Multiple Biomarkers for the Prediction of First Major Cardiovascular Events and Death

@article{Wang2006MultipleBF,
  title={Multiple Biomarkers for the Prediction of First Major Cardiovascular Events and Death},
  author={Thomas J. Wang and Philimon N. Gona and Martin G. Larson and Geoffrey H. Tofler and Daniel Levy and Christopher H. Newton-Cheh and Paul F. Jacques and Nader Rifai and Jacob Selhub and Sander J. Robins and Emelia J. Benjamin and Ralph B. D'Agostino and Ramachandran S. Vasan},
  journal={The New England Journal of Medicine},
  year={2006},
  volume={355},
  pages={2631-2639}
}
BACKGROUND: Few investigations have evaluated the incremental usefulness of multiple biomarkers from distinct biologic pathways for predicting the risk of cardiovascular events. METHODS: We measured 10 biomarkers in 3209 participants attending a routine examination cycle of the Framingham Heart Study: the levels of C-reactive protein, B-type natriuretic peptide, N-terminal pro-atrial natriuretic peptide, aldosterone, renin, fibrinogen, D-dimer, plasminogen-activator inhibitor type 1, and… Expand
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References

SHOWING 1-10 OF 46 REFERENCES
Comparative Impact of Multiple Biomarkers and N-Terminal Pro-Brain Natriuretic Peptide in the Context of Conventional Risk Factors for the Prediction of Recurrent Cardiovascular Events in the Heart Outcomes Prevention Evaluation (HOPE) Study
TLDR
A model consisting of simple traditional risk factors and Nt-proBNP provided the best clinical prediction in the secondary-prevention population. Expand
Plasma natriuretic peptide levels and the risk of cardiovascular events and death.
TLDR
Peptide levels predicted the risk of death and cardiovascular events after adjustment for traditional risk factors and excess risk was apparent at natriuretic peptide levels well below current thresholds used to diagnose heart failure. Expand
N-terminal pro-brain natriuretic peptide, C-reactive protein, and urinary albumin levels as predictors of mortality and cardiovascular events in older adults.
TLDR
NT-proBNP was a stronger risk biomarker for cardiovascular disease and death than CRP was in nonhospitalized individuals aged 50 to 89 years and provided prognostic information of mortality and first major cardiovascular events beyond traditional risk factors. Expand
An assessment of incremental coronary risk prediction using C-reactive protein and other novel risk markers: the atherosclerosis risk in communities study.
TLDR
The findings reinforce the utility of major, modifiable risk factor assessment to identify individuals at risk for CHD for preventive action and suggest that routine measurement of these novel markers is not warranted for risk assessment. Expand
C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease.
TLDR
The long-term stability of C-reactive protein values was similar to that of both blood pressure and total serum cholesterol, and recommendations regarding its use in predicting the likelihood of coronary heart disease may need to be reviewed. Expand
C-reactive protein and risk of cardiovascular disease in men and women from the Framingham Heart Study.
TLDR
Elevated CRP level provided no further prognostic information beyond traditional office risk factor assessment to predict future major CVD and major coronary heart disease in this population sample. Expand
Established and emerging plasma biomarkers in the prediction of first atherothrombotic events.
TLDR
Although risk-scoring systems that additionally evaluate traditional risk factors such as smoking, hypertension, and diabetes greatly improve risk prediction, multiple studies demonstrate that 20% to 25% of all future events occur in individuals with only 1 of these factors. Expand
Fibrinolytic activation markers predict myocardial infarction in the elderly. The Cardiovascular Health Study.
TLDR
D-dimer and PAP, but not PAI-1, predicted future myocardial infarction in men and women over age 65, and relationships were independent of other risk factors, including inflammation markers. Expand
Fibrin D-Dimer and Coronary Heart Disease: Prospective Study and Meta-Analysis
TLDR
There may be an association between circulating D-dimer values and CHD, but further studies are needed to determine the extent to which this is causal. Expand
C-Reactive Protein as a Predictor of Cardiovascular Risk in a Population With a High Prevalence of Diabetes: The Strong Heart Study
TLDR
In subgroup analysis, CRP was strongly related to incident CVD among nondiabetic women participants, even after adjustment for traditional CVD risk factors and other indicators of inflammation, andCRP was not predictive of CVD in important subgroups, such as those with diabetes. Expand
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