October 8, 2013Clinical Chemistry
Cardiovascular Disease Risk Prediction in Women: Is There a Role for Novel Biomarkers?
Key result
Novel biomarkers, such as high-sensitivity troponin T, show promise in improving cardiovascular disease risk prediction in women, though many remain incompletely studied.
Why the study?
Do novel biomarkers improve cardiovascular disease risk prediction in women compared to traditional algorithms?
Population
Women at risk of cardiovascular disease
Comparison
Novel biomarkers for risk prediction vs Traditional risk prediction algorithms
Design
Review
Authors
Discussion
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Member takes
Implication
May refine CVD risk prediction in women; leaves open the need for prospective validation with greater female inclusion.
Structured PICO
Do novel biomarkers improve cardiovascular disease risk prediction in women compared to traditional algorithms?
P
Population
Women at risk of cardiovascular disease
E
Exposure
Novel biomarkers (e.g., high-sensitivity troponin T) for risk prediction
C
Comparator
Traditional risk prediction algorithms
O
Outcome
Improvement in predictive accuracy for 10-year risk of cardiovascular diseasesurrogate
Novel biomarkers like high-sensitivity troponin T show promise in improving cardiovascular disease risk prediction in women, highlighting the need for increased inclusion of women in future biomarker studies.
Limitations
- Many biomarkers have been incompletely studied or have not been shown to improve risk prediction in women
- Women are underrepresented in cardiovascular disease studies
- Incomplete study of many biomarkers in women
- Lower incidence of CVD in women complicates prediction
- Effects of traditional biomarkers on CVD risk differ in women compared to men
Cite This Study
Paynter et al. (2013) conducted a review in Cardiovascular disease. Novel biomarkers was evaluated on Cardiovascular disease risk prediction. Novel biomarkers, such as high-sensitivity troponin T, show promise in improving cardiovascular disease risk prediction in women, though many remain incompletely studied.