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Heart failure risk assessment using biomarkers in patients with atrial fibrillation: analysis of 32,041 patients from the COMBINE-AF study

Event: ESC Congress 2024

Topic: Heart Failure in Atrial Fibrillation

Session: The interplay between atrial fibrillation and heart failure: implications for clinicians

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Biomarker-based prediction of fatal and non-fatal cardiovascular outcomes in individuals of the general population with and without diabetes mellitus

Event: ESC Congress 2022

Topic: Epidemiology, Prognosis, Outcome

Session: Coronary artery disease - Epidemiology, prognosis, outcome 5

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Characteristics and outcomes of patients with suspected acute myocardial infarction according to rising and falling patterns of high-sensitive cardiac troponin

Event: ESC Congress 2020

Topic: Biomarkers

Session: Acute Coronary Syndromes ePosters

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The association of anemia with high-sensitive cardiac troponin and its influence on the ESC 0/1h and 0/3h algorithms to triage patients with suspected acute myocardial infarction

Event: ESC Congress 2020

Topic: Biomarkers

Session: Acute Coronary Syndromes ePosters

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Performance of the ESC 0/1h- and 0/3h-algorithm for the early diagnosis of myocardial infarction in patients with diabetes mellitus

Event: ESC Congress 2019

Topic: Biomarkers

Session: Cardiac troponins and other biomarkers in acute coronary syndromes

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Changes in extracellular vesicles during and after STEMI and potential influences of remote ischemic conditioning

Event: ESC Congress 2019

Topic: Microvesicles, Exosomes

Session: Extracellular vesicles and cell communication in cardiovascular disease

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The expression of pro-coagulatory endothelial- and monocyte derived extracellular vesicles in patients with coronary artery disease differs depending on the presence of certain cardiovascular risk fac

Event: Frontiers in CardioVascular Biology 2018

Topic: Microvesicles, Exosomes

Session: Extracellular vesicles for cardiovascular repair

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Peak creatine kinase and cardiac troponin I levels and dual time point myocardial SPECT CT

Event: Acute Cardiovascular Care 2018

Topic: Acute Coronary Syndromes: Post-Infarction Period

Session: Biomarkers

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Increased frailty due to myocardial infarction is an independent predictor of long-term survival in patients with acute myocardial infarction

Event: Acute Cardiovascular Care 2018

Topic: Acute Coronary Syndromes – Epidemiology, Prognosis, Outcome

Session: Prognosis

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New frailty assessment based on routine nurse anamnesis before discharge is a strong predictor of all-cause mortality in patients with myocardial infarction

Event: ESC Congress 2017

Topic: Risk scores

Session: Age, elderly and cardiovascular disease

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Contributor content

Heart failure risk assessment using biomarkers in patients with atrial fibrillation: analysis of 32,041 patients from the COMBINE-AF study

Biomarker-based prediction of fatal and non-fatal cardiovascular outcomes in individuals of the general population with and without diabetes mellitus

Characteristics and outcomes of patients with suspected acute myocardial infarction according to rising and falling patterns of high-sensitive cardiac troponin

The association of anemia with high-sensitive cardiac troponin and its influence on the ESC 0/1h and 0/3h algorithms to triage patients with suspected acute myocardial infarction

Performance of the ESC 0/1h- and 0/3h-algorithm for the early diagnosis of myocardial infarction in patients with diabetes mellitus

Changes in extracellular vesicles during and after STEMI and potential influences of remote ischemic conditioning

The expression of pro-coagulatory endothelial- and monocyte derived extracellular vesicles in patients with coronary artery disease differs depending on the presence of certain cardiovascular risk fac

Peak creatine kinase and cardiac troponin I levels and dual time point myocardial SPECT CT

Increased frailty due to myocardial infarction is an independent predictor of long-term survival in patients with acute myocardial infarction

New frailty assessment based on routine nurse anamnesis before discharge is a strong predictor of all-cause mortality in patients with myocardial infarction

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