Screening for Asymptomatic Coronary Artery Disease in Waitlisted Kidney Transplant Candidates: A Cost-Utility

Tracey Ying1, Anh Tran2, Angela C Webster3

  • 1Renal Department, Royal Prince Alfred Hospital, Camperdown, NSW.

Insights

For kidney transplant candidates, foregoing regular screening for coronary artery disease (CAD) is cost-effective and may improve survival. This finding suggests a potential shift in screening protocols for asymptomatic CAD in this population.

Area of Science:

  • Nephrology
  • Cardiology
  • Health Economics

Background:

  • Cardiovascular disease (CAD) is prevalent in kidney failure patients.
  • Clinical guidelines recommend CAD screening for kidney transplant waitlist candidates.
  • The cost-effectiveness of this screening has not been previously evaluated.

Purpose of the Study:

  • To conduct a cost-utility analysis of CAD screening in kidney transplant candidates.
  • To determine the cost-effectiveness of no further screening versus regular screening for asymptomatic CAD.
  • To identify influential variables affecting the economic evaluation.

Main Methods:

  • A modeled cost-utility analysis using a Markov microsimulation model.
  • Analysis conducted from a health system perspective over a lifetime horizon.
  • A theoretical cohort of adult Australian and New Zealand kidney transplant candidates was modeled.

Main Results:

  • No further screening yielded an incremental cost-effectiveness ratio of $11,122 per quality-adjusted life-year (QALY) gained compared to regular screening.
  • No further screening increased survival by 0.49 life-years or 0.35 QALYs.
  • Sensitivity analyses identified first-year transplantation costs and CAD prevalence as key variables; 94% of simulations were cost-effective at a $50,000/QALY threshold.

Conclusions:

  • No further screening for asymptomatic CAD after kidney transplant waitlisting is likely cost-effective.
  • This approach may improve patient survival.
  • Further precision in CAD prevalence and healthcare resource use estimates is needed to reduce uncertainty.
Abstract

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