The introduction of point-of-care ultrasound (POCUS) into clinical practice has revolutionized bedside hemodynamic assessment in recent years. POCUS has expanded its utility to include evaluating and grading venous congestion through Doppler analysis of venous blood flow. This innovative technique, VExUS (venous excess ultrasound), comprehensively evaluates venous congestion across multiple sites, including the inferior vena cava (IVC), hepatic vein, portal vein, and intrarenal vasculature. The aim of the current study was to determine whether venous excess ultrasound can help guide fluid therapy in complex patients with acute kidney injury (AKI) in addition to the standard physical examination and imaging. Our current study shows instructive 18 clinical adult cases (enrolled between January 2024 and May 2024) to determine whether venous excess ultrasound can help guide fluid therapy in complex cardiac patients with acute kidney injury, in addition to the standard physical examination and imaging. VExUS was pivotal in guiding fluid therapy in all complex patients with AKI and suspected right ventricular dysfunction. By integrating VExUS findings with clinical data and cardiac ultrasound results, clinicians were able to make patient-favouring decisions regarding fluid management, diuresis, and vasopressor therapy, addressing critical aspects of conditions such as septic shock, heart failure, and acute kidney injury. In our study of VExUSin sick patients with AKI, we concluded that VExUS proved to be a valuable tool for fluid assessment and management. By providing real-time visualization of venous congestion, VExUS allowed for more precise and individualized fluid management strategies. This led to improved decision-making regarding fluid administration and removal, helping to prevent both fluid overload and hypovolemia. Consequently, the use of VExUS contributed to better clinical outcomes in patients with AKI, demonstrating its potential as a critical component in the management of fluid balance in this vulnerable patient population.
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