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Osumi Y, Kawamori H, Toba T, Hiromasa T, Fujimoto D, Kakizaki S, Nakamura K, Hamana T, Fujii H, Sasaki S, Iwane S, Yamamoto T, Naniwa S, Sakamoto Y, Matsuhama K, Fukuishi Y, Kozuki A, Shite J, Takaya T, Ishida A, Iwasaki M, Hirata KI, Otake H. Impact of morphofunctional assessment with quantitative flow ratio and optical coherence tomography in patients with acute coronary syndromes. EUROINTERVENTION 2024; 20:e927-e936. [PMID: 39099378 PMCID: PMC11285042 DOI: 10.4244/eij-d-23-01043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/29/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND Combining morphological and physiological evaluations might improve the risk stratification of patients who undergo percutaneous coronary intervention (PCI) for acute coronary syndrome (ACS) culprit lesions. AIMS We aimed to investigate the clinical utility of morphofunctional evaluation after PCI for identifying ACS patients with increased risk of subsequent clinical events. METHODS We retrospectively studied 298 consecutive ACS patients who had undergone optical coherence tomography (OCT)-guided PCI. We performed OCT-based morphological analysis and quantitative flow ratio (QFR)-based physiological assessment immediately after PCI. The non-culprit segment (NCS) was defined as the most stenotic untreated segment in the culprit vessel. The primary outcome was target vessel failure (TVF), a composite of cardiac death, target vessel-related myocardial infarction, and ischaemia-driven target vessel revascularisation. RESULTS During a median follow-up period of 990 days, 42 patients experienced TVF. Cox regression analysis revealed that the presence of thin-cap fibroatheroma (TCFA) in the NCS and a low post-PCI QFR, or the presence of TCFA in the NCS and a high ΔQFR in the NCS (QFRNCS), were independently associated with TVF. The subgroup with TCFA in the NCS and a low post-PCI QFR had a significantly higher incidence of TVF (75%) than the other subgroups, and those with TCFA in the NCS and a high ΔQFRNCS had a significantly higher incidence of TVF (86%) than the other subgroups. The integration of TCFA in NCS, post-PCI QFR, and ΔQFRNCS with traditional risk factors significantly enhanced the identification of subsequent TVF cases. CONCLUSIONS Combining post-PCI OCT and QFR evaluation may enhance risk stratification for ACS patients after successful PCI, particularly in predicting subsequent TVF.
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Affiliation(s)
- Yuto Osumi
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiroyuki Kawamori
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takayoshi Toba
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takashi Hiromasa
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Daichi Fujimoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shunsuke Kakizaki
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Koichi Nakamura
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tomoyo Hamana
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiroyuki Fujii
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Satoru Sasaki
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Seigo Iwane
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tetsuya Yamamoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shota Naniwa
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yuki Sakamoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Koshi Matsuhama
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yuta Fukuishi
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Amane Kozuki
- Division of Cardiovascular Medicine, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Junya Shite
- Division of Cardiovascular Medicine, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Tomofumi Takaya
- Division of Cardiovascular Medicine, Hyogo Prefectural Harima-Himeji General Medical Center, Himeji, Japan
| | - Akihiko Ishida
- Department of Cardiology, Toyooka Public Hospital, Toyooka, Japan
| | - Masamichi Iwasaki
- Department of Cardiology, Hyogo Prefectural Awaji Medical Center, Sumoto, Japan
| | - Ken-Ichi Hirata
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiromasa Otake
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
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Kitabata H. Editorial: Can QFR be beyond pressure-wire based physiological indices? CARDIOVASCULAR REVASCULARIZATION MEDICINE 2024; 61:42-43. [PMID: 38036406 DOI: 10.1016/j.carrev.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 12/02/2023]
Affiliation(s)
- Hironori Kitabata
- Department of Cardiovascular Medicine, Wakayama Medical University, Japan.
