Prognostic significance of thermodilution-derived coronary flow capacity in patients with deferred revascularisation

Masahiro Hoshino1, Yoshihisa Kanaji, Rikuta Hamaya

  • 1Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan.

Insights

Thermodilution-derived coronary flow capacity (T-CFC) effectively predicts adverse outcomes in stable coronary artery disease patients. This measurement improves risk stratification beyond traditional models, aiding clinical decisions for deferred revascularisation.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Diagnostic Imaging

Background:

  • Stable coronary artery disease (CAD) management involves assessing ischaemia risk.
  • Deferred revascularisation decisions require accurate prognostic tools.
  • Current risk stratification methods may not fully capture prognostic information.

Purpose of the Study:

  • To evaluate the prognostic value of thermodilution-derived coronary flow capacity (T-CFC) in patients with stable CAD.
  • To determine if T-CFC improves risk prediction for adverse cardiac events in patients undergoing deferred revascularisation.

Main Methods:

  • 308 lesions in 308 patients with stable CAD and deferred revascularisation were analyzed.
  • Patients were stratified based on T-CFC measurements (ischaemic vs. non-ischaemic).
  • Clinical outcomes (vessel-oriented composite endpoints - VOCE, major adverse cardiac events - MACE) were assessed.

Main Results:

  • Ischaemic T-CFC was identified in 28.6% of lesions.
  • Lesions with ischaemic T-CFC showed significantly higher risks of VOCE and MACE.
  • T-CFC significantly improved risk prediction models, outperforming fractional flow reserve and coronary flow reserve in certain contexts.

Conclusions:

  • Thermodilution-derived coronary flow capacity (T-CFC) offers significant prognostic value.
  • T-CFC enhances risk stratification for adverse events in stable CAD patients with deferred revascularisation.
  • This measurement provides incremental predictive ability beyond clinical factors and other physiological indices.
Abstract

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