Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

An Evaluation of a Physiology-guided PCI Optimisation Strategy

NHS National Waiting Times Centre Board · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
Open Source ↗
coronary-artery-diseasena
There has recently been renewed interest in the measurement of post percutaneous coronary intervention (PCI) Fractional Flow Reserve (FFR). Previous studies have suggested that post-PCI FFR values ≥0.90 are associated with better clinical outcomes for patients but the available data suggest that despite angiographically satisfactory results, this is actually achieved in less than 40% of cases. The main mechanisms for sub-optimal post-PCI FFR measurements have been proposed to be suboptimal stent deployment, unmasking of a second lesion in the target vessel post PCI, residual diffuse disease in the untreated segments and pressure drift (a technical artefact of pressure wire technology). Using post-PCI FFR to guide stent optimisation and/or further intervention in the target vessel has been shown to increase the frequency of achieving optimal post-PCI FFR results (and therefore presumably better clinical outcomes). However, there are additional costs involved in the routine use of post-PCI FFR and it is not clear just how often it is even possible to increase the initial post-PCI FFR to ≥0.90. This uncertainty means that it is currently difficult to either recommend the routine use of post-PCI FFR or justify its cost. The investigators propose a prospective study to assess the feasibility of achieving post-PCI FFR ≥0.90 during standard PCI procedures in consecutive patients. The study would also attempt to elucidate the mechanisms for sub-optimal FFR results when they occur. The investigators anticipate using the data from this developmental study to support a subsequent funding application for a definitive phase 3 study of the impact of FFR targeted PCI on clinical outcomes.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1073631
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive