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Use of EEG in critically ill children and neonates in the United States of America

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Abstract

The objective of the study was to estimate the proportion of patients who receive an electroencephalogram (EEG) among five common indications for EEG monitoring in the intensive care unit: traumatic brain injury (TBI), extracorporeal membrane oxygenation (ECMO), cardiac arrest, cardiac surgery and hypoxic-ischemic encephalopathy (HIE). We performed a retrospective cross-sectional descriptive study utilizing the Kids’ Inpatient Database (KID) for the years 2010–2012. The KID is the largest pediatric inpatient database in the USA and it is based on discharge reports created by hospitals for billing purposes. We evaluated the use of electroencephalogram (EEG) or video-electroencephalogram in critically ill children who were mechanically ventilated. The KID database had a population of approximately 6,000,000 pediatric admissions. Among 22,127 admissions of critically ill children who had mechanical ventilation, 1504 (6.8%) admissions had ECMO, 9201 (41.6%) TBI, 4068 (18.4%) HIE, 2774 (12.5%) cardiac arrest, and 4580 (20.7%) cardiac surgery. All five conditions had a higher proportion of males, with the highest (69.8%) in the TBI group. The mortality rates ranged from 7.02 to 39.9% (lowest in cardiac surgery and highest in ECMO). The estimated use of EEG was 1.6% in cardiac surgery, 4.1% in TBI, 7.2% in ECMO, 8.2% in cardiac arrest, and 12.1% in HIE, with an overall use of 5.8%. Among common indications for EEG monitoring in critically ill children and neonates, the estimated proportion of patients actually having an EEG is low.

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References

  1. Abend NS et al (2011) Nonconvulsive seizures are common in critically ill children. Neurology 76(12):1071–1077

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Hosain SA, Solomon GE, Kobylarz EJ (2005) Electroencephalographic patterns in unresponsive pediatric patients. Pediatr Neurol 32(3):162–165

    Article  PubMed  Google Scholar 

  3. Jette N et al (2006) Frequency and predictors of nonconvulsive seizures during continuous electroencephalographic monitoring in critically ill children. Arch Neurol 63(12):1750–1755

    Article  PubMed  Google Scholar 

  4. Abend NS, Dlugos DJ (2007) Nonconvulsive status epilepticus in a pediatric intensive care unit. Pediatr Neurol 37(3):165–170

    Article  PubMed  Google Scholar 

  5. Alehan FK, Morton LD, Pellock JM (2001) Utility of electroencephalography in the pediatric emergency department. J Child Neurol 16(7):484–487

    Article  CAS  PubMed  Google Scholar 

  6. Shahwan A et al (2010) The prevalence of seizures in comatose children in the pediatric intensive care unit: a prospective video-EEG study. Epilepsia 51(7):1198–1204

    Article  PubMed  Google Scholar 

  7. Williams K, Jarrar R, Buchhalter J (2011) Continuous video-EEG monitoring in pediatric intensive care units. Epilepsia 52(6):1130–1136

    Article  PubMed  Google Scholar 

  8. Kirkham FJ et al (2012) Seizures in 204 comatose children: incidence and outcome. Intensive Care Med 38(5):853–862

    Article  PubMed  PubMed Central  Google Scholar 

  9. Abend NS et al (2009) Electroencephalographic monitoring during hypothermia after pediatric cardiac arrest. Neurology 72(22):1931–1940

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Tay SK et al (2006) Nonconvulsive status epilepticus in children: clinical and EEG characteristics. Epilepsia 47(9):1504–1509

    Article  PubMed  Google Scholar 

  11. Greiner HM et al (2012) Nonconvulsive status epilepticus: the encephalopathic pediatric patient. Pediatrics 129(3):e748–e755

    Article  PubMed  Google Scholar 

  12. Saengpattrachai M et al (2006) Nonconvulsive seizures in the pediatric intensive care unit: etiology, EEG, and brain imaging findings. Epilepsia 47(9):1510–1518

