Literature DB >> 19249408

Measuring impedance in congestive heart failure: current options and clinical applications.

W H Wilson Tang1, Wilson Tong.   

Abstract

Measurement of impedance is becoming increasingly available in the clinical setting as a tool for assessing hemodynamics and volume status in patients with heart failure. The 2 major categories of impedance assessment are the band electrode method and the implanted device lead method. The exact sources of the impedance signal are complex and can be influenced by physiologic effects such as blood volume, fluid, and positioning. This article provides a critical review of our current understanding and promises of impedance measurements, the techniques that have evolved, as well as the evidence and limitations regarding their clinical applications in the setting of heart failure management.

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Year:  2008        PMID： 19249408      PMCID： PMC3058607          DOI： 10.1016/j.ahj.2008.10.016

Source DB:  PubMed          Journal:  Am Heart J        ISSN： 0002-8703            Impact factor:   4.749


  66 in total

1.  Relationship between right and left-sided filling pressures in 1000 patients with advanced heart failure.

Authors:  M H Drazner; M A Hamilton; G Fonarow; J Creaser; C Flavell; L W Stevenson
Journal:  J Heart Lung Transplant       Date:  1999-11       Impact factor: 10.247

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Journal:  Biomed Instrum Technol       Date:  2001 Jul-Aug

Review 3.  The technique of impedance cardiography.

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Journal:  Eur Heart J       Date:  1997-09       Impact factor: 29.983

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Journal:  Ann Biomed Eng       Date:  1989       Impact factor: 3.934

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Authors:  W N Hubbard; D R Fish; D J McBrien
Journal:  Int J Cardiol       Date:  1986-07       Impact factor: 4.164

6.  Origins of the impedance change in impedance cardiography by a three-dimensional finite element model.

Authors:  D W Kim; L E Baker; J A Pearce; W K Kim
Journal:  IEEE Trans Biomed Eng       Date:  1988-12       Impact factor: 4.538

7.  Noninvasive hemodynamic monitoring in heart failure: utilization of impedance cardiography.

Authors:  Clyde Yancy; William T Abraham
Journal:  Congest Heart Fail       Date:  2003 Sep-Oct

Review 8.  Bench to bedside: electrophysiologic and clinical principles of noninvasive hemodynamic monitoring using impedance cardiography.

Authors:  Richard L Summers; William C Shoemaker; W Franklin Peacock; Douglas S Ander; Thomas G Coleman
Journal:  Acad Emerg Med       Date:  2003-06       Impact factor: 3.451

9.  Intrathoracic impedance monitoring to detect chronic heart failure deterioration: relationship to changes in NT-proBNP.

Authors:  Lars Lüthje; Dirk Vollmann; Till Drescher; Peter Schott; Dieter Zenker; Gerd Hasenfuss; Christina Unterberg
Journal:  Eur J Heart Fail       Date:  2007-04-25       Impact factor: 15.534

10.  Predictors of between-method differences in cardiac output measurement using thoracic electrical bioimpedance and thermodilution.

Authors:  L Doering; E Lum; K Dracup; A Friedman
Journal:  Crit Care Med       Date:  1995-10       Impact factor: 7.598
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  20 in total

1.  Comparison of electrical velocimetry and cardiac magnetic resonance imaging for the non-invasive determination of cardiac output.

Authors:  Frederik Trinkmann; Manuel Berger; Christina Doesch; Theano Papavassiliu; Stefan O Schoenberg; Martin Borggrefe; Jens J Kaden; Joachim Saur
Journal:  J Clin Monit Comput       Date:  2015-06-27       Impact factor: 2.502

2.  Influence of lung volume, fluid and capillary recruitment during positional changes and exercise on thoracic impedance in heart failure.

Authors:  Chul-Ho Kim; Matthew A Fuglestad; Maile L Ceridon Richert; Win K Shen; Bruce D Johnson
Journal:  Respir Physiol Neurobiol       Date:  2014-08-14       Impact factor: 1.931

3.  Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Authors:  S M M Naidu; Prem C Pandey; Uttam R Bagal; Suhas P Hardas
Journal:  Med Biol Eng Comput       Date:  2017-11-18       Impact factor: 2.602

4.  A Controlled Trial of Inhaled Bronchodilators in Familial Dysautonomia.

Authors:  Bat-El Bar-Aluma; Ori Efrati; Horacio Kaufmann; Jose-Alberto Palma; Lucy Norcliffe-Kaufmann
Journal:  Lung       Date:  2017-12-12       Impact factor: 2.584

5.  Prediction of All-Cause Mortality Based on the Direct Measurement of Intrathoracic Impedance.

Authors:  Michael R Zile; Vinod Sharma; James W Johnson; Eduardo N Warman; Catalin F Baicu; Tom D Bennett
Journal:  Circ Heart Fail       Date:  2015-12-23       Impact factor: 8.790

6.  Device monitoring strategies in acute heart failure syndromes.

Authors:  Michael A Samara; W H Wilson Tang
Journal:  Heart Fail Rev       Date:  2011-09       Impact factor: 4.214

7.  Optimizing fluid management in patients with acute decompensated heart failure (ADHF): the emerging role of combined measurement of body hydration status and brain natriuretic peptide (BNP) levels.

Authors:  Roberto Valle; Nadia Aspromonte; Loredano Milani; Frank W Peacock; Alan S Maisel; Massimo Santini; Claudio Ronco
Journal:  Heart Fail Rev       Date:  2011-11       Impact factor: 4.214

8.  Fluid status monitoring with a wireless network to reduce cardiovascular-related hospitalizations and mortality in heart failure: rationale and design of the OptiLink HF Study (Optimization of Heart Failure Management using OptiVol Fluid Status Monitoring and CareLink).

Authors:  Johannes Brachmann; Michael Böhm; Karin Rybak; Gunnar Klein; Christian Butter; Hanno Klemm; Rolf Schomburg; Johannes Siebermair; Carsten Israel; Anil-Martin Sinha; Helmut Drexler
Journal:  Eur J Heart Fail       Date:  2011-05-08       Impact factor: 15.534

9.  Noninvasive cardiac monitoring in pregnancy: impedance cardiography versus echocardiography.

Authors:  J Burlingame; P Ohana; M Aaronoff; T Seto
Journal:  J Perinatol       Date:  2013-05-16       Impact factor: 2.521

10.  Leg edema quantification for heart failure patients via 3D imaging.

Authors:  Dieter Hayn; Friedrich Fruhwald; Arthur Riedel; Markus Falgenhauer; Günter Schreier
Journal:  Sensors (Basel)       Date:  2013-08-14       Impact factor: 3.576
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