The clinical application of predicting the rate of variation flowing rate of femoral artery by ultrasonic measurement
10.3760/cma.j.issn.1008-6706.2016.14.031
- VernacularTitle:超声测量股动脉流速变异率预测容量反应性的临床应用
- Author:
Chaohui GAN
;
Liqun ZHANG
;
Baofeng YAO
- Publication Type:Journal Article
- Keywords:
Femoral artery velocity;
Doppler ultrasound;
Passive leg raising (PLR);
Reactive capacity
- From:
Chinese Journal of Primary Medicine and Pharmacy
2016;23(14):2197-2200
- CountryChina
- Language:Chinese
-
Abstract:
Objective Using Doppler ultrasound measured in femoral artery flow velocity variation rate method to predict fluid responsiveness.Methods 80 patients were measured femoral artery flow velocity variation rate (△Vpeak)by mastering the ultrasound skills of the attending physician.Passive leg raising test (PLR)stroke vol-ume variation (△SV)was used to analyze the peak value of the femoral artery flow velocity,rate of femoral artery peak velocity of respiratory changes,and the results were compared with results of PICCO monitoring to predict patients with their response to the treatment capacity,to evaluate clinical feasibility.Results Reactive groups in the PLR test before the experiment and hemodynamic changes:PLR test reaction group in before the test and test process, HR,MAP,CAP index changes were not obvious (P >0.05),but ultrasonic detection and PICCO detection showed SV and CO varied significantly (t =15.24,P =0.00;t =13.64,P =0.00),the two kinds of methods to forecast results was consistent.In the absence of the anti should patients in PLR test before the experiment and hemodynamic chan-ges:PLR test unreacted group in before the test and test process,HR,MAP,CAP,SV and CO index change were not obvious (all P >0.05).Conclusion By ultrasonic method for measuring femoral artery flow speed variation rate can exactly evaluate the capacity status of critically ill patients,and effectively predict fluid responsiveness,the prediction results and PICOO monitoring results are highly consistent.It is a safe and efficient prediction method,which is worthy of promotion in clinical intensive observation.
