Why the study?
Does comprehensive CMR improve prognostic prediction of mortality and MACE beyond conventional risk factors in patients with stable CAD?
Does comprehensive CMR improve prognostic prediction of mortality and MACE beyond conventional risk factors in patients with stable CAD?
Comprehensive CMR, specifically LGE and stress perfusion, provides independent prognostic value for mortality and MACE beyond conventional risk factors in stable CAD patients on optimal medical therapy.
CMR may refine prognosis in optimally treated stable CAD; leaves open whether it improves risk stratification or alters management.
AIMS: CMR) permits a comprehensive evaluation of stable coronary artery disease (CAD). We sought to assess whether, in a large contemporaneous population receiving optimal medical therapy, CMR independently predicts prognosis beyond conventional cardiovascular risk factors (RF). METHODS: We performed a single centre, observational prospective study that enrolled 465 CAD patients (80% males; 63±11 years), optimally treated with ACE-inhibitors/ARB, aspirin, and statins (76-85%). Assessments included conventional evaluation (clinical history, atherosclerosis RF, electrocardiography, and echocardiography) and a comprehensive CMR with LV dimensions/function, late gadolinium enhancement (LGE), and stress perfusion CMR (SPCMR). RESULTS: During a median follow-up of 62 months (IQR 23-74) there were 50 deaths and 92 major adverse cardiovascular events (MACE). CMR variables improved multivariate model prediction power of mortality and MACE over traditional RF alone (F-test p<0.05 and p<0.001, respectively). LGE was an independent prognostic factor of mortality (hazard ratio [95% CI]: 3.4 [1.3-8.8]); moreover, LGE (3.3 [1.7-6.3]) and SPCMR (2.1 [1.4-3.2]) were the best predictors of MACE. CONCLUSION: LGE is an independent noninvasive marker of mortality in the long term in patients with stable CAD and optimized medical therapy. Furthermore, LGE and SPCMR independently predict MACE beyond conventional risk stratification.
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Catalano et al. (2018) studied this question.
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