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Stroke risk prediction model: a risk profile from the Korean study
Sun Ha Jee1, Ji Wan Park, Sang-Yi Lee
1Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Atherosclerosis
|June 26, 2007
Summary
A new Korean Stroke Risk Prediction (KSRP) model accurately identifies individuals at high risk for stroke. This tool aids in targeted prevention strategies for the Korean population.
Area of Science:
- Epidemiology
- Cardiovascular Disease Research
- Health Informatics
Background:
- Stroke remains a leading cause of disability and mortality globally.
- Accurate risk prediction is crucial for implementing timely preventive interventions.
Purpose of the Study:
- To develop and validate a stroke risk prediction model specifically for the Korean population.
- To identify high-risk individuals for targeted stroke prevention efforts.
Main Methods:
- Prospective cohort study involving 1,223,740 Koreans aged 30-84 years.
- Utilized Cox proportional Hazard Model and split-half validation on 47,233 stroke events over 13 years.
- Developed the Korean Stroke Risk Prediction (KSRP) model for both men and women.
Main Results:
- The KSRP model demonstrated high discrimination in predicting stroke risk (AUC 0.8165 for men, 0.8095 for women).
- A strong graded association was observed between predicted and actual stroke events in both sexes.
- Average 10-year stroke risk was 3.52% for men and 3.66% for women.
Conclusions:
- The KSRP model is a reliable tool for predicting stroke risk in the Korean population.
- The model can effectively identify high-risk groups, facilitating focused public health interventions.
- This tool supports personalized medicine approaches in stroke prevention.
