Simple CaroTID-VasC score to predict one-year risk of stroke in symptomatic carotid stenosis patients

Abstract

BackgroundA subset of extracranial symptomatic carotid stenosis (ESCS) patients may fare well on current optimal medical therapy (OMT), and surgery may be avoided in these patients. Therefore, we aimed to develop and validate a stroke risk prediction model to stratify the risk among ESCS patients. MethodsAdult ESCS patients who denied revascularization procedures were enrolled prospectively and prescribed OMT. Patients were followed-up for twelve months after assessing the clinical, imaging, and hemodynamics-based risk predictors at baseline. Cox regression analysis was performed on predictors which were significant in univariate analysis. Beta coefficients of significant predictors in Cox regression were used to generate a numeric score. The model was internally validated using bootstrapping. ResultsA total of 20 (20.2%) out of 99 patients had event recurrence during the follow-up. Transient ischemic attack index event (P = 0.014), diabetes mellitus (P = 0.018), contralateral significant stenosis (P = 0.007), echolucent plaque (P = 0.011), and impaired vasomotor reactivity (P = 0.006) were significant predictors in Cox regression analysis. A points score (0–6) was derived from regression coefficients of the significant predictors. The area under ROC was 0.884 for the developed model and 0.832 for the bootstrapped model. Youden's index divided the score into low-risk (2.2%) and high-risk (35.8%) groups, and the difference in risk was significant (P < 0.001). ConclusionsMost ESCS patients benefited from OMT, and the CaroTID-VasC score was effective in stratifying patients for risk of endpoint occurrence. The developed model may help identify high-risk subgroups of ESCS patients and assist the decision-making of carotid interventions.