In this review we will discuss the pros and cons of each model, their use in clinical practice and the application of the UKPDS risk engine and PHD model in a Mexican population. Specifically, the DECODE (Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe) equation has been shown to have discriminative capacity of 0.67 the UKPDS Risk Engine model is reported to have a sensitivity of around 90% and specificity of 33% and the Diabetes Personal Health Decisions (PHD) in our study had a sensitivity of 67% and specificity of 41%. The algorithms and models that have been designed specifically for the assessment of cardiovascular risk in individuals with diabetes will be the subject of this review. Cardiovascular risk is best evaluated with an estimation that takes into account the individual's characteristics and risk factors. Specifically, the DECODE (Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe) equation has been shown to have discriminative capacity of 0.67 the UKPDS Risk Engine model is reported to have a sensitivity of around 90 and specificity of 33 and the Diabetes Personal Health Decisions (PHD) in our study had a. Nevertheless, the American Diabetes Association has recognized that absolute risk for cardiovascular disease varies among individuals with diabetes and has recommended the use of designed models and algorithms to estimate risk, especially in younger patients (<40 years). Comparison of the Framingham Risk Score, UK Prospective Diabetes Study (UKPDS) Risk Engine, Japanese Atherosclerosis Longitudinal Study-Existing Cohorts. Diabetes itself has been considered a cardiovascular disease equivalent. The presence of traditional and nontraditional risk factors that frequently coexist with type 2 diabetes are associated with this higher cardiovascular risk. Unlike previously published risk equations, the model is.

Prospective Diabetes Study male and female patients. This paper provides an equation for estimating the risk of new CHD events in people with Type II diabetes, based on data from 4540 U.K. Individuals with type 2 diabetes have a two to four fold increased risk for developing cardiovascular disease than persons without diabetes. A definitive model for predicting absolute risk of coronary heart disease (CHD) in male and female people with Type II diabetes is not yet available.

Ukpds risk engine download