Dynamic indices do not predict volume responsiveness in routine clinical practice

Lansdorp, B. and Lemson, J. and Putten van, M.J.A.M. and Keijzer de, A. and Hoeven van der, J.G. and Pickkers, P. (2012) Dynamic indices do not predict volume responsiveness in routine clinical practice. British journal of anaesthesia, 108 (3). 395 - 401. ISSN 0007-0912

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Abstract:	Background Dynamic indices, including pulse pressure, systolic pressure, and stroke volume variation (PPV, SPV, and SVV), are accurate predictors of fluid responsiveness under strict conditions, for example, controlled mechanical ventilation using conventional tidal volumes (TVs) in the absence of cardiac arrhythmias. However, in routine clinical practice, these prerequisites are not always met. We evaluated the effect of regularly used ventilator settings, different calculation methods, and the presence of cardiac arrhythmias on the ability of dynamic indices to predict fluid responsiveness in sedated, mechanically ventilated patients. Methods We prospectively evaluated 47 fluid challenges in 29 consecutive cardiac surgery patients. Patients were divided into different groups based on TV. Dynamic indices were calculated in various ways: calculation over 30 s, breath-by-breath (with and without excluding arrhythmias), and with correction for TV. Results The predictive value was optimal in the group ventilated with TVs >7 ml kg−1 with correction for TV, calculated breath-by-breath, and with exclusion of arrhythmias [area under the curve (AUC)=0.95, 0.93, and 0.90 for PPV, SPV, and SVV, respectively]. Including patients ventilated with lower TVs decreased the predictive value of all dynamic indices, while calculating dynamic indices over 30 s and not excluding cardiac arrhythmias further reduced the AUC to 0.51, 0.63, and 0.51 for PPV, SPV, and SVV, respectively. Conclusions PPV, SPV, and SVV are the only reliable predictors of fluid responsiveness under strict conditions. In routine clinical practice, factors including low TV, cardiac arrhythmias, and the calculation method can substantially reduce their predictive value
Item Type:	Article
Copyright:	© Oxford University Press
Faculty:	Science and Technology (TNW)
Research Group:	Clinical Neurophysiology (CNPH) Technical Medicine
Link to this item:	http://purl.utwente.nl/publications/82219
Official URL:	http://dx.doi.org/10.1093/bja/aer411
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