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000277888 1001_ $$aGroup, SCORE2-Diabetes Working$$b0
000277888 245__ $$aSCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe.
000277888 260__ $$aOxford$$bOxford University Press$$c2023
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000277888 520__ $$aTo develop and validate a recalibrated prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes in Europe.SCORE2-Diabetes was developed by extending SCORE2 algorithms using individual-participant data from four large-scale datasets comprising 229 460 participants (43 706 CVD events) with type 2 diabetes and without previous CVD. Sex-specific competing risk-adjusted models were used including conventional risk factors (i.e. age, smoking, systolic blood pressure, total, and HDL-cholesterol), as well as diabetes-related variables (i.e. age at diabetes diagnosis, glycated haemoglobin [HbA1c] and creatinine-based estimated glomerular filtration rate [eGFR]). Models were recalibrated to CVD incidence in four European risk regions. External validation included 217 036 further individuals (38 602 CVD events), and showed good discrimination, and improvement over SCORE2 (C-index change from 0.009 to 0.031). Regional calibration was satisfactory. SCORE2-Diabetes risk predictions varied several-fold, depending on individuals' levels of diabetes-related factors. For example, in the moderate-risk region, the estimated 10-year CVD risk was 11% for a 60-year-old man, non-smoker, with type 2 diabetes, average conventional risk factors, HbA1c of 50 mmol/mol, eGFR of 90 mL/min/1.73 m2, and age at diabetes diagnosis of 60 years. By contrast, the estimated risk was 17% in a similar man, with HbA1c of 70 mmol/mol, eGFR of 60 mL/min/1.73 m2, and age at diabetes diagnosis of 50 years. For a woman with the same characteristics, the risk was 8% and 13%, respectively.SCORE2-Diabetes, a new algorithm developed, calibrated, and validated to predict 10-year risk of CVD in individuals with type 2 diabetes, enhances identification of individuals at higher risk of developing CVD across Europe.
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000277888 650_7 $$2Other$$aCardiovascular diseases
000277888 650_7 $$2Other$$aDiabetes
000277888 650_7 $$2Other$$aPrediction model
000277888 650_7 $$2NLM Chemicals$$aGlycated Hemoglobin
000277888 650_2 $$2MeSH$$aMale
000277888 650_2 $$2MeSH$$aFemale
000277888 650_2 $$2MeSH$$aHumans
000277888 650_2 $$2MeSH$$aMiddle Aged
000277888 650_2 $$2MeSH$$aDiabetes Mellitus, Type 2: complications
000277888 650_2 $$2MeSH$$aDiabetes Mellitus, Type 2: epidemiology
000277888 650_2 $$2MeSH$$aCardiovascular Diseases: epidemiology
000277888 650_2 $$2MeSH$$aCardiovascular Diseases: etiology
000277888 650_2 $$2MeSH$$aRisk Factors
000277888 650_2 $$2MeSH$$aGlycated Hemoglobin
000277888 650_2 $$2MeSH$$aEurope: epidemiology
000277888 650_2 $$2MeSH$$aHeart Disease Risk Factors
000277888 7001_ $$athe ESC Cardiovascular Risk Collaboration$$b1$$eCollaboration Author
000277888 7001_ $$aPennells, Lisa$$b2$$eContributor
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