medigraphic.com
SPANISH

Revista Mexicana de Neurociencia

Academia Mexicana de Neurología, A.C.
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2012, Number 6

<< Back Next >>

Rev Mex Neuroci 2012; 13 (6)

Interobserver variability in EEGs reading by using a Cleveland Clinic Foundation standardized electroencephalographic scale

Miranda-Nava G, Shkurovich-Bialik P, Ortega-Ponce F
Full text How to cite this article

Language: Spanish
References: 30
Page: 306-313
PDF size: 242.75 Kb.


Key words:

Interobserver variability, EEG differences, Cleveland Clinic Foundation, scale, electroencephalogram, neurofisiology.

ABSTRACT

Introduction: The EEG is possibly the most frequently performed procedure in the study of neurological patients, but its diagnostic value depends on the person who interprets the study. This may vary depending on factors such as the experience of the interpreter, mode of study observation (digital screen or printed), and patients’ clinical presentation, often leading to inherent flaws in diagnosis and prognosis. Objective: To analyze the interobserver variability between different physicians, certified neurologists and neurophysiologists, for reading conventional electroencephalogram, using the scale of the Cleveland Clinic Foundation. Methods: A random quota sampling was performed. Of the 93 EEGs observed during the study period, 31 were selected. Subsequently 3 neurologists and 3 neurophysiologists, had they were asked to interpret the selected EEGs, which consisted of 10 sheets, with sensitivity 7 µV/mm and speed of 10 seconds per page. Each clinician had a maximum of 2 min per study for interpretation and qualification. Results: Only 9 (29%) of the EEGs were classified as normal. It was found a slightly higher agreement among neurophysiologists (from 0.64 to 0.82) than among neurologists (from 0.64 to 0.72) in the classification of EEGs. Conclusions: Wide interobserver variability was found for the classification of EEGs, with differences according to the specialty of examining physicians.


REFERENCES

  1. The Clinical Neurophysiology primer. Andrew s. Blum. Rutkove Seward B.2007. Humana press. Totowa, New Jersey.

  2. Handbook of EEG interpretation. Tatum, William O. Husain Atif, benbadis Selim. 2008. Demos Medical Publishing.

  3. Abend NS, Gutierrez-Colina A, Zhao H, Guo R, Marsh E, Clancy RR, Dlugos DJ. Interobserver Reproducibility of Electroencephalogram Interpretation in Critically Ill patients. J Clin Neurophysiol 2011; 28: 15-19.

  4. Bozorg AM, Lacayo JC, Benbadis SR. The Yield of Routine Outpatient Electroencephalograms in the Veteran Population. J Clin Neurophysiol 2010; 27: 191-2.

  5. Atlas and Classification of Electroencephalography. Hans O. Lüders, Soheyl Noachtar 2000.

  6. Andrade-Machado R, Goicoechea-Astencio A, Santos-Santos A, Diéguez- Ramos A, Andrés-Solartes MR, Toledo-Sotomayor G, et al. ¿Puede y debe ser sustituida la clasificación de la ILAE por una clasificación basada en la semiología? Rev Mex Neuroci 2012; 13: 187-204.

  7. Janati A, Erba G. Electroencephalographic correlates of near-drowning encephalopathy in children. Electroencephalogr Clin Neurophysiol 1982; 53: 182-91.

  8. Janati A, Archer A, Osteen PK. Coexistence of ectopic rhythms and periodic EEG pattern in anoxic encephalopathy. Clin Electroencephalogram 1986; 17: 187-94.

  9. Ronner HE, Ponten SC, Stam CJ, Uitdehaag BM. Inter-observer variability of the EEG diagnosis of seizures in comatose patients. Seizure 2009; 18: 257-63.

  10. Benbadis SR. Differential diagnosis of epilepsy. Continuum Lifelong Learning Neurol 2007; 13: 48-70.

  11. Benbadis SR, Tatum WO. Over-interpretation of EEG’s and misdiagnosis of epilepsy. J Clin Neurophysiol 2003; 20: 42-4.

  12. Benbadis SR, Lin K. Errors in EEG interpretation and misdiagnosis of epilepsy. Which EEG patterns are overread? Eur Neurol 2008; 59: 267-71.

