Evidence map›Paper›PMID 40343426›Full record

ArticleBrain and behavior2025

Identification of Risk Factors Influencing Hemorrhage Volume in Aneurysmal Subarachnoid Hemorrhage: A Multicenter Retrospective Study.

Chenglong Li, Yuan Wang, Tangming Peng, Jiangnan Wu, Hongyu Wang, Jian Song, Di Zhao, Guang Feng, Lei Chen

Abstract readMulticenter Study
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chenglong LiDepartment of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, Shaanxi, China.
Yuan WangDepartment of Neurosurgery, Tangshan Gongren Hospital, Tangshan, Hebei, China.
Tangming PengDepartment of Neurosurgery, Chengdu Fifth People's Hospital, The Fifth People's Hospital Affiliated to Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jiangnan WuDepartment of Artificial Intelligence, Tianjin University of Technology, Tianjin, China.
Hongyu WangDepartment of Neurosurgery, Tangshan Gongren Hospital, Tangshan, Hebei, China.
Jian SongDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Di ZhaoDepartment of Neurosurgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.ORCID https://orcid.org/0009-0009-7959-8837
Guang FengThe Neurosurgical Intensive Care Unit, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Lei ChenDepartment of Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis multicenter retrospective study aimed to identify significant risk factors influencing hemorrhage volume in patients with aneurysmal subarachnoid hemorrhage (SAH).

methodsA total of 891 patients diagnosed with SAH were included from multiple medical centers. Data encompassing demographic characteristics, medical history, clinical parameters at admission, and radiographic findings were collected and analyzed. Univariate and multivariate logistic regression analyses were conducted to investigate associations between various risk factors and hemorrhage volume.

resultsThis study identifies several factors significantly associated with increased hemorrhage volume in patients with subarachnoid hemorrhage (SAH). Multivariate analysis revealed that diabetes (P = 0.022), hypertension (P = 0.047), and saccular aneurysm morphology (P = 0.008) were independent risk factors for high hemorrhage volume. Additionally, larger aneurysm size (maximum diameter: P = 0.007, neck diameter: P = 0.021) and higher systolic blood pressure after onset (P = 0.002) were also significant predictors of increased hemorrhage volume. Factors such as age (P = 0.05) and time interval to the first CT scan (P = 0.022) were found to be associated with hemorrhage volume in univariate analysis but did not maintain independent significance in multivariate regression.

conclusionThis study highlights key risk factors, including diabetes, hypertension, and saccular aneurysm morphology, which independently contribute to higher hemorrhage volume in SAH patients. Management strategies focusing on early detection and control of these factors may improve clinical outcomes by reducing the risk of hemorrhagic complications. While other factors such as age and time interval to the first CT scan were associated with hemorrhage volume, they did not demonstrate independent causality in the multivariate analysis, suggesting that their role in hemorrhage volume may be secondary or context-dependent.

Indexed as

Intracranial AneurysmSubarachnoid HemorrhageAdultAgedFemaleHumansHypertensionMaleMiddle AgedRetrospective StudiesRisk FactorsTomography, X-Ray Computedaneurysmal subarachnoid hemorrhageaneurysm morphologydiabeteshemorrhage volumehypertensionrisk factors

Identifiers

PMID40343426
PMCPMC12060222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.