Common clinical practice versus new PRIM score in predicting coronary heart disease risk

Area of Science:

• Cardiology
• Public Health
• Epidemiology

Background:

• Coronary heart disease (CHD) poses a significant global health burden.
• Accurate risk stratification is crucial for effective prevention strategies.
• Existing risk assessment tools, like the Framingham Point Score, may have limitations.

Purpose of the Study:

• To compare the efficacy of the new Patient Rule Induction Method (PRIM) Score against the Framingham Point Score for classifying coronary heart disease (CHD) risk.
• To evaluate the performance of these scores across different demographic and clinical subgroups.

Main Methods:

• The study analyzed data from 11,444 participants in the Copenhagen City Heart Study.
• Gender-specific cumulative incidences and 10-year absolute CHD risks were calculated.
• Participants were categorized based on age, cholesterol levels, blood pressure, diabetes, and smoking status.

Main Results:

• The PRIM Score identified seven distinct risk subsets for both men and women.
• PRIM identified higher proportions of women (11%) and men (31%) with a 10-year CHD risk exceeding 20% compared to the Framingham Point Score (4% and 35%, respectively).
• In women aged 65 and older with hypertension and/or diabetes, PRIM indicated a 100% 10-year CHD risk, whereas the Framingham Point Score identified only 18%.

Conclusions:

• The PRIM Score demonstrates superior performance in identifying individuals at high risk for coronary heart disease compared to the Framingham Point Score.
• Clinical practice using the Framingham Point Score may underestimate CHD risk, particularly in women, especially those aged 65 and older with hypertension and/or diabetes.