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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Endovascular and Interventional Neurology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1580950

Analysis of influencing factors and interaction effects on stroke recurrence in patients with middle cerebral artery occlusion treated with mechanical thrombectomy

Provisionally accepted
ShunFu  JiangShunFu Jiang*Guoliang  LiGuoliang LiZhen  FengZhen FengHuiyan  ZhangHuiyan ZhangYongzhou  ZouYongzhou ZouHong  XuHong Xu
  • Jingdezhen No.1 People's Hospital, Jingdezhen municipality, China

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

Background Stroke recurrence is an important factor affecting the prognosis of mechanical thrombectomy in patients with middle cerebral artery (MCA) occlusion. This study aims to construct a model for evaluating the degree of stroke recurrence and conduct binary and ternary interaction analysis. Method We conducted a retrospective analysis of the clinical data of stroke recurrence patients, collecting demographic data, clinical characteristics, treatment factors, and biochemical indicators. Use XGBoost and RF models to screen features that contribute significantly to the degree of recurrence, and evaluate model performance through indicators such as ROC curve, F1 score, accuracy, and recall. Construct a stroke recurrence evaluation model based on the common features selected from these two models. Use the Andersson model to analyze the binary interaction between the model and other factors. Further analyze the three-way interaction between the model and other factors Result Both XGBoost and RF models perform well. In the multivariate logistic regression analysis, the recurrence model showed that age, smoking history, and infarct size had a significant impact on the degree of stroke recurrence (OR=1.006, 1.214, 1.167, all p<0.05), and the constructed recurrence model had a significant effect on the degree of stroke recurrence (OR=1.346, p=0.047). Through binary interaction analysis, it was found that there was a significant antagonistic effect between the recurrence model and age, smoking history, and infarct size. Triple interaction analysis showed that the synergistic effect of the recurrence model with age and smoking history was significant, and the synergistic effect of the recurrence model with smoking history and infarct size was also significant. Conclusion Age, smoking history, and infarct size are important influencing factors on the degree of stroke recurrence in MCA occlusion patients after mechanical thrombectomy treatment. The recurrence model performs differently in different patient populations, and the interaction with age, smoking history, and infarct size is of great significance for evaluating the degree of stroke recurrence.

Keywords: middle cerebral artery occlusion, Mechanical bolt removal, Stroke recurrence, interaction effect, MCA occlusion

Received: 21 Feb 2025; Accepted: 04 Aug 2025.

Copyright: © 2025 Jiang, Li, Feng, Zhang, Zou and Xu. 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: ShunFu Jiang, Jingdezhen No.1 People's Hospital, Jingdezhen municipality, China

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