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Dataset Information

SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe.


ABSTRACT:

Aims

To develop and validate a recalibrated prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes in Europe.

Methods and results

SCORE2-Diabetes was developed by extending SCORE2 algorithms using individual-participant data from four large-scale datasets comprising 229 460 participants (43 706 CVD events) with type 2 diabetes and without previous CVD. Sex-specific competing risk-adjusted models were used including conventional risk factors (i.e. age, smoking, systolic blood pressure, total, and HDL-cholesterol), as well as diabetes-related variables (i.e. age at diabetes diagnosis, glycated haemoglobin [HbA1c] and creatinine-based estimated glomerular filtration rate [eGFR]). Models were recalibrat

SUBMITTER: SCORE2-Diabetes Working Group and the ESC Cardiovascular Risk Collaboration 

PROVIDER: S-EPMC10361012 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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