ESCORE DE FRAMINGHAM PDF

Moogujar Framingham Risk Score There is a large epidemic of cardiovascular disease today. Learn more about the different existing integrations and their benefits. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. Criteria for evaluation pdf.

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E-mail: moc. This article has been cited by other articles in PMC. Abstract Aim: To study the Framingham cardiovascular risk assessment scores in subjects with diabetes and their association with diabetic retinopathy in subjects with diabetes.

The Framingham cardiovascular risk scores were calculated for subjects with type 2 diabetes. Results: Out of the subjects, The risk of developing CVD was more in males than females The risk factors for developing diabetic retinopathy were similar in both the groups low vs. The additional risk factors in the high-risk group were presence of anemia OR 2. Conclusion: Framingham risk scoring, a global risk assessment tool to predict the year risk of developing CVD, can also predict the occurrence and type of diabetic retinopathy.

Those patients with high CVD scores should be followed up more frequently and treated adequately. Keywords: Cardiovascular disease, diabetes, diabetic retinopathy, framingham risk score Cardiovascular disease CVD is the leading cause of death among individuals with type II diabetes mellitus. Identified diabetics based on the WHO criteria underwent a detailed examination at the base hospital.

A detailed medical and ocular history and a comprehensive eye examination, including stereo fundus photographs, were taken at the base hospital. Biochemical investigations blood sugar, total serum cholesterol, high-density lipoproteins, serum triglycerides, hemoglobin, glycosylated hemoglobin HbA1c were conducted at the base hospital in fasting state.

The year risk for developing CVD was estimated using the Framingham risk scores. Details about this tool are mentioned elsewhere.

Statistical analysis SPSS version The data were normally distributed. A test of significance such as chi-square test was performed for comparison of prevalence in of low and high risk for developing CVD. Univariate and stepwise multivariate logistic regression analyses were performed to elucidate the risk factors influencing the presence and severity of DR. The dependent variables were DR and no DR; duration of diabetes, HbA1c, presence of macro and microalbuminuria, use of insulin, etc.

Results Table 1 shows the prevalence of the year risk of developing CVD among type II diabetes mellitus subjects to be The risk of CVD was more in men than women The number of subjects with an increased risk of developing CVD increases up to 70 years 7. The same trend was seen in both genders. Table 1 Open in a separate window Fig.

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