Document Type
Poster
Publication Date
5-1-2019
Institution/Department
Pulmonary Medicine; Center for Outcomes Research and Evaluation; Critical Care Medicine
MeSH Headings
Heart Arrest, Resuscitation
Abstract
Introduction:
• An increasing number of patients are resuscitated from out-ofhospital cardiac arrest. Triage to optimal treatment pathways could improve and increase the efficacy of post-resuscition care.
• Despite great variability in etiology, duration, and patterns of injury from cardiac arrest, post-resuscitation treatment guidelines emphasize standard treatments. We hypothesize that by categorizing competing risks very early after resuscitation, it may be possible to improve the efficacy and efficiency of care.
• When measured very early after resuscitation, suppression ratio (SR, the percentage of suppressed EEG), correlates with severity of brain injury and the likelihood of poor neurological outcome.
• The CREST score2 is a validated model to predict circulatoryetiology death (CED) based on: Coronary artery disease, initial nonshockable Rhythm, Ejection fraction25 minutes.
Recommended Citation
Bilkanovic, A; Haxhija, Z; Lucas, L; Dziodzio, J; Riker, R R.; May, T; Friberg, H; and Seder, D B., "Neurocardiac risk stratification 6 hours after resuscitation from cardiac arrest" (2019). MaineHealth Maine Medical Center. 682.
https://knowledgeconnection.mainehealth.org/mmc/682
Comments
Lambrew Research Retreat