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2015, Number 2

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Correo Científico Médico 2015; 19 (2)

High sensitivity C reactive protein and cardiovascular disease risk

Vega AJ, Guimará MMR, Garces HY, García BY, Vega ALA
Full text How to cite this article

Language: Spanish
References: 25
Page: 190-201
PDF size: 300.84 Kb.


Key words:

cardiovascular risk factors, high sensitivity C reactive protein, cardiovascular risk prediction, primary health care.

ABSTRACT

Introduction: C reactive protein is a non specific marker of inflammation and a predictor of incident coronary heart disease, cardiovascular disease and subclinical vascular disease.
Objective: to expose the roll of high sensitivity C reactive protein in the prediction of cardiovascular risk.
Methods: a cross sectional survey was carried out, the population were 1 200 patients with age between 34-75 years old without cardiovascular disease of the Velasco Teaching Polyclinic during January to June 2011, the random sample were 168 participants, whom had available c reactive protein test, the cardiovascular risk was stratified through the determination of high sensitivity C reactive protein and compared with the coronary and global cardiovascular risk calculated by the Framingham-Wilson risk score and the Framingham-D´Agostino risk score respectively, the correlation coefficient among high sensitivity C reactive protein and the cardiovascular risk was calculated.
Results: mean age 52.4 ± 12.5 years, 65 % women. The mean of high sensitivity c reactive protein was 2.81 ± 2.60 mg/L, the correlation coefficient between level of high sensitivity C reactive protein and cardiovascular risk calculated was 0.275 (p 0.023) for coronary heart disease risk and 0.292 (p 0.013) for global cardiovascular risk. When re-stratified the cardiovascular risk calculated according to the risk obtained by means of high sensitivity C reactive protein concentration, 15.7 % of participants were reclassified as intermediate risk and the 5.1 % as high risk.
Conclusions: the high sensitivity C reactive protein determination is useful in the preventive decision making due to its contribution to improve the prediction of cardiovascular risk calculated with the specific risk table.


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Correo Científico Médico. 2015;19