Predictive value of the QFR combined with early exercise tolerance testing for long-term prognosis after coronary intervention

To evaluate the predictive value of the quantitative flow ratio (QFR) combined with early exercise tolerance testing (CPET) for long-term prognosis after coronary intervention. Patients with unstable angina (UA) and 50–90% stenosis scheduled for elective PCI were randomly assigned to the QFR group (undergoing intervention if QFR < 0.80) or the conventional group (empirical PCI). Cardio-Pulmonary Exercise Test (CPET) was performed 1–3 weeks postoperatively to record the anaerobic threshold (AT), peak metabolic equivalent (MET), peak oxygen uptake (peakVO2), VE/VCO2 slope, oxygen uptake/work rate (VO2/WR), oxygen uptake/heart rate (VO2/HR), Weber cardiac function classification, and cardiac reserve function. One-year follow-up assessed MACE events (including cardiovascular death, non-fatal arrhythmia, ischemia-driven revascularization, and rehospitalization for unstable angina). The QFR group demonstrated superiority over the conventional group in key CPET parameters including AT, peak MET, peak VO2, and VO2/HR (p < 0.05). Ischemia-driven revascularization was significantly lower in the QFR group (8.6% vs 19.5%, p = 0.046), with significantly shorter stent lengths (20 mm vs 26 mm, p = 0.001) and higher postoperative QFR values (0.92 vs 0.90). Logistic regression analysis demonstrated that improved QFR values significantly reduced MACE risk. PeakVO2 was an independent protective factor for MACE (OR = 0.47, p = 0.017). ROC curve analysis revealed that the QFR curve had an area under the curve (AUC = 0.928), peakVO2 AUC = 0.948). Optimal cutoff values were set at QFR = 0.885 and peakVO2 = 16.8 mL kg−1 min−1. Patients were reclassified into four groups based on these cutoffs: dual-normal, single-abnormal, and dual-abnormal groups. Logistic regression analysis showed combined indicator p = 0.081 < 0.05, with combined indicator AUC 0.977 indicating good calibration (HL P = 0.624, Brier 0.049). Decision curve analysis demonstrated superiority over single-indicator models. QFR-guided PCI enables precise ischemia localization, reduces implantations, and enhances exercise tolerance. Combining QFR with peakVO2 accurately identifies high-risk patients, and intensive rehabilitation improves long-term outcomes.

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Publication Details

Journal
European journal of medical research
Published
2026-05-30
DOI
https://doi.org/10.1186/s40001-026-04328-6
Primary Topic
Cardiovascular and exercise physiology
Type
article
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article

Predictive value of the QFR combined with early exercise tolerance testing for long-term prognosis after coronary intervention

Rubing Wu, Qincong Chen, Jingjie Dong, Jianming Tang et al.
European journal of medical research
Cardiovascular and exercise physiology
article

Predictive value of the QFR combined with early exercise tolerance testing for long-term prognosis after coronary intervention

Rubing Wu, Qincong Chen, Jingjie Dong, Jianming Tang, Feihu Jia, Shuo Wang, Qi Deng, Shengqiang Du, Yongfeng Zhao
article en

Abstract

To evaluate the predictive value of the quantitative flow ratio (QFR) combined with early exercise tolerance testing (CPET) for long-term prognosis after coronary intervention. Patients with unstable angina (UA) and 50–90% stenosis scheduled for elective PCI were randomly assigned to the QFR group (undergoing intervention if QFR < 0.80) or the conventional group (empirical PCI). Cardio-Pulmonary Exercise Test (CPET) was performed 1–3 weeks postoperatively to record the anaerobic threshold (AT), peak metabolic equivalent (MET), peak oxygen uptake (peakVO2), VE/VCO2 slope, oxygen uptake/work rate (VO2/WR), oxygen uptake/heart rate (VO2/HR), Weber cardiac function classification, and cardiac reserve function. One-year follow-up assessed MACE events (including cardiovascular death, non-fatal arrhythmia, ischemia-driven revascularization, and rehospitalization for unstable angina). The QFR group demonstrated superiority over the conventional group in key CPET parameters including AT, peak MET, peak VO2, and VO2/HR (p < 0.05). Ischemia-driven revascularization was significantly lower in the QFR group (8.6% vs 19.5%, p = 0.046), with significantly shorter stent lengths (20 mm vs 26 mm, p = 0.001) and higher postoperative QFR values (0.92 vs 0.90). Logistic regression analysis demonstrated that improved QFR values significantly reduced MACE risk. PeakVO2 was an independent protective factor for MACE (OR = 0.47, p = 0.017). ROC curve analysis revealed that the QFR curve had an area under the curve (AUC = 0.928), peakVO2 AUC = 0.948). Optimal cutoff values were set at QFR = 0.885 and peakVO2 = 16.8 mL kg−1 min−1. Patients were reclassified into four groups based on these cutoffs: dual-normal, single-abnormal, and dual-abnormal groups. Logistic regression analysis showed combined indicator p = 0.081 < 0.05, with combined indicator AUC 0.977 indicating good calibration (HL P = 0.624, Brier 0.049). Decision curve analysis demonstrated superiority over single-indicator models. QFR-guided PCI enables precise ischemia localization, reduces implantations, and enhances exercise tolerance. Combining QFR with peakVO2 accurately identifies high-risk patients, and intensive rehabilitation improves long-term outcomes.

European journal of medical research
BOE Technology Group (China) (CN), Beijing Hospital (CN), First Hospital of Shijiazhuang (CN)
Good health and well-being
Openalex Percentile: Top 4%
Cardiovascular and exercise physiology
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