Literature DB >> 32658589

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

Stephen J Hankinson1, Charles H Williams1, Van-Khue Ton1,2, Stephen S Gottlieb1, Charles C Hong1.   

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.

Entities:  

Keywords:  Bioelectrical impedance; bioelectrical impedance vector analysis; bioimpedance; bioreactance; heart failure; intrathoracic impedance; leg bioelectrical impedance; lung impedance

Mesh:

Year:  2020        PMID: 32658589      PMCID: PMC8356137          DOI: 10.1080/17434440.2020.1791701

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  68 in total

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2.  The evolution of population science: advent of the mega cohort.

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3.  Peak cardiac power measured noninvasively with a bioreactance technique is a predictor of adverse outcomes in patients with advanced heart failure.

Authors:  Hannah Rosenblum; Stephen Helmke; Paula Williams; Sergio Teruya; Margaret Jones; Daniel Burkhoff; Donna Mancini; Mathew S Maurer
Journal:  Congest Heart Fail       Date:  2010-10-19

Review 4.  Assessing and grading congestion in acute heart failure: a scientific statement from the acute heart failure committee of the heart failure association of the European Society of Cardiology and endorsed by the European Society of Intensive Care Medicine.

Authors:  Mihai Gheorghiade; Ferenc Follath; Piotr Ponikowski; Jeffrey H Barsuk; John E A Blair; John G Cleland; Kenneth Dickstein; Mark H Drazner; Gregg C Fonarow; Tiny Jaarsma; Guillaume Jondeau; Jose Lopez Sendon; Alexander Mebazaa; Marco Metra; Markku Nieminen; Peter S Pang; Petar Seferovic; Lynne W Stevenson; Dirk J van Veldhuisen; Faiez Zannad; Stefan D Anker; Andrew Rhodes; John J V McMurray; Gerasimos Filippatos
Journal:  Eur J Heart Fail       Date:  2010-03-30       Impact factor: 15.534

5.  Relation of dyspnea severity on admission for acute heart failure with outcomes and costs.

Authors:  Robert J Mentz; Xiaojuan Mi; Puza P Sharma; Laura G Qualls; Adam D DeVore; Katherine Waltman Johnson; Gregg C Fonarow; Lesley H Curtis; Adrian F Hernandez
Journal:  Am J Cardiol       Date:  2014-10-15       Impact factor: 2.778

6.  Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial.

Authors:  William T Abraham; Philip B Adamson; Robert C Bourge; Mark F Aaron; Maria Rosa Costanzo; Lynne W Stevenson; Warren Strickland; Suresh Neelagaru; Nirav Raval; Steven Krueger; Stanislav Weiner; David Shavelle; Bradley Jeffries; Jay S Yadav
Journal:  Lancet       Date:  2011-02-19       Impact factor: 79.321

7.  Combined heart failure device diagnostics identify patients at higher risk of subsequent heart failure hospitalizations: results from PARTNERS HF (Program to Access and Review Trending Information and Evaluate Correlation to Symptoms in Patients With Heart Failure) study.

Authors:  David J Whellan; Kevin T Ousdigian; Sana M Al-Khatib; Wenji Pu; Shantanu Sarkar; Charles B Porter; Behzad B Pavri; Christopher M O'Connor
Journal:  J Am Coll Cardiol       Date:  2010-04-27       Impact factor: 24.094

8.  Intrathoracic impedance monitoring in patients with heart failure: correlation with fluid status and feasibility of early warning preceding hospitalization.

Authors:  Cheuk-Man Yu; Li Wang; Elaine Chau; Raymond Hon-Wah Chan; Shun-Ling Kong; Man-Oi Tang; Jill Christensen; Robert W Stadler; Chu-Pak Lau
Journal:  Circulation       Date:  2005-08-01       Impact factor: 29.690

9.  Sustained efficacy of pulmonary artery pressure to guide adjustment of chronic heart failure therapy: complete follow-up results from the CHAMPION randomised trial.

Authors:  William T Abraham; Lynne W Stevenson; Robert C Bourge; Jo Ann Lindenfeld; Jordan G Bauman; Philip B Adamson
Journal:  Lancet       Date:  2015-11-09       Impact factor: 79.321

Review 10.  Remote Monitoring of Patients With Heart Failure: A White Paper From the Heart Failure Society of America Scientific Statements Committee.

Authors:  Michael G Dickinson; Larry A Allen; Nancy A Albert; Thomas DiSalvo; Gregory A Ewald; Amanda R Vest; David J Whellan; Michael R Zile; Michael M Givertz
Journal:  J Card Fail       Date:  2018-10-09       Impact factor: 5.712

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  2 in total

1.  Bioelectrical impedance analysis for early screening of upper limb subclinical lymphedema: A case-control study.

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Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

Review 2.  New aspects in cardiorenal syndrome and HFpEF.

Authors:  Ana Belén Méndez; Maria Antonieta Azancot; Aleix Olivella; María José Soler
Journal:  Clin Kidney J       Date:  2022-05-06
  2 in total

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