Rationale and design of the pullback pressure gradient (PPG) global registry
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Updated: Jul 18, 2025

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
Published on: December 10, 2014
Daniel Munhoz1, Carlos Collet2, Takuya Mizukami3
1Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Insights
The pullback pressure gradient (PPG) shows promise in predicting optimal outcomes after percutaneous coronary intervention (PCI). This novel metric helps assess coronary artery disease (CAD) patterns and guides treatment decisions for better patient results.
Area of Science:
- Cardiology
- Interventional Cardiology
- Medical Imaging
Background:
- Diffuse coronary artery disease (CAD) often leads to suboptimal outcomes after percutaneous coronary intervention (PCI), including low fractional flow reserve (FFR) and persistent angina.
- Coronary pressure pullbacks are used to evaluate hemodynamic CAD patterns, but a comprehensive metric is needed to quantify pressure loss distribution.
Purpose of the Study:
- To determine the predictive capacity of the pullback pressure gradient (PPG), a novel metric, for post-PCI FFR.
- To evaluate the impact of PPG on treatment decisions and its predictive performance for angina relief and clinical outcomes.
Main Methods:
- A prospective, large-scale, multicenter study enrolling 982 patients with significant coronary lesions (distal FFR ≤ 0.80) undergoing PCI.
- Pre-PCI physiological assessment including online calculation of PPG from manual FFR pullbacks.
- Post-PCI FFR pullbacks to assess revascularization success, hypothesizing PPG predicts optimal PCI (post-PCI FFR ≥ 0.88) with an AUC ≥ 0.80.
Main Results:
- Recruitment is ongoing, with completion expected in the second half of 2023.
- The study aims to establish PPG as a predictor of optimal PCI outcomes.
Conclusions:
- The preprocedural PPG index has the potential to predict optimal revascularization assessed by post-PCI FFR.
- This study will clarify the role of PPG in guiding PCI and improving patient-reported and clinical outcomes in focal versus diffuse CAD.
Introduction:
Diffuse disease has been identified as one of the main reasons leading to low post-PCI fractional flow reserve (FFR) and residual angina after PCI. Coronary pressure pullbacks allow for the evaluation of hemodynamic coronary artery disease (CAD) patterns. The pullback pressure gradient (PPG) is a novel metric that quantifies the distribution and magnitude of pressure losses along the coronary artery in a focal-to-diffuse continuum.
Aim:
The primary objective is to determine the predictive capacity of the PPG for post-PCI FFR.
Methods:
This prospective, large-scale, controlled, investigator-initiated, multicenter study is enrolling patients with at least 1 lesion in a major epicardial vessel with a distal FFR ≤ 0.80 intended to be treated by PCI. The study will include 982 subjects. A standardized physiological assessment will be performed pre-PCI, including the online calculation of PPG from FFR pullbacks performed manually. PPG quantifies the CAD pattern by combining several parameters from the FFR pullback curve. Post-PCI physiology will be recorded using a standardized protocol with FFR pullbacks. We hypothesize that PPG will predict optimal PCI results (post-PCI FFR ≥ 0.88) with an area under the ROC curve (AUC) ≥ 0.80. Secondary objectives include patient-reported and clinical outcomes in patients with focal vs. diffuse CAD defined by the PPG. Clinical follow-up will be collected for up to 36 months, and an independent clinical event committee will adjudicate events.
Results:
Recruitment is ongoing and is expected to be completed in the second half of 2023.
Conclusion:
This international, large-scale, prospective study with pre-specified powered hypotheses will determine the ability of the preprocedural PPG index to predict optimal revascularization assessed by post-PCI FFR. In addition, it will evaluate the impact of PPG on treatment decisions and the predictive performance of PPG for angina relief and clinical outcomes.
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