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Prediction of cardiovascular risk in people with diabetes
1Queen Elizabeth II Hospital, East and North Herts NHS Trust, Welwyn Garden City, UK. peter.winocour@qeii.enherts-tr.nhs.uk
Insights
Standard cardiovascular risk tables often underestimate the risk for people with diabetes. New methods are needed to accurately assess and manage cardiovascular disease risk in this high-risk population.
Area of Science:
- Cardiology
- Diabetology
- Public Health
Background:
- People with diabetes face elevated risks of cardiovascular morbidity and mortality.
- Existing cardiovascular risk prediction tables may not accurately reflect risk in diabetic populations.
- Vascular complications significantly increase the danger for individuals with diabetes.
Purpose of the Study:
- To evaluate the limitations of current cardiovascular risk assessment tools for people with diabetes.
- To explore improved strategies for predicting and managing cardiovascular events in diabetic patients.
- To address the underestimation of cardiovascular risk by standard risk tables in diabetes.
Main Methods:
- Analysis of existing cardiovascular risk prediction tables and their performance in diabetic populations.
- Review of potential modifications to risk assessment, including population-specific tools and additional risk factors.
- Consideration of alternative management strategies, such as universal treatment with statins.
Main Results:
- Standard risk tables often underestimate cardiovascular risk in individuals with diabetes.
- Current risk prediction models may be based on populations with limited diabetic representation.
- Significant underestimation poses a challenge for appropriate preventative treatment decisions.
Conclusions:
- Risk estimation tools need to be specifically validated or developed for populations with diabetes.
- Incorporating additional or novel risk factors may improve risk prediction accuracy.
- Lowering intervention thresholds or universal treatment are potential strategies to mitigate risk in people with diabetes.
Abstract:
People with diabetes are at high risk of cardiovascular morbidity and mortality, especially if they have already developed vascular problems. For patients who are apparently free of vascular complications, risk tables are often used to assess the risk of cardiovascular events in the following years, and to decide on treatment with statins or anti-platelet therapy. These risk prediction tables include estimates of traditional cardiovascular risk factors and are based on populations, some of which only contained a very small number of people with diabetes. Multiple problems can be identified with these tables, and many seriously underestimate cardiovascular risk in people with diabetes. Possible ways of addressing this include using risk estimation tools based solely on diabetic populations, adding in additional traditional variables such as triglycerides or left ventricular hypertrophy, including novel cardiovascular risk factors, or intervening at a lower level of estimated risk in people with diabetes compared with non-diabetic subjects. Alternatively, estimates of individual risk could be abandoned and all people with diabetes could be treated with statins and other effective agents.