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Thoracic impedance measures tissue characteristics in the vicinity of the electrodes, not intervening lung water: implications for heart failure monitoring
- Source :
- Journal of Clinical Monitoring and Computing
- Publication Year :
- 2014
- Publisher :
- Springer Netherlands, 2014.
-
Abstract
- The rationale for intrathoracic impedance (Z) detection of worsening heart failure (HF) presupposes that changes in Z reflect changes in pulmonary congestion, but is confounded by poor specificity in clinical trials. We therefore tested the hypothesis that Z is primarily affected by tissue/water content in proximity to electrodes rather than by lung water distribution between electrodes through the use of a new computational model for deriving the near-field impedance contributions from the various electrodes. Six sheep were implanted with a left atrial pressure (LAP) monitor and a cardiac resynchronization therapy device which measured Z from six vectors comprising of five electrodes. The vector-based Z was modelled as the summation of the near-field impedances of the two electrodes forming the vector. During volume expansion an acute increase in LAP resulted in simultaneous reductions in the near-field impedances of the intra-cardiac electrodes, while the subcutaneous electrode showed several hours of lag (all p
- Subjects :
- medicine.medical_specialty
Time Factors
medicine.medical_treatment
Implantable monitors
Cardiac resynchronization therapy
Hemodynamics
Health Informatics
Pulmonary Edema
Anesthesia, General
Critical Care and Intensive Care Medicine
Cardiography, Impedance
Internal medicine
Edema
medicine
Electric Impedance
Animals
Computer Simulation
Heart Atria
Electrodes
Lung
Original Research
Monitoring, Physiologic
Heart Failure
Sheep
medicine.diagnostic_test
business.industry
Water
Blood Pressure Determination
Pulmonary edema
medicine.disease
Left atrial pressure
Impedance cardiography
Anesthesiology and Pain Medicine
medicine.anatomical_structure
Heart failure
Electrode
Cardiology
medicine.symptom
business
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 15732614 and 13871307
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Monitoring and Computing
- Accession number :
- edsair.doi.dedup.....4e88e74ab0359f2263e35b8e8c1437f3