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Assessing fluid status with the vascular pedicle width: relationship to IVC diameter, IVC variability and lung comets

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ROC curve for VPW discriminating fluid repletion by IVC ultrasound.
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Figure 1: ROC curve for VPW discriminating fluid repletion by IVC ultrasound.

Mentions: Eighty-four data points on 43 patients were collected. VPW correlated with IVC diameter (r = 0.64, P ≤0.001) and IVC variation (r = -0.55, P ≤0.001). No correlation was observed between VPW and number of lung comets (r = 0.12, P = 0.26) or positive fluid balance (r = 0.3, P = 0.058). On multivariate linear regression, standardized coefficients demonstrated that a 1 mm increase in IVC diameter corresponded to a 0.28 mm (Beta) increase in VPW. ROC curve analysis yielded an AUC of 0.843 (95% CI = 0.75 to 0.93), P ≤0.001 and provided the best accuracy with a cutoff VPW value of 64 mm (sensitivity 81%, specificity 78%, PPV = 88.5%, NPV = 66%, correct classification rate = 79.6%). See Figure 1.


Assessing fluid status with the vascular pedicle width: relationship to IVC diameter, IVC variability and lung comets
ROC curve for VPW discriminating fluid repletion by IVC ultrasound.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4470676&req=5

Figure 1: ROC curve for VPW discriminating fluid repletion by IVC ultrasound.
Mentions: Eighty-four data points on 43 patients were collected. VPW correlated with IVC diameter (r = 0.64, P ≤0.001) and IVC variation (r = -0.55, P ≤0.001). No correlation was observed between VPW and number of lung comets (r = 0.12, P = 0.26) or positive fluid balance (r = 0.3, P = 0.058). On multivariate linear regression, standardized coefficients demonstrated that a 1 mm increase in IVC diameter corresponded to a 0.28 mm (Beta) increase in VPW. ROC curve analysis yielded an AUC of 0.843 (95% CI = 0.75 to 0.93), P ≤0.001 and provided the best accuracy with a cutoff VPW value of 64 mm (sensitivity 81%, specificity 78%, PPV = 88.5%, NPV = 66%, correct classification rate = 79.6%). See Figure 1.

View Article: PubMed Central - HTML

No MeSH data available.