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

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 computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACEs). Methods: Global multicenter registry including symptomatic patients with suspicion of coronary artery disease referred for coronary computed tomography angiography. AI-QCT analyzed 16 coronary artery disease features. The primary end point 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, noncalcified plaque, calcified plaque, and percentage atheroma volume were significantly higher in men (P<0.001), and high-risk plaques were more prevalent (9.2% versus 2.5%; P<0.0001). Independent of age and cardiovascular risk factors, the AI-QCT-derived features of total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume conferred a higher relative risk of MACE in women than men. For every 50-mm3 increase in total plaque volume, relative risk increased by 17.7% (95% CI, 1.12-1.24) in women versus 5.3% (95% CI, 1.03-1.07) in men (P$_{interaction}$<0.001); for noncalcified plaque, relative risk increased by 27.1% (95% CI, 1.17-1.38) versus 11.6% (95% CI, 1.08-1.15; P$_{interaction}$=0.0015); and for calcified plaque, relative risk increased by 22.9% (95% CI, 1.14-1.33) versus 5.4% (95% CI, 1.01-1.10; P$_{interaction}$=0.0012), respectively. Similarly, for percentage atheroma volume, the risk was higher in women. The findings remained unchanged when restricted to a secondary composite end point (death and myocardial infarction). Conclusions: The AI-QCT plaque features, total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume, conferred a higher relative MACE risk in women and may prompt more aggressive antiatherosclerotic therapy and reinforced preventive interventions. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04279496.

Authors

Publication Details

Journal
Universität Zürich, ZORA
Published
2025-06-01
DOI
https://doi.org/10.5167/uzh-283350
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Paul Knaapen, Erica Maffei, Ronny R. Buechel, Geoffrey W. Cho et al.
Universität Zürich, ZORA
Cardiac Imaging and Diagnostics
article

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

Paul Knaapen, Erica Maffei, Ronny R. Buechel, Geoffrey W. Cho, Ashraf M. Hamdan, Pietro G. Lacaita, Mirvat Alasnag, Rine Nakanishi, Dinesh Kalra, Ronald P Karlsberg, Andrew D Choi, Cristiane C Singulane, Nick Nurmohamed, Mouaz Al-Mallah, et al., Fatima Rodriguez, Jeroen Bax, Amit Patel, Himanshu Gupta, Gianluca Pontone, Saima Mushtaq, Filippo Cademartiri, Martin Hadamitzky, Omar Khalique, Daniele Andreini, Hugo Marques, James Mills, Pedro De Araújo Gonçalves, Carlos Rochitte, Christoph Gräni, Gudrun Feuchtner
article en

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 computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACEs). Methods: Global multicenter registry including symptomatic patients with suspicion of coronary artery disease referred for coronary computed tomography angiography. AI-QCT analyzed 16 coronary artery disease features. The primary end point 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, noncalcified plaque, calcified plaque, and percentage atheroma volume were significantly higher in men (P<0.001), and high-risk plaques were more prevalent (9.2% versus 2.5%; P<0.0001). Independent of age and cardiovascular risk factors, the AI-QCT-derived features of total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume conferred a higher relative risk of MACE in women than men. For every 50-mm3 increase in total plaque volume, relative risk increased by 17.7% (95% CI, 1.12-1.24) in women versus 5.3% (95% CI, 1.03-1.07) in men (P$_{interaction}$<0.001); for noncalcified plaque, relative risk increased by 27.1% (95% CI, 1.17-1.38) versus 11.6% (95% CI, 1.08-1.15; P$_{interaction}$=0.0015); and for calcified plaque, relative risk increased by 22.9% (95% CI, 1.14-1.33) versus 5.4% (95% CI, 1.01-1.10; P$_{interaction}$=0.0012), respectively. Similarly, for percentage atheroma volume, the risk was higher in women. The findings remained unchanged when restricted to a secondary composite end point (death and myocardial infarction). Conclusions: The AI-QCT plaque features, total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume, conferred a higher relative MACE risk in women and may prompt more aggressive antiatherosclerotic therapy and reinforced preventive interventions. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04279496.

Universität Zürich, ZORA
Good health and well-being
Openalex Percentile: Top 28%
Cardiac Imaging and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.