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The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and
Che Muhammad Nur Hidayat Che Nawi1, Mohd Azahadi Omar2, Thomas Keegan3
1Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
This study applied the Globorisk calculator to Malaysian adults, revealing significant variations in 10-year cardiovascular disease (CVD) risk based on sex, ethnicity, and state. The findings highlight the need for tailored public health strategies to manage CVD risk effectively.
Area of Science:
- Public Health
- Epidemiology
- Cardiovascular Disease Risk Prediction
Background:
- Cardiovascular disease (CVD) poses a significant global health burden.
- Risk prediction models are crucial for identifying individuals at high risk.
- The Globorisk calculator is a validated tool for CVD risk assessment.
Purpose of the Study:
- To apply the Globorisk calculator to the Malaysian adult population.
- To determine overall, sex-specific, ethnic-specific, region-specific, and state-specific 10-year CVD risk.
- To stratify CVD risk into low and high-risk categories.
Main Methods:
- Utilized data from 8253 participants of the Malaysian National Health and Morbidity Survey (NHMS 2015).
- Calculated laboratory-based and office-based 10-year CVD risk scores (fatal and fatal plus non-fatal).
- Stratified risk by sex, ethnicity, region, and state.
Main Results:
- Average 10-year risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD, and office-based fatal plus non-fatal CVD were 0.07, 0.14, and 0.11, respectively.
- Substantial differences in Globorisk scores were observed when stratified by sex, ethnicity, and state.
- Participants were categorized into low (<10%), high A (≥10%), high B (≥20%), and high C (≥30%) risk groups.
Conclusions:
- The application of the Globorisk model in Malaysia revealed significant variations in CVD risk across different demographic groups.
- Sex, ethnicity, and geographic location (state) are important factors influencing CVD risk scores in Malaysia.
- These findings underscore the importance of localized risk assessment for targeted public health interventions.
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