Dynamic Changes in Serum Glial Fibrillary Acidic Protein Levels Predicts Early Neurological Deterioration After Intravenous Thrombolysis in Minor Stroke
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Minor strokes may be associated with early neurological deterioration (END) and disabilities. The objective was to investigate the role of serum glial fibrillary acidic protein (GFAP) levels in predicting END. METHODS: Data originated from a multicenter cohort study conducted prospectively. ΔGFAP was calculated as the ratio of post-thrombolysis GFAP at 24 h to baseline GFAP. Univariable and multivariable binary logistic regression analyses were performed to assess the association between ∆GFAP and END, and a nomogram was established to illustrate its predictive value. RESULTS: END occurred in 20 (7.35%) of the 272 patients with minor stroke who underwent intravenous thrombolysis (IVT). Elevated ∆GFAP was independently associated with END (OR, 3.50; 95% CI, 1.67 to 7.31; p < 0.001), even after adjusting for confounders (adjusted OR, 4.64; 95% CI, 1.86 to 11.54; p < 0.001). Furthermore, a model combining ∆GFAP, age, and National Institutes of Health Stroke Scale (NIHSS) score at admission demonstrated a good predictive value for END (AUC = 0.77; 95% CI, 0.67 to 0.89). INTERPRETATION: ∆GFAP is a strong, independent predictor of END in patients with minor strokes. Integrating ∆GFAP, age, and NIHSS score into a prognostic model results in a good discriminative ability for predicting END.
DOI: 10.1002/acn3.70552
Authors: Jie Zhou, Yang Qu, Reziya Abuduxukuer, Peng Zhang, Ting Wang, Jian‐Hua Gao, De‐Wang Pan, Zhi‐Mei Yuan, Chun‐Ying Li, Li‐Ping Chen, Jin‐Hua Chen, Ji‐Liang Gu, An‐Ying Wang, Li‐Gang Jiang, Liang Liu, Yong‐Fei Jiang, Chun‐Fei Wang, Yan Jia, Hong Xin, Chun‐Li Jiang, Ying‐Bin Qi, Xue‐Feng Hu, Song Li, Hang Jin, Zhen‐Ni Guo, Yi Yang, the Biomarkers of Brain Injury Investigator Study Group
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,100
OpenAlex ID: W7222992912