Skip to main content
Log in

Predictive value of coronary artery computed tomography-derived fractional flow reserve for cardiovascular events in patients with coronary artery disease

Prädiktiver Wert der mittels Koronararterien-Computertomographie abgeleiteten fraktionellen Flussreserve für kardiovaskuläre Ereignisse bei Patienten mit koronarer Herzkrankheit

  • Original articles
  • Published:
Herz Aims and scope Submit manuscript

Abstract

Background

Coronary computed tomography-derived fractional flow reserve (FFR-CT) assesses whether coronary artery lesions will result in myocardial ischemia. This study aimed to evaluate the predictive value of FFR-CT for cardiovascular events in patients with coronary artery disease (CAD).

Methods

Data were collected retrospectively from patients with CAD who underwent FFR-CT at our hospital from January 2020 to February 2022 (1-year average follow-up). Patients were divided into ischemic (FFR-CT ≤ 0.80) and non-ischemic (FFR-CT > 0.80) groups. The incidence of endpoint events (cardiac death, acute myocardial infarction, unplanned revascularization, unstable angina, and stable angina) was calculated. The FFR-CT value was correlated with endpoint events using Cox regression models and Kaplan–Meier survival curves.

Results

We recruited 134 patients (93 [69.4%] and 41 [30.6%] patients in the ischemic and non-ischemic groups, respectively). The ischemic group had a higher proportion of men, patients with type 2 diabetes and hypertension, and patients taking antiplatelet drugs and β‑blockers than did the non-ischemic group (all p < 0.05), whereas other parameters were comparable. Multivariate Cox regression analysis revealed no significant differences in cardiac death, acute myocardial infarction, unplanned revascularization, and unstable angina between the groups. The incidence of stable angina events (hazard ratio: 3.092, 95% confidence interval: 1.362–7.022, p = 0.007) was significantly higher in the ischemic group. Kaplan–Meier survival analysis revealed a significant difference in event-free survival for stable angina between the groups (p = 0.002).

Conclusion

In patients with CAD, FFR-CT showed an independent predictive value for stable angina within 1 year of examination.

Zusammenfassung

Hintergrund

Mit der durch koronare Computertomographie bestimmten fraktionellen Flussreserve (FFR-CT) lässt sich beurteilen, ob Läsionen der Koronararterien zu einer Myokardischämie führen werden. Ziel der vorliegenden Studie war es, den prädiktiven Wert der FFR-CT für kardiovaskuläre Ereignisse bei Patienten mit koronarer Herzkrankheit (KHK) zu untersuchen.

Methoden

Dazu wurden retrospektiv Daten von Patienten mit KHK erfasst, bei denen in der Klinik der Autoren zwischen Januar 2020 und Februar 2022 (Ein-Jahres-Follow-up) eine FFR-CT durchgeführt wurde. Die Patienten wurden in eine Ischämiegruppe (FFR-CT ≤ 0,80) und eine Gruppe ohne Ischämie (FFR-CT > 0,80) eingeteilt. Die Inzidenz der Endpunktereignisse (Herztod, akuter Herzinfarkt, ungeplante Revaskularisierung, instabile Angina und stabile Angina) wurde berechnet. Der FFR-CT-Wert wurde anhand von Cox-Regressions-Modellen und Kaplan-Meier-Überlebenskurven mit den Endpunktereignissen korreliert.

Ergebnisse

Für die Studie wurden 134 Patienten rekrutiert (93 [69,4%] in der Ischämiegruppe bzw. 41 [30,6%] Patienten in der Gruppe ohne Ischämie). In der Ischämiegruppe gab es einen höheren Anteil an Männern, Patienten mit Typ-2-Diabetes und Hypertonie sowie Patienten, die Thrombozytenaggregationshemmer und β‑Blocker einnahmen, als in der Gruppe ohne Ischämie (alle p < 0,05), während andere Parameter vergleichbar waren. Die multivariate Cox-Regressions-Analyse ergab keine signifikanten Unterschiede in Bezug auf Herztod, akuten Herzinfarkt, ungeplante Revaskularisierung und instabile Angina zwischen den Gruppen. In der Ischämiegruppe war die Inzidenz von Ereignissen mit stabiler Angina (Hazard Ratio: 3,092; 95%-Konfidenzintervall: 1,362–7,022; p = 0,007) signifikant höher. Die Kaplan-Meier-Überlebensanalyse ergab einen signifikanten Unterschied zwischen den Gruppen für das ereignisfreie Überleben in Bezug auf stabile Angina (p = 0,002).

Schlussfolgerung

Bei Patienten mit KHK wurde für die FFR-CT ein unabhängiger prädiktiver Wert in Bezug auf stabile Angina innerhalb eines Jahres nach der Untersuchung nachgewiesen.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Koo BK, Erglis A, Doh JH et al (2011) Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (diagnosis of Ischemia-causing stenoses obtained via noninvasive fractional flow reserve) study. J Am Coll Cardiol 58:1989–1997. https://doi.org/10.1016/j.jacc.2011.06.066

    Article  PubMed  Google Scholar 

  2. Nørgaard BL, Leipsic J, Gaur S et al (2014) Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (analysis of coronary blood flow using CT angiography: next steps). J Am Coll Cardiol 63:1145–1155. https://doi.org/10.1016/j.jacc.2013.11.043

    Article  PubMed  Google Scholar 

  3. Min JK, Berman DS, Budoff MJ et al (2011) Rationale and design of the DeFACTO (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic AngiOgraphy) study. J Cardiovasc Comput Tomogr 5:301–309. https://doi.org/10.1016/j.jcct.2011.08.003

