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Division of Neurology
The Children's Hospital of Philadelphia
Department of Neurology
The University of Pennsylvania School of Medicine
Philadelphia
Division of Neurology
The Children's Hospital of Philadelphia
Philadelphia
Department of Anesthesia and Critical Care Medicine
The Children's Hospital of Philadelphia
Philadelphia
Biostatistics and Data Management Core
The Children's Hospital of Philadelphia
Philadelphia
Biostatistics and Data Management Core
The Children's Hospital of Philadelphia
Philadelphia
Division of Neurology
The Children's Hospital of Philadelphia
Philadelphia
Division of Neurology
The Children's Hospital of Philadelphia
Department of Neurology
The University of Pennsylvania School of Medicine
Philadelphia
Division of Neurology
The Children's Hospital of Philadelphia
Department of Neurology
The University of Pennsylvania School of Medicine
Philadelphia
Department of Neurology
University of Maryland
Maryland VA Healthcare System
Baltimore
Department of Neurology
Vanderbilt University
Nashville, TN
School of Health Sciences
Oakland University
Rochester, MI
Department of Neurology
University of Maryland
Maryland VA Healthcare System
Baltimore
Departments of Neurology and Pathology
University of Utah
Salt Lake City
Department of Neurology
University of Michigan, Ann Arbor
Department of Internal Medicine
Division of Geriatric Medicine
Mobility Research Center, Institute of Gerontology
The University of Michigan
VA Ann Arbor Health Care System Geriatric Research
Education and Clinical Center
Ann Arbor
Department of Neurology
University of Maryland
Maryland VA Healthcare System
Baltimore
Upon completion of the article by Abend et al, the participant should be able to:
• Discuss the utility of continuous EEG monitoring (cEEG) for detecting seizures in critically ill children
• Discuss clinical features associated with the occurrence of seizures in critically ill children undergoing cEEG monitoring
• Describe the time to seizure occurrence seen during cEEG monitoring in critically ill children
Upon completion of the article by Zilliox et al, the participant should be able to:
• Discuss the correlation of the Survey of Autonomic Symptoms (SAS) with other measures of autonomic dysfunction
• State the sensitivity and specificity of the SAS using different cutoff scores
• Describe the utility of the SAS in patients with neuropathy
| Credit Types: | CME |
| Credit Amount: | 1.5 Credits |
| Release Date: | 2011-Mar-22 |
| Expiration Date: | 2013-Mar-22 |
| Registration Required: | Yes |
| Cost: | $624/yr |
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