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- May 12, 2008 |
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CME on Diabetes is a website built to transmit top-level CME conferences given by international experts in endocrinology, insulin resistance, prediabetes, metabolic syndrome and type 2 diabetes. More than 2.6 million slides have been viewed since the website launch. Thank you for your continued support and commitment!
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"A Simple Tool to Predict the Risk of Cardiovascular Events in Patients with Diabetes Mellitus based on the Acarbose Meta-Analysis (MERIA)"Prof. Jaakko Tuomilehto (biography)
English - 2005-04-15 - 23 minutes
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Summary :
OBJECTIVES: Different tools for the estimation of individual risk of cardiovascular diseases (CVD) in patients with diabetes mellitus (DM) exist. Our aim was to develop a risk score to predict the risk of CVD in patients with DM. In addition the score can estimate the risk reduction following acarbose treatment.
METHODS: The MERIA study showed that treatment with acarbose can prevent cardiovascular disease in diabetic patients while most of them are already on intensive concomitant cardiovascular medication. We used data from this study to develop Cox regression models for the time to onset of CVD. The final model equation was externally validated using data from the DECODE study.
RESULTS: The CVD risk-score equation included the variables acarbose treatment, sex, age, BMI, duration of diabetes and the ratio of low density lipoproteins and high density lipoproteins. A summary measure of discriminatory performance (mean sensitivity or specificity) is the area under the ROC curve (AUC). The CVD risk-score yielded an AUC value of 0.76 on the MERIA sample and resulted in an AUC of 0.74 on the DECODE sample.
CONCLUSIONS: The proposed risk score is a simple and validated tool to estimate the individual risk of CVD. High-risk diabetes patients would benefit most from CVD prevention strategies. Moreover, the risk score can estimate the reduction in CVD risk following acarbose treatment.
Learning objectives :
After viewing this presentation, participants will be able to discuss:
- Data from the Acarbose meta analysis study (MERIA);
- Development of a multivariable Cox regression model to determine onset of cardiovascular disease;
- Data from the DECODE study (Diabetes Epidemiology : Collaborative analysis Of Diagnostic criteria in Europe)
Bibliographic references :
M. Hanefeld, M. Cagatay, T. Petrowitsch, D. Neuser, D. Petzinna, and M. Rupp Acarbose reduces the risk for myocardial infarction in type 2 diabetic patients: meta-analysis of seven long-term studies Eur. Heart J., January 2004; 25: 10 - 16.
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