The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component

Standard

The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component. / Ferrario, Marco M; Veronesi, Giovanni; Chambless, Lloyd E; Tunstall-Pedoe, Hugh; Kuulasmaa, Kari; Salomaa, Veikko; Borglykke, Anders; Hart, Nigel; Söderberg, Stefan; Cesana, Giancarlo; MORGAM Project.

In: HEART, Vol. 100, No. 15, 08.2014, p. 1179-1187.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Ferrario, MM, Veronesi, G, Chambless, LE, Tunstall-Pedoe, H, Kuulasmaa, K, Salomaa, V, Borglykke, A, Hart, N, Söderberg, S, Cesana, G & MORGAM Project 2014, 'The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component', HEART, vol. 100, no. 15, pp. 1179-1187. https://doi.org/10.1136/heartjnl-2013-304664

APA

Ferrario, M. M., Veronesi, G., Chambless, L. E., Tunstall-Pedoe, H., Kuulasmaa, K., Salomaa, V., Borglykke, A., Hart, N., Söderberg, S., Cesana, G., & MORGAM Project (2014). The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component. HEART, 100(15), 1179-1187. https://doi.org/10.1136/heartjnl-2013-304664

Vancouver

Bibtex

@article{4e8196aa0ce641c59bda3b066d694fe2,
title = "The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component",
abstract = "OBJECTIVE: To assess whether educational class, an index of socioeconomic position, improves the accuracy of the SCORE cardiovascular disease (CVD) risk prediction equation.METHODS: In a pooled analysis of 68 455 40-64-year-old men and women, free from coronary heart disease at baseline, from 47 prospective population-based cohorts from Nordic countries (Finland, Denmark, Sweden), the UK (Northern Ireland, Scotland), Central Europe (France, Germany, Italy) and Eastern Europe (Lithuania, Poland) and Russia, we assessed improvements in discrimination and in risk classification (net reclassification improvement (NRI)) when education was added to models including the SCORE risk equation.RESULTS: The lowest educational class was associated with higher CVD mortality in men (pooled age-adjusted HR=1.64, 95% CI 1.42 to 1.90) and women (HR=1.31, 1.02 to 1.68). In men, the HRs ranged from 1.3 (Central Europe) to 2.1 (Eastern Europe and Russia). After adjustment for the SCORE risk, the association remained statistically significant overall, in the UK and Eastern Europe and Russia. Education significantly improved discrimination in all European regions and classification in Nordic countries (clinical NRI=5.3%) and in Eastern Europe and Russia (NRI=24.7%). In women, after SCORE risk adjustment, the association was not statistically significant, but the reduced number of deaths plays a major role, and the addition of education led to improvements in discrimination and classification in the Nordic countries only.CONCLUSIONS: We recommend the inclusion of education in SCORE CVD risk equation in men, particularly in Nordic and East European countries, to improve social equity in primary prevention. Weaker evidence for women warrants the need for further investigations.",
keywords = "Adult, Cardiovascular Diseases/epidemiology, Educational Status, Europe/epidemiology, Female, Follow-Up Studies, Humans, Male, Middle Aged, Morbidity/trends, Patient Education as Topic/standards, Predictive Value of Tests, Prospective Studies, Risk Assessment/standards, Risk Factors, Socioeconomic Factors, Survival Rate/trends",
author = "Ferrario, {Marco M} and Giovanni Veronesi and Chambless, {Lloyd E} and Hugh Tunstall-Pedoe and Kari Kuulasmaa and Veikko Salomaa and Anders Borglykke and Nigel Hart and Stefan S{\"o}derberg and Giancarlo Cesana and {MORGAM Project} and Stefan Blankenberg and Tanja Zeller",
note = "Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.",
year = "2014",
month = aug,
doi = "10.1136/heartjnl-2013-304664",
language = "English",
volume = "100",
pages = "1179--1187",
journal = "HEART",
issn = "1355-6037",
publisher = "BMJ PUBLISHING GROUP",
number = "15",

