[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].
Year: 2025
Type: article
Study design: Observational Study
Abstract: 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: =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: : 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.
Source: PubMed
Authors: Zhenyan Ma, Xin A, Lei Zhao, Hongbo Zhang, Ke Liu, Yiqing Zhao, Geng Qian
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4409962189