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Estimation of the Long-term Cardiovascular Events Using UKPDS Risk Engine in Metabolic Syndrome Patients.
V Shivakumar1, A D Kandhare1, A R Rajmane1
1Department of Pharmacology, Poona College of Pharmacy, Bharati Vidyapeeth Deemed University, Pune-411 029, India.
Metabolic syndrome patients in India face significant 10-year risks for cardiovascular events like heart disease and stroke. These findings highlight the urgent need for proactive management of metabolic syndrome to prevent serious complications.
Area of Science:
- Cardiology
- Endocrinology
- Public Health
Background:
- Metabolic syndrome poses a major mortality and morbidity risk in India.
- Forecasted cardiovascular risk estimates for Indian metabolic syndrome patients are limited in existing literature.
Purpose of the Study:
- To estimate 10-year cardiovascular event risks in a representative Indian metabolic syndrome population.
- To utilize the United Kingdom Prospective Diabetes Study (UKPDS) risk engine for forecasting.
Main Methods:
- Data from 567 metabolic syndrome patients in Western India were collected via interviews and physician records.
- Patient data were analyzed using the UKPDS risk engine, applying National Cholesterol Education Program - Adult Treatment Panel III (NCEP-ATP III) and International Diabetes Federation (IDF) criteria.
- A 10-year projection was simulated to determine cardiovascular complication risks.
Main Results:
- The projected 10-year absolute risks were: Coronary Heart Disease (CHD) 3.79%, Fatal CHD 9.6%, Stroke 7.91%, Fatal Stroke 3.57%.
- Relative risks were significantly elevated: CHD 17.8, Fatal CHD 7, Stroke 5.9, Fatal Stroke 4.7.
- Simulated projections indicate serious, life-threatening cardiovascular consequences for this cohort.
Conclusions:
- Metabolic syndrome patients in Western India exhibit substantial projected risks for major cardiovascular events over 10 years.
- These findings underscore the critical need for early detection and intervention strategies for metabolic syndrome in India.
- Further research should focus on preventative measures and risk reduction tailored to this population.
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