Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers

A predictive model for END was developed using the serological markers t-PAIC (male >17.13 ng/mL;female >10.52 ng/mL), PIC >0.85 µg/mL, Lymph ≤ 3.2×10^9/L, NIHSS, age, and platelet. The model has significant predictive value for END occurrence in patients with AIS.

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Publication Details

Journal
Brain and Behavior
Published
2025-05-01
DOI
https://doi.org/10.1002/brb3.70577
Citations
4
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
5.42
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article

Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers

Lin Li, Zehan Li, Changfei Dai, Xiyang Ji et al.
4 citations
Brain and Behavior
Acute Ischemic Stroke Management
5.42
article

Predictive Model for Early Neurological Deterioration in Acute Ischemic Stroke Utilizing Novel Thrombotic Biomarkers

Lin Li, Zehan Li, Changfei Dai, Xiyang Ji, Wen Liu, Hao Zhu, Wenjin Yu, Wei Dong, Yifei Zhao, Bin Yan, Ping Chen
article en
4 citations

Abstract

A predictive model for END was developed using the serological markers t-PAIC (male >17.13 ng/mL;female >10.52 ng/mL), PIC >0.85 µg/mL, Lymph ≤ 3.2×10^9/L, NIHSS, age, and platelet. The model has significant predictive value for END occurrence in patients with AIS.

Brain and BehaviorVol. 15(5)
Xian Yang Central Hospital (CN)
Good health and well-being
Openalex Percentile: Top 4%
Acute Ischemic Stroke Management
5.42
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