[A cardiac magnetic resonance-based risk prediction model for left ventricular adverse remodeling following percutaneous coronary intervention for acute ST-segment elevation myocardial infarction: a multi-center prospective study].

OBJECTIVES

To develop a risk prediction model for left ventricular adverse remodeling (LVAR) based on cardiac magnetic resonance (CMR) parameters in patients undergoing percutaneous coronary intervention (PCI) for acute ST-segment elevation myocardial infarction (STEMI).

METHODS

A total of 329 acute STEMI patients undergoing primary PCI at 8 medical centers from January, 2018 to December, 2021 were prospectively enrolled. The parameters of CMR, performed at 7±2 days and 6 months post-PCI, were analyzed using CVI42 software. LVAR was defined as an increase >20% in left ventricular end-diastolic volume or >15% in left ventricular end-systolic volume at 6 months compared to baseline. The patients were randomized into training (=230) and validation (=99) sets in a 7∶3 ratio. In the training set, potential predictors were selected using LASSO regression, followed by univariate and multivariate logistic regression to construct a nomogram. Model performance was evaluated using receiver-operating characteristic (ROC) curves, area under the curve (AUC), calibration curves, and decision curve analysis.

RESULTS

LVAR occurred in 100 patients (30.40%), who had a higher incidence of major adverse cardiovascular events than those without LVAR (58.00% 16.16%, <0.001). Left ventricular global longitudinal strain (LVGLS; OR=0.76, 95% : 0.61-0.95, =0.015) and left atrial active strain (LAAS; OR=0.78, 95% : 0.67-0.92, =0.003) were protective factors for LVAR, while infarct size (IS; OR=1.05, 95% : 1.01-1.10, =0.017) and microvascular obstruction (MVO; OR=1.26, 95% : 1.01-1.59, =0.048) were risk factors for LVAR. The nomogram had an AUC of 0.90 (95% : 0.86-0.94) in the training set and an AUC of 0.88 (95% : 0.81-0.94) in the validation set.

CONCLUSIONS

LVGLS, LAAS, IS, and MVO are independent predictors of LVAR in STEMI patients following PCI. The constructed nomogram has a strong predictive ability to provide assistance for management and early intervention of LVAR.