Changes in corrected carotid flow time induced by recruitment maneuver predict fluid responsiveness in patients undergoing general anesthesia

Kimura, Aya; Suehiro, Koichi; Juri, Takashi; Tanaka, Katsuaki; Mori, Takashi

doi:10.1007/s10877-021-00736-7

Cited by 21 publications

(36 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Curiously, FTc also increased more following fluid administration in the non-responsive group, which is inconsistent with the findings of Kimura A et al [ 20 ] and Xu L et al [ 24 ]. The reasons for this discrepancy may be the following: 1.…”

Section: Discussioncontrasting

confidence: 88%

“…These included invasive monitoring, MAP and noninvasive ultrasound monitoring [18]. Among them, it was more common to use the change in stroke volume (SV) or stroke volume index (SVI) after fluid therapy as a measure of volume responsiveness [19,20]. However, we used SVV as the grouping criterion because SVV is currently considered the most reliable indicator of volume responsiveness and its most common diagnostic threshold is 13%, though SVV is reliable only under strictly controlled conditions (e.g., tidal volume ≥ 8 m l/kg ideal body weight and an absence of arrhythmias) [21][22][23].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Correlation of carotid corrected flow time and respirophasic variation in blood flow peak velocity with stroke volume variation in elderly patients under general anaesthesia

et al. 2022

View full text Add to dashboard Cite

Background Accurate assessment of volume responsiveness in elderly patients is important as it may reduce the risk of post-operative complications and enhance surgical recovery. This study evaluated the utility of two Doppler ultrasound-derived parameters, the carotid corrected flow time (FTc) and respirophasic variation in carotid artery blood flow peak velocity (ΔVpeak), to predict volume responsiveness in elderly patients under general anaesthesia. Methods A total of 97 elderly patients undergoing elective abdominal surgery under general anaesthesia were enrolled in this prospective observational study. After entering the operating room, all patients underwent radial artery puncture connected with a LiDCO device to measure stroke volume variation (SVV), and fluid therapy was performed after anaesthesia induction. Patients were classified as responders if SVV ≥ 13% before fluid challenge and nonresponders if SVV < 13%. The FTc, ΔVpeak, SVV and haemodynamic data were measured by ultrasound at baseline (T0) and before (T1) and after (T2) fluid challenge. The correlations between the Doppler ultrasound-derived parameters and SVV were analysed, and the receiver operating characteristic (ROC) curves was computed to characterize both FTc and ΔVpeak as measures of volume responsiveness in elderly patients. Results Forty-one (42.3%) patients were fluid responders. Carotid FTc before fluid challenge was negatively correlated with SVV before fluid challenge (r = -0.77; P < 0.01), and ΔVpeak was positively correlated with SVV (r = 0.72; P < 0.01). FTc and ΔVpeak predicted SVV ≥ 13% after general anaesthesia in elderly patients, with areas under the receiver operating characteristic curves (AUROCs) of 0.811 [95% confidence interval (CI), 0.721–0.900; P < 0.001] and 0.781 (95% CI, 0.686–0.875; P < 0.001), respectively. The optimal cut-off values of FTc and ΔVpeak to predict SVV ≥ 13% were 340.74 ms (sensitivity of 76.8%; specificity of 80.5%) and 11.69% (sensitivity of 78.0%; specificity of 67.9%), respectively. Conclusions There was a good correlation between carotid artery ultrasound parameters and SVV. FTc predicted fluid responsiveness better than ΔVpeak in elderly patients during general anaesthesia. Further study is needed before these parameters can be recommended for clinical application. Trial registration www.chictr.org.cn(ChiCTR2000031193); registered 23 March 2020.

show abstract

Section: Discussioncontrasting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Correlation of carotid corrected flow time and respirophasic variation in blood flow peak velocity with stroke volume variation in elderly patients under general anaesthesia

et al. 2022

View full text Add to dashboard Cite

show abstract

“…So, in recent times there has been considerable interest in using carotid ultrasound for predicting fluid responsiveness [7, 10-15, 17,18, 20-22]. These papers studied carotid corrected flow time [7, 10,14,15,17,18,22] changes in peak velocity [11-13, 17, 18, 20, 21] or carotid blood flow [22] to predict fluid responsiveness. Since most of the available studies used carotid corrected flow time or changes in peak velocity, we decided to use those two parameters for our systematic review and meta-analysis.…”

Section: Discussionmentioning

confidence: 99%

“…All rights reserved. Studies using carotid corrected flow time have used either Bazett's [10,18] or Wodey's [10,[14][15]17] formulas for assessing FTc. Bazett's formula is calculated by dividing the flow time with square root of cycle time while Wodey's formula gives FTc as measured flow time + [1.25 (heart rate -60].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Role of carotid corrected flow time and peak velocity variation in predicting fluid responsiveness: a systematic review and meta-analysis

Singla¹,

Gupta²,

Varshney³

et al. 2023

Korean J Anesthesiol

View full text Add to dashboard Cite

Background: Over a period, it was realized that dynamic parameters are more suitable as compared to static paraments in predicting fluid responsiveness. Still, most of these techniques require special equipment and are still minimally invasive. So, attention has recently been focused on the use of carotid artery ultrasound paraments like carotid corrected flow time (FTc), and peak velocity variation (∆V peak). Methods:We searched PubMed and EMBASE databases for articles studying the diagnostic accuracy of FTc or ∆V peak in predicting fluid responsiveness. Two independent authors performed the search and selected studies published up to May 2022. Studies were analysed based on inclusion and exclusion criteria with Rayyan (Rayyan Systems Inc. 2022). Results:We selected 10 (n=438) studies which fulfilled the inclusion criteria. Studies were divided in those studying FTc and those involving assessment of ∆V peak. Five studies (six data sets) assessed FTc. The pooled sensitivity of FTc was 0.758, specificity was 0.883. The SROC curve for FTc had an area under the curve (AUC) of 0.9092 with a Q value of 0.8412. Seven studies that calculated ∆Vpeak. The pooled sensitivity for ∆Vpeak was 0.828, specificity was 0.805. The SROC curve had an AUC of 0.8941 with a Q value of 0.8250. Conclusions:Our meta-analysis has shown that both carotid corrected flow time and peak velocity variation are useful in predicting fluid responsiveness in anaesthesia and critical care settings with good specificity and sensitivity.

show abstract

Assessing fluid responsiveness during spontaneous breathing

Suehiro¹

2022

J Anesth

View full text Add to dashboard Cite

Changes in corrected carotid flow time induced by recruitment maneuver predict fluid responsiveness in patients undergoing general anesthesia

Cited by 21 publications

References 36 publications

Correlation of carotid corrected flow time and respirophasic variation in blood flow peak velocity with stroke volume variation in elderly patients under general anaesthesia

Correlation of carotid corrected flow time and respirophasic variation in blood flow peak velocity with stroke volume variation in elderly patients under general anaesthesia

Role of carotid corrected flow time and peak velocity variation in predicting fluid responsiveness: a systematic review and meta-analysis

Assessing fluid responsiveness during spontaneous breathing

Contact Info

Product

Resources

About