    Article  PubMed  Google Scholar 

  4. Lawton JS, Tamis-Holland JE, Bangalore S et al (2022) 2021 ACC/AHA/SCAI guideline for coronary artery revascularization: executive summary: a report of the American college of cardiology/American heart association joint committee on clinical practice guidelines. Circulation 145:e4–e17. https://doi.org/10.1161/CIR.0000000000001039

    Article  PubMed  Google Scholar 

  5. Neumann FJ, Sousa-Uva M, Ahlsson A et al (2019) 2018 ESC/EACTS guidelines on myocardial revascularization. Eur Heart J 40:87–165. https://doi.org/10.1093/eurheartj/ehy394

    Article  PubMed  Google Scholar 

  6. Janne d’Othée B, Siebert U, Cury R, Jadvar H, Dunn EJ, Hoffmann U (2008) A systematic review on diagnostic accuracy of CT-based detection of significant coronary artery disease. Eur J Radiol 65:449–461. https://doi.org/10.1016/j.ejrad.2007.05.003

    Article  PubMed  Google Scholar 

  7. Ahmadi N, Ruiz-Garcia J, Hajsadeghi F et al (2016) Impaired coronary artery distensibility is an endothelium-dependent process and is associated with vulnerable plaque composition. Clin Physiol Funct Imaging 36:261–268. https://doi.org/10.1111/cpf.12220

    Article  CAS  PubMed  Google Scholar 

  8. Lu MT, Ferencik M, Roberts RS et al (2017) Noninvasive FFR derived from coronary ct angiography: management and outcomes in the PROMISE trial. JACC Cardiovasc Imaging 10:1350–1358. https://doi.org/10.1016/j.jcmg.2016.11.024

    Article  PubMed  PubMed Central  Google Scholar 

  9. Douglas PS, De Bruyne B, Pontone G et al (2016) 1‑year outcomes of FFRCT-guided care in patients with suspected coronary disease: the PLATFORM study. J Am Coll Cardiol 68:435–445. https://doi.org/10.1016/j.jacc.2016.05.057

    Article  PubMed  Google Scholar 

  10. Patel MR, Nørgaard BL, Fairbairn TA et al (2020) 1‑year impact on medical practice and clinical outcomes of FFRCT: the ADVANCE registry. JACC Cardiovasc Imaging 13:97–105. https://doi.org/10.1016/j.jcmg.2019.03.003

    Article  PubMed  Google Scholar 

  11. Eberhard M, Nadarevic T, Cousin A et al (2020) Machine learning-based CT fractional flow reserve assessment in acute chest pain: first experience. Cardiovasc Diagn Ther 10:820–830. https://doi.org/10.21037/cdt-20-381

    Article  PubMed  PubMed Central  Google Scholar 

  12. Martin SS, Mastrodicasa D, van Assen M et al (2020) Value of machine learning-based coronary ct fractional flow reserve applied to triple-rule-out CT angiography in acute chest pain. Radiol Cardiothorac Imaging 2:e190137. https://doi.org/10.1148/ryct.2020190137

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chinnaiyan KM, Safian RD, Gallagher ML et al (2020) Clinical use of CT-derived fractional flow reserve in the emergency department. JACC Cardiovasc Imaging 13:452–461. https://doi.org/10.1016/j.jcmg.2019.05.025

    Article  PubMed  Google Scholar 

  14. Ahmadi A, Kini A, Narula J (2015) Discordance between ischemia and stenosis, or PINSS and NIPSS: are we ready for new vocabulary? JACC Cardiovasc Imaging 8:111–114. https://doi.org/10.1016/j.jcmg.2014.11.010

    Article  PubMed  Google Scholar 

  15. Gaur S, Taylor CA, Jensen JM et al (2017) FFR derived from coronary CT angiography in nonculprit lesions of patients with recent STEMI. JACC Cardiovasc Imaging 10:424–433. https://doi.org/10.1016/j.jcmg.2016.05.019

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Shenzhen RaySight Intelligent Medical Technology Co., Ltd. (China) for their assistance in calculating FFR-CT value and all the participants and all staff members of this study for their contributions.

Funding

The study was supported by the Construction Fund of Key Medical Disciplines of Hangzhou (grant number: OO20200121). The funder had a role in the collection of data and in the decision to submit the article for publication.

Author information

Authors and Affiliations

Authors

Contributions

YX guarantees the integrity of the study. YX and ML contributed to the conception and design. HH and ML conducted the literature search. HH, ML, YY, and YC conducted the clinical studies. HH, ML, and YY conducted the experimental analyses and data analysis. HH, ML, and YY performed the statistical analysis. HH, ML prepared the original manuscript and HH, ML, and YX edited the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Ethics declarations

Conflict of interest

H. Han, M. Liu, Y. Yu, Y. Chen and Y. Xu declare that they have no competing interests.

The study was approved by the Clinical Application of Medical Technology and Research Ethics Committee of Hangzhou First People’s Hospital. All methods were carried out in accordance with relevant guidelines and regulations. All patients provided written informed consent for participation.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The authors Hongwei Han and Meijun Liu contributed equally to the manuscript.

Availability of data and materials

All data and materials can be accessed via the corresponding author upon reasonable request.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, H., Liu, M., Yu, Y. et al. Predictive value of coronary artery computed tomography-derived fractional flow reserve for cardiovascular events in patients with coronary artery disease. Herz (2023). https://doi.org/10.1007/s00059-023-05220-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00059-023-05220-3

Keywords

Schlüsselwörter

Navigation