Develepment and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F20%3A00013308" target="_blank" >RIV/75010330:_____/20:00013308 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/eurheartj/article/41/35/3325/5917758" target="_blank" >https://academic.oup.com/eurheartj/article/41/35/3325/5917758</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/eurheartj/ehaa571" target="_blank" >10.1093/eurheartj/ehaa571</a>
Alternative languages
Result language
angličtina
Original language name
Develepment and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study
Original language description
Aims Cardiovascular disease (CVD) risk prediction models are used in Western European countries, but less so in Eastern European countries where rates of CVD can be two to four times higher. We recalibrated the SCORE prediction model for three Eastern European countries and evaluated the impact of adding seven behavioural and psychosocial risk factors to the model. Methods and results We developed and validated models using data from the prospective HAPIEE cohort study with 14 598 participants from Russia, Poland, and the Czech Republic (derivation cohort, median follow-up 7.2 years, 338 fatal CVD cases) and Estonian Biobank data with 4632 participants (validation cohort, median follow-up 8.3 years, 91 fatal CVD cases). The first model (recalibrated SCORE) used the same risk factors as in the SCORE model. The second model (HAPIEE SCORE) added education, employment, marital status, depression, body mass index, physical inactivity, and antihypertensive use. Discrimination of the original SCORE model (C-statistic 0.78 in the derivation and 0.83 in the validation cohorts) was improved in recalibrated SCORE (0.82 and 0.85) and HAPIEE SCORE (0.84 and 0.87) models. After dichotomizing risk at the clinically meaningful threshold of 5%, and when comparing the final HAPIEE SCORE model against the original SCORE model, the net reclassification improvement was 0.07 [95% confidence interval (CI) 0.02-0.11] in the derivation cohort and 0.14 (95% CI 0.04-0.25) in the validation cohort. Conclusion Our recalibrated SCORE may be more appropriate than the conventional SCORE for some Eastern European populations. The addition of seven quick, non-invasive, and cheap predictors further improved prediction accuracy.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30304 - Public and environmental health
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Heart Journal
ISSN
0195-668X
e-ISSN
1522-9645
Volume of the periodical
41
Issue of the periodical within the volume
35
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
3325-3333, 3333a
UT code for WoS article
000593360900011
EID of the result in the Scopus database
2-s2.0-85092749623