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Sensitivity of Framingham, Procam and Score models in Turkish people with type 2 diabetes: comparison of three cardiovascular risk calculations

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SCHOOL OF NURSING
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Çevik, Ayfer Bayındır

Satman, İlhan

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Purpose: To determine the cardiovascular risk factors according to the Framingham, PROCAM and SCORE models, to evaluate the 10-year cardiovascular disease (CVD) risk factors, and to compare the suitability of different models in Turkish Type 2 diabetes patients.Methods: Risk factors and the 10-year CVD risk in 265 patients were evaluated using three risk models. Measurements included blood pressure, weight, height, waist and hip circumferences. Cholesterol, triglycerides, fasting and postprandial plasma glucose and HbA(1c) were measured. Low-, moderate- and high-risk groups were determined according to the three risk calculations.Results: Hypertension, obesity and no exercise, dyslipidemia and high HbA(1c) in women, and excessive cigarette/alcohol consumption, increased weight, dyslipidemia and high HbA1c in men were crucial. Men were in the moderate-risk group according to three risk models. Women were in the medium-risk group according to the Framingham and PROCAM risks and in the low-risk group according to the SCORE.Conclusion: Results estimating the 10-year CVD according to the three risk models were inconsistent. More sensitive CVD risk calculators are needed.Discussion and practice implications: Our results could guide diabetes specialists in identifying gender-specific risks and designing preventive interventions.

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Contemporary Nurse

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10.1080/10376178.2015.1111153

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03 - Good Health and Well-being
Over the last 15 years, the number of childhood deaths has been cut in half. This proves that it is possible to win the fight against almost every disease. Still, we are spending an astonishing amount of money and resources on treating illnesses that are surprisingly easy to prevent. The new goal for worldwide Good Health promotes healthy lifestyles, preventive measures and modern, efficient healthcare for everyone.
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