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Background
Type-2 diabetes is one of the significant risk factors for cardiovascular disease, a prevalent cause of mortality worldwide. In high-income countries, type-2 diabetes is believed to double the risk of cardiovascular disease.

Many of the models for risk prediction estimate the 10-year risk of cardiovascular disease for an individual by considering the diabetes status along with conventional risk factors such as the levels of total and high-density lipoprotein cholesterol, smoking behavior, age, and systolic blood pressure.

Furthermore, many published risk assessment models have begun including diabetes-specific parameters such as glycated hemoglobin (HbA1c), kidney function markers, and the age of diabetes diagnosis in assessing cardiovascular disease risk.

However, because many of these risk predictors have been developed based on the results of interventional trials or observational studies, they have not been statistically adapted to account for the varying rates of cardiovascular disease across Europe.

Results
The results indicated that the recalibrated SCORE2-Diabetes risk prediction model improved the identification of increased cardiovascular disease risk across the varied risk regions of Europe. The recalibration resulted in a three to four-times better estimation of cardiovascular disease for a set of risk factors.