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      KCI등재 SCOPUS SCIE

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

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      https://www.riss.kr/link?id=A109055934

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      다국어 초록 (Multilingual Abstract)

      Background: Dynamic parameters used for predicting fluid responsiveness require special equipment and are minimally invasive. Therefore, recent interest in the use of carotid artery ultrasound parameters, such as carotid corrected flow time (FTc) and peak velocity variation (ΔVpeak) has grown. Therefore, we performed this systematic review and meta-analysis to assess the ability of carotid FTc and/or ΔVpeak to accurately predict fluid responsiveness.Methods: We searched the PubMed and Embase databases for articles evaluating the diagnostic accuracy of carotid FTc or ΔVpeak for predicting fluid responsiveness. Two independent authors performed the search and selected studies published until May 2022. The studies were assessed for the inclusion and exclusion criteria using Rayyan (Rayyan Systems Inc., 2022).Results: Ten studies (n=438) that fulfilled the inclusion criteria were selected. Studies were divided into those assessing carotid FTc and those assessing carotid ΔVpeak. Five studies (six datasets) assessed FTc. The pooled sensitivity and specificity of carotid FTc were 0.76 and 0.88, respectively. The summary receiver operating characteristic (SROC) curve for carotid FTc had an area under the curve (AUC) of 0.9092, with a Q value of 0.8412. Seven studies calculated carotid ΔVpeak. The pooled sensitivity and specificity for ΔVpeak were 0.83 and 0.81, respectively. The SROC curve had an AUC of 0.8941 and a Q value of 0.8250.Conclusions: Our meta-analysis showed that both carotid FTc and ΔVpeak are useful for predicting fluid responsiveness in anesthesia and critical care settings with good specificity and sensitivity.
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      Background: Dynamic parameters used for predicting fluid responsiveness require special equipment and are minimally invasive. Therefore, recent interest in the use of carotid artery ultrasound parameters, such as carotid corrected flow time (FTc) and ...

      Background: Dynamic parameters used for predicting fluid responsiveness require special equipment and are minimally invasive. Therefore, recent interest in the use of carotid artery ultrasound parameters, such as carotid corrected flow time (FTc) and peak velocity variation (ΔVpeak) has grown. Therefore, we performed this systematic review and meta-analysis to assess the ability of carotid FTc and/or ΔVpeak to accurately predict fluid responsiveness.Methods: We searched the PubMed and Embase databases for articles evaluating the diagnostic accuracy of carotid FTc or ΔVpeak for predicting fluid responsiveness. Two independent authors performed the search and selected studies published until May 2022. The studies were assessed for the inclusion and exclusion criteria using Rayyan (Rayyan Systems Inc., 2022).Results: Ten studies (n=438) that fulfilled the inclusion criteria were selected. Studies were divided into those assessing carotid FTc and those assessing carotid ΔVpeak. Five studies (six datasets) assessed FTc. The pooled sensitivity and specificity of carotid FTc were 0.76 and 0.88, respectively. The summary receiver operating characteristic (SROC) curve for carotid FTc had an area under the curve (AUC) of 0.9092, with a Q value of 0.8412. Seven studies calculated carotid ΔVpeak. The pooled sensitivity and specificity for ΔVpeak were 0.83 and 0.81, respectively. The SROC curve had an AUC of 0.8941 and a Q value of 0.8250.Conclusions: Our meta-analysis showed that both carotid FTc and ΔVpeak are useful for predicting fluid responsiveness in anesthesia and critical care settings with good specificity and sensitivity.

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      참고문헌 (Reference)

      1 Barjaktarevic I, "Ultrasound assessment of the change in carotid corrected flow time in fluid responsiveness in undifferentiated shock" 46 : e1040-6, 2018

      2 Soliman M, "The validity of carotid doppler peak velocity and inferior vena cava collapsibility index in identifying the fluid responders in mechanically ventilated septic shock patients" 10 : 383-388, 2022

      3 Xu L, "The predictive ability of carotid artery corrected flow time and respirophasic variation in blood flow peak velocity measured by ultrasonography for fluid responsiveness in parturients for cesarean delivery" 86 : 1039-1046, 2020

      4 Page MJ, "The PRISMA 2020 statement : an updated guideline for reporting systematic reviews" 372 : n71-, 2021

      5 Hassan S, "Systolic time intervals : a review of the method in the non-invasive investigation of cardiac function in health, disease and clinical pharmacology" 59 : 423-434, 1983

      6 Rhodes A, "Surviving sepsis campaign : international guidelines for management of sepsis and septic shock : 2016" 43 : 304-377, 2017

      7 Nuttall G, "Surgical and patient risk factors for severe arterial line complications in adults" 124 : 590-597, 2016

      8 De Backer D, "Should we measure the central venous pressure to guide fluid management? Ten answers to 10 questions" 22 : 43-, 2018

      9 Song Y, "Respirophasic carotid artery peak velocity variation as a predictor of fluid responsiveness in mechanically ventilated patients with coronary artery disease" 113 : 61-66, 2014

