Development of a Novel Risk-Prediction Tool for Emergency Department Patients with Symptoms of Coronary Artery...

Area of Science:

• Cardiology
• Emergency Medicine
• Health Services Research

Background:

• Over 600,000 Canadians visit the ED annually for chest pain, with 85% not having acute coronary syndromes (ACS).
• Many low-risk patients are referred for outpatient cardiac testing, leading to low-value care and limited access for high-risk individuals.
• Current risk tools, developed before high-sensitivity troponin assays, overestimate risk in ED patients with low troponin levels.

Purpose of the Study:

• To derive and validate a novel risk prediction tool for emergency department patients presenting with chest pain.
• To accurately identify low-risk patients who do not require further cardiac testing.
• To improve the appropriate referral of chest pain patients from the ED.

Main Methods:

• A multicentre prospective cohort study enrolling 6500 patients across 13 Canadian EDs.
• Prospective follow-up to ascertain major adverse cardiac events (MACE) within 30 days of the index ED encounter.
• Development and validation of a new risk prediction tool using data from enrolled patients.

Main Results:

• The study aims to develop a tool to differentiate low-risk from potentially higher-risk chest pain patients.
• The tool will be validated to ensure accuracy in predicting 30-day MACE.
• Expected outcome is a reliable instrument for guiding further cardiac testing decisions.

Conclusions:

• A novel risk prediction tool is needed to optimize the management of chest pain patients in the ED.
• The developed tool will guide safe and efficient referral decisions, reducing unnecessary testing.
• This will enhance healthcare resource utilization and patient access to appropriate cardiac evaluations.