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Chalia M, Singh D, Boyd SG, Hannam S, Hoskote A, Pressler R. Neonatal seizures during extra corporeal membrane oxygenation support. Eur J Pediatr 2024:10.1007/s00431-024-05510-w. [PMID: 38488877 DOI: 10.1007/s00431-024-05510-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/28/2024] [Accepted: 03/02/2024] [Indexed: 03/17/2024]
Abstract
To evaluate EEG monitoring during neonatal ECMO and to identify any correlations between seizure detection to abnormal neuroimaging. Eight-year, service evaluation of neonates who received at least one continuous EEG (cEEG) whilst on ECMO at Great Ormond Street Hospital. Pearson's chi-square test and multivariate logistic regression analysis were used to assess clinical and EEG variables association with seizures and neuroimaging findings. Fifty-seven neonates were studied; 57 cEEG recordings were reviewed. The incidence of seizures was 33% (19/57); of these 74% (14/19) were electrographic-only. The incidence of status epilepticus was 42%, (8/19 with 6 neonates having electrographic-only status and 2 electro-clinical status. Seizures were detected within an hour of recording in 84%, (16/19). The overall mortality rate was 39% (22/57). Seizure detection was strongly associated with female gender (OR 4.8, 95% CI: 1.1-20.4, p = 0.03), abnormal EEG background activity (OR 2.8, 95% CI: 1.1-7.4, p = 0.03) and abnormal EEG focal features (OR 23.6, 95% CI: 5.4-103.9, p = 0.001). There was a strong association between the presence of seizures and abnormal neuroimaging findings (OR 10.9, 95% CI: 2.8-41.9, p = 0.001). Neonates were highly likely to have abnormal neuroimaging findings in the presence of severely abnormal background EEG (OR 9.5, 95% CI 1.7-52.02, p = 0.01) and focal EEG abnormalities (OR 6.35, 95% CI 1.97-20.5, p = 0.002)Conclusion: The study highlights the importance of cEEG in neonates undergoing ECMO. An association between seizure detection and abnormal neuroimaging findings was described. What is Known: • Patients on ECMO are at a higher risk of seiures. • Continuous EEG monitoring is recommended by the ACNS for high risk and ECMO patients. What is New: • In this cohort, neonates with sezirues were 11 times more likely of having abnromal neuroimaging findings. • Neonates with burst suppressed or suppressed EEG background were 9.5 times more likely to have abnormal neuroimaging findings. What does this study add? • This study reports a 33% incidence of neonatal seizures during ECMO. • Neonates with seizures were 11 times more likely to have an abnormal brain scan. • The study captures the real-time approach of EEG monitoring. • Recommended cEEG monitoring should last at least 24 h for ECMO patients. • This is the first study to assess this in neonates only.
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Affiliation(s)
- Maria Chalia
- Neonatal Intensive Care Unit, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK.
- Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK.
| | - Davinder Singh
- Cardiac Intensive Care Unit, Great Ormond Street Hospital for Children, London, UK
| | - Stewart G Boyd
- Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK
| | - Simon Hannam
- Neonatal Intensive Care Unit, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK
| | - Aparna Hoskote
- Cardiac Intensive Care Unit, Great Ormond Street Hospital for Children, London, UK
| | - Ronit Pressler
- Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK
- Clinical Neuroscience, University College London, UCL, Great Ormond Street Institute of Child Health, London, UK
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Tabet M, Custer C, Khan IR, Sanford E, Sharma J, Choe R, Singh S, Sirsi D, Olson DM, Morriss MC, Raman L, Busch DR. Neuromonitoring of Pediatric and Adult Extracorporeal Membrane Oxygenation Patients: The Importance of Continuous Bedside Tools in Driving Neuroprotective Clinical Care. ASAIO J 2024; 70:167-176. [PMID: 38051987 DOI: 10.1097/mat.0000000000002107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023] Open
Abstract
Extracorporeal membrane oxygenation (ECMO) is a form of temporary cardiopulmonary bypass for patients with acute respiratory or cardiac failure refractory to conventional therapy. Its usage has become increasingly widespread and while reported survival after ECMO has increased in the past 25 years, the incidence of neurological injury has not declined, leading to the pressing question of how to improve time-to-detection and diagnosis of neurological injury. The neurological status of patients on ECMO is clinically difficult to evaluate due to multiple factors including illness, sedation, and pharmacological paralysis. Thus, increasing attention has been focused on developing tools and techniques to measure and monitor the brain of ECMO patients to identify dynamic risk factors and monitor patients' neurophysiological state as a function in time. Such tools may guide neuroprotective interventions and thus prevent or mitigate brain injury. Current means to continuously monitor and prevent neurological injury in ECMO patients are rather limited; most techniques provide indirect or postinsult recognition of irreversible brain injury. This review will explore the indications, advantages, and disadvantages of standard-of-care, emerging, and investigational technologies for neurological monitoring on ECMO, focusing on bedside techniques that provide continuous assessment of neurological health.
