TY - JOUR
T1 - Impact of Pullback Pressure Gradient on Clinical Outcomes after Percutaneous Coronary Interventions
AU - Ikeda, Kazumasa
AU - Mizukami, Takuya
AU - Sakai, Koshiro
AU - Bouisset, Frederic
AU - Sonck, Jeroen
AU - Wilgenhof, Adriaan
AU - Matsuo, Hitoshi
AU - Shinke, Toshiro
AU - Ando, Hirohiko
AU - Hada, Masahiro
AU - Ko, Brian Sh
AU - Biscaglia, Simone
AU - Rivero, Fernando
AU - Engstroem, Thomas
AU - Leone, Antonio Maria
AU - van Nunen, Lokien Xavier
AU - Fearon, William F
AU - Christiansen, Evald H
AU - Fournier, Stephane
AU - Desta, Liyew
AU - Yong, Andy S
AU - Adjedj, Julien
AU - Escaned, Javier
AU - Nakayama, Masafumi
AU - Eftekhari, Ashkan
AU - Keulards, Danielle Cj
AU - Zimmermann, Frederik M
AU - Storozhenko, Tatyana
AU - Roza da Costa, Bruno
AU - Campo, Gianluca
AU - Berry, Colin
AU - Collison, Damien
AU - Johnson, Thomas William
AU - Munhoz, Daniel B
AU - Amano, Tetsuya
AU - Perera, Divaka
AU - Jeremias, Allen
AU - Ali, Ziad A
AU - Kubo, Takashi
AU - Satomi, Kazuhiro
AU - Tanaka, Nobuhiro
AU - De Bruyne, Bernard
AU - Johnson, Nils P
AU - Collet, Carlos
PY - 2025/12
Y1 - 2025/12
N2 - BACKGROUND: Impaired flow following percutaneous coronary intervention (PCI) is a known predictor of adverse outcomes. The pullback pressure gradient (PPG) is a novel physiological metric that differentiates focal from diffuse disease and enables prediction of post-PCI fractional flow reserve (FFR). This post hoc analysis of the PPG Global (NCT04789317) study aimed to evaluate the prognostic performance of a PPG model for predicting post-PCI FFR and to determine whether the predicted physiological outcome is associated with adverse events following PCI.METHODS: Prospective and multicenter study including patients with hemodynamically significant coronary artery disease undergoing PCI. A prediction model based on FFR and PPG was used to estimate post-PCI FFR. Based on the predicted values, vessels were classified as having either optimal or suboptimal post-PCI physiology. The primary end point was target vessel failure at 1 year. Target vessel failure was defined as a composite of cardiac death, target-vessel myocardial infarction, and ischemia-driven target vessel revascularization.RESULTS: A total of 855 patients (890 vessels) were analyzed. The mean difference between predicted and measured post-PCI FFR was 0.001 (limits of agreement, -0.10 to 0.10). There was a strong correlation between predicted and measured delta FFR (
r=0.92 [95% CI, 0.91-0.93];
P<0.001). Vessels with predicted suboptimal post-PCI physiology had a significantly higher incidence of target vessel failure (adjusted hazard ratio,1.97 [95% CI, 1.24-3.15];
P=0.004). Predicted suboptimal physiology was independently associated with adverse clinical outcomes.
CONCLUSIONS: PPG-predicted post-PCI physiology was associated with target vessel failure at 1 year. These findings extend the role of coronary physiology beyond diagnostic assessment to include risk stratification and outcome prediction following PCI.
AB - BACKGROUND: Impaired flow following percutaneous coronary intervention (PCI) is a known predictor of adverse outcomes. The pullback pressure gradient (PPG) is a novel physiological metric that differentiates focal from diffuse disease and enables prediction of post-PCI fractional flow reserve (FFR). This post hoc analysis of the PPG Global (NCT04789317) study aimed to evaluate the prognostic performance of a PPG model for predicting post-PCI FFR and to determine whether the predicted physiological outcome is associated with adverse events following PCI.METHODS: Prospective and multicenter study including patients with hemodynamically significant coronary artery disease undergoing PCI. A prediction model based on FFR and PPG was used to estimate post-PCI FFR. Based on the predicted values, vessels were classified as having either optimal or suboptimal post-PCI physiology. The primary end point was target vessel failure at 1 year. Target vessel failure was defined as a composite of cardiac death, target-vessel myocardial infarction, and ischemia-driven target vessel revascularization.RESULTS: A total of 855 patients (890 vessels) were analyzed. The mean difference between predicted and measured post-PCI FFR was 0.001 (limits of agreement, -0.10 to 0.10). There was a strong correlation between predicted and measured delta FFR (
r=0.92 [95% CI, 0.91-0.93];
P<0.001). Vessels with predicted suboptimal post-PCI physiology had a significantly higher incidence of target vessel failure (adjusted hazard ratio,1.97 [95% CI, 1.24-3.15];
P=0.004). Predicted suboptimal physiology was independently associated with adverse clinical outcomes.
CONCLUSIONS: PPG-predicted post-PCI physiology was associated with target vessel failure at 1 year. These findings extend the role of coronary physiology beyond diagnostic assessment to include risk stratification and outcome prediction following PCI.
KW - Humans
KW - Percutaneous Coronary Intervention/adverse effects
KW - Male
KW - Female
KW - Fractional Flow Reserve, Myocardial
KW - Aged
KW - Prospective Studies
KW - Middle Aged
KW - Treatment Outcome
KW - Coronary Artery Disease/physiopathology
KW - Predictive Value of Tests
KW - Risk Factors
KW - Time Factors
KW - Cardiac Catheterization
KW - Risk Assessment
KW - Coronary Vessels/physiopathology
KW - coronary artery disease
KW - myocardial infarction
KW - prognosis
KW - percutaneous coronary intervention
KW - fractional flow reserve, myocardial
UR - https://www.scopus.com/pages/publications/105027423036
U2 - 10.1161/CIRCINTERVENTIONS.125.016022
DO - 10.1161/CIRCINTERVENTIONS.125.016022
M3 - Journal article
C2 - 41137850
SN - 1941-7640
VL - 18
SP - e016022
JO - Circulation. Cardiovascular interventions
JF - Circulation. Cardiovascular interventions
IS - 12
ER -