Key result
SCORE2-diabetes improves cardiovascular risk discrimination over SCORE by reclassifying ~36% into lower risk groups.
Why the study?
Does the SCORE2-diabetes algorithm improve cardiovascular risk discrimination compared to the SCORE algorithm in patients with type 2 diabetes?
Cross-Sectional (n=360)
No
Does the SCORE2-diabetes algorithm improve cardiovascular risk discrimination compared to the SCORE algorithm in patients with type 2 diabetes?
SCORE2-diabetes provides better discrimination of cardiovascular risk than the traditional SCORE model in patients with type 2 diabetes, potentially optimizing personalized treatment and reducing therapeutic inertia.
A BSTRACT Introduction and Objectives: Cardiovascular diseases are the leading cause of mortality worldwide, with the risk being exacerbated in patients with type 2 diabetes mellitus (T2DM). Traditionally, the Systematic coronary risk evaluation (SCORE) system has been used to estimate the 10-year risk of fatal cardiovascular events. However, in 2023, the European Society of Cardiology introduced SCORE2-Diabetes, a diabetes-specific model that incorporates disease-related variables. This study aimed to compare the cardiovascular risk estimates from the SCORE and SCORE2-diabetes algorithms in patients with type 2 diabetes in primary care, assessing adherence to Low-density Lipoprotein (LDL) therapeutic targets and the impact on cardiovascular risk management. Methods: This cross-sectional study evaluated 360 diabetic patients aged 40-65 years in a primary care unit in northern Portugal, comparing the cardiovascular risk estimated by the SCORE and SCORE2-diabetes models. Results: The results showed that the SCORE model classified 95% of patients as high risk and 5% as very high risk, while the SCORE2-diabetes model categorized patients into four groups: 6% low risk, 30% moderate, 57% high, and 7% very high risk. Additionally, 58% of patients did not meet LDL therapeutic targets by SCORE2-Diabetes. Conclusions: The findings suggest that SCORE2-diabetes provides better discrimination of cardiovascular risk, allowing for more personalized treatment. Its integration into clinical systems could optimize decision-making, reduce therapeutic inertia, and improve clinical outcomes in patients with T2DM.
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Leite et al. (2026) conducted a cross-sectional in Type 2 diabetes mellitus (n=360). SCORE2-diabetes algorithm vs. SCORE algorithm was evaluated on Cardiovascular risk classification. The SCORE2-diabetes model categorized patients into four risk groups (6% low, 30% moderate, 57% high, 7% very high), providing better discrimination than the SCORE model (95% high, 5% very high).
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