Cargando…
Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis
BACKGROUND AND PURPOSE: Hematoma expansion (HE) is related to clinical deterioration after intracerebral hemorrhage (ICH) and noncontrast computed tomography (NCCT) signs are indicated as predictors for HE but with inconsistent conclusions. We aim to clarify the correlations of NCCT heterogeneity si...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818889/ https://www.ncbi.nlm.nih.gov/pubmed/29546065 http://dx.doi.org/10.1155/2018/6038193 |
_version_ | 1783301101998571520 |
---|---|
author | Zhang, Danfeng Chen, Jigang Xue, Qiang Du, Bingying Li, Ya Chen, Tao Jiang, Ying Hou, Lijun Dong, Yan Wang, Junyu |
author_facet | Zhang, Danfeng Chen, Jigang Xue, Qiang Du, Bingying Li, Ya Chen, Tao Jiang, Ying Hou, Lijun Dong, Yan Wang, Junyu |
author_sort | Zhang, Danfeng |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Hematoma expansion (HE) is related to clinical deterioration after intracerebral hemorrhage (ICH) and noncontrast computed tomography (NCCT) signs are indicated as predictors for HE but with inconsistent conclusions. We aim to clarify the correlations of NCCT heterogeneity signs with HE by meta-analysis of related studies. METHODS: PubMed, Embase, and Cochrane library were searched for eligible studies exploring the relationships between NCCT heterogeneity signs (hypodensity, mixed density, swirl sign, blend sign, and black hole sign) and HE. Poor outcome and mortality were considered as secondary outcomes. Odds ratio (OR) and its 95% confidence intervals (CIs) were selected as the effect size and combined using random effects model. RESULTS: Fourteen studies were included, involving 3240 participants and 435 HEs. The summary results suggested statistically significant correlations of heterogeneity signs with HE (OR, 5.17; 95% CI, 3.72–7.19, P < 0.001), poor outcome (OR, 3.60; 95% CI, 1.98–6.54, P < 0.001), and mortality (OR, 4.64; 95%, 2.96–7.27, P < 0.001). CONCLUSIONS: Our findings suggested that hematoma heterogeneity signs on NCCT were positively associated with the increased risk of HE, poor outcome, and mortality rate in ICH. |
format | Online Article Text |
id | pubmed-5818889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-58188892018-03-15 Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis Zhang, Danfeng Chen, Jigang Xue, Qiang Du, Bingying Li, Ya Chen, Tao Jiang, Ying Hou, Lijun Dong, Yan Wang, