Subsequently, we aim to enhance our approach by supplementing the detection of serum inflammatory factors (CRP, IL-6) and coagulation function indicators (D-dimer, fibrinogen), incorporating these indicators into the predictive model for iterative optimization, and ultimately constructing a comprehensive predictive model covering multiple dimensions of risk, which enhances the early identification and clinical utility of cerebral infarction after transient ischemic attack. This evidence concerns the gene IL6 and cerebral infarction.