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001-es BibID:	BIBFORM112164
035-os BibID:	(WoS)000999099400001 (Scopus)85165521540
Első szerző:	SCORE2-Diabetes Working Group
Cím:	SCORE2-Diabetes : 10-year cardiovascular risk estimation in type 2 diabetes in Europe / SCORE2-Diabetes Working Group, ESC Cardiovascular Risk Collaboration
Dátum:	2023
ISSN:	0195-668X
Megjegyzések:	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 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 m(2), 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 m(2), 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.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Prediction model Diabetes Cardiovascular diseases
Megjelenés:	European Heart Journal. - 44 : 28 (2023), p. 2544-2556. -
További szerzők:	Sándor János (1966-) (orvos-epidemiológus) Gáll Tibor (1969-) (egészségügyi menedzser) ESC Cardiovascular Risk Collaboration
Pályázati támogatás:	British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946) Egyéb BHF Centre of Research Excellence (RE/18/1/34212) Egyéb MR/L003120/1 Egyéb National Institute for Health and Care Research (NIHR) Egyéb Cambridge Biomedical Research Centre (BRC-1215?20014; NIHR203312) Egyéb British United Provident Association (BUPA) Foundation Egyéb educational grant from GlaxoSmithKline Egyéb
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