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It is therefore useful to have reliable predictors of volume responsiveness.
As underlined by recent recommendations, dynamic criteria are better predictors of volume responsiveness than static criteria [ 14].
Both parameters performed poorly as predictors of volume responsiveness as has been previously documented in various clinical settings [ 16, 28].
The predictors of volume overload (defined as ECFV >105%% of ideal ECF as determined by bioimpedance [ 25]) were determined in stepped logistic regression analysis (Backwards LR).
Static markers of cardiac preload are poor predictors of volume responsiveness, and dynamic markers are often limited by the presence of spontaneous respirations or cardiac arrhythmias.
Dynamic indices such as PPV and SVV are accurate predictors of volume responsiveness in critically ill patients under controlled positive pressure ventilation, with an accuracy greater than that of traditional static indices of cardiac preload.
Similar(52)
The response of NICOM-stroke volume to PLR was a good predictor of volume responsiveness.
Further investigation of FTc as a non-invasive predictor of volume responsiveness is warranted.
Although PPV is a very reliable predictor of volume responsiveness, there are many limitations for its application.
In the current study, older age was the strongest predictor of volume and T2 decrease in type 1 diabetic subjects.
We found BNP to be a stronger predictor of volume overload in this setting than pre- or post-dialysis ANP.
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