European heart journal. Cardiovascular Imaging · 2026
Rethinking post-infarction remodelling: identification and validation of data-driven cardiac MRI phenotypes for risk stratification.
СтатьяВалидационное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Xiang Jin-Yi, Wu Jingping, Zhao Yun, Yin Tingxuan, Zhu Guo-Jun, Cao Si-Ying, Chen Bing-Hua, An Dong-Aolei, Wu Lian-Ming, Pu Jun
Аннотация
AIMS: Conventional definitions of adverse left ventricular remodelling (ALVR) following ST-elevation myocardial infarction (STEMI), which are based on longitudinal changes in left ventricular end-diastolic volume index and ejection fraction, have demonstrated limited prognostic value. This study aimed to identify prognostic relevant remodelling phenotypes using a data-driven approach on longitudinal cardiac magnetic resonance (CMR) data.
METHODS AND RESULTS: In this prospective longitudinal study, a derivation cohort (n = 337) and an independent validation cohort (n = 190) of patients with reperfused STEMI were analysed. Patients underwent CMR at <7 days and 6-month follow-up. An unsupervised clustering algorithm was applied using baseline biventricular, biatrial, and infarct parameters, plus their longitudinal changes. Major adverse cardiovascular events (MACE) included all-cause mortality, recurrent myocardial infarction (MI), and heart failure. Three reproducible post-MI phenotypes were identified: Low Risk (n = 175), Early Remodelling (n = 96, severe acute injury with minimal longitudinal change), and Atrial-dominant Remodelling (n = 66, bi-atrial and ventricular enlargement). Phenotype-stratified MACE-free survival differed significantly in both cohorts (derivation P < 0.001; validation P = 0.002). In the validation cohort, both Early Remodelling (hazard ratio [HR] 4.73; 95% confidence interval [CI]: 1.77-12.64) and Atrial-dominant Remodelling (HR 4.02; 95% CI: 1.49-10.88) were associated with elevated MACE risk vs. the Low-Risk group; the Atrial-dominant Phenotype was further associated with heart failure hospitalization (subdistribution HR: 5.92; 95% CI: 1.04-33.56). Adding the derived phenotypes to baseline CMR parameters improved MACE discrimination (C-index 0.755 vs. 0.714; ΔC 0.041, 95% CI: 0.006-0.074), whereas conventional ALVR did not.
CONCLUSION: Three reproducible post-MI remodelling phenotypes were identified, which provide superior risk stratification for MACE over conventional ALVR criteria and insights into post-MI heart failure.
METHODS AND RESULTS: In this prospective longitudinal study, a derivation cohort (n = 337) and an independent validation cohort (n = 190) of patients with reperfused STEMI were analysed. Patients underwent CMR at <7 days and 6-month follow-up. An unsupervised clustering algorithm was applied using baseline biventricular, biatrial, and infarct parameters, plus their longitudinal changes. Major adverse cardiovascular events (MACE) included all-cause mortality, recurrent myocardial infarction (MI), and heart failure. Three reproducible post-MI phenotypes were identified: Low Risk (n = 175), Early Remodelling (n = 96, severe acute injury with minimal longitudinal change), and Atrial-dominant Remodelling (n = 66, bi-atrial and ventricular enlargement). Phenotype-stratified MACE-free survival differed significantly in both cohorts (derivation P < 0.001; validation P = 0.002). In the validation cohort, both Early Remodelling (hazard ratio [HR] 4.73; 95% confidence interval [CI]: 1.77-12.64) and Atrial-dominant Remodelling (HR 4.02; 95% CI: 1.49-10.88) were associated with elevated MACE risk vs. the Low-Risk group; the Atrial-dominant Phenotype was further associated with heart failure hospitalization (subdistribution HR: 5.92; 95% CI: 1.04-33.56). Adding the derived phenotypes to baseline CMR parameters improved MACE discrimination (C-index 0.755 vs. 0.714; ΔC 0.041, 95% CI: 0.006-0.074), whereas conventional ALVR did not.
CONCLUSION: Three reproducible post-MI remodelling phenotypes were identified, which provide superior risk stratification for MACE over conventional ALVR criteria and insights into post-MI heart failure.