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Affiliation(s)
- Margherita Tabet
- From the Department of Anesthesiology and Pain Management, The University of Texas Southwestern medical center/Children's Medical Center, Dallas, Texas
| | - Chasity Custer
- Division of Pediatric Critical Care Medicine, UT Southwestern Medical Center/Children's Medical Center, Dallas, Texas
| | - Imad R Khan
- Department of Neurology, University of Rochester Medical Center, Rochester, New York
| | - Ethan Sanford
- From the Department of Anesthesiology and Pain Management, The University of Texas Southwestern medical center/Children's Medical Center, Dallas, Texas
- Division of Pediatric Critical Care Medicine, UT Southwestern Medical Center/Children's Medical Center, Dallas, Texas
| | - Jayesh Sharma
- From the Department of Anesthesiology and Pain Management, The University of Texas Southwestern medical center/Children's Medical Center, Dallas, Texas
| | - Regine Choe
- Department of Biomedical Engineering, University of Rochester, Rochester, New York
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, New York
| | - Sumit Singh
- Department of Radiology, UT Southwestern Medical Center/Children's Medical Center, Dallas, Texas
| | - Deepa Sirsi
- Division of Pediatric Neurology, UT Southwestern Medical Center/Children's Medical Center, Dallas, Texas
| | - DaiWai M Olson
- Department of Neurology, UT Southwestern Medical Center, Dallas, Texas
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas
| | - Michael Craig Morriss
- Department of Radiology, UT Southwestern Medical Center/Children's Medical Center, Dallas, Texas
| | - Lakshmi Raman
- Department of Pediatrics, The University of Texas Southwestern medical center
| | - David R Busch
- From the Department of Anesthesiology and Pain Management, The University of Texas Southwestern medical center/Children's Medical Center, Dallas, Texas
- Department of Neurology, UT Southwestern Medical Center, Dallas, Texas
- Department of Biomedical Engineering, UT Southwestern Medical Center, Dallas, Texas
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MacDarby LJ, Byrne LK, O'Brien ET, Curley GF, Healy M, McHugh JC. Amplitude Integrated Electroencephalography: Simulated Assessment of Neonatal Seizure Detection in PICU Patients. Pediatr Crit Care Med 2023; 24:e627-e634. [PMID: 38055290 DOI: 10.1097/pcc.0000000000003338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
OBJECTIVES Amplitude integrated electroencephalography (aEEG) is a mainstay of care in neonatal ICUs; however, knowledge gaps exist in relation to its accuracy for identifying seizures in older children. We aimed to review the diagnostic accuracy of existing neonatal seizure detection criteria for seizure detection in older children in hospital. DESIGN Retrospective study. SETTING PICU/Neurophysiology Department in Dublin. PATIENTS One hundred twenty patients (2 mo to 16 yr old) were chosen from a database of formal 10-20 system, 21-lead electroencephalography recordings (2012-2020), comprising 30 studies with seizures, 90 without. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Electroencephalography studies containing electrographic seizures (ESzs) were annotated to describe number, duration, distribution, and spread. Two-channel aEEG (using leads C3-P3, C4-P4) recordings were generated and independently reviewed by a professional specialist in clinical neurophysiology blinded to outcome and without reference to the raw electroencephalography trace. Logistic regression was used to identify factors associated with correct seizure identification on aEEG. Median patient age was 6.1 years. Abnormal recordings featured 123 seizures. Status epilepticus (SE) was evident by electroencephalography in 10 cases. Using neonatal criteria, aEEG had a sensitivity of 70% and negative predictive value of 90% for identifying any ESz. Accurate detection of individual seizures was diminished when seizures were very short or occurred during waking. Sensitivity for individual seizures was 81% when seizures less than 1 minute were excluded. aEEG correctly identified SE in 70% of the 10 cases, although ESz were confirmed to be present in 80% of this subpopulation. CONCLUSIONS aEEG criteria for neonatal seizure identification can be applied with caution to older children and should be supplemented by formal electroencephalography. Seizure identification is better for longer seizures and those arising from sleep. SE is not always recognized by aEEG among older children.
