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Published on: January 28, 2020
High-sensitivity C-reactive protein predicts mortality but not stroke: the Northern Manhattan Study
M S V Elkind1, J M Luna, Y P Moon
1Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA. mse13@columbia.edu
Insights
High-sensitivity C-reactive protein (hsCRP) did not predict ischemic stroke in a multiethnic cohort but was linked to increased risk of myocardial infarction and mortality. Serum amyloid A (SAA) showed no association with stroke risk.
Area of Science:
- Cardiovascular epidemiology
- Inflammatory markers
- Stroke and vascular disease research
Background:
- Inflammation markers are linked to myocardial infarction (MI) risk.
- The association between inflammation markers and stroke risk is debated.
- Prospective cohort studies are crucial for understanding disease prediction.
Purpose of the Study:
- To investigate the predictive value of high-sensitivity C-reactive protein (hsCRP) and serum amyloid A (SAA) for stroke, vascular events, and mortality.
- To assess the role of these inflammatory markers in a multiethnic population.
- To clarify the controversial association between inflammation and stroke risk.
Main Methods:
- Prospective cohort study of stroke-free adults (aged >=40 years) from the Northern Manhattan Study.
- Measurement of hsCRP and SAA using nephelometry.
- Cox proportional hazards models to determine hazard ratios (HR) and 95% confidence intervals (CI) for outcomes, adjusting for demographics and risk factors.
Main Results:
- hsCRP >3 mg/L was not significantly associated with ischemic stroke risk after full adjustment (adjusted HR = 1.20, 95% CI 0.78-1.86).
- Elevated hsCRP (>3 mg/L) was associated with increased risk of myocardial infarction (adjusted HR = 1.70, 95% CI 1.04-2.77) and all-cause mortality (adjusted HR = 1.55, 95% CI 1.23-1.96).
- Serum amyloid A (SAA) showed no association with stroke risk in this cohort.
Conclusions:
- In this multiethnic cohort, hsCRP is not a significant predictor of ischemic stroke but shows a modest association with myocardial infarction and mortality.
- The predictive utility of hsCRP and SAA may be influenced by population-specific characteristics, including age and the presence of other risk factors.
- Further research is needed to elucidate the role of inflammatory markers in diverse populations and their specific associations with cardiovascular outcomes.
Objective:
To determine whether high-sensitivity C-reactive protein (hsCRP) and serum amyloid A (SAA) predict stroke, vascular events, and mortality in a prospective cohort study.
Background:
Markers of inflammation have been associated with risk of myocardial infarction (MI). Their association with stroke is controversial.
Methods:
The Northern Manhattan Study includes a stroke-free community-based cohort study in participants aged > or =40 years (median follow-up 7.9 years). hsCRP and SAA were measured using nephelometry. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI) for the association of markers with risk of ischemic stroke and other outcomes after adjusting for demographics and risk factors.
Results:
hsCRP measurements were available in 2,240 participants (mean age 68.9 +/- 10.1 years; 64.2% women; 18.8% white, 23.5% black, and 55.1% Hispanic). The median hsCRP was 2.5 mg/L. Compared with those with hsCRP <1 mg/L, those with hsCRP >3 mg/L were at increased risk of ischemic stroke in a model adjusted for demographics (HR = 1.60, 95% CI 1.06-2.41), but the effect was attenuated after adjusting for other risk factors (adjusted HR = 1.20, 95% CI 0.78-1.86). hsCRP >3 mg/L was associated with risk of MI (adjusted HR = 1.70, 95% CI 1.04-2.77) and death (adjusted HR = 1.55, 95% CI 1.23-1.96). SAA was not associated with stroke risk.
Conclusion:
In this multiethnic cohort, high-sensitivity C-reactive protein (hsCRP) was not associated with ischemic stroke, but was modestly associated with myocardial infarction and mortality. The value of hsCRP and serum amyloid A may depend on population characteristics such as age and other risk factors.
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