Should we overcome the resistance to bioelectrical impedance in heart failure?

Expert Rev Med Devices

Department of Medicine, Division of Cardiovascular Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.

Published: August 2020

AI Article Synopsis

  • Heart failure leads to neurohormonal changes that affect body composition, causing issues like volume overload and muscle loss.
  • Various studies have explored different bioelectrical impedance monitoring techniques, such as lung impedance and bioelectrical impedance vector analysis, to improve heart failure diagnosis and treatment.
  • More research is necessary to confirm the effectiveness of bioelectrical impedance in heart failure, but it shows promise as a noninvasive tool for clinical and research purposes.

Article Abstract

Introduction: Heart failure is associated with increased neurohormonal activation that results in changes in body composition including volume overload and the loss of skeletal muscle, body fat, and bone density. Bioelectrical impedance measures body composition based on the conduction of electrical current through body fluids.

Areas Covered: The PubMed and Scopus databases were reviewed up to the third week of June 2020. Cross-sectional studies, retrospective observational studies, prospective observational studies, and randomized controlled trials have examined numerous bioelectrical impedance monitoring strategies to guide the diagnosis, prognosis, and treatment of heart failure. These monitoring strategies include intrathoracic impedance, lung impedance, bioelectrical impedance vector analysis, leg bioelectrical impedance, and thoracic bioreactance.

Expert Commentary: Based on the current evidence, more studies are needed to validate bioelectrical impedance in heart failure. Lung impedance appears to be useful for guiding heart failure treatment in patients with ST-elevation myocardial infarction and improving outcomes in outpatients with heart failure. Furthermore, bioelectrical impedance has potential as a noninvasive, quantitative heart failure variable for population-based research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356137PMC
http://dx.doi.org/10.1080/17434440.2020.1791701DOI Listing

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