}

RIS

TY - JOUR

T1 - The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component

AU - Ferrario, Marco M

AU - Veronesi, Giovanni

AU - Chambless, Lloyd E

AU - Tunstall-Pedoe, Hugh

AU - Kuulasmaa, Kari

AU - Salomaa, Veikko

AU - Borglykke, Anders

AU - Hart, Nigel

AU - Söderberg, Stefan

AU - Cesana, Giancarlo

AU - MORGAM Project

AU - Blankenberg, Stefan

AU - Zeller, Tanja

N1 - Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

PY - 2014/8

Y1 - 2014/8

N2 - OBJECTIVE: To assess whether educational class, an index of socioeconomic position, improves the accuracy of the SCORE cardiovascular disease (CVD) risk prediction equation.METHODS: In a pooled analysis of 68 455 40-64-year-old men and women, free from coronary heart disease at baseline, from 47 prospective population-based cohorts from Nordic countries (Finland, Denmark, Sweden), the UK (Northern Ireland, Scotland), Central Europe (France, Germany, Italy) and Eastern Europe (Lithuania, Poland) and Russia, we assessed improvements in discrimination and in risk classification (net reclassification improvement (NRI)) when education was added to models including the SCORE risk equation.RESULTS: The lowest educational class was associated with higher CVD mortality in men (pooled age-adjusted HR=1.64, 95% CI 1.42 to 1.90) and women (HR=1.31, 1.02 to 1.68). In men, the HRs ranged from 1.3 (Central Europe) to 2.1 (Eastern Europe and Russia). After adjustment for the SCORE risk, the association remained statistically significant overall, in the UK and Eastern Europe and Russia. Education significantly improved discrimination in all European regions and classification in Nordic countries (clinical NRI=5.3%) and in Eastern Europe and Russia (NRI=24.7%). In women, after SCORE risk adjustment, the association was not statistically significant, but the reduced number of deaths plays a major role, and the addition of education led to improvements in discrimination and classification in the Nordic countries only.CONCLUSIONS: We recommend the inclusion of education in SCORE CVD risk equation in men, particularly in Nordic and East European countries, to improve social equity in primary prevention. Weaker evidence for women warrants the need for further investigations.

AB - OBJECTIVE: To assess whether educational class, an index of socioeconomic position, improves the accuracy of the SCORE cardiovascular disease (CVD) risk prediction equation.METHODS: In a pooled analysis of 68 455 40-64-year-old men and women, free from coronary heart disease at baseline, from 47 prospective population-based cohorts from Nordic countries (Finland, Denmark, Sweden), the UK (Northern Ireland, Scotland), Central Europe (France, Germany, Italy) and Eastern Europe (Lithuania, Poland) and Russia, we assessed improvements in discrimination and in risk classification (net reclassification improvement (NRI)) when education was added to models including the SCORE risk equation.RESULTS: The lowest educational class was associated with higher CVD mortality in men (pooled age-adjusted HR=1.64, 95% CI 1.42 to 1.90) and women (HR=1.31, 1.02 to 1.68). In men, the HRs ranged from 1.3 (Central Europe) to 2.1 (Eastern Europe and Russia). After adjustment for the SCORE risk, the association remained statistically significant overall, in the UK and Eastern Europe and Russia. Education significantly improved discrimination in all European regions and classification in Nordic countries (clinical NRI=5.3%) and in Eastern Europe and Russia (NRI=24.7%). In women, after SCORE risk adjustment, the association was not statistically significant, but the reduced number of deaths plays a major role, and the addition of education led to improvements in discrimination and classification in the Nordic countries only.CONCLUSIONS: We recommend the inclusion of education in SCORE CVD risk equation in men, particularly in Nordic and East European countries, to improve social equity in primary prevention. Weaker evidence for women warrants the need for further investigations.

KW - Adult

KW - Cardiovascular Diseases/epidemiology

KW - Educational Status

KW - Europe/epidemiology

KW - Female

KW - Follow-Up Studies

KW - Humans

KW - Male

KW - Middle Aged

KW - Morbidity/trends

KW - Patient Education as Topic/standards

KW - Predictive Value of Tests

KW - Prospective Studies

KW - Risk Assessment/standards

KW - Risk Factors

KW - Socioeconomic Factors

KW - Survival Rate/trends

U2 - 10.1136/heartjnl-2013-304664

DO - 10.1136/heartjnl-2013-304664

M3 - SCORING: Journal article

C2 - 24794139

VL - 100

SP - 1179

EP - 1187

JO - HEART

JF - HEART

SN - 1355-6037

IS - 15

ER -