Correlation Between Doppler Derived Carotid Artery Corrected Flow Time and Pressure Transducer Derived Radial Artery Corrected Flow Time: A Prospective Observational Study

2020 ◽  
Vol 11 (2) ◽  
pp. 128-133
Author(s):  
Souvik Maitra ◽  
Sulagna Bhattacharjee ◽  
Dalim K. Baidya
Keyword(s):  
Carotid Artery ◽  
Observational Study ◽  
Radial Artery ◽  
Pressure Transducer ◽  
Prospective Observational Study ◽  
Flow Time ◽  
Corrected Flow Time ◽  
Corrected Flow

Carotid artery corrected flow time measurement via bedside ultrasonography in monitoring volume status

2015 ◽  
Vol 30 (6) ◽  
pp. 1199-1203 ◽  
Author(s):  
Hooman Hossein-Nejad ◽  
Payam Mohammadinejad ◽  
Mahboob Lessan-Pezeshki ◽  
Seyedhossein Seyedhosseini Davarani ◽  
Mohsen Banaie
Keyword(s):  
Carotid Artery ◽  
Time Measurement ◽  
Flow Time ◽  
Volume Status ◽  
Bedside Ultrasonography ◽  
Corrected Flow Time ◽  
Corrected Flow

scholarly journals Diagnostic characteristics of 11 formulae for calculating corrected flow time as measured by a wearable Doppler patch

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Jon-Émile S. Kenny ◽  
Igor Barjaktarevic ◽  
David C. Mackenzie ◽  
Andrew M. Eibl ◽  
Matthew Parrotta ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Sensitivity And Specificity ◽  
Doppler Ultrasound ◽  
Flow Time ◽  
Cardiac Preload ◽  
Respiratory Cycle ◽  
Quiet Breathing ◽  
Diagnostic Characteristics ◽  
Corrected Flow Time ◽  
Corrected Flow

Abstract Background Change of the corrected flow time (Ftc) is a surrogate for tracking stroke volume (SV) in the intensive care unit. Multiple Ftc equations have been proposed; many have not had their diagnostic characteristics for detecting SV change reported. Further, little is known about the inherent Ftc variability induced by the respiratory cycle. Materials and methods Using a wearable Doppler ultrasound patch, we studied the clinical performance of 11 Ftc equations to detect a 10% change in SV measured by non-invasive pulse contour analysis; 26 healthy volunteers performed a standardized cardiac preload modifying maneuver. Results One hundred changes in cardiac preload and 3890 carotid beats were analyzed. Most of the 11 Ftc equations studied had similar diagnostic attributes. Wodeys’ and Chambers’ formulae had identical results; a 2% change in Ftc detected a 10% change in SV with a sensitivity and specificity of 96% and 93%, respectively. Similarly, a 3% change in Ftc calculated by Bazett’s formula displayed a sensitivity and specificity of 91% and 93%. FtcWodey had 100% concordance and an R2 of 0.75 with change in SV; these values were 99%, 0.76 and 98%, 0.71 for FtcChambers and FtcBazetts, respectively. As an exploratory analysis, we studied 3335 carotid beats for the dispersion of Ftc during quiet breathing using the equations of Wodey and Bazett. The coefficient of variation of Ftc during quiet breathing for these formulae were 0.06 and 0.07, respectively. Conclusions Most of the 11 different equations used to calculate carotid artery Ftc from a wearable Doppler ultrasound patch had similar thresholds and abilities to detect SV change in healthy volunteers. Variation in Ftc induced by the respiratory cycle is important; measuring a clinically significant change in Ftc with statistical confidence requires a large sample of beats.

Corrected flow time: a noninvasive ultrasound measure to detect preload reduction by nitroglycerin

2016 ◽  
Vol 34 (9) ◽  
pp. 1859-1862 ◽  
Author(s):  
Joseph R. Pare ◽  
Rachel Liu ◽  
Christopher L. Moore ◽  
Basmah Safdar
Keyword(s):  
Flow Time ◽  
Preload Reduction ◽  
Corrected Flow Time ◽  
Corrected Flow
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