Literature DB >> 31740090

Pseudo-pulseless electrical activity in the emergency department, an evidence based approach.

J Rabjohns1, T Quan1, K Boniface1, A Pourmand2.   

Abstract

INTRODUCTION: A great deal of the literature has focused specifically on true pulseless electrical activity (PEA), whereas there is a dearth of research regarding pseudo-PEA. This narrative review evaluates the diagnosis and management of patients in pseudo-PEA and discusses the impact on emerging patient outcomes. DISCUSSION: Pseudo-PEA can be defined as evidence of cardiac activity without a detectable pulse. Distinguishing pseudo-PEA from true PEA is important for emergency physicians as the prognosis and management of these patients differ. POCUS is the tool most commonly used to diagnose pseudo-PEA and there are varying treatment strategies to manage these patients. Identifying patients in pseudo-PEA can help guide resuscitation decisions, and ultimately impact emergency response systems, patients, and families.
CONCLUSIONS: The incidence of pseudo-PEA is increasing. Effective care of these patients begins with early diagnosis of this condition and immediate treatment to warrant the greatest chance of survival. There is a need for further prospective studies surrounding pseudo-PEA as evidenced by the lack of research in the current literature.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electromechanical dissociation; False-PEA; Near-PEA; PEA; Pseudo-EMD; Pseudo-PEA

Mesh:

Year:  2019        PMID: 31740090     DOI: 10.1016/j.ajem.2019.158503

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  4 in total

1.  The Role of Cardiac Arrest Sonographic Exam (CASE) in Predicting the Outcome of Cardiopulmonary Resuscitation; a Cross-sectional Study.

Authors:  Babak Masoumi; Reza Azizkhani; Farhad Heydari; Majid Zamani; Mehdi Nasr Isfahani
Journal:  Arch Acad Emerg Med       Date:  2021-06-28

Review 2.  Pulseless Electrical Activity: Detection of Underlying Causes in a Prehospital Setting.

Authors:  Senne Van den Bempt; Lina Wauters; Philippe Dewolf
Journal:  Med Princ Pract       Date:  2020-11-30       Impact factor: 1.927

3.  Cardiac Tamponade: A Case for Point-of-Care Ultrasound.

Authors:  Ronald H Wharton; Steven A Greenstein
Journal:  CASE (Phila)       Date:  2022-08-15

4.  A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest.

Authors:  Jon Urteaga; Elisabete Aramendi; Andoni Elola; Unai Irusta; Ahamed Idris
Journal:  Entropy (Basel)       Date:  2021-06-30       Impact factor: 2.524

  4 in total

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