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Heart Disease Health Center

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New Model to Better Predict Heart Risk

Family History, CRP Testing Could Improve Assessment in Women
WebMD Health News
Reviewed by Louise Chang, MD

Feb. 13, 2007 -- A new model for predicting heart disease and stroke risk among women can help better identify those who need preventive treatment, say the researchers who developed the model.

The model adds assessment of family history, as well as blood testing to measure inflammation -- called C-reactive protein (CRP) levels, to the established risk factors now used to predict the risk of heart attack or stroke.

Use of the model in a group of women previously classified as having an intermediate risk for such a cardiovascular event resulted in reclassifying between 40% and 50% of the women to either lower or higher risk categories.

The findings are published in the Feb. 14 issue of JAMA, TheJournal of the American Medical Association.

“We were very surprised that just these two items -- adding CRP and family history – made such a large difference,” a study author, Paul M. Ridker, MD, MPH, tells WebMD.

Leading Killer of Women

Coronary heart disease is the leading killer of women in the United States. Nearly twice as many women die from heart disease and stroke as from all cancers combined.

Current models used to predict cardiovascular risk include assessment of a patient’s age, total cholesterol level, high-density lipoprotein (HDL) cholesterol level, smoking status, and blood pressure.

In an attempt to refine the model to more accurately predict risk in women, Ridker and colleagues from Boston’s Brigham and Women’s Hospital examined 35 separate risk factors for stroke and heart disease in roughly 16,000 healthy women followed an average of 10 years.

The researchers then tested the usefulness of their model in an additional 8,158 women.

The researchers determined that just two of the new risk factors -- having a mother or father who had a heart attack before age 60 and having a high sensitivity C-reactive protein -- added to the ability to predict problems.

Ridker tells WebMD that the model, known as the Reynolds Risk Score, can help doctors determine if a woman needs preventive treatments like low-dose aspirin and cholesterol-lowering drugs (statins).

A major advantage of the new tool is that it predicts risk over many decades, instead of just over 10 years. And it shows how lifestyle changes such as stopping smoking will impact risk, Ridker tells WebMD.

The model can be found at

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