BACKGROUND: Cardiovascular magnetic resonance (CMR) predicts combined clinical events in post-ST-segment elevation myocardial infarction (STEMI) patients. However, its contribution to predicting long-term major events (ME: cardiac death and non-fatal myocardial infarction [MI]) is unknown. We aimed to assess whether CMR predicts long-term MEs when performed soon after STEMI. METHODS AND RESULTS: We prospectively recruited 546 STEMI patients between 2004 and 2012. The Left ventricular (LV) ejection fraction (LVEF,%), infarct size (IS), edema, hemorrhage, microvascular obstruction, and myocardial salvage were quantified by CMR at pre-discharge. During a mean follow-up of 840 days, 57 ME events (10%; 23 cardiac deaths, 34 non-fatal MIs) were documented. Patients with MEs has more depressed LVEFs (p<0.001), larger ISs (p<0.001), more extensive edema, hemorrhage, and microvascular obstruction, and lower myocardial salvage (p<0.05). CMR indexes were dichotomized according to the best cutoff values for predicting ME. In a comprehensive multivariate model, a LVEF<40% (HR: 2.3; 95% CI [12, 43]; p= 0.009) and an IS>30% of LV mass (HR: 2.4; 95% CI [13, 44]; p= 0.007) independently doubled the ME risk. The ME risk rates were 6%, 14%, and 30%, respectively (p<0.001) in patients with both the LVEF≥40% and an IS≤30% of LV mass (n=393), those with only one altered value (n=84), and in cases with both the LVEF<40% and an IS>30% of LV mass (n=69). Similar tendencies were observed regarding cardiac deaths (2%, 6%, 14%; p<0.001) and MI (4%, 8%, 16%; p < 0.001). CONCLUSIONS: CMR performed soon after STEMI predicts long-term MEs. Combined analysis of CMR-derived LVEF and IS allows robust stratification of patient outcomes.
BACKGROUND: Cardiovascular magnetic resonance (CMR) predicts combined clinical events in post-ST-segment elevation myocardial infarction (STEMI) patients. However, its contribution to predicting long-term major events (ME: cardiac death and non-fatal myocardial infarction [MI]) is unknown. We aimed to assess whether CMR predicts long-term MEs when performed soon after STEMI. METHODS AND RESULTS: We prospectively recruited 546 STEMI patients between 2004 and 2012. The Left ventricular (LV) ejection fraction (LVEF,%), infarct size (IS), edema, hemorrhage, microvascular obstruction, and myocardial salvage were quantified by CMR at pre-discharge. During a mean follow-up of 840 days, 57 ME events (10%; 23 cardiac deaths, 34 non-fatal MIs) were documented. Patients with MEs has more depressed LVEFs (p<0.001), larger ISs (p<0.001), more extensive edema, hemorrhage, and microvascular obstruction, and lower myocardial salvage (p<0.05). CMR indexes were dichotomized according to the best cutoff values for predicting ME. In a comprehensive multivariate model, a LVEF<40% (HR: 2.3; 95% CI [12, 43]; p= 0.009) and an IS>30% of LV mass (HR: 2.4; 95% CI [13, 44]; p= 0.007) independently doubled the ME risk. The ME risk rates were 6%, 14%, and 30%, respectively (p<0.001) in patients with both the LVEF≥40% and an IS≤30% of LV mass (n=393), those with only one altered value (n=84), and in cases with both the LVEF<40% and an IS>30% of LV mass (n=69). Similar tendencies were observed regarding cardiac deaths (2%, 6%, 14%; p<0.001) and MI (4%, 8%, 16%; p < 0.001). CONCLUSIONS: CMR performed soon after STEMI predicts long-term MEs. Combined analysis of CMR-derived LVEF and IS allows robust stratification of patient outcomes.
Authors: Borja Ibanez; Anthony H Aletras; Andrew E Arai; Hakan Arheden; Jeroen Bax; Colin Berry; Chiara Bucciarelli-Ducci; Pierre Croisille; Erica Dall'Armellina; Rohan Dharmakumar; Ingo Eitel; Rodrigo Fernández-Jiménez; Matthias G Friedrich; David García-Dorado; Derek J Hausenloy; Raymond J Kim; Sebastian Kozerke; Christopher M Kramer; Michael Salerno; Javier Sánchez-González; Javier Sanz; Valentin Fuster Journal: J Am Coll Cardiol Date: 2019-07-16 Impact factor: 24.094
Authors: Cesar Rios-Navarro; Jose Gavara; Veronica Vidal; Clara Bonanad; Paolo Racugno; Antoni Bayes-Genis; Gema Miñana; Oliver Husser; Ricardo Oltra; Julio Nuñez; Francisco J Chorro; Vicente Bodi; Amparo Ruiz-Sauri Journal: PLoS One Date: 2018-10-26 Impact factor: 3.240