The Accuracy of the Vigileo/FloTrac Continuous Cardiac Output Monitor

Zimmermann, Andreas; Kufner, Christine; Hofbauer, S.; Steinwendner, J.; Hitzl, Wolfgang; Fritsch, Gerhard; Schistek, R; Kirnbauer, Michael; Pauser, G

doi:10.1053/j.jvca.2007.11.001

Cited by 61 publications

(32 citation statements)

References 14 publications

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“…Zimmermann ve ark., [12] FloTrac/Vigileo sistem ile termodilüsyon yöntemini karşılaştırdıkları çalışmala-rında zayıf bir korelasyon bulmuşlardır. Ancak, onlar, çalışmaya katılmayı reddeden ve acil kalp ameliyatına alınan hastalar haricinde hiçbir hastayı (ritm düzensiz-likleri, aortik balon pompası desteği, ileri derece triküs-pit yetmezliği, pulmoner arter hipertansiyonu, EF<40 olan hastalar) çalışma dışı bırakmamışlardır.…”

Section: Discussionunclassified

Comparison of cardiac output measurements obtained through thermo dilution method and arterial pressure wave analysis in patients undergoing cardiopulmonary bypass graft surgery

Ünver¹

2012

Turk Gogus Kalp Dama

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Section: Discussionunclassified

Comparison of cardiac output measurements obtained through thermo dilution method and arterial pressure wave analysis in patients undergoing cardiopulmonary bypass graft surgery

Ünver¹

2012

Turk Gogus Kalp Dama

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“…22 Heart signals were recorded from each subject by a digital data acquisition system. In brief, the system consists of piezoelectric contact transducers (PPG sensor model 3, OHK Medical Devices), an ECG sensor (model EKG-BTA, Vernier Software & Technology), a preamplifier with high input impedance and a linear frequency range of 1-4 KHz, a 16-bit analog-to-digital converter (model PMD-1608FS, Measurement Computing Corp.), and a recording software written in Matlab version 6.5 (The Mathworks Inc.), running on a mobile computer.…”

Section: Methodsmentioning

confidence: 99%

The Use of Pneumoperitoneum During Laparoscopic Surgery as a Model to Study Pathophysiologic Phenomena: The Correlation of Cardiac Functionality with Computerized Acoustic Indices—Preliminary Data

Bickel

Eitan

Мельник

et al. 2012

Journal of Laparoendoscopic & Advanced Surgical Techniques

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Background: Induction of pneumoperitoneum during laparoscopic surgery leads to diverse cardiovascular changes that can be used as a model to study pathophysiologic phenomena. Application of novel signal processing and figure extraction enabled searching for correlation between various signals and pathophysiologic setting. Our aim was to quantitatively correlate cardiac functionality (as expressed by cardiac output) with the spectral energy of the first heart sound (S1) obtained from the phonocardiogram, during laparoscopic surgery. Patients and Methods: Patients who were scheduled for elective laparoscopic operations were enrolled in the study. Cardiac output was maximally changed during anesthesia and abdominal insufflation and was obtained from the arterial pressure wave (FloTracÔ sensor and VigileoÔ monitor [Edwards Lifesciences Ltd.]). Heart signals were recorded during surgery from each subject by a computerized digital data acquisition system. The automatic analysis of the heart sounds included segmentation that was based on the energy envelope of the heart sounds together with analysis of the electrocardiogram signal. We analyzed the morphology of the sounds using hierarchial cluster analysis to remove those sounds that were not reliably recorded. The magnitude of the amplitude of heart sounds was obtained by using the Hilbert transform for each heartbeat. Statistical analysis was based on linear regression. Results: Following exclusion of 3 patients (mainly because of technical reasons), we were left with 7 patients who demonstrated statistically significant positive correlation between cardiac index and the amplitude of S1 (regression coefficient between 0.4 and 0.9, P < .05). Linear regression analysis was done on the normalized values of all 7 patients and was found to be highly significant. Conclusions:In this study we have demonstrated significant linear correlation between the acoustic amplitude (spectral energy) of S1 and cardiac functionality, through sophisticated computerized analysis, using the pneumoperitoneum model for changing the cardiac output.

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“…The Vigileo/ FloTrac system (Edwards Lifesciences, Irvine, CA, USA) uses a proprietary software algorithm to determine CO by analyzing the arterial waveform, and it has the advantage of being able to be used with any arterial catheter in any location. Although software upgrades have improved the accuracy of the values obtained from this device, 35 some limitations exist when using the algorithm in critically ill patients. 36 The LiDCO Plus system (LiDCO, Cambridge, UK) also uses pulse contour analysis to determine SV Endpoints of Resuscitation and CO, but to estimate SV, it uses a lithium-based dye dilution technique, which has been shown to be as reliable as other thermodilution methods.…”

Section: Arterial Pulse Waveform Analysis/pulse Contour Analysismentioning

confidence: 99%