Purpose: The objective of the study was to provide comprehensive information for the clinical nurse specialist (CNS) on commonly used clinical prediction (risk assessment) tools used to estimate risk of a secondary cardiac or noncardiac event and mortality in patients undergoing primary percutaneous coronary intervention (PCI) for ST-elevation myocardial infarction (STEMI). Background: The evolution and widespread adoption of primary PCI represent major advances in the treatment of acute myocardial infarction, specifically STEMI. The American College of Cardiology and the American Heart Association have recommended early risk stratification for patients presenting with acute coronary syndromes using several clinical risk scores to identif...
ObjectivesThis study sought to develop a practical risk score to predict the risk of stent thrombosi...
Aims To demonstrate the feasibility and clinical utility of developing dynamic risk assessment model...
BACKGROUND: Whether bleeding and myocardial infarction (MI) improve the performance of risk predicti...
Considerable variability in survival rate after an acute myocardial infarction exists and accurate r...
OBJECTIVES: We sought to develop a simple risk score for predicting mortality after primary percutan...
Introduction: Patients with ST elevation acute myocardial infarction (STEMI) comprise a heterogeneou...
Introduction: Primary percutaneous coronary intervention (pPCI) presents standard treatment in patie...
This article reviews the current risk assessment models available for patients presenting with myoca...
Aim of study: PHASE 1: To identify those clinical and simple anatomical variables that could predic...
<p><strong>Introduction:</strong> Use of risk scoring systems in patients with acute coronary syndro...
ObjectivesThis study sought to develop a tool for predicting an individual's risk of mortality follo...
The risk scores developed for the prediction of an adverse outcome in patients after ST-segment elev...
ObjectivesWe sought to develop a simple risk score for predicting mortality after primary percutaneo...
Background: Coronary heart disease is one of the most common causes of hospitalization and premature...
BACKGROUND: Whether bleeding and myocardial infarction (MI) improve the performance of risk predicti...
ObjectivesThis study sought to develop a practical risk score to predict the risk of stent thrombosi...
Aims To demonstrate the feasibility and clinical utility of developing dynamic risk assessment model...
BACKGROUND: Whether bleeding and myocardial infarction (MI) improve the performance of risk predicti...
Considerable variability in survival rate after an acute myocardial infarction exists and accurate r...
OBJECTIVES: We sought to develop a simple risk score for predicting mortality after primary percutan...
Introduction: Patients with ST elevation acute myocardial infarction (STEMI) comprise a heterogeneou...
Introduction: Primary percutaneous coronary intervention (pPCI) presents standard treatment in patie...
This article reviews the current risk assessment models available for patients presenting with myoca...
Aim of study: PHASE 1: To identify those clinical and simple anatomical variables that could predic...
<p><strong>Introduction:</strong> Use of risk scoring systems in patients with acute coronary syndro...
ObjectivesThis study sought to develop a tool for predicting an individual's risk of mortality follo...
The risk scores developed for the prediction of an adverse outcome in patients after ST-segment elev...
ObjectivesWe sought to develop a simple risk score for predicting mortality after primary percutaneo...
Background: Coronary heart disease is one of the most common causes of hospitalization and premature...
BACKGROUND: Whether bleeding and myocardial infarction (MI) improve the performance of risk predicti...
ObjectivesThis study sought to develop a practical risk score to predict the risk of stent thrombosi...
Aims To demonstrate the feasibility and clinical utility of developing dynamic risk assessment model...
BACKGROUND: Whether bleeding and myocardial infarction (MI) improve the performance of risk predicti...