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- W4292071182 abstract "Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes through the measurement of various biomarker concentrations might contribute to more accurate risk stratification and help to guide more individualized therapeutic strategies, thus improving prognoses. The aim of this article is to provide an overview of the role and applications of cardiac biomarkers in risk stratification and prognostic assessment for patients with myocardial infarction. Although there is no ideal biomarker that can provide prognostic information for risk assessment in patients with AMI, the results obtained in recent years are promising. Several novel biomarkers related to the pathophysiological processes found in patients with myocardial infarction, such as inflammation, neurohormonal activation, myocardial stress, myocardial necrosis, cardiac remodeling and vasoactive processes, have been identified; they may bring additional value for AMI prognosis when included in multi-biomarker strategies. Furthermore, the use of artificial intelligence algorithms for risk stratification and prognostic assessment in these patients may have an extremely important role in improving outcomes." @default.
- W4292071182 created "2022-08-17" @default.
- W4292071182 creator A5021681103 @default.
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- W4292071182 creator A5088176838 @default.
- W4292071182 creator A5091905888 @default.
- W4292071182 date "2022-08-15" @default.
- W4292071182 modified "2023-10-11" @default.
- W4292071182 title "From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction" @default.
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