Dr. Alexis Ann Topjian, Assistant Professor of Anesthesia, Critical Care, and Pediatrics at the University of Pennsylvania (UPenn), and the Children's Hospital of Philadelphia (CHOP), is resubmitting her application for the Mentored Patient-Oriented Research Career Development Award (K23). This candidate has focused her efforts as a Pediatric Critical Care Fellow and early CCM faculty member on developing into a patient-oriented neuroscientist. The proposed investigation in this application is a natural progression of her growing experience and expertise in post-arrest neuroscience. Dr. Topjian's immediate goal is to evaluate a novel approach for real-time ICU bedside seizure detection and prompt management of non-convulsive seizures in critically ill children following cardiac arrest. Her long-term career goal is to improve neurologic outcomes and quality of life following pediatric cardiac arrest utilizing. She aspires to become an independent neuroscientist focusing on post-resuscitation care. Environment: The career development plan and the intended research investigation build upon an existing network of research and mentorship already in place at the candidate's institution. The candidate with her mentors has implemented a 24 hour per day/7 days per week Neuro-monitoring system in the pediatric intensive care unit which will serve as the foundation for performing her research. She will continue her coursework at UPenn's Center for Clinical Epidemiology and Biostatistics focusing on epidemiology and advanced statistics. She has extensive statistical resources to complete this project and develop future research investigations. The combination of this environment paired with an expert mentorship team all but guarantees her success as she develops into an independent resuscitation neuroscientist. Research: More than 8,000 children suffer a cardiac arrest each year, resulting in high mortality and neurologic morbidity. During the first 3 days following retur of spontaneous circulation, almost half of these children have non-convulsive seizures (NCS), of whom 2/3 have non-convulsive status epileptics (NCSE). NCS and NCSE identification and treatment may be delayed (or not detected or treated until progression to clinically detectable signs and symptoms) because of lack of rigorous monitoring or timely EEG interpretation. Importantly, both prolonged NCS and intravenous anticonvulsant medications to treat NCS may cause adverse effects, ultimately worsening survival and/or neurologic outcomes. The goal of this specific study is to evaluate a novel approach for real-time ICU bedside NCS detection and prompt NCS management in critically ill children following cardiac arrest.
Aim 1 will evaluate the diagnostic accuracy (sensitivity, specificity, positive and negative predictive value) of a continuous EEG modality, Density Spectral Array (DSA), for the real-time detection of NCS by bedside ICU physicians and nurses.
Aim 2 will evaluate the efficacy and safety of using DSA monitoring and prompt treatment compared with standard EEG monitoring and treatment for non-convulsive seizures in children post-cardiac arrest by randomizing patients to DSA monitoring or standard EEG monitoring. The primary efficacy outcomes will be time to: 1) detection, 2) treatment and 3) termination of NCS. The primary measure of adverse outcome is the intensity and duration of hypotension. Finally, in Aim 3 we will evaluate if larger NCS burden during the first three days post-arrest is associated with worse neurologic outcome at 6 months post-arrest after controlling for severity of injury. Summary: The plan in this Mentored Patient-Oriented Research Career Development Award application will provide the outstanding early career experience, superior environment and world-class mentorship to prepare the candidate to become an independent investigator. In addition, successful accomplishment of these aims will provide the foundation for future investigations to determine if real-time diagnosis and prompt treatment of non-convulsive seizures can decrease short- and long-term neurologic injury for critically ill children post- cardiac arrest.
Pediatric cardiac arrest is highly fatal and morbid, with current supportive care frequently resulting in poor neurologic outcome for survivors. This proposal will use a real-time beside neurophysiologic tool to promptly diagnose and treat post-arrest non-convulsive seizures and to evaluate for associated adverse events. It will also evaluate the association of non-convulsive seizure burden with neurologic outcome.
|Zane, Nicole R; Reedy, Michael D; Gastonguay, Marc R et al. (2017) A Population Pharmacokinetic Analysis to Study the Effect of Therapeutic Hypothermia on Vancomycin Disposition in Children Resuscitated From Cardiac Arrest. Pediatr Crit Care Med 18:e290-e297|
|Abend, Nicholas S; Massey, Shavonne L; Fitzgerald, Mark et al. (2017) Interrater Agreement of EEG Interpretation After Pediatric Cardiac Arrest Using Standardized Critical Care EEG Terminology. J Clin Neurophysiol 34:534-541|
|Du Pont-Thibodeau, Geneviève; Sanchez, Sarah M; Jawad, Abbas F et al. (2017) Seizure Detection by Critical Care Providers Using Amplitude-Integrated Electroencephalography and Color Density Spectral Array in Pediatric Cardiac Arrest Patients. Pediatr Crit Care Med 18:363-369|
|Lin, Jainn-Jim; Banwell, Brenda L; Berg, Robert A et al. (2017) Electrographic Seizures in Children and Neonates Undergoing Extracorporeal Membrane Oxygenation. Pediatr Crit Care Med 18:249-257|
|Morgan, Ryan W; Stinson, Hannah R; Wolfe, Heather et al. (2017) Pediatric In-Hospital Cardiac Arrest Secondary to Acute Pulmonary Embolism. Crit Care Med :|
|Lasa, Javier J; Rogers, Rachel S; Localio, Russell et al. (2016) Extracorporeal Cardiopulmonary Resuscitation (E-CPR) During Pediatric In-Hospital Cardiopulmonary Arrest Is Associated With Improved Survival to Discharge: A Report from the American Heart Association's Get With The Guidelines-Resuscitation (GWTG-R) Regis Circulation 133:165-76|
|Topjian, Alexis A; Sánchez, Sarah M; Shults, Justine et al. (2016) Early Electroencephalographic Background Features Predict Outcomes in Children Resuscitated From Cardiac Arrest. Pediatr Crit Care Med 17:547-57|
|Topjian, Alexis A; Fry, Michael; Jawad, Abbas F et al. (2015) Detection of electrographic seizures by critical care providers using color density spectral array after cardiac arrest is feasible. Pediatr Crit Care Med 16:461-7|
|Kirschen, Matthew P; Topjian, Alexis A (2015) Is ""Good Neurologic Outcome"" Following Cardiac Arrest Good Enough? Pediatr Crit Care Med 16:772-3|
|Topjian, Alexis A; Friess, Stuart H (2015) The authors reply. Pediatr Crit Care Med 16:203|
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