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Intravenous (IV) infusion is often utilized when continuous and controlled drug delivery is necessary, such as during surgery or in the treatment of chronic diseases. This method offers numerous advantages, including immediate drug action, precise control over dosage, and bypassing the first-pass metabolism.
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Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
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Predictors to Intravenous Fluid Responsiveness.

Jorge Iván Alvarado Sánchez1,2, William Fernando Amaya Zúñiga3, Manuel Ignacio Monge García4

  • 11 Department of Physiology, Universidad Nacional De Colombia, Bogota, Colombia.

Journal of Intensive Care Medicine
|May 17, 2017
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Summary
This summary is machine-generated.

Dynamic indicators can predict fluid responsiveness in surgical patients. Dynamic arterial elastance may also predict increases in mean arterial pressure, improving perfusion during hypotension.

Keywords:
cardiac outputcritical carefluid therapyhemodynamic monitoringpulse pressure

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Area of Science:

  • Cardiology
  • Critical Care Medicine
  • Anesthesiology

Background:

  • Intravenous fluid therapy can improve cardiac output in surgical patients.
  • Static preload indicators (e.g., central venous pressure) lack a reliable relationship with fluid-induced cardiac output changes.
  • Dynamic indicators (e.g., pulse pressure variation) show a better correlation with fluid responsiveness.

Purpose of the Study:

  • To evaluate the utility of dynamic arterial elastance in predicting changes in both cardiac output and mean arterial pressure following fluid administration.
  • To determine if dynamic arterial elastance can identify patients who will benefit from fluid therapy in terms of perfusion pressure.

Main Methods:

  • Assessment of fluid responsiveness using dynamic indicators.
  • Measurement of cardiac output and mean arterial pressure before and after fluid administration.
  • Calculation and analysis of dynamic arterial elastance.

Main Results:

  • Dynamic indicators, unlike static ones, demonstrate a suitable relationship with fluid-induced cardiac output changes.
  • Dynamic arterial elastance shows potential in predicting not only cardiac output but also mean arterial pressure improvements.
  • This functional assessment aids in identifying patients likely to experience enhanced perfusion pressure with fluid therapy.

Conclusions:

  • Dynamic indicators are superior to static preload indicators for guiding fluid therapy in surgical patients.
  • Dynamic arterial elastance offers a promising method for assessing arterial load and predicting hemodynamic responses to fluid administration.
  • This approach may optimize fluid management strategies to improve both cardiac output and mean arterial pressure, ensuring adequate tissue perfusion.