Literature DB >> 29548961

Hematoma Heterogeneity on Noncontrast Computed Tomography Predicts Intracerebral Hematoma Expansion: A Meta-Analysis.

Danfeng Zhang1, Jigang Chen1, Jiaming Guo2, Ying Jiang1, Yan Dong3, Benjamin Ping-Chi Chen4, Junyu Wang5, Lijun Hou6.   

Abstract

BACKGROUND: Hematoma expansion (HE) is independently associated with clinical outcome after intracerebral hemorrhage (ICH). Hematoma heterogeneity on noncontrast computed tomography (NCCT) is reportedly predictive of HE, but conclusions are inconsistent. We sought to clarify the relationship between hematoma heterogeneity and HE by pooling the pertinent publications.
METHODS: The Cochrane Library, PubMed, and Embase were searched for related studies examining the correlation of HE with hematoma heterogeneity, and the secondary endpoint was defined as poor outcome. The effect size was odds ratio (OR) with its 95% confidence interval (CI). Results from each study were pooled using a random-effects model.
RESULTS: Ten studies were included with a total of 5931 patients and 675 HEs. We detected a statistically significant association between NCCT heterogeneity and HE (OR, 2.55; 95% CI, 1.82-3.56; P < 0.001), while the correlation with poor outcome was nonsignificant (OR, 1.20; 95% CI, 0.94-1.54, P = 0.15).
CONCLUSIONS: Our findings indicate that hematoma heterogeneity on NCCT is positively associated with an increased risk of HE. The relationship between hematoma heterogeneity and poor outcome merits evaluation in further prospective studies.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hematoma expansion; Hematoma heterogeneity; Intracerebral hemorrhage; Noncontrast computed tomography; Poor outcome

Mesh:

Year:  2018        PMID: 29548961     DOI: 10.1016/j.wneu.2018.03.048

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  2 in total

1.  The Attenuation Value Within the Non-hypodense Region on Non-contrast Computed Tomography of Spontaneous Cerebral Hemorrhage: A Long-Neglected Predictor of Hematoma Expansion.

Authors:  Yong Chen; Dan Cao; Zheng-Qian Guo; Xiao-Ling Ma; Yi-Bo Ou; Yue He; Xu Chen; Jian Chen
Journal:  Front Neurol       Date:  2022-04-08       Impact factor: 4.003

2.  Longitudinal, Quantitative, Multimodal MRI Evaluation of Patients With Intracerebral Hemorrhage Over the First Year.

Authors:  Muhammad E Haque; Seth B Boren; Octavio D Arevalo; Reshmi Gupta; Sarah George; Maria A Parekh; Xiurong Zhao; Jaraslow Aronowski; Sean I Savitz
Journal:  Front Neurol       Date:  2021-11-30       Impact factor: 4.003

  2 in total

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