG monitoring: findings in patients extensively investigated before the monitoring. Seizure 18(7):470–473. https://doi.org/10.1016/j.seizure.2009.04.005

    Article  PubMed  Google Scholar 

  16. Jin B, Zhao Z, Ding Y, Guo Y, Shen C, Wang Z, Tang Y, Zhu J, Ding M, Wang S (2014) Diagnostic yield of inpatient video-electroencephalographic monitoring: experience from a Chinese comprehensive epilepsy center. Epilepsy Behav 34:77–80. https://doi.org/10.1016/j.yebeh.2014.03.010

    Article  CAS  PubMed  Google Scholar 

  17. Sutter R, Fuhr P, Grize L, Marsch S, Ruegg S (2011) Continuous video-EEG monitoring increases detection rate of nonconvulsive status epilepticus in the ICU. Epilepsia 52(3):453–457. https://doi.org/10.1111/j.1528-1167.2010.02888.x

    Article  PubMed  Google Scholar 

  18. Theitler J, Dassa D, Gandelman-Marton R (2017) The yield of non-elective inpatient video-EEG monitoring in adults. Neurol Sci 38(6):961–965. https://doi.org/10.1007/s10072-017-2872-2

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors wish to thank and acknowledge So-Young Do for her work on data processing.

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Correspondence to Keun Tae Kim.

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The study was approved by the ethics committee of the Keimyung University Dongsan Medical Center. The need for written informed consent was waived due to the study’s retrospective design.

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The authors declare that they have no conflict of interest.

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Cho, Y.W., Motamedi, G.K. & Kim, K.T. The clinical utility of non-invasive video-electroencephalographic monitoring has been diversifying. Neurol Sci 40, 2625–2631 (2019). https://doi.org/10.1007/s10072-019-04022-y

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