Literature DB >> 28419280

Fractional flow reserve and pressure-bounded coronary flow reserve to predict outcomes in coronary artery disease.

Jung-Min Ahn1, Frederik M Zimmermann2, Nils P Johnson3, Eun-Seok Shin4, Bon-Kwon Koo4, Pil Hyung Lee1, Duk-Woo Park1, Soo-Jin Kang1, Seung-Whan Lee1, Young-Hak Kim1, Cheol Whan Lee1, Seong-Wook Park1, Nico H J Pijls2, Seung-Jung Park1.   

Abstract

AIMS: Fractional flow reserve (FFR) has proven to its prognostic and therapeutic value. However, the additive prognostic value of coronary flow reserve (CFR) remains unclear. This study sought to investigate the clinical utility of combined FFR and CFR measurements to predict outcomes. METHODS AND
RESULTS: Using the prospective, multicentre Interventional Cardiology Research Incooperation Society-FFR registry, a total of 2088 lesions from 1837 patients were included in this substudy. Based on baseline and hyperaemic pressure gradients, we computed physiologic limits of CFR [the so called pressure-bounded (pb) CFR] and classified lesions as low (<2) or high (≥2). The primary endpoint was major adverse cardiac events (MACE, a composite of cardiac death, myocardial infarction, and revascularization) analysed on a per-patient basis. During a median follow-up of 1.9 years (inter-quartile range: 1.0-3.0 years), MACE occurred in 5.7% of patients with FFR ≤0.80 vs. 2.8% of patients with FFR >0.80 [adjusted hazard ratio (aHR): 2.15, 95% confidence interval (CI): 1.19-3.89; P = 0.011. In contrast, the incidence of MACE did not differ between patients with pb-CFR < 2 vs. pb-CFR ≥ 2 (4.2% vs. 4.2%; aHR: 0.98, CI: 0.60 to 1.58; P = 0.92). Incorporation of FFR significantly improved model prediction of MACE (global χ2 38.8-48.1, P = 0.002). However, pb-CFR demonstrated no incremental utility to classify outcomes (global χ2 48.1-48.2, P > 0.99).
CONCLUSIONS: In this large, prospective registry of over 2000 coronary lesions, FFR was strongly associated with clinical outcomes. In contrast, a significant association between pb-CFR and clinical events could not be determined and adding knowledge of pb-CFR did not improve prognostication over FFR alone. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2017. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Coronary artery disease; Coronary flow reserve; Fractional flow reserve; Prognosis

Mesh:

Year:  2017        PMID: 28419280     DOI: 10.1093/eurheartj/ehx139

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  4 in total

1.  Influence of diabetes mellitus on the diagnostic performance of machine learning-based coronary CT angiography-derived fractional flow reserve: a multicenter study.

Authors:  Yi Xue; Min Wen Zheng; Yang Hou; Fan Zhou; Jian Hua Li; Yi Ning Wang; Chun Yu Liu; Chang Sheng Zhou; Jia Yin Zhang; Meng Meng Yu; Bo Zhang; Dai Min Zhang; Yan Yi; Lei Xu; Xiu Hua Hu; Guang Ming Lu; Chun Xiang Tang; Long Jiang Zhang
Journal:  Eur Radiol       Date:  2022-01-12       Impact factor: 5.315

2.  Pressure- and 3D-Derived Coronary Flow Reserve with Hydrostatic Pressure Correction: Comparison with Intracoronary Doppler Measurements.

Authors:  Balázs Tar; András Ágoston; Áron Üveges; Gábor Tamás Szabó; Tibor Szűk; András Komócsi; Dániel Czuriga; Benjamin Csippa; György Paál; Zsolt Kőszegi
Journal:  J Pers Med       Date:  2022-05-12

3.  The Holistic Coronary Physiology Display: Calculation of the Flow Separation Index in Vessel-Specific Individual Flow Range during Fractional Flow Reserve Measurement Using 3D Coronary Reconstruction.

Authors:  Gábor Tamás Szabó; Áron Üveges; Balázs Tar; András Ágoston; Azzaya Dorj; Csaba Jenei; Rudolf Kolozsvári; Benjamin Csippa; Dániel Czuriga; Zsolt Kőszegi
Journal:  J Clin Med       Date:  2021-04-28       Impact factor: 4.241

4.  Coronary artery disease: physiology and prognosis.

Authors:  Thomas J Ford; David Corcoran; Colin Berry
Journal:  Eur Heart J       Date:  2017-07-01       Impact factor: 29.983

  4 in total

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