Cited by 436Health Promotion and Cardiovascular PreventionLipoproteins and Cardiovascular HealthCardiovascular Health and Risk Factors

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Value and Limitations of Existing Scores for the Assessment of Cardiovascular Risk

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Cooney, Marie Therese, Dudina, Alexandra L., Graham, Ian M.·2009·Journal of the American College of Cardiology

DOI 10.1016/j.jacc.2009.07.020

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Abstract

Atherosclerotic cardiovascular diseases (CVDs) are the biggest causes of death worldwide. In most people, CVD is the product of a number of causal risk factors. Several seemingly modest risk factors may, in combination, result in a much higher risk than an impressively raised single factor. For this reason, risk estimation systems have been developed to assist clinicians to assess the effects of risk factor combinations in planning management strategies. In this article, the performances of the major risk estimation systems are reviewed. Most perform usably well in populations that are similar to the one used to derive the system, and in other populations if calibrated to allow for different CVD mortality rates and different risk factor distributions. The effect of adding "new" risk factors to age, sex, smoking, lipid status, and blood pressure is usually small, but may help to appropriately reclassify some of those patients who are close to a treatment threshold to a more correct "treat/do not treat" category. Risk estimation in the young and old needs more research. Quantification of the hoped-for benefits of the multiple risk estimation approach in terms of improved outcomes is still needed. But, it is likely that the widespread use of such an approach will help to address the issues of both undertreatment and overtreatment.

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Authors Task Force Members, Mancia, G., Fagard, R., Narkiewicz, K., Redon, J., Zanchetti, A., Böhm, M., Christiaens, T., Cífková, R., Backer, G. D., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht151 · Cited by 13,739
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Self-citation
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Self-citation
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M.-T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw106 · Cited by 6,457
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Mancia, G., Fagard, R., Narkiewicz, K., Redón, J., Zanchetti, A., Böhm, M., Christiaens, T., Cifkova, R., De Backer, G., Dominiczak, A., et al. (2013) · Journal of Hypertension · doi:10.1097/01.hjh.0000431740.32696.cc · Cited by 5,655

See all 436

Authors: Cooney, M. T., Dudina, A. L., & Graham, I. M.
Affiliations: Tallaght University Hospital (IE)
Corresponding author: Graham, Ian M.
ORCID: Cooney, Marie Therese
Graham, Ian M.
Venue: Journal of the American College of Cardiology
Publisher: Elsevier BV
Published: 2009-09
Volume: 54
Issue: 14
Pages: 1209-1227
ISSN: 0735-1097 (ISSN-L)
DOI: 10.1016/j.jacc.2009.07.020
OpenAlex: W197402492
Cited by: 436
References: 90
Citations by year: 2026: 14 · 2025: 19 · 2024: 14 · 2023: 18 · 2022: 28 · 2021: 28 · 2020: 28 · 2019: 27 · 2018: 28 · 2017: 20 · 2016: 38 · 2015: 34 · 2014: 28 · 2013: 24 · 2012: 26
FWCI: 3.98
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 1414 d)
Locations: Journal of the American College of Cardiology (publishedVersion)
PubMed (publishedVersion)
Lenus, The Irish Health Repository (Dr Steevens Hospital Library) (submittedVersion)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords: cardiovascular risk assessment, atherosclerotic cardiovascular disease, risk factor combinations, calibration, undertreatment, overtreatment, young and elderly patients, cardiovascular mortality
MeSH terms: Age Factors, Cardiovascular Diseases, Humans, Models, Cardiovascular, Risk Factors, Risk Assessment

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Value and Limitations of Existing Scores for the Assessment of Cardiovascular Risk

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