  13. Benbadis SR. Errors in EEG’s and the misdiagnosis of epilepsy: importance, causes, consequences, and proposed remedies. Epilepsy Behav 2007; 11: 257-62.

  14. Engel J. A practical guide for routine EEG studies in epilepsy. J Clin Neurophysiol 1984; 1: 109-42.

  15. Hernandez-Frau PE, Benbadis SR. Errors in EEG interpretations. What is misinterpreted besides temporal sharp transients? Neurology 2011; 76: 57-9.

  16. García-Huerta LG, Gutiérrez-Moctezuma J, Solórzano-Gómez E. Manifestaciones electroclínicas por videoelectroencefalograma en niños con epilepsia del lóbulo frontal. Rev Mex Neuroci 2012; 13: 259-66.

  17. Azuma H, Hori S, Nakanishi M, Fujimoto S, Ichikawa N, Furukawa TA. An intervention to improve the interrater reliability of clinical EEG interpretations. Psychiatry Clin Neurosci 2003; 57: 485-9.

  18. Little SC, Raffel SC. Intra-rater reliability of EEG interpretations. J Nerv Ment Dis 1962; 135: 77-81.

  19. Stroink H, Schimsheimer RJ, de Weerd AW, Geerts AT, Arts WF, Peeters EA, Brouwer OF, et al. Interobserver reliability of visual interpretation of electroencephalograms in children with newly diagnosed seizures. Dev Med Child Neurol 2006; 48: 374-7.

  20. Halford JJ, Pressly WB, Benbadis SR, Tatum WO 4th, Turner RP, Arain A, Pritchard PB, et al. Web-Based Collection of Expert Opinion on Routine Scalp EEG: Software Development and Interrater Reliability. J Clin Neurophysiol 2011; 28: 178-84.

  21. Van Donselaar C, Stroink H, Willem-Frans. How Confident Are We of the Diagnosis of Epilepsy? Epilepsia 2006; 47(Suppl. 1): 9-13.

  22. Gilbert DL, Sethuraman G, Kotagal U, Buncher CR. Meta-analysis of EEG test performance shows wide variation among studies. Neurology 2002; 60: 564-70.

  23. Camfield P, Gordon K, Camfield C, Tibbles J, Dooley J, Smith B. EEG results are rarely the same if repeated within six months in childhood epilepsy. Can J Neurol Sci 1995; 22: 297-300.

  24. Andersson T, Braathen G, Persson A, Theorell K. A comparison between one and three years of treatment in uncomplicated childhood epilepsy: a prospective study. II. The EEG as predictor of outcome after withdrawal of treatment. Epilepsia 1997; 38: 225-32.

  25. Fleiss JL, Cohen J, Everitt BS. Large sample standard errors of kappa and weighted kappa. Psychol Bull 1969; 72: 323-7.

  26. Sackett DL, et al. Epidemiología clínica. Una ciencia básica para la Medicina Clínica. Madrid, España: Ediciones Díaz de Santos, S.A.; 1985.

  27. Gerber PA, Chapman KE, Chung SS, Drees C, Maganti RK, Ng YT, et al. Interobserver agreement in the interpretation of EEG patterns in critically ill adults. J Clin Neurophysiol 2008; 25: 241-9.

  28. Young GB, McLachlan RS, Kreeft JH, Demelo JD. An electroencephalographic classification for coma. Can J Neurol Sci 1997; 24: 320-5.

  29. Azuma H, Hori S, Nakanishi M, Fujimoto S, Ichikawa N, Furukawa TA. An intervention to improve the interrater reliability of clinical EEG interpretations. Psychiatry Clin Neurosci 2003; 57: 485-9.

  30. Andrade-Bañuelos A, Jean-Tron G, Ortega-Ponce F, Arnold ST, Said R, Prince A, Cortina-Ramírez M. Evaluación del tratamiento quirúrgico temprano en lactantes con epilepsias catastróficas asociadas a displasias corticales. Rev Mex Neuroci 2012; 13: 132-8.




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Rev Mex Neuroci. 2012;13