title: Evaluation of stroke volume variation obtained by arterial pulse contour analysis to predict fluid responsiveness intraoperatively.
abstract: BACKGROUND
  Fluid management guided by oesophageal Doppler monitor has been reported to improve perioperative outcome. Stroke volume variation (SVV) is considered a reliable clinical predictor of fluid responsiveness. Consequently, the aim of the present trial was to evaluate the accuracy of SVV determined by arterial pulse contour (APCO) analysis, using the FloTrac/Vigileo system, to predict fluid responsiveness as measured by the oesophageal Doppler.
  
  
  METHODS
  Patients undergoing major abdominal surgery received intraoperative fluid management guided by oesophageal Doppler monitoring. Fluid boluses of 250 ml each were administered in case of a decrease in corrected flow time (FTc) to <350 ms. Patients were connected to a monitoring device, obtaining SVV by APCO. Haemodynamic variables were recorded before and after fluid bolus application. Fluid responsiveness was defined as an increase in stroke volume index >10%. The ability of SVV to predict fluid responsiveness was assessed by calculation of the area under the receiver operating characteristic (ROC) curve.
  
  
  RESULTS
  Twenty patients received 67 fluid boluses. Fifty-two of the 67 fluid boluses administered resulted in fluid responsiveness. SVV achieved an area under the ROC curve of 0.512 [confidence interval (CI) 0.32-0.70]. A cut-off point for fluid responsiveness was found for SVV > or =8.5% (sensitivity: 77%; specificity: 43%; positive predictive value: 84%; and negative predictive value: 33%).
  
  
  CONCLUSIONS
  This prospective, interventional observer-blinded study demonstrates that SVV obtained by APCO, using the FloTrac/Vigileo system, is not a reliable predictor of fluid responsiveness in the setting of major abdominal surgery.
authors.affiliation: Department of Anaesthesiology, General Intensive Care and Pain Control, Medical University of Vienna, Waehringerguertel 18-20, 1090 Vienna, Austria. daniel.lahner@meduniwien.ac.at
authors.forename: D
authors.initials: D
authors.lastname: Lahner
authors.forename: B
authors.initials: B
authors.lastname: Kabon
authors.forename: C
authors.initials: C
authors.lastname: Marschalek
authors.forename: A
authors.initials: A
authors.lastname: Chiari
authors.forename: G
authors.initials: G
authors.lastname: Pestel
authors.forename: A
authors.initials: A
authors.lastname: Kaider
authors.forename: E
authors.initials: E
authors.lastname: Fleischmann
authors.forename: H
authors.initials: H
authors.lastname: Hetz
mesh_terms: D000005:Abdomen / Q000601:surgery; D000328:Adult; D000368:Aged; D000465:Algorithms; D017548:Echocardiography, Transesophageal; D004812:Epidemiologic Methods; D005260:Female; D005440:Fluid Therapy / Q000379:methods; D006439:Hemodynamics; D006801:Humans; D007430:Intraoperative Care / Q000379:methods; D008297:Male; D008875:Middle Aged; D016343:Monitoring, Intraoperative / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D013318:Stroke Volume