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Kiyohara Y, Kishino Y, Ueyama HA, Takahashi T, Kobayashi Y, Takagi H, Wiley J, Kuno T. Comparison among various physiology and angiography-guided strategies for deferring percutaneous coronary intervention: A network meta-analysis. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2024; 61:35-41. [PMID: 37891055 DOI: 10.1016/j.carrev.2023.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND/PURPOSE It is unclear whether coronary physiology or coronary angiography (CA)-guided strategy is the more preferable approach for deferring percutaneous coronary intervention (PCI). We sought to evaluate the clinical efficacy of various PCI strategies through a network meta-analysis of randomized controlled trials (RCTs). METHODS/MATERIALS We searched multiple databases for RCTs investigating the impact of the following strategies for the purpose of determining whether or not to defer PCI: fractional flow reserve, instantaneous wave-free ratio, quantitative flow ratio (QFR), and CA. We conducted a network meta-analysis for trial-defined major adverse cardiovascular events (MACE), all-cause death, cardiovascular death, myocardial infarction (MI), target lesion revascularization (TLR), and stent thrombosis. We performed a subgroup analysis for those with acute coronary syndrome (ACS). RESULTS Our search identified 12 eligible RCTs including a total of 13,177 patients. QFR-guided PCI was associated with reduced MACE, MI, and TLR compared with CA-guided PCI (relative risk (RR) 0.68; 95 % confidence interval (CI] [0.49 to 0.94], RR 0.58; 95 % CI [0.36 to 0.96], and RR 0.58; 95 % CI [0.38 to 0.91], respectively). There were no significant differences in any pairs for all-cause death, cardiovascular death, or stent thrombosis. QFR was ranked the best in most outcomes. In the subgroup analysis of the ACS cohort, there were no significant differences in MACE between any comparisons. CONCLUSIONS QFR was associated with reduced MACE, MI, and TLR compared with CA, and ranked the best in most outcomes. However, this was not applied in the ACS cohort.
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Affiliation(s)
- Yuko Kiyohara
- Department of Medicine, The University of Tokyo Hospital, Tokyo, Japan
| | - Yoshikazu Kishino
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | | | | | - Yuhei Kobayashi
- Division of Cardiology, NewYork-Presbyterian Brooklyn Methodist Hospital, NY, USA
| | - Hisato Takagi
- Department of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan
| | - Jose Wiley
- Section of Cardiology, Department of Medicine, Tulane University School of Medicine, LA, USA
| | - Toshiki Kuno
- Division of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, NY, USA; Division of Cardiology, Jacobi Medical Center, Albert Einstein College of Medicine, NY, USA.
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Hu T, Qiu Q, Xie N, Sun M, Jia Q, Huang M. Prognostic value of optical flow ratio for cardiovascular outcomes in patients after percutaneous coronary stent implantation. Front Cardiovasc Med 2023; 10:1247053. [PMID: 38155983 PMCID: PMC10753062 DOI: 10.3389/fcvm.2023.1247053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 11/20/2023] [Indexed: 12/30/2023] Open
Abstract
Background The relationship between the optical flow ratio (OFR) and clinical outcomes in patients with coronary artery disease (CAD) after percutaneous coronary stent implantation (PCI) remains unknown. Objective To examine the correlation between post-PCI OFR and clinical outcomes in patients with CAD following PCI. Methods Patients who underwent optical coherence tomography (OCT) guided PCI at Guangdong Provincial People's Hospital were retrospectively and continuously enrolled. Clinical data, post-PCI OCT characteristics, and OFR measurements were collected and analyzed to identify predictors of target vessel failure (TVF) after PCI. Results Among 354 enrolled patients, 26 suffered TVF during a median follow-up of 484 (IQR: 400-774) days. Post-PCI OFR was significantly lower in the TVF group than in the non-TVF group (0.89 vs. 0.93; P = 0.001). In multivariable Cox regression analysis, post-PCI OFR (HR per 0.1 increase: 0.60; 95% CI: 0.41-0.89; P = 0.011), large stent edge dissection (HR: 3.85; 95% CI: 1.51-9.84; P = 0.005) and thin-cap fibroatheroma (TCFA) (HR: 2.95; 95% CI: 1.19-7.35; P = 0.020) in the non-stented segment were independently associated with TVF. In addition, the inclusion of post-PCI OFR to baseline characteristics and post-PCI OCT findings improved the predictive power of the model to distinguish subsequent TVF after PCI (0.838 vs. 0.796; P = 0.028). Conclusion The post-PCI OFR serves as an independent determinant of risk for TVF in individuals with CAD after PCI. The inclusion of post-PCI OFR assessments, alongside baseline characteristics and post-PCI OCT findings, substantially enhances the capacity to differentiate the subsequent manifestation of TVF in CAD patients following PCI.
