Evidence map›Paper›PMID 41255783›Full record

ArticleFrontiers in neurology2025

Predictive modeling of brain herniation risk factors and critical thresholds in spontaneous intracerebral hemorrhage: a pilot study.

Jinxiu Peng, Shugang Wang, Jinpeng Wang, Bing Liu, Yimei Yuan, Lishan Yin

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Article in Frontiers in neurology, 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

6 authors.

Jinxiu PengDepartment of Neurosurgery, Weifang People's Hospital, Shandong Second Medical University, Weifang, China.
Shugang WangDepartment of Immunology, Weifang Hospital of Traditional Chinese Medicine, Weifang, China.
Jinpeng WangDepartment of Neurosurgery, Weifang People's Hospital, Shandong Second Medical University, Weifang, China.
Bing LiuDepartment of Neurosurgery, Affiliated Hospital of Shandong Second Medical University, Weifang, China.
Yimei YuanDepartment of Neurosurgery, Affiliated Hospital of Shandong Second Medical University, Weifang, China.
Lishan YinDepartment of Neurosurgery, Weifang People's Hospital, Shandong Second Medical University, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patients with spontaneous intracerebral hemorrhage (sICH) could benefit from personalized treatment strategies. Developing a rational classification system is therefore essential to guide clinical decision-making. This study aimed to identify independent predictors of brain herniation in sICH patients and establish critical thresholds for these predictors, using clinical and imaging data. Methods: We retrospectively analyzed consecutive spontaneous intracerebral hemorrhage patients admitted between June 2020 and December 2023. Demographics, medical history, clinical parameters on admission, and CT findings were collected. Hematoma volume and midline shift were quantified using 3D Slicer software, while intraventricular hemorrhage was graded by the Graeb score. Brain herniation was defined by acute neurological deterioration (e.g., loss of consciousness, anisocoria, or posturing) and CT evidence of critical structural displacement (e.g., obliteration of perimesencephalic cisterns, uncal herniation). Statistical methods included receiver operating characteristic curve analysis and multivariable binary logistic regression to identify independent predictors of herniation. Results: Fifty-five patients met inclusion criteria. Among them, 58 CT scans were analyzed. Multivariable analysis identified three independent predictors of cerebral herniation in basal ganglia/thalamic hemorrhages: hematoma volume >64 mL (adjusted OR = 14.67; 95% CI: 1.44-149.82; Conclusion: Among four midline structures analyzed, midline shift at the interventricular foramen was the strongest predictor. Key herniation predictors for basal ganglia/thalamic hemorrhage comprise hematoma volume >64 mL, midline shift at the interventricular foramen >11 mm, and Graeb score.

Indexed as

basal ganglia/thalamic hemorrhagebrain herniationhematoma volumeintraventricular hemorrhagemidline shiftspontaneous intracerebral hemorrhage

Identifiers

PMID41255783
PMCPMC12621274

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