Assessing risk factors for major adverse cardiovascular and cerebrovascular events during the perioperative period of carotid angioplasty with stenting patients

Carotid atherosclerotic stenosis is a risk factor for ischemic stroke. The rapid development of neuroimaging techniques had led to carotid angioplasty with stenting (CAS) becoming a useful, effective and minimally invasive method for the treatment of extracranial carotid artery stenosis. The aim of the present study was to identify independent risk factors to predict perioperative major adverse cerebral and cardiovascular events for CAS patients and establish a risk evaluation model. Consecutive patients treated with a standardized CAS procedure were enrolled in the present study. The patients included underwent independent neurological evaluation prior to and after the procedure and at 30 days. The rates of transient ischemic attack, stroke, myocardial infarction and mortality were recorded. A relative regression model was established to evaluate risk factors of perioperative major adverse cardiac and cerebrovascular events (MACCE). In total, 403 subjects treated with CAS were enrolled into the study at a baseline MACCE rate of 8.19%, whereas the overall stroke, myocardial infarction and mortality rate at 30 days was 3.97%. The multiple regression analysis revealed that certain factors significantly predicted the 30-day risk of treatment-related MACCE. These factors included age of ≥70 years, ulcerative plaque, severe carotid stenosis, bilateral carotid artery stenting and hemodynamic depression following CAS. The MACCE risk prediction model and risk score system were subsequently established. In conclusion, factors that significantly predicted the 30-day risk of MACCE of CAS included, age of ≥70 years, ulcerative plaque, severe carotid stenosis, bilateral carotid artery stenting and hemodynamic depression, with hemodynamic depression being a controllable factor. The established risk score system is therefore a potentially useful tool that can be employed in the prediction of MACCE after CAS.