Evidence map›Paper›PMID 39845940›Full record

ArticleFrontiers in neurology2024

Changes in hematoma volume following aneurysmal subarachnoid hemorrhage and its impact on patient prognosis.

Zhenshan Huang, Feng Qian, Kui Ma, Guowei Jiang, Lianfu Zhang, Yongming Zhang

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Article in Frontiers in neurology, 2024. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhenshan HuangDepartment of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Feng QianDepartment of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Kui MaDepartment of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Guowei JiangDepartment of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Lianfu ZhangDepartment of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.
Yongming ZhangDepartment of Neurosurgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the effects of preoperative intracerebral hematoma volume (HVpre), hematoma volume 6-8 days post-surgery (HVpost), and the rate of hematoma volume change (HVpre-HVpost)/HVpre on the prognosis of patients with aneurysmal subarachnoid hemorrhage (aSAH). Materials and methods: CT imaging data from 62 aSAH patients admitted to our hospital's Neurosurgery Department between January 2022 and December 2023 were obtained, both preoperatively and 6-8 days postoperatively. The hematoma volumes were measured using 3D-Slicer. Patients' recovery at 3 months post-discharge was assessed using the Modified Rankin Scale (mRS), categorizing the patients into a good prognosis group (mRS score 1-2) and a poor prognosis group (mRS score 3-5). Multivariate logistic regression analysis was conducted to identify independent risk factors for poor prognosis. Statistical methods were employed to compare preoperative and postoperative hematoma volumes with commonly used clinical scores. The predictive value of HVpre and HVpost for poor prognosis was evaluated using ROC curves. The rate of volume change was stratified by interquartile ranges, and the impact of different change rates on prognosis was compared. Results: Significant differences were found between good and poor prognosis groups in age, GCS score, Hunt-Hess grade, mFisher grade, BVpre, BVpost, and (HVpre-HVpost)/HVpre ( Conclusion: HVpre, HVpost, and (HVpre-HVpost)/HVpre can serve as neuroimaging biomarkers for assessing patients after aSAH and can effectively predict clinical prognosis.

Indexed as

3D-Sliceraneurysmal subarachnoid hemorrhageclinical prognosishematoma volumeneurosurgery

Identifiers

PMID39845940
PMCPMC11750693

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