Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 3:23 PM
Ignite Modification Date:
2025-12-24 @ 3:23 PM
NCT ID:
NCT07057492
Brief Summary:
This prospective, multicenter study was designed to develop and validate a risk prediction model for major adverse cardiovascular events (MACE) in patients with acute ST-segment elevation myocardial infarction (STEMI) based on cardiac magnetic resonance (CMR) parameters.
From January 2018 to December 2023, consecutive acute STEMI patients who underwent primary percutaneous coronary intervention (PCI) were enrolled across eight participating medical centers. Baseline clinical characteristics were systematically collected, and all patients underwent CMR examination 5-7 days after PCI to assess myocardial injury and functional parameters. The primary composite endpoint, MACE, included cardiovascular death, recurrent myocardial infarction, hospitalization for heart failure, and unplanned revascularization.
To ensure robust model development and validation, the study assigned patients from four centers to form the development cohort, while those from the other four centers constituted the external validation cohort. Predictive variables were initially screened using least absolute shrinkage and selection operator (LASSO) regression, followed by multivariable Cox proportional hazards regression to identify independent predictors. A nomogram was subsequently constructed to provide individualized risk stratification. Model performance was evaluated in terms of discrimination (C-index, ROC analysis), calibration (calibration curves), and clinical utility (decision curve analysis).
This study aims to develop a CMR-based prediction model to better identify high-risk STEMI patients, providing clinicians with valuable tools for early intervention and personalized management.
Study:
NCT07057492
Study Brief:
Protocol Section:
NCT07057492