Evaluating corrected carotid flow time as a non-invasive parameter for trending cardiac output and stroke volume in cardiac surgery patients.

Autor: van Houte J; Department of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands. joris.v.houte@catharinaziekenhuis.nl.; Department of Intensive Care, Catharina Hospital, Eindhoven, The Netherlands. joris.v.houte@catharinaziekenhuis.nl.; Department of Anesthesiology and Intensive Care, Catharina Hospital, P.O. Box 1350, 5602 ZA, Eindhoven, The Netherlands. joris.v.houte@catharinaziekenhuis.nl., Raaijmaakers AE; Deparment of Anesthesiology, Maastricht University Medical Center, Maastricht, The Netherlands., Mooi FJ; Deparment of Anesthesiology, Maastricht University Medical Center, Maastricht, The Netherlands., Meijs LPB; Department of Intensive Care, Maastricht University Medical Center, Maastricht, The Netherlands., de Boer EC; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Suriani I; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands., Houterman S; Department of Education and Research, Catharina Hospital, Eindhoven, The Netherlands., Montenij LJ; Department of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands.; Department of Intensive Care, Catharina Hospital, Eindhoven, The Netherlands., Bouwman AR; Department of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands.
Jazyk: angličtina
Zdroj: Journal of ultrasound [J Ultrasound] 2023 Mar; Vol. 26 (1), pp. 89-97. Date of Electronic Publication: 2022 Apr 09.
DOI: 10.1007/s40477-022-00678-z
Abstrakt: 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.
(© 2022. Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB).)
Databáze: MEDLINE
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