      10 Yao B, "Respiratory variation in peripheral arterial blood flow peak velocity to predict fluid responsiveness in mechanically ventilated patients : a systematic review and meta-analysis" 18 : 168-, 2018

      1 Barjaktarevic I, "Ultrasound assessment of the change in carotid corrected flow time in fluid responsiveness in undifferentiated shock" 46 : e1040-6, 2018

      2 Soliman M, "The validity of carotid doppler peak velocity and inferior vena cava collapsibility index in identifying the fluid responders in mechanically ventilated septic shock patients" 10 : 383-388, 2022

      3 Xu L, "The predictive ability of carotid artery corrected flow time and respirophasic variation in blood flow peak velocity measured by ultrasonography for fluid responsiveness in parturients for cesarean delivery" 86 : 1039-1046, 2020

      4 Page MJ, "The PRISMA 2020 statement : an updated guideline for reporting systematic reviews" 372 : n71-, 2021

      5 Hassan S, "Systolic time intervals : a review of the method in the non-invasive investigation of cardiac function in health, disease and clinical pharmacology" 59 : 423-434, 1983

      6 Rhodes A, "Surviving sepsis campaign : international guidelines for management of sepsis and septic shock : 2016" 43 : 304-377, 2017

      7 Nuttall G, "Surgical and patient risk factors for severe arterial line complications in adults" 124 : 590-597, 2016

      8 De Backer D, "Should we measure the central venous pressure to guide fluid management? Ten answers to 10 questions" 22 : 43-, 2018

      9 Song Y, "Respirophasic carotid artery peak velocity variation as a predictor of fluid responsiveness in mechanically ventilated patients with coronary artery disease" 113 : 61-66, 2014

      10 Yao B, "Respiratory variation in peripheral arterial blood flow peak velocity to predict fluid responsiveness in mechanically ventilated patients : a systematic review and meta-analysis" 18 : 168-, 2018

      11 Ibarra-Estrada MÁ, "Respiratory variation in carotid peak systolic velocity predicts volume responsiveness in mechanically ventilated patients with septic shock : a prospective cohort study" 7 : 29-, 2015

      12 Abbasi A, "Respiratory variation in carotid artery peak systolic velocity is unable to predict fluid responsiveness in spontaneously breathing critically Ill patients when assessed by novice physician sonologists" 36 : 885-892, 2021

      13 Whiting PF, "QUADAS-2 : a revised tool for the quality assessment of diagnostic accuracy studies" 155 : 529-536, 2011

      14 Guerin L, "Monitoring volume and fluid responsiveness : from static to dynamic indicators" 27 : 177-185, 2013

      15 Yin WH, "Measurement of peak velocity variation of common carotid artery with bedside ultrasound to estimate preload in surgery ICU" 44 : 624-628, 2013

      16 Altman DG, "How to obtain the P value from a confidence interval" 343 : d2304-, 2011

      17 Lu N, "Exploring the best predictors of fluid responsiveness in patients with septic shock" 35 : 1258-1261, 2017

      18 van Houte J, "Evaluating corrected carotid flow time as a non-invasive parameter for trending cardiac output and stroke volume in cardiac surgery patients" 26 : 89-97, 2023

      19 Ma IW, "Correlation of carotid blood flow and corrected carotid flow time with invasive cardiac output measurements" 9 : 10-, 2017

      20 Cecconi M, "Consensus on circulatory shock and hemodynamic monitoring. Task force of the European Society of Intensive Care Medicine" 40 : 1795-1815, 2014

      21 Kimura A, "Changes in corrected carotid flow time induced by recruitment maneuver predict fluid responsiveness in patients undergoing general anesthesia" 36 : 1069-1077, 2022

      22 Abbasi A, "Change in carotid blood flow and carotid corrected flow time assessed by novice sonologists fails to determine fluid responsiveness in spontaneously breathing intensive care unit patients" 46 : 2659-2666, 2020

      23 Pace R, "Carotid vs. aortic velocity time integral and peak velocity to predict fluid responsiveness in mechanically ventilated patients. A comparative study" 88 : 352-360, 2022

      24 Beier L, "Carotid ultrasound to predict fluid responsiveness : a systematic review" 39 : 1965-1976, 2020

      25 Kim DH, "Carotid ultrasound measurements for assessing fluid responsiveness in spontaneously breathing patients : corrected flow time and respirophasic variation in blood flow peak velocity" 121 : 541-549, 2018

      26 Roehrig C, "Carotid Doppler flowmetry correlates poorly with thermodilution cardiac output following cardiac surgery" 61 : 31-38, 2017

      27 Mohammadinejad P, "Calculation of corrected flow time : Wodey’s formula vs. Bazett’s formula" 44 : 154-155, 2018

      28 Cherpanath TG, "Basic concepts of fluid responsiveness" 21 : 530-536, 2013

      29 Jung S, "Ability of carotid corrected flow time to predict fluid responsiveness in patients mechanically ventilated using low tidal volume after surgery" 10 : 2676-, 2021

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