Literature DB >> 22688951

Feasibility of using multivector impedance to monitor pulmonary congestion in heart failure patients.

Philip F Binkley1, James G Porterfield, Linda M Porterfield, Scott L Beau, Raffaele Corbisiero, G Stephen Greer, Charles J Love, Melanie Turkel, Anders Bjorling, Fujian Qu, Taraneh G Farazi.   

Abstract

PURPOSE: Pulmonary edema (PE) is associated with fluid accumulation in the lungs. Device-based impedance measurements have been used to detect fluid overload prior to hospitalization. However, studies have reported a high false positive rate (FPR). The objective of this study was to develop and test a new multivector impedance-based algorithm that reliably tracks PE clinical events.
METHODS: We enrolled patients with implanted CRT-Ds in 23 US centers within 2 weeks of device implant. Six-vector impedance data was collected automatically by the CRT-Ds every 30 min during emergency department visits/hospitalizations and every 2 h at all other times. Detection algorithms for cardiac resynchronization therapy defibrillator (CRT-D) and implantable cardiac defibrillator (ICD) devices were developed using those impedance vectors that would be available in corresponding devices and retrospectively evaluated.
RESULTS: There were 75 patients (69 % male), mean age 66 ± 12 years, with a LVEF of 23 ± 6 % and QRS of 149 ± 25 ms. Twenty-one major clinical events occurred over 8.2 ± 2.6 months of follow-up time. CRT-D vector combinations resulted in a sensitivity of 71.4 % (95 % confidence interval 47.8-88.7) and a FPR of 0.56 (0.30-0.94) false positives per patient-year (FPs/pt-yr); ICD vector combinations resulted in a sensitivity of 61.9 % (38.4-81.9) and a FPR of 0.63 (0.36-0.90) FPs/pt-yr. In comparison, the single-vector RVCoil-Can implementation of this algorithm resulted in a sensitivity of 57.1 % (34.0-78.2) and a FPR of 0.74 (0.44-1.12) FPs/pt-yr.
CONCLUSIONS: This multivector impedance algorithm was effective in tracking PE clinical events in this patient population. Additional studies are needed to prospectively evaluate the performance of this algorithm in a larger population.

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Year:  2012        PMID: 22688951     DOI: 10.1007/s10840-012-9693-2

Source DB:  PubMed          Journal:  J Interv Card Electrophysiol        ISSN: 1383-875X            Impact factor:   1.900


  19 in total

1.  An unusual cause of abnormal intrathoracic impedance in a patient with arrhythmogenic right ventricular cardiomyopathy.

Authors:  Daniel B Kramer; William H Maisel
Journal:  Pacing Clin Electrophysiol       Date:  2010-04-26       Impact factor: 1.976

2.  Physician-directed patient self-management of left atrial pressure in advanced chronic heart failure.

Authors:  Jay Ritzema; Richard Troughton; Iain Melton; Ian Crozier; Robert Doughty; Henry Krum; Anthony Walton; Philip Adamson; Saibal Kar; Prediman K Shah; Mark Richards; Neal L Eigler; James S Whiting; Garrie J Haas; J Thomas Heywood; Christopher M Frampton; William T Abraham
Journal:  Circulation       Date:  2010-02-22       Impact factor: 29.690

3.  Intrathoracic impedance monitoring to predict decompensated heart failure.

Authors:  Claudia Ypenburg; Jeroen J Bax; Ernst E van der Wall; Martin J Schalij; Lieselot van Erven
Journal:  Am J Cardiol       Date:  2007-01-02       Impact factor: 2.778

Review 4.  Fundamentals of intrathoracic impedance monitoring in heart failure.

Authors:  Li Wang
Journal:  Am J Cardiol       Date:  2007-03-09       Impact factor: 2.778

5.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

6.  Intrathoracic impedance vs daily weight monitoring for predicting worsening heart failure events: results of the Fluid Accumulation Status Trial (FAST).

Authors:  William T Abraham; Steven Compton; Garrie Haas; Blair Foreman; Robert C Canby; Robert Fishel; Scott McRae; Gloria B Toledo; Shantanu Sarkar; Douglas A Hettrick
Journal:  Congest Heart Fail       Date:  2011-03-21

7.  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

8.  Clinical utility of intrathoracic impedance monitoring to alert patients with an implanted device of deteriorating chronic heart failure.

Authors:  Dirk Vollmann; Herbert Nägele; Patrick Schauerte; Uwe Wiegand; Christian Butter; Gabriele Zanotto; Aurelio Quesada; Axel Guthmann; Michael R S Hill; Barbara Lamp
Journal:  Eur Heart J       Date:  2007-02-19       Impact factor: 29.983

9.  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

10.  Recent national trends in readmission rates after heart failure hospitalization.

Authors:  Joseph S Ross; Jersey Chen; Zhenqiu Lin; Héctor Bueno; Jeptha P Curtis; Patricia S Keenan; Sharon-Lise T Normand; Geoffrey Schreiner; John A Spertus; Maria T Vidán; Yongfei Wang; Yun Wang; Harlan M Krumholz
Journal:  Circ Heart Fail       Date:  2009-11-10       Impact factor: 8.790

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  3 in total

1.  Intracardiac impedance after cardiac resynchronization therapy is a novel predictor for worsening of heart failure.

Authors:  Hitoshi Suzuki; Minoru Nodera; Masashi Kamioka; Takashi Kaneshiro; Yoshiyuki Kamiyama; Yasuchika Takeishi
Journal:  Heart Vessels       Date:  2017-02-08       Impact factor: 2.037

2.  Thoracic impedance measures tissue characteristics in the vicinity of the electrodes, not intervening lung water: implications for heart failure monitoring.

Authors:  Christopher J Charles; Miriam T Rademaker; Iain C Melton; Dan Gutfinger; Neal L Eigler; Fujian Qu; Richard W Troughton
Journal:  J Clin Monit Comput       Date:  2014-03-12       Impact factor: 2.502

3.  Accurate monitoring of intravascular fluid volume: A novel application of intrathoracic impedance measures for the guidance of volume reduction therapy.

Authors:  Barbara A Lara; Fujian Qu; E Kevin Heist; Behzad B Pavri; Adrian B Van Bakel; John M Herre; Philip F Binkley
Journal:  Int J Cardiol Heart Vasc       Date:  2015-05-15
  3 in total

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