Coronary artery ectasia prediction: the role of the Intermountain Risk Score in identifying patients at risk

Area of Science:

• Cardiology
• Risk Stratification
• Predictive Analytics

Background:

• Coronary artery ectasia (CAE) is a condition requiring accurate risk assessment.
• The Intermountain Risk Score (IMRS) is a validated tool for predicting cardiovascular events.
• Evaluating the IMRS's utility in predicting CAE is crucial for clinical practice.

Purpose of the Study:

• To assess the association between the Intermountain Risk Score (IMRS) and coronary artery ectasia (CAE).
• To determine the predictive value of the IMRS for identifying patients with CAE.

Main Methods:

• Retrospective study of 446 patients (226 with CAE, 220 controls) from January 2019 to January 2024.
• Analysis of clinical, laboratory, and angiographic data, with IMRS calculated from routine parameters.
• Logistic regression and receiver operating characteristic (ROC) curve analysis were employed.

Main Results:

• Patients with CAE exhibited significantly higher IMRS scores (p=0.011) and were more likely to be in high-risk IMRS categories (p=0.002).
• Independent predictors identified included smoking (HR: 3.744), mean corpuscular volume (HR: 1.105), and IMRS color category (HR: 5.255).
• ROC analysis yielded an AUC of 0.617 for IMRS score and 0.627 for IMRS color category.

Conclusions:

• The IMRS demonstrates significant predictive value for coronary artery ectasia.
• The IMRS can serve as a practical tool for risk stratification in patients with or at risk for CAE.
• Further prospective studies are recommended to validate these findings and refine clinical application.