Cardiovascular

Prognostic value of Murray law-based quantitative flow ratio after percutaneous coronary intervention.

TL;DR

Post-PCI μQFR distributions were similar between treatment groups, but lower values were associated with higher 5-year adverse event risk without significant treatment interaction, and limited binary discrimination supports use as a continuous metric for post-PCI physiological risk stratification.

Key Findings

Post-PCI μQFR was successfully analysed in most of the study population, with similar distributions between randomised treatment groups.

  • This was a prespecified subgroup analysis of the FAVOR III China trial including 3,825 patients.
  • Post-PCI μQFR was successfully analysed in 4,196 vessels from 3,455 patients.
  • Vessels analysed were PCI-treated with reference diameter ≥2.5 mm and 50-90% diameter stenosis, using offline analysis.

Lower post-PCI μQFR tertiles were associated with a higher 5-year incidence of MACE.

  • 5-year MACE (death, MI, or ischaemia-driven revascularisation) was 23.1% in the low tertile vs 19.0% intermediate vs 17.2% high (p=0.001).
  • Tertile cutoffs: lowest ≤0.91, intermediate 0.92-0.95, highest >0.95.

After adjustment, the lowest μQFR tertile had significantly higher MACE risk than the highest tertile, while the intermediate tertile did not.

  • Using the highest tertile (μQFR >0.95) as reference, aHR for the intermediate tertile was 1.08 (95% CI: 0.87-1.34).
  • aHR for the lowest tertile (μQFR ≤0.91) was 1.30 (95% CI: 1.06-1.60).

A ROC-derived cutoff of post-PCI μQFR <0.94 identified patients with higher MACE rates.

  • MACE occurred in 22.3% of patients with μQFR <0.94 vs 17.4% with μQFR ≥0.94.
  • Adjusted HR was 1.23 (95% CI: 1.04-1.47; p=0.02).

No significant interaction was found between treatment strategy and post-PCI μQFR in relation to outcomes.

  • The p for interaction was 0.23.
  • The association of lower μQFR with higher risk was therefore not significantly modified by the randomised treatment strategy.

The authors conclude that limited binary discrimination supports using post-PCI μQFR as a continuous metric for risk stratification.

  • Association with outcomes was modest (aHR 1.23 for the ROC-derived binary cutoff; 1.30 for the lowest tertile).
  • This supports μQFR as a continuous measure of post-PCI physiological risk rather than a binary threshold.

What This Means

This study looked at whether a measurement of blood flow in heart arteries taken right after a stent procedure (PCI) can predict later heart problems. The measurement, called μQFR, is calculated by computer from a single angiogram image, without inserting a pressure wire. The researchers analysed 4,196 treated vessels from 3,455 patients in the FAVOR III China trial and followed them for five years. Patients whose post-procedure μQFR was lowest had more major adverse events (death, heart attack, or repeat revascularisation for ischaemia) over five years: 23.1% in the lowest group versus 17.2% in the highest. After adjusting for other factors, the lowest group had about a 30% higher relative risk. A single cutoff of 0.94 also separated higher-risk from lower-risk patients (22.3% vs 17.4%), but the separation was modest. The relationship did not differ significantly by which treatment strategy patients had been randomised to. This research suggests that μQFR after stenting may help gauge a patient's later risk, with lower values signalling higher risk. Because a single cutoff did not discriminate strongly, the authors suggest the value is better viewed as a continuous scale than a pass/fail test. This was a subgroup analysis of a trial, so it shows association rather than proving that acting on the value would improve outcomes.

Have a question about this study?

Citation

Zhang R, Xu J, Guan C, Jiang Y, Shi Y, Tu S, et al.. (2026). Prognostic value of Murray law-based quantitative flow ratio after percutaneous coronary intervention.. EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology. https://doi.org/10.4244/EIJ-D-26-00457