Cardiovascular risk prediction model for Omanis with type 2 diabetes

Area of Science:

• Cardiology
• Endocrinology
• Public Health

Background:

• No existing cardiovascular risk assessment tools are tailored for Arabian populations, including Omanis.
• Type 2 diabetes significantly increases cardiovascular disease (CVD) risk.

Purpose of the Study:

• To develop a specific cardiovascular risk prediction model for Omani individuals with type 2 diabetes.
• To create a statistical equation for estimating 5-year CVD risk.

Main Methods:

• A retrospective cohort study involving 2039 Omani patients with type 2 diabetes.
• Patients were followed from 2009-2010 until December 2015 for cardiovascular events or death.

Main Results:

• 192 cardiovascular events occurred during a mean 5.3-year follow-up.
• A 5-year CVD risk equation was derived: 1-0.9991^{Exp(0.038*age + 0.052*DM duration + 0.102*HbA1c + 0.201*total cholesterol + 0.912*albuminuria + 0.166*hypertension + 0.005*BMI)}.

Conclusions:

• The study presents the first cardiovascular risk prediction tool developed in the Arab world.
• This model can estimate 5-year CVD risk in Omani type 2 diabetes patients for improved management.
• Further validation studies are necessary to confirm the model's accuracy.