High-risk plaque characteristics associated with recurrent stroke in patients with intracranial stenosis: a systematic review and meta-analysis.

BACKGROUND

Risk stratification based on intracranial plaque characteristics is crucial for patients with intracranial atherosclerosis (ICAS). Nonetheless, there remains a significant deficit of validated imaging markers capable of predicting recurrent strokes. Consequently, we conducted a systematic review and meta-analysis to investigate the prognostic significance of high-risk plaque characteristics (HPCs) in relation to recurrent stroke.

METHODS

The systematic review was registered in PROSPERO (CRD420245820945). We systematically searched PubMed, Ovid Medline, and Web of Science for studies evaluating the association between HPCs and risk of stroke recurrence. Data were aggregated and pooled using a random-effects meta-analysis. Heterogenicity and publication bias were assessed, with subgroup and sensitivity analyses performed where appropriate.

RESULTS

Eighteen studies, comprising 13 prospective and 5 retrospective, involving a total of 4967 patients (3594 symptomatic, and 1373 asymptomatic), were included in the analysis. Among symptomatic patients, those with HPCs exhibited a higher incidence of stroke recurrence compared to those without HPCs (adjusted HR, 3.90 ([95% CI, 2.15-7.08]). ICAS patients with baseline plaque enhancement (adjusted HR, 5.20 [95% CI, 3.12-8.66]), calcification (adjusted HR, 2.92 [95% CI, 1.32-6.45]), high plaque steepness (adjusted HR, 110.27 [95% CI, 4.75-2559.74]), and progression in plaque burden (adjusted HR, 6.29 [95% CI, 1.62-24.45]) were identified as being at an increased risk of stroke recurrence. Subgroup analyses revealed that traditional cerebrovascular risk factors, including increasing age, hypertension, diabetes mellitus, and smoking, further elevated the risk of HPC-related stroke recurrence in ICAS patients.

CONCLUSION

The identification of HPCs confers independent prognostic value for the prediction of stroke recurrence in ICAS patients, which could be instrumental for patients risk stratification.