Literature DB >> 28219130

[The value of brachial artery peak velocity variation during the Valsalva maneuver to predict fluid responsiveness].

L F Sheng1, M Yan, F J Zhang, Q S Ren, S H Yu, M Wu.   

Abstract

Objective: To evaluate whether brachial artery peak velocity variation(ΔVp) during a Valsalva maneuver(VM) could predict fluid responsiveness in spontaneously breathing patients.
Methods: Ninety-six patients required radial artery catheter for elective surgery of Ningbo Yinzhou People's Hospital from December 2014 to June 2016 were enrolled. The brachial artery Doppler signal was recorded to measure the ΔVp while the VM was performed.Then doing the volume expansion (VE) , the cardiac output variation (ΔCO) before and after VE were measured.Pearson correlational analyses were conducted between ΔVp and ΔCO. Also the sensitivity and specificity of ΔVp were determined in predicting fluid responsiveness by the receiver operating characteristic (ROC) curve.
Results: Patients were classified as group responders (n=24) and group non-responders (n=72). Responder was defined as cardiac output increased≥15% after VE.The ΔVp correlated well with ΔCO (r=0.792, P<0.01). The area under ROC curve was 0.903, with the ΔVp cut-off of 33%, the sensitivity of 87% and the specificity of 82%(P<0.01).
Conclusion: Brachial artery peak velocity variation during a valsalva maneuver is a feasible method for predicting fluid responsiveness in spontaneously breathing patients.

Entities:  

Keywords:  Blood flow velocity; Brachial artery; Lung volume measurements; Respiration; Valsalva maneuver

Mesh:

Year:  2017        PMID: 28219130     DOI: 10.3760/cma.j.issn.0376-2491.2017.06.007

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  1 in total

1.  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

  1 in total

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