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Updated: May 5, 2026

Evaluation of a Novel Laser-assisted Coronary Anastomotic Connector - the Trinity Clip - in a Porcine Off-pump Bypass Model
Published on: November 24, 2014
CCTA-derived trans-lesion fractional flow reserve gradient for predicting cardiovascular events after PCI: a
Ying Wang1,2, Kui Sun3, Zihan Gao4
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan, 250021, China.
Objective:
This study aimed to evaluate the predictive value of pre-interventional coronary CT angiography-derived fractional flow reserve (FFRCT) in chronic coronary syndrome (CCS) patients after percutaneous coronary intervention (PCI). Additionally, we investigated revascularization completeness using distal FFRCT (dFFRCT) and trans-lesion FFRCT gradient (ΔFFRCT).
Method:
This prospective observational study included 475 patients who underwent CCTA within 90 days before PCI, among whom 97 patients experienced major adverse cardiovascular events (MACEs). Patients were stratified based on dFFRCT ≤ 0.80 and ΔFFRCT ≥ 0.22. Completeness of revascularization was assessed by integrating dFFRCT and ΔFFRCT. MACE was defined as a composite of cardiovascular death, spontaneous myocardial infarction, and target vessel revascularization. Kaplan-Meier curves were used to describe the cumulative incidence of MACEs.
Results:
Both dFFRCT (HRadjust: 0.006, 95%CI: 0.001-0.057; P < 0.001) and ΔFFRCT (HRadjust: 34.894, 95%CI: 5.323-228.722, P < 0.001) were independently associated with MACEs. The cumulative incidence of MACEs differed significantly between groups stratified by dFFRCT (45.3% vs. 20.8%; P = 0.014) and ΔFFRCT (52.1% vs. 27.4%; P < 0.001). Vessels with dFFRCT ≤ 0.80 and ΔFFRCT ≥ 0.22 exhibited a significantly higher risk of MACE than vessels with dFFRCT ≤ 0.80 and ΔFFRCT < 0.22 or dFFRCT > 0.80 (Log-rank: P < 0.001). The incomplete revascularization group, as assessed by both dFFRCT and ΔFFRCT, showed the highest risk of MACE (Log-rank: P < 0.001).
Conclusion:
ΔFFRCT effectively predicts MACEs in CCS patients after PCI. Integrating clinical features and hemodynamic characteristics enhances predictive accuracy. Additionally, ΔFFRCT aids in evaluating the completeness of revascularization.
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