scholarly journals Continuous Cardiac Output Monitoring by Peripheral Blood Pressure Waveform Analysis

2006 ◽  
Vol 53 (3) ◽  
pp. 459-467 ◽  
Author(s):  
R. Mukkamala ◽  
A.T. Reisner ◽  
H.M. Hojman ◽  
R.G. Mark ◽  
R.J. Cohen
Keyword(s):  
Blood Pressure ◽  
Cardiac Output ◽  
Peripheral Blood ◽  
Continuous Cardiac Output ◽  
Waveform Analysis ◽  
Cardiac Output Monitoring ◽  
Pressure Waveform ◽  
Blood Pressure Waveform ◽  
Output Monitoring ◽  
Peripheral Blood Pressure

scholarly journals Continuous cardiac output monitoring in humans by invasive and noninvasive peripheral blood pressure waveform analysis

2006 ◽  
Vol 101 (2) ◽  
pp. 598-608 ◽  
Author(s):  
Zhenwei Lu ◽  
Ramakrishna Mukkamala
Keyword(s):  
Blood Pressure ◽  
Cardiac Output ◽  
Peripheral Resistance ◽  
Waveform Analysis ◽  
Cardiac Output Monitoring ◽  
Time Interval ◽  
Data Sets ◽  
Data Set ◽  
Arterial Blood ◽  
Output Monitoring

We present an evaluation of a novel technique for continuous (i.e., automatic) monitoring of relative cardiac output (CO) changes by long time interval analysis of a peripheral arterial blood pressure (ABP) waveform in humans. We specifically tested the mathematical analysis technique based on existing invasive and noninvasive hemodynamic data sets. With the former data set, we compared the application of the technique to peripheral ABP waveforms obtained via radial artery catheterization with simultaneous thermodilution CO measurements in 15 intensive care unit patients in which CO was changing because of disease progression and therapy. With the latter data set, we compared the application of the technique to noninvasive peripheral ABP waveforms obtained via a finger-cuff photoplethysmography system with simultaneous Doppler ultrasound CO measurements made by an expert in 10 healthy subjects during pharmacological and postural interventions. We report an overall CO root-mean-squared normalized error of 15.3% with respect to the invasive hemodynamic data set and 15.1% with respect to the noninvasive hemodynamic data set. Moreover, the CO errors from the invasive and noninvasive hemodynamic data sets were only mildly correlated with mean ABP (ρ = 0.41, 0.37) and even less correlated with CO (ρ = −0.14, −0.17), heart rate (ρ = 0.04, 0.19), total peripheral resistance (ρ = 0.38, 0.10), CO changes (ρ = −0.26, −0.20), and absolute CO changes (ρ = 0.03, 0.38). With further development and successful prospective testing, the technique may potentially be employed for continuous hemodynamic monitoring in the acute setting such as critical care and emergency care.

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