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Affiliation(s)
- Tianyu Hu
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qinghua Qiu
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Nianjin Xie
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Mingming Sun
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qianjun Jia
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Meiping Huang
- Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
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Mézquita AJV, Biavati F, Falk V, Alkadhi H, Hajhosseiny R, Maurovich-Horvat P, Manka R, Kozerke S, Stuber M, Derlin T, Channon KM, Išgum I, Coenen A, Foellmer B, Dey D, Volleberg RHJA, Meinel FG, Dweck MR, Piek JJ, van de Hoef T, Landmesser U, Guagliumi G, Giannopoulos AA, Botnar RM, Khamis R, Williams MC, Newby DE, Dewey M. Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group. Nat Rev Cardiol 2023; 20:696-714. [PMID: 37277608 DOI: 10.1038/s41569-023-00880-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2023] [Indexed: 06/07/2023]
Abstract
The detection and characterization of coronary artery stenosis and atherosclerosis using imaging tools are key for clinical decision-making in patients with known or suspected coronary artery disease. In this regard, imaging-based quantification can be improved by choosing the most appropriate imaging modality for diagnosis, treatment and procedural planning. In this Consensus Statement, we provide clinical consensus recommendations on the optimal use of different imaging techniques in various patient populations and describe the advances in imaging technology. Clinical consensus recommendations on the appropriateness of each imaging technique for direct coronary artery visualization were derived through a three-step, real-time Delphi process that took place before, during and after the Second International Quantitative Cardiovascular Imaging Meeting in September 2022. According to the Delphi survey answers, CT is the method of choice to rule out obstructive stenosis in patients with an intermediate pre-test probability of coronary artery disease and enables quantitative assessment of coronary plaque with respect to dimensions, composition, location and related risk of future cardiovascular events, whereas MRI facilitates the visualization of coronary plaque and can be used in experienced centres as a radiation-free, second-line option for non-invasive coronary angiography. PET has the greatest potential for quantifying inflammation in coronary plaque but SPECT currently has a limited role in clinical coronary artery stenosis and atherosclerosis imaging. Invasive coronary angiography is the reference standard for stenosis assessment but cannot characterize coronary plaques. Finally, intravascular ultrasonography and optical coherence tomography are the most important invasive imaging modalities for the identification of plaques at high risk of rupture. The recommendations made in this Consensus Statement will help clinicians to choose the most appropriate imaging modality on the basis of the specific clinical scenario, individual patient characteristics and the availability of each imaging modality.
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Affiliation(s)
| | - Federico Biavati
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Volkmar Falk
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany
- Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Pál Maurovich-Horvat
- Department of Radiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary
| | - Robert Manka
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, ETH Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Stuber
- Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Keith M Channon
- Radcliffe Department of Medicine, University of Oxford and Oxford University Hospitals, Oxford, UK
| | - Ivana Išgum
- Department of Biomedical Engineering and Physics, Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Adriaan Coenen
- Department of Radiology, Erasmus University, Rotterdam, Netherlands
| | - Bernhard Foellmer
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Damini Dey
- Departments of Biomedical Sciences and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rick H J A Volleberg
- Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Felix G Meinel
- Department of Radiology, University Medical Centre Rostock, Rostock, Germany
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jan J Piek
- Department of Clinical and Experimental Cardiology and Cardiovascular Sciences, Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, Netherlands
| | - Tim van de Hoef
- Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ulf Landmesser
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany
- Department of Cardiology, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Giulio Guagliumi
- Division of Cardiology, IRCCS Galeazzi Sant'Ambrogio Hospital, Milan, Italy
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Ramzi Khamis
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany.
- Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany.
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