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SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

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SCORE2 working group and ESC Cardiovascular risk collaboration ; Tybjærg-Hansen, Anne . / SCORE2 risk prediction algorithms : new models to estimate 10-year risk of cardiovascular disease in Europe. I: European Heart Journal. 2021 ; Bind 42, Nr. 25. s. 2439-2454.

Bibtex

@article{e6bc9766550c4f2db69a497b3509e1ce,
title = "SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe",
abstract = "AIMS: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.METHODS AND RESULTS : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.CONCLUSION : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.",
keywords = "Risk prediction, Cardiovascular disease, Primary prevention, 10-year CVD risk",
author = "{SCORE2 working group and ESC Cardiovascular risk collaboration} and Anne Tybj{\ae}rg-Hansen",
note = "Published on behalf of the European Society of Cardiology. All rights reserved. {\textcopyright} The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.",
year = "2021",
month = jul,
day = "1",
doi = "10.1093/eurheartj/ehab309",
language = "English",
volume = "42",
pages = "2439--2454",
journal = "European Heart Journal",
issn = "0195-668X",
publisher = "Oxford University Press",
number = "25",

}

RIS

TY - JOUR

T1 - SCORE2 risk prediction algorithms

T2 - new models to estimate 10-year risk of cardiovascular disease in Europe

AU - SCORE2 working group and ESC Cardiovascular risk collaboration

A2 - Tybjærg-Hansen, Anne

N1 - Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

PY - 2021/7/1

Y1 - 2021/7/1

N2 - AIMS: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.METHODS AND RESULTS : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.CONCLUSION : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.

AB - AIMS: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.METHODS AND RESULTS : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.CONCLUSION : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.

KW - Risk prediction

KW - Cardiovascular disease

KW - Primary prevention

KW - 10-year CVD risk

U2 - 10.1093/eurheartj/ehab309

DO - 10.1093/eurheartj/ehab309

M3 - Journal article

C2 - 34120177

VL - 42

SP - 2439

EP - 2454

JO - European Heart Journal

JF - European Heart Journal

SN - 0195-668X

IS - 25

ER -

ID: 66432312