Resumen

VEGA ABASCAL, Jorge et al. High Sensitivity C Reactive Protein and Cardiovascular Disease Risk. ccm [online]. 2015, vol.19, n.2, pp.190-201. ISSN 1560-4381.

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.

Palabras clave : cardiovascular risk factors; high sensitivity c reactive protein; cardiovascular risk prediction; primary health care.

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