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

European Heart Journal

29 May 2023
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ESC Journals CARDIOVASCULAR DISEASE IN SPECIFIC POPULATIONS PREVENTIVE CARDIOLOGY Risk Factors and Prevention

Abstract

AbstractAims

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 recalibrated to CVD incidence in four European risk regions. External validation included 217 036 further individuals (38 602 CVD events), and showed good discrimination, and improvement over SCORE2 (C-index change from 0.009 to 0.031). Regional calibration was satisfactory. SCORE2-Diabetes risk predictions varied several-fold, depending on individuals’ levels of diabetes-related factors. For example, in the moderate-risk region, the estimated 10-year CVD risk was 11% for a 60-year-old man, non-smoker, with type 2 diabetes, average conventional risk factors, HbA1c of 50 mmol/mol, eGFR of 90 mL/min/1.73 m2, and age at diabetes diagnosis of 60 years. By contrast, the estimated risk was 17% in a similar man, with HbA1c of 70 mmol/mol, eGFR of 60 mL/min/1.73 m2, and age at diabetes diagnosis of 50 years. For a woman with the same characteristics, the risk was 8% and 13%, respectively.

Conclusion

SCORE2-Diabetes, a new algorithm developed, calibrated, and validated to predict 10-year risk of CVD in individuals with type 2 diabetes, enhances identification of individuals at higher risk of developing CVD across Europe.

Contributors

Lisa Pennells
Lisa Pennells

Author

University of Cambridge Cambridge , United Kingdom of Great Britain & Northern Ireland

Zhe Xu
Zhe Xu

Author

Peter Rossing
Peter Rossing

Author

Steno Diabetes Center, Copenhagen Herlev , Denmark

Yong Du
Yong Du

Author

Martin Halle
Martin Halle

Author

Technical University of Munich Munich , Germany

Jannick A N Dorresteijn
Jannick A N Dorresteijn

Author

University Medical Center Utrecht Utrecht , Netherlands (The)

William Herrington
William Herrington

Author

University of Oxford Oxford , United Kingdom of Great Britain & Northern Ireland

Emanuele Di Angelantonio
Emanuele Di Angelantonio

Author

University of Cambridge Cambridge , United Kingdom of Great Britain & Northern Ireland

Yong Du
Yong Du

Author