Cited by 504Lipoproteins and Cardiovascular HealthHealth Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

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The Effect of Including C-Reactive Protein in Cardiovascular Risk Prediction Models for Women

Cook, Nancy R., Buring, Julie E., Ridker, Paul M·2006·Annals of Internal Medicine

DOI 10.7326/0003-4819-145-1-200607040-00128

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Abstract

BACKGROUND: While high-sensitivity C-reactive protein (hsCRP) is an independent predictor of cardiovascular risk, global risk prediction models incorporating hsCRP have not been developed for clinical use. OBJECTIVE: To develop and compare global cardiovascular risk prediction models with and without hsCRP. DESIGN: Observational cohort study. SETTING: U.S. female health professionals. PARTICIPANTS: Initially healthy nondiabetic women age 45 years and older participating in the Women's Health Study and followed an average of 10 years. MEASUREMENTS: Incident cardiovascular events (myocardial infarction, stroke, coronary revascularization, and cardiovascular death). RESULTS: High-sensitivity CRP made a relative contribution to global risk at least as large as that provided by total, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol individually, but less than that provided by age, smoking, and blood pressure. All global measures of fit improved when hsCRP was included, with likelihood-based measures demonstrating strong preference for models that include hsCRP. With use of 10-year risk categories of 0% to less than 5%, 5% to less than 10%, 10% to less than 20%, and 20% or greater, risk prediction was more accurate in models that included hsCRP, particularly for risk between 5% and 20%. Among women initially classified with risks of 5% to less than 10% and 10% to less than 20% according to the Adult Treatment Panel III covariables, 21% and 19%, respectively, were reclassified into more accurate risk categories. Although addition of hsCRP had minimal effect on the c-statistic (a measure of model discrimination) once age, smoking, and blood pressure were accounted for, the effect was nonetheless greater than that of total, LDL, or HDL cholesterol, suggesting that the c-statistic may be insensitive in evaluating risk prediction models. LIMITATIONS: Data were available only for women. CONCLUSIONS: A global risk prediction model that includes hsCRP improves cardiovascular risk classification in women, particularly among those with a 10-year risk of 5% to 20%. In models that include age, blood pressure, and smoking status, hsCRP improves prediction at least as much as do lipid measures.

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Authors: Cook, N. R., Buring, J. E., & Ridker, P. M.
Affiliations: Brigham and Women's Hospital (US)
ORCID: Cook, Nancy R.
Buring, Julie E.
Ridker, Paul M
Venue: Annals of Internal Medicine
Publisher: American College of Physicians
Published: 2006-07-04
Volume: 145
Issue: 1
Pages: 21-29
ISSN: 0003-4819 (ISSN-L)
1539-3704
DOI: 10.7326/0003-4819-145-1-200607040-00128
OpenAlex: W2100083473
Cited by: 504
References: 50
Citations by year: 2026: 2 · 2025: 7 · 2024: 8 · 2023: 10 · 2022: 9 · 2021: 11 · 2020: 7 · 2019: 13 · 2018: 14 · 2017: 9 · 2016: 19 · 2015: 23 · 2014: 21 · 2013: 31 · 2012: 35
FWCI: 58.97
Type: journal article
Language: en
Open access: closed
Licence: www.acpjournals.org/journal/aim/text-and-data-mining (tdm)
Locations: Annals of Internal Medicine (publishedVersion)
PubMed (publishedVersion)
UCLA - Biblioteca de Ciencias de la Salud (submittedVersion)
Funders: National Institutes of Health (5r01hl043851-10)
National Heart, Lung, and Blood Institute (HL43851)
National Cancer Institute (CA-47988, R01CA047988)
Topics: Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords: high-sensitivity C-reactive protein, cardiovascular risk prediction, women, 10-year cardiovascular risk, risk reclassification, model discrimination, concordance index, myocardial infarction, stroke, cardiovascular mortality, Women's Health Study
MeSH terms: Age Factors, Blood Pressure, C-Reactive Protein, Cardiovascular Diseases, Female, Humans, Lipids, Middle Aged, Smoking, United States, Cohort Studies, Biomarkers, Proportional Hazards Models, Risk Assessment

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The Effect of Including C-Reactive Protein in Cardiovascular Risk Prediction Models for Women

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