    Article  PubMed  Google Scholar 

  13. Topjian AA et al (2013) Electrographic status epilepticus is associated with mortality and worse short-term outcome in critically ill children. Crit Care Med 41(1):215–223

    Article  PubMed  Google Scholar 

  14. Abend NS et al (2013) Electrographic seizures in pediatric ICU patients: cohort study of risk factors and mortality. Neurology 81(4):383–391

    Article  PubMed  PubMed Central  Google Scholar 

  15. Herman ST et al (2015) Consensus statement on continuous EEG in critically ill adults and children, part I: indications. J Clin Neurophysiol 32(2):87–95

    Article  PubMed  PubMed Central  Google Scholar 

  16. Shellhaas RA et al (2011) The American Clinical Neurophysiology Society’s Guideline on Continuous Electroencephalography Monitoring in Neonates. J Clin Neurophysiol 28(6):611–617

    Article  PubMed  Google Scholar 

  17. Abend NS et al (2013) Electroencephalographic monitoring in the pediatric intensive care unit. Curr Neurol Neurosci Rep 13(3):330

    Article  PubMed  PubMed Central  Google Scholar 

  18. Sanchez SM et al (2013) Pediatric ICU EEG monitoring: current resources and practice in the United States and Canada. J Clin Neurophysiol 30(2):156–160

    Article  PubMed  PubMed Central  Google Scholar 

  19. Ney JP et al (2013) Continuous and routine EEG in intensive care: utilization and outcomes, United States 2005–2009. Neurology 81(23):2002–2008

    Article  PubMed  PubMed Central  Google Scholar 

  20. Towne AR et al (2000) Prevalence of nonconvulsive status epilepticus in comatose patients. Neurology 54(2):340–345

    Article  CAS  PubMed  Google Scholar 

  21. Westhall E (2017) Electroencephalography as a prognostic tool after cardiac arrest. Semin Neurol 37(1):48–59

    Article  PubMed  Google Scholar 

  22. Westhall E et al (2016) Standardized EEG interpretation accurately predicts prognosis after cardiac arrest. Neurology 86(16):1482–1490

    Article  PubMed  PubMed Central  Google Scholar 

  23. Stevens RD, Sutter R (2013) Prognosis in severe brain injury. Crit Care Med 41(4):1104–1123

    Article  PubMed  Google Scholar 

  24. Rossetti AO et al (2010) Prognostication after cardiac arrest and hypothermia: a prospective study. Ann Neurol 67(3):301–307

    PubMed  Google Scholar 

  25. Crepeau AZ et al (2013) Continuous EEG in therapeutic hypothermia after cardiac arrest: prognostic and clinical value. Neurology 80(4):339–344

    Article  PubMed  Google Scholar 

  26. Kessler SK et al (2011) Short-term outcome prediction by electroencephalographic features in children treated with therapeutic hypothermia after cardiac arrest. Neurocrit Care 14(1):37–43

    Article  PubMed  PubMed Central  Google Scholar 

  27. Vespa PM et al (2002) Early and persistent impaired percent alpha variability on continuous electroencephalography monitoring as predictive of poor outcome after traumatic brain injury. J Neurosurg 97(1):84–92

    Article  PubMed  Google Scholar 

  28. Abend NS et al (2010) Use of EEG monitoring and management of non-convulsive seizures in critically ill patients: a survey of neurologists. Neurocrit Care 12(3):382–389

    Article  PubMed  PubMed Central  Google Scholar 

  29. Sanchez SM et al (2013) Electroencephalography monitoring in critically ill children: current practice and implications for future study design. Epilepsia 54(8):1419–1427

    Article  PubMed  PubMed Central  Google Scholar 

  30. Gavvala J et al (2014) Continuous EEG monitoring: a survey of neurophysiologists and neurointensivists. Epilepsia 55(11):1864–1871

