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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Endovascular and Interventional Neurology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1598203

Intracranial Hemorrhage Prediction in Acute Ischemic Stroke Patients with Anterior Circulation Tandem Lesions Following Endovascular Thrombectomy

Provisionally accepted
  • 1Shandong Second Medical University, Weifang, China
  • 2Department of Neurology, Weifang People's Hospital, Weifang, Shandong Province, China

The final, formatted version of the article will be published soon.

Background: Acute ischemic stroke (AIS) patients with anterior circulation tandem lesions (TL) face a heightened risk of hemorrhage following endovascular thrombectomy (EVT). Predictive models specifically for this complication in the TL population are currently lacking. Methods: This retrospective cohort study analyzed 200 AIS patients with anterior circulation TL who underwent EVT. Least Absolute Shrinkage and Selection Operator regression was used for feature selection. Multivariable logistic regression (LR) models predicting intracranial hemorrhage (ICH) and symptomatic intracranial hemorrhage (sICH) risk were developed and visualized as nomograms. Model discrimination was evaluated using the area under the receiver operating characteristic curve (AUC). Results: After EVT, ICH occurred in 92 patients (46%) and sICH in 24 patients (12%). The LR model for ICH identified diabetes (Odd Ratio [OR] 2.454, 95% CI 1.137-5.297), drinking history (OR 2.230, 95% CI 1.160-4.288), and lower modified Thrombolysis in Cerebral Infarction (mTICI) score (OR 0.547, 95% CI 0.311-0.961) as significant independent predictors (AUC=0.712). The LR model for sICH identified lower Glasgow Coma Scale (GCS) score (OR 0.820, 95% CI 0.695-0.968), lower mTICI score (OR 0.398, 95% CI 0.182-0.868), and lower Alberta Stroke Program Early CT Score (ASPECTS) (OR 0.795, 95% CI 0.641-0.984) as significant independent predictors (AUC=0.830). Nomograms effectively quantified the contribution of predictors to outcome probabilities. Conclusion: In AIS patients with anterior circulation TL undergoing EVT, diabetes, drinking history, and lower mTICI score independently predict ICH risk, while lower GCS score, lower mTICI score, and lower ASPECTS independently predict sICH risk. The nomograms provide practical tools for individualized risk assessment, aiding clinical decision-making and perioperative management in this high-risk cohort.

Keywords: Tandem lesions, Thrombectomy, Hemorrhage, prognosis, Stroke

Received: 22 Mar 2025; Accepted: 19 Aug 2025.

Copyright: © 2025 Tian, Zhou and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yueqi Zhang, Shandong Second Medical University, Weifang, China

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