Relationship between vascular access flow and hemodynamically significant stenoses in arteriovenous grafts

Nikolai M Krivitski1, Swaroop Gantela

  • 1Transonic Systems, Inc., Ithaca, New York, U.S.A. nikolai.krivitski@transonic.com

Hemodialysis International. International Symposium on Home Hemodialysis
|April 22, 2009
PubMed

Insights

Vascular access flow monitoring for hemodialysis patients can be improved. A decrease of 20-30% in graft flow indicates significant stenosis, and higher thresholds may enhance surveillance accuracy for upper arm grafts.

Area of Science:

  • Nephrology
  • Vascular Surgery
  • Biomedical Engineering

Background:

  • Vascular access dysfunction is a significant cause of morbidity in hemodialysis patients.
  • National Kidney Foundation K/DOQI Guidelines recommend access flow monitoring for surveillance.
  • Established K/DOQI thresholds include an absolute 600 ml/min and a dynamic threshold of <1000 ml/min with >25% decrease over 4 months.

Purpose of the Study:

  • To evaluate the application of NKF K/DOQI access flow guidelines.
  • To assess the hemodynamic significance of stenosis based on flow criteria.
  • To optimize surveillance strategies for hemodialysis access.

Main Methods:

  • Analysis of human and animal experimental data.
  • Development and application of a mathematical model for arteriovenous graft systems.
  • Evaluation of K/DOQI thresholds against experimental and modeled data.

Main Results:

  • A decrease of 20-30% or more in graft flow generally indicates hemodynamically significant stenosis.
  • The mathematical model indicates that not all 50-60% stenoses are hemodynamically significant.
  • Increasing the dynamic K/DOQI threshold to 1200 ml/min may improve surveillance for high-flow upper arm grafts.

Conclusions:

  • Access flow monitoring is crucial for detecting hemodialysis vascular access dysfunction.
  • The K/DOQI dynamic threshold may require adjustment for specific graft types and locations.
  • Optimized surveillance thresholds can enhance the predictive value of access monitoring.
Abstract

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