Literature DB >> 24722322

Respirophasic carotid artery peak velocity variation as a predictor of fluid responsiveness in mechanically ventilated patients with coronary artery disease.

Y Song1, Y L Kwak2, J W Song1, Y J Kim3, J K Shim4.   

Abstract

BACKGROUND: We studied respirophasic variation in carotid artery blood flow peak velocity (ΔVpeak-CA) measured by pulsed wave Doppler ultrasound as a predictor of fluid responsiveness in mechanically ventilated patients with coronary artery disease.
METHODS: Forty patients undergoing elective coronary artery bypass surgery were enrolled. Subjects were classified as responders if stroke volume index (SVI) increased ≥15% after volume expansion (6 ml kg(-1)). The ΔVpeak-CA was calculated as the difference between the maximum and minimum values of peak velocity over a single respiratory cycle, divided by the average. Central venous pressure, pulmonary artery occlusion pressure, pulse pressure variation (PPV), and ΔVpeak-CA were recorded before and after volume expansion.
RESULTS: PPV and ΔVpeak-CA correlated significantly with an increase in SVI after volume expansion. Area under the receiver-operator characteristic curve (AUROC) of PPV and ΔVpeak-CA were 0.75 [95% confidence interval (CI) 0.59-0.90] and 0.85 (95% CI 0.72-0.97). The optimal cut-off values for fluid responsiveness of PPV and ΔVpeak-CA were 13% (sensitivity and specificity of 0.74 and 0.71) and 11% (sensitivity and specificity of 0.85 and 0.82), respectively. In a subgroup analysis of 17 subjects having pulse pressure hypertension (≥ 60 mm Hg), PPV failed to predict fluid responsiveness (AUROC 0.70, P=0.163), whereas the predictability of ΔVpeak-CA remained unchanged (AUROC 0.90, P=0.006).
CONCLUSIONS: Doppler assessment of respirophasic ΔVpeak-CA seems to be a highly feasible and reliable method to predict fluid responsiveness in mechanically ventilated patients undergoing coronary revascularization. CLINICAL TRIAL REGISTRATION: NCT 01836081.
© The Author [2014]. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Doppler ultrasound; blood flow velocity; carotid artery; fluid therapy; mechanical ventilation

Mesh:

Year:  2014        PMID: 24722322     DOI: 10.1093/bja/aeu057

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  15 in total

1.  Prediction of fluid responsiveness in the beach chair position using dynamic preload indices.

Authors:  Su Hyun Lee; Yong-Min Chun; Young Jun Oh; Seokyung Shin; Sang Jun Park; Soo Young Kim; Yong Seon Choi
Journal:  J Clin Monit Comput       Date:  2015-12-31       Impact factor: 2.502

2.  Comparison of superior and inferior vena cava diameter variation measured with transthoracic echocardiography to predict fluid responsiveness in mechanically ventilated patients after abdominal surgery.

Authors:  Qian Ma; Jingjing Ji; Xueduo Shi; Ziyun Lu; Lu Xu; Jing Hao; Wei Zhu; Bingbing Li
Journal:  BMC Anesthesiol       Date:  2022-05-17       Impact factor: 2.376

3.  Combination of Static Echocardiographic Indices for the Prediction of Fluid Responsiveness in Patients Undergoing Coronary Surgery: A Pilot Study.

Authors:  Hye-Bin Kim; Sarah Soh; Jong-Wook Song; Min-Yu Kim; Young-Lan Kwak; Jae-Kwang Shim
Journal:  J Clin Med       Date:  2021-04-27       Impact factor: 4.241

4.  Respiratory variation in carotid peak systolic velocity predicts volume responsiveness in mechanically ventilated patients with septic shock: a prospective cohort study.

Authors:  Miguel Á Ibarra-Estrada; José A López-Pulgarín; Julio C Mijangos-Méndez; José L Díaz-Gómez; Guadalupe Aguirre-Avalos
Journal:  Crit Ultrasound J       Date:  2015-06-26

Review 5.  Prediction of fluid responsiveness: an update.

Authors:  Xavier Monnet; Paul E Marik; Jean-Louis Teboul
Journal:  Ann Intensive Care       Date:  2016-11-17       Impact factor: 6.925

Review 6.  What is the impact of the fluid challenge technique on diagnosis of fluid responsiveness? A systematic review and meta-analysis.

Authors:  Laura Toscani; Hollmann D Aya; Dimitra Antonakaki; Davide Bastoni; Ximena Watson; Nish Arulkumaran; Andrew Rhodes; Maurizio Cecconi
Journal:  Crit Care       Date:  2017-08-04       Impact factor: 9.097

7.  Respiratory variation in peripheral arterial blood flow peak velocity to predict fluid responsiveness in mechanically ventilated patients: a systematic review and meta-analysis.

Authors:  Bo Yao; Jian-Yu Liu; Yun-Bo Sun
Journal:  BMC Anesthesiol       Date:  2018-11-13       Impact factor: 2.217

Review 8.  Fluid responsiveness in the pediatric population.

Authors:  Ji-Hyun Lee; Eun-Hee Kim; Young-Eun Jang; Hee-Soo Kim; Jin-Tae Kim
Journal:  Korean J Anesthesiol       Date:  2019-10-01

9.  Dynamic Indices Fail to Predict Fluid Responsiveness in Patients Undergoing One-Lung Ventilation for Thoracoscopic Surgery.

Authors:  Kwan-Hoon Choi; Jae-Kwang Shim; Dong-Wook Kim; Chun-Sung Byun; Ji-Hyoung Park
Journal:  J Clin Med       Date:  2021-05-27       Impact factor: 4.241

Review 10.  Fluid responsiveness in acute circulatory failure.

Authors:  Ahmed Hasanin
Journal:  J Intensive Care       Date:  2015-11-19
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