Literature DB >> 11273937

Stroke volume variation as a predictor of fluid responsiveness in patients undergoing brain surgery.

H Berkenstadt1, N Margalit, M Hadani, Z Friedman, E Segal, Y Villa, A Perel.   

Abstract

UNLABELLED: Changes in arterial blood pressure induced by mechanical ventilation allow assessment of cardiac preload. In this study, stroke volume variation (SVV), which is the percentage change between the maximal and minimal stroke volumes (SV) divided by the average of the minimum and maximum over a floating period of 30 s, continuously displayed by the PiCCO continuous cardiac output monitor, was evaluated as a predictor of fluid responsiveness. Fifteen patients undergoing brain surgery were included. During surgery, graded volume loading was performed with each volume loading step (VLS) consisting of 100 mL of 6% hydroxyethylstarch given for 2 min. Successive responsive VLSs were performed (increase in SV > 5% after a VLS) until a change in SV of < 5 % was reached (nonresponsive). A total of 140 VLSs were performed. Responsive and nonresponsive VLSs differed in their pre-VLS values of systolic blood pressure, SV, and SVV, but not in the values of heart rate and central venous pressure. By using receiver operating characteristic analysis, the area under the curve for SVV (0.870, 95% confidence interval [CI]: 0.809 to 0.903) was statistically more than those for central venous pressure (0.493, 95% CI: 0.397 to 0.590, P = 7 x 10(-10)), heart rate (0.593, 95% CI: 0.443 to 0.635, P = 5.7 x 10(-10)), and systolic blood pressure (0.729, 95% CI: 0.645 to 0.813, P: = 4.3 x 10(-3)). An SVV value of 9.5% or more, will predict an increase in the SV of at least 5% in response to a 100-mL volume load, with a sensitivity of 79% and a specificity of 93%. IMPLICATIONS: Stroke volume variation may be used as a continuous preload variable and in combination with the continuously measured cardiac output, defining on-line the most important characteristics of cardiac function, allowing for optimal fluid management.

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Year:  2001        PMID: 11273937     DOI: 10.1097/00000539-200104000-00034

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  72 in total

1.  Comparison between cardiac output measured by the pulmonary arterial thermodilution technique and that measured by the femoral arterial thermodilution technique in a pediatric animal model.

Authors:  M Rupérez; J López-Herce; C García; C Sánchez; E García; D Vigil
Journal:  Pediatr Cardiol       Date:  2003-12-23       Impact factor: 1.655

2.  Monitoring of respiratory variations of aortic blood flow velocity using esophageal Doppler.

Authors:  Michel Slama; Henri Masson; Jean-Louis Teboul; Marie-Luce Arnould; Rachida Nait-Kaoudjt; Bouchra Colas; Marcel Peltier; Christophe Tribouilloy; Dinko Susic; Edward Frohlich; Michel Andréjak
Journal:  Intensive Care Med       Date:  2004-03-05       Impact factor: 17.440

3.  Pulse oximeter plethysmograph variation and its relationship to the arterial waveform in mechanically ventilated children.

Authors:  J R Chandler; E Cooke; C Petersen; W Karlen; N Froese; J Lim; J M Ansermino
Journal:  J Clin Monit Comput       Date:  2012-03-10       Impact factor: 2.502

Review 4.  Accuracy of plethysmographic indices as predictors of fluid responsiveness in mechanically ventilated adults: a systematic review and meta-analysis.

Authors:  Claudio Sandroni; Fabio Cavallaro; Cristina Marano; Chiara Falcone; Paolo De Santis; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2012-06-26       Impact factor: 17.440

5.  The effects of vasoactive drugs on pulse pressure and stroke volume variation in postoperative ventilated patients.

Authors:  Mehrnaz Hadian; Donald A Severyn; Michael R Pinsky
Journal:  J Crit Care       Date:  2010-10-30       Impact factor: 3.425

6.  Correlation between cardiac output measured by the femoral arterial thermodilution technique pulmonary arterial and that measured by contour pulse analysis in a paediatric animal model.

Authors:  Jesús López-Herce; Marta Rupérez; César Sánchez; Cristina García; Elena García
Journal:  J Clin Monit Comput       Date:  2006-02-28       Impact factor: 2.502

7.  Evaluation of mean systemic filling pressure from pulse contour cardiac output and central venous pressure.

Authors:  Jacinta J Maas; Bart F Geerts; Jos R C Jansen
Journal:  J Clin Monit Comput       Date:  2011-08-10       Impact factor: 2.502

8.  Pulse pressure variations to predict fluid responsiveness: influence of tidal volume.

Authors:  Daniel De Backer; Sarah Heenen; Michael Piagnerelli; Marc Koch; Jean-Louis Vincent
Journal:  Intensive Care Med       Date:  2005-03-08       Impact factor: 17.440

9.  Influence of tidal volume on left ventricular stroke volume variation measured by pulse contour analysis in mechanically ventilated patients.

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

Review 10.  Systematic review including re-analyses of 1148 individual data sets of central venous pressure as a predictor of fluid responsiveness.

Authors:  T G Eskesen; M Wetterslev; A Perner
Journal:  Intensive Care Med       Date:  2015-12-09       Impact factor: 17.440

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