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Ultrafiltration Tolerance: A Phenotype That We Need to Recognize.

Gonzalo Ramírez-Guerrero1,2,3, Claudio Ronco1,4,5

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Summary

Managing fluid overload in critical care patients is vital. Extracorporeal fluid removal, or net ultrafiltration (UFNET), requires careful timing and assessment to avoid complications and ensure patient tolerance during kidney replacement therapy.

Keywords:
Fluid overloadFluid toleranceUltrafiltration

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Area of Science:

  • Nephrology
  • Critical Care Medicine
  • Cardiovascular Physiology

Background:

  • Fluid balance management is critical in intensive care unit (ICU) patients undergoing renal replacement therapies.
  • Cumulative fluid overload independently increases morbidity and mortality across various clinical scenarios.

Purpose of the Study:

  • To explore strategies for managing fluid overload refractory to diuretics using extracorporeal fluid removal.
  • To address the challenges of net ultrafiltration (UFNET) and intradialytic hypotension.
  • To emphasize the importance of individualized assessment and predicting optimal timing for ultrafiltration initiation based on fluid tolerance.

Main Methods:

  • Review of extracorporeal fluid removal techniques in critical care.
  • Analysis of complications associated with non-individualized UFNET, including cardiovascular events and hypotension.
  • Conceptualization of 'fluid tolerance' to guide ultrafiltration timing.

Main Results:

  • Net ultrafiltration (UFNET) is a key strategy for refractory fluid overload during kidney replacement therapy.
  • Inadequate UFNET assessment can lead to cardiovascular events and intradialytic hypotension, impairing organ perfusion.
  • Predicting optimal UFNET timing and patient tolerance is crucial for safe and effective fluid management.

Conclusions:

  • UFNET is a dynamic process with varying patient tolerance.
  • Nephrologists must actively manage UFNET to navigate periods of tolerance and intolerance.
  • Individualized assessment and prediction of fluid tolerance are essential for optimizing UFNET in critical care.