Establishment and validation of a clinical prediction model for in-stent restenosis after intracranial and extracranial stent implantation

The predictive model constructed includes six predictive factors: TyG, presence of Diabetes Mellitus, postoperative dual antiplatelet therapy, BMI, and preoperative MRS score. The model demonstrates good predictive ability and can be utilized to predict ischemic stroke recurrence in patients with symptomatic ICAS after successful stent placement.

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Publication Details

Journal
Frontiers in Neurology
Published
2025-05-09
DOI
https://doi.org/10.3389/fneur.2025.1516274
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
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article

Establishment and validation of a clinical prediction model for in-stent restenosis after intracranial and extracranial stent implantation

Peiyuan Lv, Xiaohan Liang, Guodong Xu, Kuo‐Chang Yin et al.
Frontiers in Neurology
Cerebrovascular and Carotid Artery Diseases
article

Establishment and validation of a clinical prediction model for in-stent restenosis after intracranial and extracranial stent implantation

Peiyuan Lv, Xiaohan Liang, Guodong Xu, Kuo‐Chang Yin, Xiaoxiao Feng, Yidian Fu
article en

Abstract

The predictive model constructed includes six predictive factors: TyG, presence of Diabetes Mellitus, postoperative dual antiplatelet therapy, BMI, and preoperative MRS score. The model demonstrates good predictive ability and can be utilized to predict ischemic stroke recurrence in patients with symptomatic ICAS after successful stent placement.

Frontiers in NeurologyVol. 16
Hebei Medical University (CN), Hebei North University (CN), Hebei General Hospital (CN), First Hospital of Shijiazhuang (CN)
Reduced inequalities
Openalex Percentile: Top 85%
Cerebrovascular and Carotid Artery Diseases
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