Key result
VExUS score tracks systemic venous congestion and predicts congestive end-organ injury in heart failure.
Why the study?
The VExUS score is evaluated as a bedside tool for quantifying systemic venous congestion and predicting congestive end-organ injury, with variable predictive performance in heterogeneous populations.
Does the venous excess ultrasound (VExUS) score accurately quantify systemic venous congestion and predict congestive end-organ injury in heart failure and other populations?
Does the venous excess ultrasound (VExUS) score accurately quantify systemic venous congestion and predict congestive end-organ injury in heart failure and other populations?
Integrating bedside VExUS assessment with cardiac output indices can aid clinicians in quantifying venous congestion, identifying hemodynamic phenotypes, and guiding individualized targeted therapy in heart failure.
Answers are grounded in this paper and cite their sources.
May support VExUS-guided monitoring in heart failure; leaves open prospective validation before routine adoption.
This review evaluates the venous excess ultrasound (VExUS) score as a bedside tool for quantifying systemic venous congestion and predicting congestive end‐organ injury, particularly acute kidney injury (AKI). By assessing flow patterns in the hepatic, portal, and renal veins alongside inferior vena cava (IVC) size, VExUS enables serial monitoring of congestion trajectories. While highly prognostic in heart failure, its predictive performance varies in more heterogeneous populations. Ultimately, integrating VExUS with cardiac output indices may help clinicians identify specific hemodynamic phenotypes, guiding targeted, individualized therapeutic strategies.
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Colavolpe et al. (2026) conducted a review in Systemic venous congestion and heart failure. Venous excess ultrasound (VExUS) was evaluated. The venous excess ultrasound (VExUS) score enables serial monitoring of systemic venous congestion and predicts congestive end-organ injury, particularly in heart failure.
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