Coronary Physiology Metrics for Fractional Flow Reserve Assessment
by Nils P. Johnson·Updated 6y ago
Available on 1 platform
Sign in to view source links and access this dataset
Description
Encompassing paired, repeated measurements of coronary physiology metrics from 763 subjects enrolled from 12 international centers. It compares the diagnostic performance of contrast-based FFR (cFFR), resting distal pressure/aortic pressure (Pd/Pa), and the instantaneous wave-free ratio (iFR) against adenosine-derived fractional flow reserve (FFR).
Use Cases
Compare the diagnostic accuracy of cFFR, Pd/Pa, and iFR against the FFR reference standard using paired measurements.
Analyze the variability (SD) of repeated measurements for cFFR versus resting indexes like Pd/Pa and iFR.
Identify the optimal binary threshold (e.g., 0.83 for cFFR) for predicting FFR ≤0.8 across different metrics.
Model a hybrid decision-making strategy to reduce adenosine use based on cFFR, Pd/Pa, or iFR values.
Strengths
Data from 763 subjects provides a substantial clinical sample size.
Paired, repeated measurements of all physiology metrics (Pd/Pa, iFR, cFFR, FFR) allow for direct comparison.
Multicenter data from 12 international centers may enhance generalizability.
Limitations
Specific column names, sample data, and file formats are unknown, limiting immediate analytical utility.
The dataset's structure and granularity (e.g., patient-level vs. measurement-level rows) are not specified.
Contrast medium and adenosine doses varied per local practice, introducing potential heterogeneity.
Provenance
Source
Dryad digital repository.
Collection Method
Patients were recruited undergoing routine FFR assessment; paired measurements were made, and a central core lab analyzed blinded pressure tracings.
Freshness
Last updated in June 2020.
Geography
Data collected from 12 international centers.
License is CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. The specific data schema and file formats are not provided in the input.