BACKGROUND: Mechanical ventilation causes changes in left ventricular preload leading to distinct variations in left ventricular stroke volume and systolic arterial pressure. Retrospective off-line quantification of systolic arterial pressure variations (SPV) has been validated as a sensitive method of predicting left ventricular response to volume administration. We report the real-time measurement of left ventricular stroke volume variations (SVV) by continuous arterial pulse contour analysis and compare it with off-line measurements of SPV in patients after cardiac surgery. METHODS: SVV and SPV were determined before and after volume loading with colloids in 20 mechanically ventilated patients. RESULTS: SVV and SPV decreased significantly after volume loading and were correlated (r=0.89; P<0.001). Changes in SVV and changes in SPV as a result of volume loading were also significantly correlated (r=0.85; P<0.005). Changes in SVV correlated significantly with changes in stroke volume index (SVI) (r=0.67; P<0.005) as did changes in SPV (r=0.56; P<0.05). SVV determined before volume loading correlated significantly with changes in SVI (R=0.67; P <0.005). Using receiver operating characteristics curves, the area under the curve was statistically greater for SVV (0.824; 95% confidence interval: [CI] 0.64-1.0) and SPV (0.81; CI: 0.62-1.0) than for central venous pressure (0.451; CI: 0.17-0.74). CONCLUSIONS: Monitoring of SVV enables real-time prediction and monitoring of the left ventricular response to preload enhancement in patients after cardiac surgery and is helpful for guiding volume therapy.
BACKGROUND: Mechanical ventilation causes changes in left ventricular preload leading to distinct variations in left ventricular stroke volume and systolic arterial pressure. Retrospective off-line quantification of systolic arterial pressure variations (SPV) has been validated as a sensitive method of predicting left ventricular response to volume administration. We report the real-time measurement of left ventricular stroke volume variations (SVV) by continuous arterial pulse contour analysis and compare it with off-line measurements of SPV in patients after cardiac surgery. METHODS: SVV and SPV were determined before and after volume loading with colloids in 20 mechanically ventilated patients. RESULTS: SVV and SPV decreased significantly after volume loading and were correlated (r=0.89; P<0.001). Changes in SVV and changes in SPV as a result of volume loading were also significantly correlated (r=0.85; P<0.005). Changes in SVV correlated significantly with changes in stroke volume index (SVI) (r=0.67; P<0.005) as did changes in SPV (r=0.56; P<0.05). SVV determined before volume loading correlated significantly with changes in SVI (R=0.67; P <0.005). Using receiver operating characteristics curves, the area under the curve was statistically greater for SVV (0.824; 95% confidence interval: [CI] 0.64-1.0) and SPV (0.81; CI: 0.62-1.0) than for central venous pressure (0.451; CI: 0.17-0.74). CONCLUSIONS: Monitoring of SVV enables real-time prediction and monitoring of the left ventricular response to preload enhancement in patients after cardiac surgery and is helpful for guiding volume therapy.
Authors: Daniel A Reuter; Julian Bayerlein; Matthias S G Goepfert; Florian C Weis; Erich Kilger; Peter Lamm; Alwin E Goetz Journal: Intensive Care Med Date: 2003-02-11 Impact factor: 17.440
Authors: Jan Benes; Ivan Chytra; Pavel Altmann; Marek Hluchy; Eduard Kasal; Roman Svitak; Richard Pradl; Martin Stepan Journal: Crit Care Date: 2010-06-16 Impact factor: 9.097
Authors: Massimo Antonelli; Mitchell Levy; Peter J D Andrews; Jean Chastre; Leonard D Hudson; Constantine Manthous; G Umberto Meduri; Rui P Moreno; Christian Putensen; Thomas Stewart; Antoni Torres Journal: Intensive Care Med Date: 2007-04 Impact factor: 17.440