ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neurological Biomarkers
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1592390
Association Between multiple serum biomarkers and cerebral vasospasm in patients with aneurysmal subarachnoid hemorrhage
Provisionally accepted
- Zigong Fourth People's Hospital, Zigong, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Background: Cerebral vasospasm (CVS) is a potentially life-threatening complication for aneurysmal subarachnoid hemorrhage (aSAH) patients, raising their risk of disability and mortality substantially. Our study aimed to investigate whether serum biomarkers collected 24 hours post-op can predict which aSAH patients would develop CVS within 14 days.We conducted a retrospective investigation of aSAH patients at our hospital during January 2020 to December 2023. For all patients, we collected comprehensive baseline information and multiple serum biomarkers. To analyze the correlation of these factors and CVS development, we applied univariate and multivariate logistic regression analysis and created a predictive model.Results: 175 aSAH patients participated in our study -84 of whom went on to develop CVS and 91 who did not. Four independent risk factors for CVS were determined through logistic regression analysis: Glasgow Coma Scale (GCS) score (OR = 4.633, 95% CI, 2.267-9.467, P < 0.001), hypoxia-inducible factor-1α (HIF-1α) (OR = 1.064, 95% CI, 1.025-1.104, P = 0.001), vascular endothelial growth factor (VEGF) (OR = 1.054, 95% CI, 1.033-1.076, P < 0.001), and endothelin-1 (ET-1) (OR = 1.151, 95% CI, 1.010-1.312, P = 0.035). When we incorporated these variables into the random forest and logistic regression predictive model, it performed exceptionally well, achieving an area under the receiver operating characteristic curve (AUC) of 0.966 and 0.959, respectively.Our findings suggest that GCS score and the biomarkers HIF-1α, VEGF, and ET-1 are independent predictors of CVS development in aSAH patients. Our predictive model based on the factors is remarkably accurate, offering clinicians a potentially valuable tool for early identification of high CVS risk patients.
Keywords: Predictive Value, Serum biomarkers, aneurysmal subarachnoid Hemorrhage, cerebral vasospasm, machine learning
Received: 12 Mar 2025; Accepted: 13 May 2025.
Copyright: © 2025 Yang, Luo, Chen, Deng and Lan. 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: Meirui Lan, Zigong Fourth People's Hospital, Zigong, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.