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. 2025 Jun 5:16:1592390.
doi: 10.3389/fneur.2025.1592390. eCollection 2025.

Association between multiple serum biomarkers and cerebral vasospasm in patients with aneurysmal subarachnoid hemorrhage

Chenghao Yang  1 , Fei Luo  1 , Xi Chen  1 , Yunliang Deng  1 , Meirui Lan  1
Affiliations

Association between multiple serum biomarkers and cerebral vasospasm in patients with aneurysmal subarachnoid hemorrhage

Chenghao Yang et al. Front Neurol. .

Abstract

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 h post-op can predict which aSAH patients would develop CVS within 14 days.

Methods: 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.

Conclusion: 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: aneurysmal subarachnoid hemorrhage; cerebral vasospasm; machine learning; predictive value; serum biomarkers.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow diagram depicting the participant selection process.
Figure 2
Figure 2
Comparison of serum MCP-1, HIF-1α, VEGF, and ET-1 levels in patients with aSAH.
Figure 3
Figure 3
ROC curve for combined prediction model.
See this image and copyright information in PMC

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References

    1. Wolf S, Mielke D, Barner C, Malinova V, Kerz T, Wostrack M, et al. Effectiveness of lumbar cerebrospinal fluid drain among patients with aneurysmal subarachnoid hemorrhage: a randomized clinical trial. JAMA Neurol. (2023) 80:833–42. doi: 10.1001/jamaneurol.2023.1792, PMID: - DOI - PMC - PubMed
    1. Hoh BL, Ko NU, Amin-Hanjani S, Chou SHY, Cruz-Flores S, Dangayach NS, et al. 2023 guideline for the Management of Patients with Aneurysmal Subarachnoid Hemorrhage: a guideline from the American Heart Association/American Stroke Association. Stroke. (2023) 54:e314–70. doi: 10.1161/STR.0000000000000436, PMID: - DOI - PubMed
    1. Wang WX, Springer JE, Hatton KW. Micro RNAs as biomarkers for predicting complications following aneurysmal subarachnoid hemorrhage. Int J Mol Sci. (2021) 22:9492. doi: 10.3390/ijms22179492, PMID: - DOI - PMC - PubMed
    1. Ma YH, Shang R, Li SH, Wang T, Lin S, Zhang CW. Efficacy of endovascular therapy for cerebral vasospasm following aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. Front Neurol. (2024) 15:1360511. doi: 10.3389/fneur.2024.1360511, PMID: - DOI - PMC - PubMed
    1. Robba C, Busl KM, Claassen J, Diringer MN, Helbok R, Park S, et al. Contemporary management of aneurysmal subarachnoid haemorrhage. An update for the intensivist. Intensive Care Med. (2024) 50:646–64. doi: 10.1007/s00134-024-07387-7, PMID: - DOI - PMC - PubMed

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