AI-Quantitative CT Coronary Plaque Features Associate with a Higher Relative Risk in Women: CONFIRM2-Registry.

IF 6.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Gudrun M Feuchtner, Pietro G Lacaita, Jeroen J Bax, Fatima Rodriguez, Rine Nakanishi, Gianluca Pontone, Saima Mushtaq, Ronny R Buechel, Christoph Gräni, Amit R Patel, Cristiane C Singulane, Andrew D Choi, Mouaz Al-Mallah, Daniele Andreini, Ronald P Karlsberg, Geoffrey W Cho, Carlos E Rochitte, Mirvat Alasnag, Ashraf Hamdan, Filippo Cademartiri, Erica Maffei, Hugo Marques, Pedro M Gonçalves Pereira, Himanshu Gupta, Martin Hadamitzky, Omar Khalique, Dinesh Kalra, James D Mills, Nick S Nurmohamed, Paul Knaapen, Matthew Budoff, Kashif Shaikh, Enrico Martin, David M German, Maros Ferencik, Andrew C Oehler, Roderick Deaño, Prashant Nagpal, Marly van Assen, Carlo Nicola De Cecco, Borek Foldyna, Jan Michael Brendel, Victor Y Cheng, Kelley Branch, Marcio Bittencourt, Sabha Bhatti, Venkateshwar Polsani Md, George Wesbey, Rhanderson Cardoso, Ron Blankstein, Augustin Delago, Amit Pursnani, Amro Alsaid, Stephen Bloom, Vasileios Kamperidis, Fabian Barbieri, Melissa Aquino, Ibrahim Danad, Alexander van Rosendael
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引用次数: 0

Abstract

Background: Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assessed by artificial intelligence-based quantitative coronary computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACE). Methods: Global multicenter registry (CONFIRM2) including symptomatic patients with suspicion of CAD referred for coronary CTA. AI-QCT analyzed 16 CAD features. Primary endpoint was MACE defined as death, myocardial infarction, late revascularization, cerebrovascular events, unstable angina and congestive heart failure. Results: Among 3551 patients (mean age 59±12 years, 49.5% women), MACE occurred in 3.2% of women and 6.1% of men during an average follow-up of 4.8±2.2 years. The AI-QCT features total plaque volume (TPV), noncalcified plaque (NCP), calcified plaque (CP) and percentage atheroma volume (PAV) were significantly higher in men (p<0.001), and high-risk plaque (HRP) was more prevalent (9.2% vs 2.5%, p<0.0001). Independent of age and cardiovascular risk factors, the AI-QCT derived features of TPV, NCP, CP, and PAV conferred a higher relative risk of MACE in women than men. For every 50mm3 increase in TPV, relative risk increased by 17.7% (95% CI 1.12-1.24) in women vs 5.3% (95% CI 1.03-1.07) in men (p-interaction<0.001), for NCP relative risk increased by 27.1% (95% CI 1.17-1.38) vs 11.6% (95% CI 1.08-1.15) (p-interaction = 0.0015), and for CP, by 22.9% (95% CI 1.14-1.33) vs 5.4% (95% CI 1.01-1.10) (p-interaction = 0.0012), respectively. Similarly, for PAV the risk was higher in women. The findings remained unchanged when restricted to a secondary composite endpoint (death and myocardial infarction). Conclusions: The AI-QCT plaque features TPV, NCP, CP and PAV conferred a higher relative MACE risk in women and may prompt more aggressive anti-atherosclerotic therapy and reinforced preventive interventions.

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来源期刊
CiteScore
6.30
自引率
2.70%
发文量
225
审稿时长
6-12 weeks
期刊介绍: Circulation: Cardiovascular Imaging, an American Heart Association journal, publishes high-quality, patient-centric articles focusing on observational studies, clinical trials, and advances in applied (translational) research. The journal features innovative, multimodality approaches to the diagnosis and risk stratification of cardiovascular disease. Modalities covered include echocardiography, cardiac computed tomography, cardiac magnetic resonance imaging and spectroscopy, magnetic resonance angiography, cardiac positron emission tomography, noninvasive assessment of vascular and endothelial function, radionuclide imaging, molecular imaging, and others. Article types considered by Circulation: Cardiovascular Imaging include Original Research, Research Letters, Advances in Cardiovascular Imaging, Clinical Implications of Molecular Imaging Research, How to Use Imaging, Translating Novel Imaging Technologies into Clinical Applications, and Cardiovascular Images.
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