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Published on: February 9, 2016
Towards automating the pulmonary artery catheter: a canine validation study
Da Xu1, N Bari Olivier, Ramakrishna Mukkamala
1Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA. xuda@msu.edu
Summary
A novel technique estimates cardiac output (CO) and left atrial pressure (LAP) using pulmonary artery pressure (PAP) waveforms. This non-invasive method shows promising accuracy, potentially automating pulmonary artery catheterization.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Devices
Background:
- Pulmonary artery catheterization is invasive.
- Estimating cardiac output (CO) and left atrial pressure (LAP) is crucial for hemodynamic monitoring.
- Current methods for LAP estimation from pulmonary artery pressure (PAP) are imprecise.
Purpose of the Study:
- To review and evaluate a novel technique for automatic estimation of CO and LAP using PAP waveform analysis.
- To compare the accuracy of this technique against invasive gold standards.
Main Methods:
- A unique technique analyzing pulmonary artery pressure (PAP) waveforms was employed.
- The technique's performance was evaluated against aortic flow probe CO and direct LAP catheter measurements in dogs.
- Pharmacological interventions were used to create a wide hemodynamic range.
Main Results:
- The technique achieved an overall CO error of 15.3%.
- The technique achieved an overall LAP error of 17.1%.
- Classic end-diastolic PAP estimates for LAP had an error approximately three times larger than the novel technique.
Conclusions:
- The novel PAP waveform analysis technique accurately estimates CO and LAP.
- This technique offers a less invasive alternative to current methods.
- Further validation may lead to automated pulmonary artery catheterization.
