Al Saloum, Ahmad (2025) Echocardiographic Predictors of Cardiac Events and Mortality After ST-Elevation Myocardial Infarction: An AI-Based Analysis of Cardiac Remodeling. thesis, Medicine.
Full text available on request.Abstract
Introduction: Ischemic heart disease is a critical global challenge in healthcare and is among the leading causes of death worldwide. This is partly due to the long-term effects of cardiac remodeling after an infarction, which are often not detected in time. A common complication is the development of heart failure. Problem Statement: After an ST-elevation myocardial infarction (STEMI), 14% to 36% of patients eventually develop heart failure. These patients therefore face a three- to four-fold increased risk of mortality. The aim of our study was to develop a predictive model based on differences of echocardiographic parameters to forecast adverse outcomes in STEMI patients. Method: We included 258 STEMI patients who were treated with percutaneous coronary intervention (PCI). Baseline and follow-up echocardiographic measurements were analyzed using the US2.0 AI tool, evaluating the changes in 20 echocardiographic parameters for their predictive value for heart failure, atrial fibrillation, and all-cause mortality in STEMI patients. Results: The average age in our population was 62 years, and 74.5% of the participants were male. After adjusting for sex and age, a multivariable Cox regression model was identified with a C-index of 0.71 (95% CI 0.63 - 0.79). In that model three echocardiographic changes of the left ventricular ejection fraction (LVEF), left atrial area (LA area), and left ventricular global longitudinal strain (LV GLS) were found to be significant independent predictors of heart failure, atrial fibrillation, and all-cause mortality. Conclusion: Echocardiographic parameters provide significant prognostic value for predicting adverse clinical outcomes. 2
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Lipsic, E. |
| Faculty: | Medical Sciences |
| Date Deposited: | 05 Jan 2026 13:52 |
| Last Modified: | 05 Jan 2026 13:52 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3874 |
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