What question did this study set out to answer?

To assess whether adding multiple circulating biomarkers to traditional risk factor models improves 5-year coronary heart disease risk prediction in post-menopausal women.

October 3, 2026Journal of the American College of CardiologyOpen Access

Multimarker Prediction of Coronary Heart Disease Risk

Q: What is the clinical evidence from this study?

Study design: Case-Control. Population: Coronary heart disease (n=1064). Intervention: Additional biomarker model (including interleukin-6, d-dimer, coagulation factor VIII, von Willebrand factor, and homocysteine) vs. Traditional risk factor (TRF) model. Primary outcome: C-statistic for 5-year CHD risk prediction (NRI 6.45%, p=0.001).

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Key result

Adding a 5-biomarker panel to traditional factors improves 5-year CHD risk prediction, yielding ~6% reclassification.

NRI 6.45%
P=0.001
n=1,064

Why the study?

The utility of newer biomarkers for improving coronary heart disease risk prediction beyond traditional risk factors in post-menopausal women remains uncertain.

Does an additional biomarker model improve 5-year CHD risk prediction compared to traditional risk factors in post-menopausal women?

Key Points

To assess whether adding multiple circulating biomarkers to traditional risk factor models improves 5-year coronary heart disease risk prediction in post-menopausal women.
Conducted a nested case-control study within the Women's Health Initiative Hormone Trials evaluating 321 incident coronary heart disease cases and 743 controls among 27,347 post-menopausal women aged 50 to 79 years.
Screened 18 biomarkers and compared four 5-year risk equations: two Framingham risk score models, a traditional risk factor model, and a multimarker model adding five significantly associated markers (interleukin-6, d-dimer, coagulation factor VIII, von Willebrand factor, and homocysteine).
The multimarker model improved risk discrimination over the traditional risk factor model, increasing the C-statistic from 0.729 to 0.751 (p = 0.001) with a net reclassification improvement of 6.45%.
The traditional risk factor model outperformed the Framingham risk score model, increasing the C-statistic from 0.699 to 0.729 (p = 0.001) with a net reclassification improvement of 6.42%.
C-reactive protein level did not significantly enhance coronary heart disease risk prediction either independently or alongside other biomarkers.

Study Design

Type

Case-Control (n=1,064)

Structured PICO

Does an additional biomarker model improve 5-year CHD risk prediction compared to traditional risk factors in post-menopausal women?

Population

1,064 post-menopausal women aged 50 to 79 years (321 with CHD and 743 controls) evaluated for 5-year coronary heart disease risk.

Exposure

Additional biomarker model including 5 markers (interleukin-6, d-dimer, coagulation factor VIII, von Willebrand factor, and homocysteine) added to traditional risk factors

Comparator

Traditional risk factor (TRF) model (including statin treatment, hormone treatment, cardiovascular disease history, and Framingham risk score covariates) and Framingham risk score models

Outcome

5-year CHD risk prediction (assessed by C-statistic and net reclassification improvement)surrogate

Main Result

Effect estimate: NRI 6.45%

Absolute Event Rate: 0.751% vs 0.729%

p-value: p=0.001

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Adding a 5-biomarker panel to traditional risk factors provides moderate improvement in 5-year CHD risk prediction in post-menopausal women.

Cite This Study

Kim et al. (2010) conducted a case-control in Coronary heart disease (n=1,064). Additional biomarker model (including interleukin-6, d-dimer, coagulation factor VIII, von Willebrand factor, and homocysteine) vs. Traditional risk factor (TRF) model was evaluated on C-statistic for 5-year CHD risk prediction (NRI 6.45%, p=0.001). Adding a 5-biomarker panel to traditional risk factors moderately improved 5-year coronary heart disease risk prediction in post-menopausal women (C-statistic 0.751 vs. 0.729, p=0.001).

synapsesocial.com/papers/6ac073568072387ea82fa4bc https://doi.org/10.1016/j.jacc.2009.12.047

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Implication

Adding a 5-biomarker panel to traditional risk factors provides moderate improvement in 5-year CHD risk prediction in post-menopausal women.

Multimarker Prediction of Coronary Heart Disease Risk

Key Points

Study Design

Structured PICO

Main Result

Discussion

Implication

Cite This Study

Multimarker Prediction of Coronary Heart Disease Risk

Key Points

Study Design

Structured PICO

Main Result

Discussion

Implication

Cite This Study

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