Joris van Houte1,2,3, Anniek E Raaijmaakers4, Frederik J Mooi4, Loek P B Meijs5, Esmée C de Boer6, Irene Suriani6, Saskia Houterman7, Leon J Montenij8,9, Arthur R Bouwman8. 1. Department of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands. joris.v.houte@catharinaziekenhuis.nl. 2. Department of Intensive Care, Catharina Hospital, Eindhoven, The Netherlands. joris.v.houte@catharinaziekenhuis.nl. 3. Department of Anesthesiology and Intensive Care, Catharina Hospital, P.O. Box 1350, 5602 ZA, Eindhoven, The Netherlands. joris.v.houte@catharinaziekenhuis.nl. 4. Deparment of Anesthesiology, Maastricht University Medical Center, Maastricht, The Netherlands. 5. Department of Intensive Care, Maastricht University Medical Center, Maastricht, The Netherlands. 6. Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. 7. Department of Education and Research, Catharina Hospital, Eindhoven, The Netherlands. 8. Department of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands. 9. Department of Intensive Care, Catharina Hospital, Eindhoven, The Netherlands.
Abstract
PURPOSE: The corrected carotid flow time (ccFT) is derived from a pulsed-wave Doppler signal at the common carotid artery. Several equations are currently used to calculate ccFT. Its ability to assess the intravascular volume status non-invasively has recently been investigated. The purpose of this study was to evaluate the correlation and trending ability of ccFT with invasive cardiac output (CO) and stroke volume (SV) measurements. METHODS: Eighteen cardiac surgery patients were included in this prospective observational study. ccFT measurements were obtained at three time points: after induction of anesthesia (T1), after a passive leg raise (T2), and post-bypass (T3). Simultaneously, CO and SV were measured by calibrated pulse contour analysis. Three different equations (Bazett, Chambers, and Wodey) were used to calculate ccFT. The correlation and percentage change in time (concordance) between ccFT and CO and between ccFT and SV were evaluated. RESULTS: Mean ccFT values differed significantly for the three equations (p < 0.001). The correlation between ccFT and CO and between ccFT and SV was highest for Bazett's (ρ = 0.43, p < 0.0001) and Wodey's (ρ = 0.33, p < 0.0001) equations, respectively. Concordance between ΔccFT and ΔCO and between ΔccFT and ΔSV was highest for Bazett's (100%) and Wodey's (82%) equations, respectively. Subgroup analysis demonstrated that correlation and concordance between SV and ccFT improved when assessed within limited heart rate (HR) ranges. CONCLUSION: The use of different ccFT equations leads to variable correlation and concordance rates between ccFT and CO/SV measurements. Bazett's equation acceptably tracked CO changes in time, while the trending capability of SV was poor.
PURPOSE: The corrected carotid flow time (ccFT) is derived from a pulsed-wave Doppler signal at the common carotid artery. Several equations are currently used to calculate ccFT. Its ability to assess the intravascular volume status non-invasively has recently been investigated. The purpose of this study was to evaluate the correlation and trending ability of ccFT with invasive cardiac output (CO) and stroke volume (SV) measurements. METHODS: Eighteen cardiac surgery patients were included in this prospective observational study. ccFT measurements were obtained at three time points: after induction of anesthesia (T1), after a passive leg raise (T2), and post-bypass (T3). Simultaneously, CO and SV were measured by calibrated pulse contour analysis. Three different equations (Bazett, Chambers, and Wodey) were used to calculate ccFT. The correlation and percentage change in time (concordance) between ccFT and CO and between ccFT and SV were evaluated. RESULTS: Mean ccFT values differed significantly for the three equations (p < 0.001). The correlation between ccFT and CO and between ccFT and SV was highest for Bazett's (ρ = 0.43, p < 0.0001) and Wodey's (ρ = 0.33, p < 0.0001) equations, respectively. Concordance between ΔccFT and ΔCO and between ΔccFT and ΔSV was highest for Bazett's (100%) and Wodey's (82%) equations, respectively. Subgroup analysis demonstrated that correlation and concordance between SV and ccFT improved when assessed within limited heart rate (HR) ranges. CONCLUSION: The use of different ccFT equations leads to variable correlation and concordance rates between ccFT and CO/SV measurements. Bazett's equation acceptably tracked CO changes in time, while the trending capability of SV was poor.
Authors: David C Mackenzie; Noman A Khan; David Blehar; Scott Glazier; Yuchiao Chang; Christopher P Stowell; Vicki E Noble; Andrew S Liteplo Journal: Ann Emerg Med Date: 2015-05-21 Impact factor: 5.721
Authors: Valentina Girotto; Jean-Louis Teboul; Alexandra Beurton; Laura Galarza; Thierry Guedj; Christian Richard; Xavier Monnet Journal: Ann Intensive Care Date: 2018-05-29 Impact factor: 6.925