REVIEW article

Front. Neurol.

Sec. Endovascular and Interventional Neurology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1549057

Evaluating Predictive Models for Hemorrhagic Transformation Post-Mechanical Thrombectomy in Acute Ischemic Stroke

Provisionally accepted
Jiaxuan  WangJiaxuan WangJianyou  YouJianyou YouHui  YangHui YangZhongbin  XiaZhongbin XiaXiangbin  WuXiangbin WuMoxin  WuMoxin WuXiaoping  YinXiaoping YinZhiying  ChenZhiying Chen*
  • Jiujiang University, Jiujiang, China

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

Acute ischemic stroke (AIS), a condition defined by a decrease in cerebral blood flow, is primarily treated through mechanical thrombectomy (MT) for blockages in major anterior circulation arteries. Approaches encompass stent retrieval, suction thrombectomy, or a combination of both. MT is increasingly recognized for its rapid revascularization, low hemorrhagic transformation rate, and extended therapeutic time window. Nonetheless, multiple risk factors lead to post-MT hemorrhagic transformation (HT) through different mechanisms, resulting in adverse outcomes such as increased mortality and morbidity. Therefore, assessing the relevant risks based on predictive models for post-MT HT is necessary. These predictive models incorporate a series of risk factors and conduct statistical analyses to generate corresponding assessment scales, which are then used to evaluate the risk of postoperative bleeding. As this is a rapidly developing field, there is still controversy over which model is more effective than another in improving clinical efficacy, and there is a lack of consensus on the comparison of these data. In this paper, we assess the accuracy of these predictive models using receiver operating characteristic (ROC) curves and the concordance C-index. Determining the most accurate predictive model for post-MT HT is crucial for improving the prediction of patient outcomes and for the development of tailored treatment plans, thereby enhancing clinical relevance and applicability.

Keywords: Acute ischemic stroke, Mechanical thrombectomy, Hemorrhagic transformation, Symptomatic intracranial hemorrhage, predictive methods AIS: Acute Ischemic Stroke

Received: 02 Jan 2025; Accepted: 09 Jun 2025.

Copyright: © 2025 Wang, You, Yang, Xia, Wu, Wu, Yin and Chen. 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: Zhiying Chen, Jiujiang University, Jiujiang, China

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