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A cost-effectiveness analysis of hypertrophic cardiomyopathy sudden cardiac death risk algorithms for implantable cardioverter defibrillator decision-making.

Nathan GreenYang ChenConstantinos O'MahonyPerry M ElliottRoberto Barriales VillaLorenzo MonserratAristides AnastasakisElena BiaginiJuan Ramon GimenoGiuseppe LimongelliMenelaos PavlouRumana Omar
Published in: European heart journal. Quality of care & clinical outcomes (2023)
We present a timely new perspective on HCM ICD cost-effectiveness, using methods reflecting real-world practice. While we have shown that a 6% 5-year SCD risk cut-off provides the best cohort stratification to aid ICD decision-making, this will also be influenced by the particular values of costs and HRQL for subgroups or at a local level. The process of explicitly demonstrating the main factors which drive conclusions from such an analysis will help to inform shared decision-making in this complex area for all stakeholders concerned.
Keyphrases
  • hypertrophic cardiomyopathy
  • decision making
  • left ventricular
  • machine learning
  • healthcare
  • primary care
  • quality improvement