scholarly journals Pulse Wave Analysis to Estimate Cardiac Output

2020 ◽  
Vol 134 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Karim Kouz ◽  
Thomas W. L. Scheeren ◽  
Daniel de Backer ◽  
Bernd Saugel

Pulse wave analysis enables cardiac output to be estimated continuously and in real time. Pulse wave analysis methods can be classified into invasive, minimally invasive, and noninvasive and into externally calibrated, internally calibrated, and uncalibrated methods.

2009 ◽  
Vol 70 (3) ◽  
pp. 334-339 ◽  
Author(s):  
Andre C. Shih ◽  
Steeve Giguère ◽  
Linda C. Sanchez ◽  
Alexander Valverde ◽  
Hope J. Jankunas ◽  
...  

2021 ◽  
Vol 126 (1) ◽  
pp. 67-76
Author(s):  
Bernd Saugel ◽  
Karim Kouz ◽  
Thomas W.L. Scheeren ◽  
Gillis Greiwe ◽  
Phillip Hoppe ◽  
...  

2002 ◽  
Vol 103 (2) ◽  
pp. 143-149 ◽  
Author(s):  
Jaap J. REMMEN ◽  
Wim R.M. AENGEVAEREN ◽  
Freek W.A. VERHEUGT ◽  
Tjeerd VAN DER WERF ◽  
Hans E. LUIJTEN ◽  
...  

Non-invasive continuous monitoring of cardiac output could be very useful in clinical care and in research settings, particularly in elderly subjects. We studied whether Finapres arterial pulse wave analysis with Modelflow® is a reliable non-invasive method for the assessment of cardiac output in healthy elderly subjects. We compared Modelflow® cardiac output (MFCO) with thermodilution cardiac output (TDCO) in 28 healthy subjects, aged 70±4years (mean±S.D.). TDCO was measured during right-sided heart catheterization, while MFCO was calculated with Modelflow® software from non-invasive arterial Finapres blood pressure, which was measured simultaneously. The two methods were compared using a paired t-test, by Pearson correlation, and by Bland–Altman analysis. TDCO was 6.4±1.1litres/min (mean±S.D.) and MFCO was 4.7±1.3litres/min (P<0.001). There was no significant correlation between MFCO and TDCO (r = 0.28, P = 0.13). Mean difference (bias) was -1.7litres/min (S.E.M. 0.27litres/min), with an S.D. (precision) of 1.5litres/min. The 95% limits of agreement were -4.6 to +1.1litres/min. In conclusion, non-invasive MFCO values differed significantly from and showed no significant correlation with invasively determined TDCO values in the normal range. Although simple, non-invasive and patient-friendly, the Modelflow® method is inaccurate for assessment of cardiac output without invasive calibration.


2006 ◽  
Vol 7 (6) ◽  
pp. 532-535 ◽  
Author(s):  
Jeffrey J. Kim ◽  
W Jeffrey Dreyer ◽  
Anthony C. Chang ◽  
John P. Breinholt ◽  
Ronald G. Grifka

2002 ◽  
Vol 103 (2) ◽  
pp. 143 ◽  
Author(s):  
Jaap J. REMMEN ◽  
Wim R. M. AENGEVAEREN ◽  
Freek W. A. VERHEUGT ◽  
Tjeerd van der WERF ◽  
Hans E. LUIJTEN ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Alexander Reshetnik ◽  
Jonida Gjolli ◽  
Markus van der Giet ◽  
Friederike Compton

While invasive thermodilution techniques remain the reference methods for cardiac output (CO) measurement, there is a currently unmet need for non-invasive techniques to simplify CO determination, reduce complications related to invasive procedures required for indicator dilution CO measurement, and expand the application field toward emergency room, non-intensive care, or outpatient settings. We evaluated the performance of a non-invasive oscillometry-based CO estimation method compared to transpulmonary thermodilution. To assess agreement between the devices, we used Bland–Altman analysis. Four-quadrant plot analysis was used to visualize the ability of Mobil-O-Graph (MG) to track CO changes after a fluid challenge. Trending analysis of CO trajectories was used to compare MG and PiCCO® calibrated pulse wave analysis over time (6 h). We included 40 patients from the medical intensive care unit at the Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin between November 2019 and June 2020. The median age was 73 years. Forty percent of the study population was male; 98% was ventilator-dependent and 75% vasopressor-dependent at study entry. The mean of the observed differences for the cardiac output index (COI) was 0.7 l∗min–1*m–2 and the lower, and upper 95% limits of agreement (LOA) were -1.9 and 3.3 l∗min–1*m–2, respectively. The 95% confidence interval for the LOA was ± 0.26 l∗min–1*m–2, the percentage error 83.6%. We observed concordant changes in CO with MG and PiCCO® in 50% of the measurements after a fluid challenge and over the course of 6 h. Cardiac output calculation with a novel oscillometry-based pulse wave analysis method is feasible and replicable in critically ill patients. However, we did not find clinically applicable agreement between MG and thermodilution or calibrated pulse wave analysis, respectively, assessed with established evaluation routine using the Bland–Altman approach and with trending analysis methods. In summary, we do not recommend the use of this method in critically ill patients at this time. As the basic approach is promising and the CO determination with MG very simple to perform, further studies should be undertaken both in hemodynamically stable patients, and in the critical care setting to allow additional adjustments of the underlying algorithm for CO estimation with MG.


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