title: Usefulness of left ventricular stroke volume variation to assess fluid responsiveness in patients with reduced cardiac function.
abstract: OBJECTIVE
  Stroke volume variation as measured by the analysis of the arterial pressure waveform enables prediction of volume responsiveness in ventilated patients with normal cardiac function. The aim of this study was to investigate the ability of monitoring stroke volume variation to predict volume responsiveness and to assess changes in preload in patients with reduced left ventricular function after cardiac surgery.
  
  
  METHODS
  Prospective study.
  
  
  METHODS
  University hospital.
  
  
  METHODS
  Fifteen mechanically ventilated patients with a left ventricular ejection fraction <0.35 (study group) and 15 patients with an ejection fraction >0.50 (control group) after coronary artery bypass grafting following admission to the intensive care unit.
  
  
  METHODS
  Volume loading with 10 mL of hetastarch 6% times body mass index. If stroke volume index increased >5%, successive volume loading was performed until no further increase in stroke volume index was reached.
  
  
  RESULTS
  Stroke volume variation, central venous pressure, pulmonary artery occlusion pressure (PAOP), and left ventricular end-diastolic area index (LVEDAI) were measured at baseline and immediately after each volume loading step. In both groups, stroke volume variation at baseline correlated significantly with changes in stroke volume index caused by volume loading (p <.01). Further, changes in stroke volume variation as a result of volume loading correlated significantly with the concomitant changes in stroke volume index in both groups (p <.01). Using receiver operating characteristic analysis, in the study group areas under the curve for stroke volume variation, PAOP, central venous pressure, and LVEDAI did not differ significantly. In the control group, the area under the curve for stroke volume variation was statistically larger than for PAOP, central venous pressure, and LVEDAI.
  
  
  CONCLUSIONS
  Continuous and real-time monitoring of stroke volume variation by pulse contour analysis can predict volume responsiveness and allows real-time assessment of the hemodynamic effect of volume expansion in patients with reduced left ventricular function after cardiac surgery.
authors.affiliation: Department of Anesthesiology, University of Munich, Grosshadern University Hospital, Germany.
authors.forename: Daniel A
authors.initials: DA
authors.lastname: Reuter
authors.forename: Andreas
authors.initials: A
authors.lastname: Kirchner
authors.forename: Thomas W
authors.initials: TW
authors.lastname: Felbinger
authors.forename: Florian C
authors.initials: FC
authors.lastname: Weis
authors.forename: Erich
authors.initials: E
authors.lastname: Kilger
authors.forename: Peter
authors.initials: P
authors.lastname: Lamm
authors.forename: Alwin E
authors.initials: AE
authors.lastname: Goetz
mesh_terms: D000368:Aged; D015992:Body Mass Index; D016022:Case-Control Studies; D002496:Central Venous Pressure; D001026:Coronary Artery Bypass / Q000009:adverse effects*; D004452:Echocardiography; D005260:Female; D005440:Fluid Therapy / Q000379:methods; D006801:Humans; D006895:Hydroxyethyl Starch Derivatives / Q000627:therapeutic use; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods* / Q000592:standards; D010952:Plasma Substitutes / Q000627:therapeutic use; D011237:Predictive Value of Tests; D011446:Prospective Studies; D011669:Pulmonary Wedge Pressure; D012372:ROC Curve; D012815:Signal Processing, Computer-Assisted; D013318:Stroke Volume; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis* / Q000209:etiology / Q000503:physiopathology; D016277:Ventricular Function, Left
chemical_list: D006895:Hydroxyethyl Starch Derivatives; D010952:Plasma Substitutes