    Article  PubMed  Google Scholar 

  31. (2016) HCUP Project Overview HCUP Fact Sheet. https://www.hcup-us.ahrq.gov/news/exhibit_booth/hcup_fact_sheet.jsp. Accessed 8 May 2017

  32. (2015) Agency for Healthcare Research and Quality and Healthcare Cost and Utilization Project. Introduction to the HCUP KID’s inpatient database (KID). https://www.hcup-us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp. Accessed 8 May 2017

  33. Claassen J et al (2004) Detection of electrographic seizures with continuous EEG monitoring in critically ill patients. Neurology 62(10):1743–1748

    Article  CAS  PubMed  Google Scholar 

  34. Abend NS, Topjian AA, Williams S (2015) How much does it cost to identify a critically ill child experiencing electrographic seizures? J Clin Neurophysiol 32(3):257–264

    Article  PubMed  PubMed Central  Google Scholar 

  35. Brophy GM et al (2012) Guidelines for the evaluation and management of status epilepticus. Neurocrit Care 17(1):3–23

    Article  PubMed  Google Scholar 

  36. Herman ST et al (2015) Consensus statement on continuous EEG in critically ill adults and children, part II: personnel, technical specifications, and clinical practice. J Clin Neurophysiol 32(2):96–108

    Article  PubMed  PubMed Central  Google Scholar 

  37. Virnig BA, McBean M (2001) Administrative data for public health surveillance and planning. Annu Rev Public Health 22:213–230

    Article  CAS  PubMed  Google Scholar 

  38. DeShazo JP, Hoffman MA (2015) A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample. BMC Health Serv Res 15:384

    Article  PubMed  PubMed Central  Google Scholar 

  39. Berman MF et al (2002) Use of ICD-9 coding for estimating the occurrence of cerebrovascular malformations. AJNR Am J Neuroradiol 23(4):700–705

    PubMed  Google Scholar 

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Correspondence to Tobias Loddenkemper.

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Conflicts of interest

Marina Gaínza-Lein is supported by the Epilepsy Research Fund. Iván Sánchez Fernández is funded by Fundación Alfonso Martín Escudero and the HHV6 Foundation. Tobias Loddenkemper serves on the Laboratory Accreditation Board for Long Term (Epilepsy and Intensive Care Unit) Monitoring, on the Council (and as Vice President) of the American Clinical Neurophysiology Society, on the American Board of Clinical Neurophysiology, as an Associate Editor for Seizure, as Contributing Editor for Epilepsy Currents, and as an Associate Editor for Wyllie’s Treatment of Epilepsy 6th edition. He is part of pending patent applications to detect and predict seizures and to diagnose epilepsy. He receives research support from the Epilepsy Research Fund, the American Epilepsy Society, the Epilepsy Foundation of America, the Epilepsy Therapy Project, PCORI, the Pediatric Epilepsy Research Foundation, CURE, HHV-6 Foundation, and received Research Grants from Lundbeck, Eisai, Upsher-Smith, Acorda, and Pfizer. He serves as a consultant for Zogenix, Upsher Smith, Lundbeck, and Sunovion. He performs video electroencephalogram long-term and ICU monitoring, electroencephalograms, and other electrophysiological studies at Boston Children’s Hospital and affiliated hospitals and bills for these procedures and he evaluates pediatric neurology patients and bills for clinical care. He has received speaker honorariums from national societies including the AAN, AES and ACNS, and for grand rounds at various academic centers. His wife, Dr. Karen Stannard, is a pediatric neurologist and she performs video electroencephalogram long-term and ICU monitoring, electroencephalograms, and other electrophysiological studies and bills for these procedures and she evaluates pediatric neurology patients and bills for clinical care.

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Gaínza-Lein, M., Sánchez Fernández, I. & Loddenkemper, T. Use of EEG in critically ill children and neonates in the United States of America. J Neurol 264, 1165–1173 (2017). https://doi.org/10.1007/s00415-017-8510-3

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  • DOI: https://doi.org/10.1007/s00415-017-8510-3

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