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Prognostic Implication of Computational Angiography-Derived Fractional Flow Reserve in Patients With Nonobstructive
Yik-Ming Hung1,2, Hao-Chen Xuan1,2, Qing-Wen Ren1,2
1Division of Cardiology, Department of Medicine The University of Hong Kong-Shen Zhen Hospital Shen Zhen China.
Insights
Computational angiography-derived fractional flow reserve (caFFR) using multiple-vessel and 3-vessel analysis improves risk stratification for patients with nonobstructive coronary artery disease, predicting major adverse cardiac events over 5 years.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Computational Fluid Dynamics
Background:
- Risk stratification for symptomatic nonobstructive coronary artery disease (CAD) is challenging.
- Current methods lack definitive prognostic value.
- Assessing computational angiography-derived fractional flow reserve (caFFR) offers a potential solution.
Purpose of the Study:
- To evaluate the clinical utility of single-vessel, multivessel, and 3-vessel caFFR measurements.
- To determine the prognostic value of caFFR in patients with nonobstructive CAD.
- To identify optimal caFFR analysis for predicting major adverse cardiac events (MACE).
Main Methods:
- Enrolled patients with ≤50% stenosis and caFFR ≥0.8 in all 3 coronary arteries.
- Calculated the sum of caFFR values across 3 vessels for each patient.
- Stratified patients based on single-vessel, multivessel (2-3 vessels), and 3-vessel caFFR analyses using median values.
- Assessed 5-year MACE (cardiac death, myocardial infarction, ischemia-driven revascularization).
Main Results:
- Single-vessel caFFR analysis showed no significant difference in 5-year MACE rates between low- and high-caFFR groups.
- Multivessel caFFR analysis revealed increased 5-year MACE risk in patients with low caFFR in 2-3 vessels (HR, 2.648; P=0.023).
- 3-vessel caFFR analysis indicated a greater 5-year MACE risk in the low 3-vessel caFFR group (HR, 2.43; P=0.031).
Conclusions:
- Multivessel caFFR measurements are valuable for risk assessment in nonobstructive CAD.
- 3-vessel caFFR measurements provide significant prognostic information.
- caFFR analysis, particularly involving multiple vessels, enhances risk stratification for patients with nonobstructive coronary artery disease.
Background:
Risk stratification of patients with symptomatic nonobstructive coronary artery disease remains uncertain. Our study assessed the clinical value of single-vessel, multivessel, and 3-vessel computational angiography-derived fractional flow reserve (caFFR) measurement in patients with nonobstructive coronary artery disease.
Methods And Results:
We enrolled patients with ≤50% stenosis with a caFFR value ≥0.8 in all 3 coronary arteries on coronary angiography. The sum of caFFR values in the 3 vessels was computed for each patient. Patient stratification was based on the median value of the following criteria: single-vessel analysis, multivessel analysis, and 3-vessel analysis. The primary end point of this study was major adverse cardiac events at 5 years, defined as a composite of cardiac death, myocardial infarction, and ischemia-driven revascularization. A total of 490 patients were included. The 5-year major adverse cardiac event rates in single-vessel analysis were statistically insignificant between low- and high-caFFR groups (left anterior descending artery [P=0.163]; left circumflex artery [P=0.797]; right coronary artery [P=0.127]). In multivessel analysis, patients in the multiple-vessel low-caFFR group (with 2-3 vessels lower than median value of all coronary arteries) showed an increased risk of 5-year major adverse cardiac events compared with patients in the single-vessel low-caFFR group (0-1 vessel) (hazard ratio [HR], 2.648 [95% CI, 1.141-6.145]; P=0.023). In 3-vessel analysis, patients in the low 3-vessel caFFR group demonstrated a greater 5-year major adverse cardiac event risk than the high 3-vessel caFFR group (HR, 2.43 [95% CI, 1.087-5.433]; P=0.031).
Conclusions:
We demonstrated that both multiple-vessel and 3-vessel caFFR measurements serve as valuable prognostic indicators for risk assessment in patients with nonobstructive coronary artery disease.
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