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An autocalibrating algorithm for non-invasive cardiac output determination based on the analysis of an arterial pressure waveform recorded with radial artery applanation tonometry: a proof of concept pilot analysis.
- Source :
-
Journal of clinical monitoring and computing [J Clin Monit Comput] 2014 Aug; Vol. 28 (4), pp. 357-62. Date of Electronic Publication: 2013 Dec 10. - Publication Year :
- 2014
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Abstract
- We aimed to describe and evaluate an autocalibrating algorithm for determination of cardiac output (CO) based on the analysis of an arterial pressure (AP) waveform recorded using radial artery applanation tonometry (AT) in a continuous non-invasive manner. To exemplarily describe and evaluate the CO algorithm, we deliberately selected 22 intensive care unit patients with impeccable AP waveforms from a database including AP data obtained with AT (T-Line system; Tensys Medical Inc.). When recording AP data for this prospectively maintained database, we had simultaneously noted CO measurements obtained from just calibrated pulse contour analysis (PiCCO system; Pulsion Medical Systems) every minute. We applied the autocalibrating CO algorithm to the AT-derived AP waveforms and noted the computed CO values every minute during a total of 15 min of data recording per patient (3 × 5-min intervals). These 330 AT-derived CO (AT-CO) values were then statistically compared to the corresponding pulse contour CO (PC-CO) values. Mean ± standard deviation for PC-CO and AT-CO was 7.0 ± 2.0 and 6.9 ± 2.1 L/min, respectively. The coefficient of variation for PC-CO and AT-CO was 0.280 and 0.299, respectively. Bland-Altman analysis demonstrated a bias of +0.1 L/min (standard deviation 0.8 L/min; 95% limits of agreement -1.5 to 1.7 L/min, percentage error 23%). CO can be computed based on the analysis of the AP waveform recorded with AT. In the selected patients included in this pilot analysis, a percentage error of 23% indicates clinically acceptable agreement between AT-CO and PC-CO.
- Subjects :
- Aged
Blood Pressure Determination standards
Calibration
Diagnosis, Computer-Assisted standards
Feasibility Studies
Female
Germany
Humans
Male
Manometry standards
Middle Aged
Pilot Projects
Pulse Wave Analysis methods
Pulse Wave Analysis standards
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Arterial Pressure physiology
Blood Pressure Determination methods
Cardiac Output physiology
Diagnosis, Computer-Assisted methods
Manometry methods
Radial Artery physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2614
- Volume :
- 28
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of clinical monitoring and computing
- Publication Type :
- Academic Journal
- Accession number :
- 24322474
- Full Text :
- https://doi.org/10.1007/s10877-013-9540-8