C-Reactive Protein Level Predicts Cardiovascular Risk in Chinese Young Female Population

Background. C-reactive protein (CRP) is one of the most common oxidative indexes affected by many diseases. In recent years, there have been many studies on CRP, but the relationship between CRP levels and the cardiovascular risk in the Chinese young female population is still unclear. The purpose of this work is to explore the predictive value of CRP for the cardiovascular risk in the Chinese young female population. Methods. The study is conducted by 1 : 1 case-control to retrospectively analyze 420 young women with acute coronary syndrome (ACS group) who underwent percutaneous coronary intervention (PCI) and 420 young women (control group) who underwent coronary angiography (CAG) to exclude coronary heart disease from January 2007 to December 2016. All patients are divided into three subgroups according to CRP values: subgroup 1: CRP<1.0 mg/L (n=402); subgroup 2: 1.0 mg/L≤CRP≤3.0 mg/L (n=303); subgroup 3: CRP>3.0 mg/L (n=135). The levels of CRP were observed in the two groups and three subgroups. Results. A total of 840 patients were analyzed. The mean duration of follow-up was 66.37±30.06 months. The results showed that the level of CRP in the ACS group was significantly higher than that in the control group (1.30±1.70 vs. 3.33±5.92, respectively, p<0.001), and patients with higher CRP levels were associated with a significantly increased rate of major adverse cardiovascular events (MACE) (7.0% vs. 8.9% vs. 19.30%, respectively, p<0.05). After adjustment for baseline covariates, CRP level was still an independent predictor for the incidence of MACE, either as a continuous variable or as a categorical variable. There was a significantly higher rate of all-cause mortality and myocardial infarction in patients with higher CRP values during follow-up. Conclusions. The research results show that high CRP is associated with increased risk of ACS in the Chinese young female population. Risk stratification with CRP as an adjunct to predict clinical risk factors might be useful in the Chinese young female population.