Literature DB >> 25193676

Derivation of baseline lung impedance in chronic heart failure patients: use for monitoring pulmonary congestion and predicting admissions for decompensation.

Michael Shochat1, Avraham Shotan, David S Blondheim, Mark Kazatsker, Iris Dahan, Aya Asif, Ilia Shochat, Aaron Frimerman, Yoseph Rozenman, Simcha R Meisel.   

Abstract

The instantaneous lung impedance (ILI) is one of the methods to assess pulmonary congestion or edema (PCE) in chronic heart failure (CHF) patients. Due to usually existing PCE in CHF patients when evaluated, baseline lung impedance (BLI) is unknown. Therefore, the relation of ILI to BLI is unknown. Our aim was to evaluate methods to calculate and appraise BLI or its derivative as reflecting the clinical status of CHF patients. ILI and New York Heart Association (NYHA) class were assessed in 222 patients (67 ± 11 years, LVEF <35 %) during 32 months of frequent outpatient clinic visits. ILI, measured in 120 asymptomatic patients at NYHA class I, with no congestion on the chest X-ray and a low-normal 6-min walk, was defined as BLI. Using measured BLI and ILI values in these patients, formulas for BLI calculation were derived based on logistic regression analysis or on the disparity between BLI and ILI values at different NYHA stages. Both models were equally reliable with <3 % difference between measured and calculated BLI (p = NS). ΔLIR = (ILI/BLI - 1) × 100 % reflected the degree of PCE, or deviation from baseline, correlated with NYHA class (r = -0.9, p < 0.001) and could serve for monitoring. Of study patients, 123 were re-hospitalized for PCE during follow up. Their ΔLIR decreased gradually from -21.7 ± 8.2 % 4 weeks pre-admission to -37.8 ± 9.3 % on admission (p < 0.001). Patients improved during hospital stay (NYHA 3.7 ± 0.5 to 2.9 ± 0.8, p < 0.0001) with ΔLIR increasing to -29.1 ± 12.0 % (p < 0.001). ΔLIR based on calculated BLI correlated with the clinical status of CHF patients and allowed the prediction of hospitalizations for PCE.

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Year:  2014        PMID: 25193676     DOI: 10.1007/s10877-014-9610-6

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  21 in total

1.  Intrathoracic impedance monitoring, audible patient alerts, and outcome in patients with heart failure.

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Journal:  Circulation       Date:  2011-09-19       Impact factor: 29.690

2.  The validity of cardiac output measurement by thoracic impedance: a meta-analysis.

Authors:  H D Fuller
Journal:  Clin Invest Med       Date:  1992-04       Impact factor: 0.825

3.  Utility of impedance cardiography for the identification of short-term risk of clinical decompensation in stable patients with chronic heart failure.

Authors:  Milton Packer; William T Abraham; Mandeep R Mehra; Clyde W Yancy; Christine E Lawless; Judith E Mitchell; Frank W Smart; Rachel Bijou; Christopher M O'Connor; Barry M Massie; Ileana L Pina; Barry H Greenberg; James B Young; Daniel P Fishbein; Paul J Hauptman; Robert C Bourge; John E Strobeck; Srinvivas Murali; Douglas Schocken; John R Teerlink; Wayne C Levy; Robin J Trupp; Marc A Silver
Journal:  J Am Coll Cardiol       Date:  2006-05-15       Impact factor: 24.094

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Review 5.  The dielectric properties of biological tissues: I. Literature survey.

Authors:  C Gabriel; S Gabriel; E Corthout
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

6.  Evaluation study of congestive heart failure and pulmonary artery catheterization effectiveness: the ESCAPE trial.

Authors:  Cynthia Binanay; Robert M Califf; Vic Hasselblad; Christopher M O'Connor; Monica R Shah; George Sopko; Lynne W Stevenson; Gary S Francis; Carl V Leier; Leslie W Miller
Journal:  JAMA       Date:  2005-10-05       Impact factor: 56.272

7.  A fractally coated, 1.3 mm2 high impedance pacing electrode.

Authors:  G Fröhlig; A Bolz; J Ströbel; M Rutz; P Lawall; H Schwerdt; M Schaldach; H Schieffer
Journal:  Pacing Clin Electrophysiol       Date:  1998-06       Impact factor: 1.976

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.  Correlation of impedance cardiography with invasive hemodynamic measurements in patients with advanced heart failure: the BioImpedance CardioGraphy (BIG) substudy of the Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness (ESCAPE) Trial.

Authors:  Sandeep A Kamath; Mark H Drazner; Gudaye Tasissa; Joseph G Rogers; Lynne Warner Stevenson; Clyde W Yancy
Journal:  Am Heart J       Date:  2009-08       Impact factor: 4.749

10.  Internal thoracic impedance monitoring: a novel method for the preclinical detection of acute heart failure.

Authors:  Michael Shochat; Gideon Charach; Shmuel Meyler; Mark Kazatzker; Morris Mosseri; Aaron Frimerman; Paul Rabinovich; Avraham Shotan; Simcha Meisel
Journal:  Cardiovasc Revasc Med       Date:  2006 Jan-Mar
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  3 in total

Review 1.  Journal of Clinical Monitoring and Computing 2015 end of year summary: respiration.

Authors:  D S Karbing; S E Rees; M B Jaffe
Journal:  J Clin Monit Comput       Date:  2015-12-30       Impact factor: 2.502

2.  Prediction of readmissions and mortality in patients with heart failure: lessons from the IMPEDANCE-HF extended trial.

Authors:  Michael Kleiner Shochat; Marat Fudim; Avraham Shotan; David S Blondheim; Mark Kazatsker; Iris Dahan; Aya Asif; Yoseph Rozenman; Ilia Kleiner; Jean Marc Weinstein; Gurusher Panjrath; Paul A Sobotka; Simcha R Meisel
Journal:  ESC Heart Fail       Date:  2018-08-10

3.  Self-Care Monitoring of Heart Failure Symptoms and Lung Impedance at Home Following Hospital Discharge: Longitudinal Study.

Authors:  Anna Strömberg; Irene Lie; Ina Thon Aamodt; Edita Lycholip; Jelena Celutkiene; Thomas von Lueder; Dan Atar; Ragnhild Sørum Falk; Ragnhild Hellesø; Tiny Jaarsma
Journal:  J Med Internet Res       Date:  2020-01-07       Impact factor: 5.428

  3 in total

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