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Performances of three minimally invasive cardiac output monitoring systems

de Wilde, R. B. P., Geerts, B. F., Cui, J., van den Berg, P. C. M. and Jansen, J. R. C. 2009, Performances of three minimally invasive cardiac output monitoring systems, Anaesthesia, vol. 64, no. 7, pp. 762-769.

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Title Performances of three minimally invasive cardiac output monitoring systems
Author(s) de Wilde, R. B. P.
Geerts, B. F.
Cui, J.
van den Berg, P. C. M.
Jansen, J. R. C.
Journal name Anaesthesia
Volume number 64
Issue number 7
Start page 762
End page 769
Publisher Wiley-Blackwell Publishing Ltd.
Place of publication London, England
Publication date 2009
ISSN 0003-2409
1365-2044
1461-6904
Summary We evaluated cardiac output (CO) using three new methods – the auto-calibrated FloTrac–Vigileo (COed), the non-calibrated Modelflow (COmf ) pulse contour method and the ultra-sound HemoSonic system (COhs) – with thermodilution (COtd) as the reference. In 13 postoperative cardiac surgical patients, 104 paired CO values were assessed before, during and after four interventions: (i) an increase of tidal volume by 50%; (ii) a 10 cm H2O increase in positive end-expiratory pressure; (iii) passive leg raising and (iv) head up position. With the pooled data the difference (bias (2SD)) between COed and COtd, COmf and COtd and COhs and COtd was 0.33 (0.90), 0.30 (0.69) and −0.41 (1.11) l.min−1, respectively. Thus, Modelflow had the lowest mean squared error, suggesting that it had the best performance. COed significantly overestimates changes in cardiac output while COmf and COhs values are not significantly different from those of COtd. Directional changes in cardiac output by thermodilution were detected with a high score by all three methods.
Language eng
Field of Research 111706 Epidemiology
Socio Economic Objective 920502 Health Related to Ageing
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2009, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30022930

Document type: Journal Article
Collection: Public Health Research, Evaluation, and Policy Cluster
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