Changes in serum miR-122-5p in patients with coronary heart disease and its relationship with plaque stability and prognosis
Objective To analyze the changes of serum microRNA-122-5p(miR-122-5p)and its relationship with plaque stability and prognosis in patients with coronary heart disease(CHD).Methods A total of 186 patients with CHD in the hospital were enrolled as the study group between August 2019 and Au-gust 2021.According to plaque stability,they were further divided into the unstable plaque group(n=58)and the stable plaque group(n=128).A total of 90 healthy controls during the same period were enrolled as the control group.The level of serum miR-122-5p in all the objects was detected and compared.The diagnostic val-ue of serum miR-122-5p for plaque stability was analyzed by the ROC curves.The occurrence of adverse car-diovascular events in CHD patients within 1 year of follow-up were recorded.According to different progno-sis,CHD patients were divided into the poor prognosis group(n=50)and the good prognosis group(n=136).The influencing factors of prognosis were analyzed by univariate and multivariate logistic analysis.Results The level of serum miR-122-5p in the study group was higher than that in the control group,the difference was statistically significant(P<0.05),which was also higher in the unstable plaque group than in the stable plaque group,the difference was statistically significant(P<0.05).The ROC curves showed that the AUC of miR-122-5p in the diagnosis of plaque stability was 0.845(P<0.05).The level of serum miR-122-5p in the poor prognosis group was higher than that in the good prognosis group,the difference was statistically signifi-cant(P<0.05).Logistic analysis showed that high level of serum miR-122-5p was an independent risk factor for poor prognosis in CHD patients(P<0.05).Conclusion MiR-122-5p is highly expressed in the serum of CHD patients and has a certain diagnostic value for plaque stability.Excessive levels of miR-122-5p are an in-dependent risk factor for poor prognosis in CHD patients.
NETL
NSTL
万方数据
维普
