Dynamic monitoring tools for patients admitted to the emergency department with circulatory failure: narrative review with panel-based recommendations

Author:

Douglas Ivor S.1,Elwan Mohammed H.234,Najarro Marta5,Romagnoli Stefano67

Affiliation:

1. Denver Health Medical Center, University of Colorado School of Medicine, Denver Colorado, USA

2. Emergency Department, Kettering General Hospital, Kettering, UK

3. Department of Cardiovascular Sciences, University of Leicester, Leicester, UK

4. Department of Emergency Medicine, Alexandria University, Alexandria, Egypt

5. Emergency Department, Ramón y Cajal University Hospital, Madrid, Spain

6. Health Science Department, Section of Anesthesia and Critical Care, University of Florence, Florence, Italy

7. Department of Anesthesia and Critical Care, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy

Abstract

Intravenous fluid therapy is commonly administered in the emergency department (ED). Despite the deleterious potential of over- and under-resuscitation, professional society guidelines continue to recommend administering a fixed volume of fluid in initial resuscitation. Predicting whether a specific patient will respond to fluid therapy remains one of the most important, but challenging questions that ED clinicians face in clinical practice. Surrogate parameters (i.e. blood pressure and heart rate), are widely used in usual care to estimate changes in stroke volume (SV). Due to their inadequacy in estimating SV, noninvasive techniques (e.g. bioreactance, echocardiography, noninvasive finger cuff technology), have been proposed as a more accurate and readily deployable method for assessing flow and preload responsiveness. Dynamic monitoring systems based on cardiac preload challenge and assessment of SV, by using noninvasive and continuous methods, provide more accurate, feasible, efficient, and reasonably accurate strategy for prediction of fluid responsiveness than static measurements. In this article, we aimed to analyze the different methods currently available for dynamic monitoring of preload responsiveness.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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