Research Article - Biomedical Research (2017) Volume 28, Issue 10
Changes in soluble cell adhesion molecules in patients with coronary heart disease before and after coronary stent implantation
Objective: This study aims to investigate the changes in soluble cell adhesion molecules in patients with coronary heart disease before and after coronary stent implantation and to investigate the feasibility of SICAM-1 as an indicator to predict the postoperative coronary restenosis severity.
Methods: A total of 120 cases of patients with coronary stent implantation were selected as research objects. The coronary artery diameter was measured using enhanced CT. Restenosis severity and clinical symptoms were determined. Moreover, its relationship with the concentrations of SICAM-1 and sP-selectin were analysed.
Results: A total of 71 cases in patients occurred to be coronary restenosis. Sixty cases were considered non-cardiac events, and the number was significantly higher than that of patients with cardiac events (P<0.05). The postoperative concentrations of sP-selectin and sICAM-1 were significantly higher than before operation (P<0.001). No significant difference was found in the sP-selectin concentration between the non-restenosis and restenosis groups (P>0.05). The sICAM-1 concentration in patients with cardiac events was 267.84 ± 47.68 ng/ml in the restenosis group, which was significantly higher than in patients with non-cardiac events (183.29 ± 58.99 ng/ml) in the restenosis group and (147.52 ± 94.11) ng/ml in the non-restenosis group (P<0.001). The mean concentration of SICAM-1 in each group increased with the severity of coronary artery stenosis. Meanwhile, the highest concentration appeared in patients with cardiac events in the restenosis group.
Conclusion: The SICAM-1 concentrations in the patients with coronary heart disease showed significant difference before and after stent implantation. SICAM-1 can be used as a risk factor for assessing the coronary restenosis and progression.Author(s): Rong-Hai Yang, Ying-Feng Liu, Wei-Ping Yao, Xue-Jun Wang, Jian-Guang Liang, Jia-Chao Liu