{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:26:38Z","timestamp":1761060398463,"version":"3.37.3"},"reference-count":39,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2017,8,2]],"date-time":"2017-08-02T00:00:00Z","timestamp":1501632000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cathet Cardio Intervent"],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:sec><jats:title>Aim<\/jats:title><jats:p>Fractional flow reserve (FFR) allows for physiological definition of coronary lesion severity but requires induction of maximal coronary circulation hyperemia with administration of adenosine leading to coronary resistive vessel vasodilatation. However, the hyperemic response to adenosine, and therefore the calculation of FFR, may be affected by dysfunction of the coronary microvasculature. The aim was to define the relationship between basal <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> and FFR and identify lesion\u2010independent predictors of the change in <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> with hyperemia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods and Results<\/jats:title><jats:p>One hundred and sixty\u2010six consecutive patients undergoing FFR measurement were prospectively enrolled (mean age 62.6\u2009\u00b1\u200910.3 years, 27% females). Basal <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub>, FFR, and delta <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> (difference between basal <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> and FFR) were recorded. Independent predictors of delta <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> included angiographic lesion severity, lesion length, gender, body mass index, and total cholesterol:HDL cholesterol ratio. The best basal <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> cutoff value to predict lesion physiological significance was 0.87 (positive predictive value of 100% for an FFR value \u22640.80) and the best cutoff for nonsignificance was 0.93 (negative predictive value of 98% for an FFR value &gt;0.80).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The delta <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> may be affected by patient gender, body mass index, and cholesterol profile. A basal <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> value of \u22650.93 is highly predictive of an FFR &gt;0.80. Conversely, a basal <jats:italic>P<\/jats:italic><jats:sub>d<\/jats:sub>\/<jats:italic>P<\/jats:italic><jats:sub>a<\/jats:sub> value of \u22640.87 is highly predictive of an FFR \u22640.80. \u00a9 2017 Wiley Periodicals, Inc.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ccd.27027","type":"journal-article","created":{"date-parts":[[2017,8,2]],"date-time":"2017-08-02T09:39:04Z","timestamp":1501666744000},"page":"745-753","source":"Crossref","is-referenced-by-count":4,"title":["The relationship between the basal coronary translesional pressure ratio and fractional flow reserve"],"prefix":"10.1002","volume":"90","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2240-130X","authenticated-orcid":false,"given":"William M.","family":"Wilson","sequence":"first","affiliation":[{"name":"Royal Melbourne Hospital Parkville Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anoop S. 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