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Performance of cardiac output measurement derived from arterial pressure waveform analysis in patients requiring high-dose vasopressor therapy S. Metzelder, M. Coburn, M. Fries, M. Reinges, S. Reich, R. Rossaint, G. Marx, S. Rex British Journal of Anaesthesia Volume 106, Issue 6, Pages (June 2011) DOI: /bja/aer066 Copyright © 2011 The Author(s) Terms and Conditions
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Fig 1 Linear correlation analysis between TPCO and APCO. (a) Analysis for original CO data. (b) Analysis for percentage change. Separate regression analyses were performed to assess the correlation between the two methods for different ranges of CO changes: (i) decreases in TPCO >10% (blue circles, solid line; R=0.0367, R²= , P=0.85); minor changes in TPCO (−10%<▵TPCO<10%) (open triangles, dashed line; R=0.315, R²=0.0992, P<0.01); (ii) increases in TPCO >10% (pink squares, dotted line; R=0.346, R²=0.120, P=0.10). British Journal of Anaesthesia , DOI: ( /bja/aer066) Copyright © 2011 The Author(s) Terms and Conditions
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Fig 2 Bland–Altman analysis for CO measurements by TPCO and by APCO (arterial pressure waveform-derived cardiac output) for all data (a) and for changes in CO measurements (b). British Journal of Anaesthesia , DOI: ( /bja/aer066) Copyright © 2011 The Author(s) Terms and Conditions
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Fig 3 Logarithmic correlation analysis of the relationship between SVR (systemic vascular resistance) and TPCO–APCO for second-generation FloTrac software (a) and for third-generation FloTrac software (b). British Journal of Anaesthesia , DOI: ( /bja/aer066) Copyright © 2011 The Author(s) Terms and Conditions
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