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Chinese Journal of Interventional Radiology(Electronic Edition) ›› 2026, Vol. 14 ›› Issue (03): 292-298. doi: 10.3877/cma.j.issn.2095-5782.2026.03.010

• Article • Previous Articles    

Factors Influencing Poor Prognosis After Endovascular Thrombectomy for Acute Ischemic Stroke of Anterior Circulation Large Vessel Occlusion and Construction of a Risk Prediction Model

Jingjing Zhang1, Fayong Zhu2, Ya Liu1,(), Xiaohu Pan1, Xuesong Shi1, Minggang Yang1, Chunming Xie3, Guofeng Zhao4   

  1. 1 Department of neurology, XuYi Hospital Affiliated to Kangda College of Nanjing Medical University, Jiangsu Xuyi 211700
    2 Department of neurology, Suqian Hospital of Jiangsu Provincial People's Hospital, Jiangsu Suqian 223834, China
    3 Department of neurology, ZhongDa Hospital Affiliated with Southeast University, Jiangsu Nanjing 210029, China
    4 Department of Interventional Radiology, ZhongDa Hospital Affiliated with Southeast University, Jiangsu Nanjing 210029, China
  • Received:2025-11-26 Online:2026-08-25 Published:2026-08-27
  • Contact: Ya Liu

Abstract:

Objective

To explore the influencing factors of poor prognosis after mechanical thrombectomy for anterior circulation stroke and to construct prediction model.

Methods

Patients with anterior circulation ALVOS who underwent mechanical thrombectomy from January 2020 to December 2024 were divided into good prognosis group and poor prognosis group based on the 90-day postoperative prognosis. The baseline data, surgical conditions, and perioperative complications were analyzed. A clinical prediction model was constructed and its accuracy and efficacy were verified.

Results

A total of 528 patients were enrolled. Logistic regression analysis indicated that age, time of consultation, D-dimer, NIHSS score, number of thrombectomy, symptomatic intracranial hemorrhage, and successful reperfusion were independent influencing factors for poor prognosis (P< 0.05). Based on the above factors, a prediction model was constructed, and the calibration curve and decision curve showed that the model had good efficacy.

Conclusion

The model constructed for anterior circulation ALVOS based on age, time of consultation, D-dimer, baseline NIHSS score, number of thrombectomy, successful reperfusion, and symptomatic intracranial hemorrhage has good predictive efficacy for poor prognosis.

Key words: Acute large vessel occlusive stroke, Poor prognosis, Prediction model

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