Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD - 23/12/23
, T. Pezel 1, S. Toupin 2, T. Hovasse 3, T. Unterseeh 3, F. Sanguineti 3, S. Champagne 3, A. Neylon 3, V. Bousson 4, T. Goncalves 1, A. Léquipar 1, J.-G. Dillinger 1, P. Henry 1, P. Garot 3, J. Garot 3
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Résumé |
Introduction |
Several coronary computed tomography angiography (CCTA) studies have shown the strong prognostic value of the coronary artery disease (CAD) burden and the potential interest of the plaque composition analysis. However, the incremental prognostic value of this plaque analysis above the CAD burden in symptomatic patients with obstructive CAD is not well established.
Objective |
To assess the incremental prognostic value of plaque analysis using CCTA to predict major adverse cardiovascular events (MACEs) above traditional risk factors and CAD burden in symptomatic patients with obstructive CAD on CCTA.
Method |
In a large multicentric registry, consecutive symptomatic patients with newly diagnose of obstructive CAD (at least 1≥50% stenosis on CCTA) were included. The primary composite outcome was MACE defined by cardiovascular death or nonfatal myocardial infarction. Different multivariable Cox regression models were used (Model 1: clinical [traditional risk factors]; model 2: model 1+CAD burden [number of proximal segments with stenosis≥50%+number of vessels with obstructive CAD]; model 3: model 2+plaques feature [number of segments with non-calcified plaques]). The additional predictive value of each model for predicting MACEs was calculated using C-statistic increment, continuous net reclassification improvement (NRI), and the integrative discrimination index (IDI).
Results |
Of 2,312 patients referred for CCTA, 2,038 (mean age 70±12 years, 46% men) completed follow-up (median 6.7 years; interquartile range: 5.9–9.1 years), and 319 experienced a MACE (14%). After adjustment for traditional risk factors, number of proximal segments with>50% stenosis, number of vessels with obstructive CAD, number of segments with noncalcified were all strongly associated with MACEs (all P<0.001). After adjustment, the addition of the analysis of plaque features (model 3) showed the best improvement in model discrimination and reclassification above a model including traditional risk factors and CAD burden (model 2) (C-statistic improvement=0.03; NRI=45.0%; IDI=9.8%, Chi2 global=412, all P<0.001; LR-test P<0.001) (Fig. 1).
Conclusion |
In a large cohort of symptomatic patients with obstructive CAD on CCTA, the analysis of plaque features had an incremental prognostic value to predict MACEs over and above a model combining traditional risk factors and CAD burden.
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Vol 117 - N° 1S
P. S61 - janvier 2024 Retour au numéro
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