Literature DB >> 24002125

The Systematic COronary Risk Evaluation (SCORE) in a large UK population: 10-year follow-up in the EPIC-Norfolk prospective population study.

Harald T Jørstad1, Ersen B Colkesen2, Madelon Minneboo3, Ron J G Peters3, S Matthijs Boekholdt3, Jan G P Tijssen3, Nicholas J Wareham4, Kay-Tee Khaw5.   

Abstract

BACKGROUND: The European Society of Cardiology endorses cardiovascular disease (CVD) risk stratification using the Systematic COronary Risk Evaluation (SCORE) algorithm, with separate algorithms for high-risk and low-risk countries. In the 2012 European Guidelines on CVD Prevention in Clinical Practice, the UK has been reclassified as a low-risk country. However, the performance of the SCORE algorithm has not been validated in the UK.
DESIGN: We compared CVD mortality as predicted by SCORE with the observed CVD mortality in the European Prospective Investigation of Cancer-Norfolk (EPIC-Norfolk) prospective population study, a cohort representative of the general population.
METHODS: Individuals without known CVD or diabetes mellitus, aged 39-65 years at baseline, were included in our analysis. CVD mortality was defined as death due to ischaemic heart disease, cardiac failure, cerebrovascular disease, peripheral artery disease and aortic aneurysm. Predicted CVD mortality was calculated at baseline using the SCORE high-risk and low-risk algorithms.
RESULTS: A total of 15,171 individuals (57.1% female) with a mean age of 53.9 (SD 6.2) years were included. Predicted CVD mortality was 2.85% (95% confidence interval (CI) 2.80-2.90) with the SCORE high-risk algorithm and 1.55% (95% CI 1.52-1.58) with the low-risk algorithm. The observed 10-year CVD mortality was 1.25% (95% CI 1.08-1.44). Similar results were observed across sex and age subgroups.
CONCLUSION: In the large EPIC-Norfolk cohort representative of the UK population, the SCORE low-risk algorithm performed better than the high-risk algorithm in predicting 10-year CVD mortality. Our findings indicate that the UK has been correctly reclassified as a low-risk country. © The European Society of Cardiology 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  Cardiovascular diseases; algorithms; risk factors

Mesh:

Year:  2013        PMID: 24002125     DOI: 10.1177/2047487313503609

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  7 in total

1.  Carotid stiffening predicts cardiovascular risk stratification in mid-life: non-invasive quantification with ultrafast ultrasound imaging.

Authors:  Zhengqiu Zhu; Lingshan Chen; Wenjun Liu; Yiyun Wu; Chong Zou; Xinyi Zhang; Shanshan He; Yinping Wang; Bixiao Shen; Xuehui Ma; Hui Gao; Yun Luan; Hui Huang
Journal:  Ultrasonography       Date:  2021-11-01

2.  Prediction of Cardiovascular Disease Mortality in a Middle Eastern Country: Performance of the Globorisk and Score Functions in Four Population-Based Cohort Studies of Iran.

Authors:  Noushin Fahimfar; Akbar Fotouhi; Mohammad Ali Mansournia; Reza Malekzadeh; Nizal Sarrafzadegan; Fereidoun Azizi; Marjan Mansourian; Sadaf G Sepanlou; Mohammad Hassan Emamian; Farzad Hadaegh; Hamidreza Roohafza; Hassan Hashemi; Hossein Poustchi; Akram Pourshams; Tahereh Samavat; Maryam Sharafkhah; Mohammad Talaei; David Van Klaveren; Ewout W Steyerberg; Davood Khalili
Journal:  Int J Health Policy Manag       Date:  2022-02-01

3.  The high-density lipoprotein-adjusted SCORE model worsens SCORE-based risk classification in a contemporary population of 30,824 Europeans: the Copenhagen General Population Study.

Authors:  Martin B Mortensen; Shoaib Afzal; Børge G Nordestgaard; Erling Falk
Journal:  Eur Heart J       Date:  2015-06-16       Impact factor: 29.983

4.  Comparison of validation and application on various cardiovascular disease mortality risk prediction models in Chinese rural population.

Authors:  Changqing Sun; Fei Xu; Xiaotian Liu; Mingwang Fang; Hao Zhou; Yixiao Lian; Chen Xie; Nan Sun; Chongjian Wang
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

5.  The Dutch SCORE-based risk charts seriously underestimate the risk of cardiovascular disease.

Authors:  H T Jørstad; S M Boekholdt; N J Wareham; K T Khaw; R J G Peters
Journal:  Neth Heart J       Date:  2017-03       Impact factor: 2.380

6.  Skin autofluorescence assessment of cardiovascular risk in people with severe mental illness.

Authors:  Daniëlle Emmerink; Sybiel Bakker; Thomas Van Bemmel; Eric O Noorthoorn; Paul Naarding
Journal:  BJPsych Open       Date:  2018-07-25

7.  Estimated 10-year cardiovascular mortality seriously underestimates overall cardiovascular risk.

Authors:  Harald T Jørstad; Ersen B Colkesen; S Matthijs Boekholdt; Jan G Tijssen; Nicholas J Wareham; Kay-Tee Khaw; Ron J Peters
Journal:  Heart       Date:  2015-08-10       Impact factor: 5.994

  7 in total

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