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Affiliation(s)
- Laura J MacDarby
- Department of Anesthesia and Critical Care, Children's Health Ireland at Crumlin (CHI Crumlin), Dublin, Ireland
- Department of Anesthesia, Royal College of Surgeons, Dublin, Ireland
| | - Lauren K Byrne
- Clinical Neurophysiology Department, CHI Crumlin, Dublin, Ireland
| | - Emily T O'Brien
- Clinical Neurophysiology Department, CHI Crumlin, Dublin, Ireland
| | - Gerard F Curley
- Department of Anesthesia, Royal College of Surgeons, Dublin, Ireland
- Department of Anesthesia and Critical Care, Beaumont Hospital, Artane, Dublin, Ireland
| | - Martina Healy
- Department of Anesthesia and Critical Care, Children's Health Ireland at Crumlin (CHI Crumlin), Dublin, Ireland
| | - John C McHugh
- Department of Anesthesia, Royal College of Surgeons, Dublin, Ireland
- Clinical Neurophysiology Department, CHI Crumlin, Dublin, Ireland
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Felling RJ, Kamerkar A, Friedman ML, Said AS, LaRovere KL, Bell MJ, Bembea MM. Neuromonitoring During ECMO Support in Children. Neurocrit Care 2023; 39:701-713. [PMID: 36720837 DOI: 10.1007/s12028-023-01675-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 01/10/2023] [Indexed: 02/02/2023]
Abstract
Extracorporeal membrane oxygenation is a potentially lifesaving intervention for children with severe cardiac or respiratory failure. It is used with increasing frequency and in increasingly more complex and severe diseases. Neurological injuries are important causes of morbidity and mortality in children treated with extracorporeal membrane oxygenation and include ischemic stroke, intracranial hemorrhage, hypoxic-ischemic injury, and seizures. In this review, we discuss the epidemiology and pathophysiology of neurological injury in patients supported with extracorporeal membrane oxygenation, and we review the current state of knowledge for available modalities of monitoring neurological function in these children. These include structural imaging with computed tomography and ultrasound, cerebral blood flow monitoring with near-infrared spectroscopy and transcranial Doppler ultrasound, and physiological monitoring with electroencephalography and plasma biomarkers. We highlight areas of need and emerging advances that will improve our understanding of neurological injury related to extracorporeal membrane oxygenation and help to reduce the burden of neurological sequelae in these children.
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Affiliation(s)
- Ryan J Felling
- Department of Neurology, Johns Hopkins University School of Medicine, 200 N. Wolfe Street, Suite 2158, Baltimore, MD, USA.
| | - Asavari Kamerkar
- Department of Anesthesia Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Matthew L Friedman
- Division of Pediatric Critical Care, Indiana School of Medicine, Indianapolis, IN, USA
| | - Ahmed S Said
- Division of Pediatric Critical Care, Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Kerri L LaRovere
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael J Bell
- Division of Critical Care Medicine, Department of Pediatrics, Children's National Medical Center, Washington, DC, USA
| | - Melania M Bembea
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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