Prognostic value of CT-derived fractional flow reserve for major adverse cardiovascular events in patients with suspected or known coronary artery disease: a systematic review and meta-analysis
Clinical Snapshot
PICO Framework
| P — Population | Patients with suspected or known coronary artery disease undergoing FFR-CT assessment |
| I — Intervention | FFR-CT ≤0.80 (abnormal) |
| C — Comparator | FFR-CT >0.80 (normal) |
| O — Outcomes | Major adverse cardiovascular events (MACE), including death, myocardial infarction, and other cardiovascular endpoints |
Bottom Line
This comprehensive meta-analysis of 20,067 patients demonstrates that abnormal FFR-CT (≤0.80) is associated with nearly four-fold increased risk of major adverse cardiovascular events compared to normal FFR-CT. The finding is particularly robust for hard endpoints (death/myocardial infarction) where heterogeneity was zero, suggesting reliable prognostic value across different populations and technologies. While substantial heterogeneity exists for composite MACE outcomes and possible publication bias was identified, the consistent effect across FFR-CT technologies (HeartFlow, machine learning, deep learning algorithms) supports the clinical utility of this non-invasive assessment tool. The moderate GRADE certainty evidence addresses current guideline gaps regarding FFR-CT prognostic utility and supports its role in risk stratification for patients with coronary artery disease, potentially informing decisions about medical therapy intensification and invasive management.
Key Findings
P Value: p<0.0001
Effect Size: HR 3.94 for FFR-CT ≤0.80 vs >0.80
Primary Outcome: Major adverse cardiovascular events (MACE)
Nnt Or Sensitivity: Hard endpoints (death/MI): HR 3.28 (95% CI 2.25-4.79) with I²=0%
Confidence Interval: 95% CI 2.92 to 5.31
Clinical Application
FFR-CT is increasingly available in tertiary centres with appropriate CT technology and expertise Relevant to Australian cardiology practice where FFR-CT is emerging as alternative to invasive FFR. May inform risk stratification decisions and guide referral patterns to interventional cardiology services Patients with suspected or known coronary artery disease undergoing non-invasive cardiac assessment
Abstract
BACKGROUND: Fractional flow reserve derived from CT (FFR-CT) enables non-invasive functional assessment of coronary stenoses in patients with suspected or known coronary artery disease, but evidence regarding its prognostic value remains fragmented. We conducted a systematic review and meta-analysis to quantify the association between abnormal FFR-CT and major adverse cardiovascular events (MACE), updating the 2022 meta-analysis by Nørgaard et al METHODS: We searched PubMed, Embase and Scopus through December 2025 for studies comparing outcomes in patients with suspected or known coronary artery disease with FFR-CT ≤0.80 versus >0.80 (PROSPERO: CRD420261276897). Random-effects meta-analysis with Hartung-Knapp-Sidik-Jonkman adjustment was performed. Subgroup analyses examined FFR-CT technology, geography and follow-up duration. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool and certainty of evidence using Grading of Recommendations, Assessment, Development and Evaluations (GRADE) method. RESULTS: Twenty-two studies with 20 067 patients were included, representing a fourfold increase from the prior meta-analysis. Follow-up ranged from 12 to 120 months. Patients with FFR-CT ≤0.80 had significantly higher MACE risk (HR 3.94; 95% CI 2.92 to 5.31; p<0.0001) with substantial heterogeneity (I²=79.9%). However, restricting to hard endpoints (death/myocardial infarction; k=6) yielded HR 3.28 (95% CI 2.25 to 4.79) with zero heterogeneity (I²=0%). No significant differences emerged across FFR-CT technologies (p=0.812), including HeartFlow, machine learning and deep learning algorithms. Trim-and-fill analysis suggested possible publication bias, with adjusted HR 2.35. GRADE certainty was moderate. CONCLUSIONS: Abnormal FFR-CT is associated with nearly fourfold increased risk of MACE in patients with suspected or known coronary artery disease, with consistent prognostic value across technologies. The absence of heterogeneity for hard endpoints supports FFR-CT as a reliable prognostic marker. These findings address the evidence gap identified by current guidelines regarding FFR-CT prognostic utility. PROSPERO REGISTRATION NUMBER: CRD420261276897. CLINICAL TRIAL NUMBER: Not applicable (as this is a Systematic Review and Meta-Analysis and not a Clinical Trial).
References
- 1.Biswas, S., Srivastava, Y., & Hamadttu, A. (2026). Prognostic value of CT-derived fractional flow reserve for major adverse cardiovascular events in patients with suspected or known coronary artery disease: a systematic review and meta-analysis. Open Heart, 13(1), e003979. https://doi.org/10.1136/openhrt-2026-003979
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