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See related research by Hoff et al.,, and see related letter by Dane, In a recent study on nurses' ability to predict volume status after subarachnoid haemorrhage, we found very low predictive values [ 1].
A molecular-thermodynamic model is presented to predict volume change transitions in temperature-sensitive polymer gels.
Fig. 3 Receiver-operating characteristic (ROC) curves showing the diagnostic ability of volume expansion and PLR-induced changes in PtcO2 to predict volume responsiveness.
Conclusions The sum of the absolute values of changes in SV recorded during consecutive end-expiratory and end-inspiratory occlusions reliably predict volume responsiveness.
Objectives: To test the hypothesis that changes in carotid artery flow time (corrected flow time, FTc) induced by PLR can predict volume responsiveness in MV patients.
Conclusion The sum of the absolute values of changes in VTI recorded during consecutive end-expiratory and end-inspiratory occlusions could reliably predict volume responsiveness.
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Figure 9 Residuals of volume plotted against predicted volume (RMSE = 14.91, Mean =0.91).
The predicted harvest volume of each patch was derived from the sum of predicted volume losses (i.e. predicted pre-harvest volume minus predicted post-harvest volume) from each of the patch's constituent pixels.
R2 value representing the correlation between the experimental and the predicted volume fractions was 0.9976.
Passive leg raising (PLR) is a routinely applied bedside method that also predicts volume responsiveness [5 7].
The predicted volume fraction and size are in reasonable agreement with extraction experiments for M7C3.
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CEO of Professional Science Editing for Scientists @ prosciediting.com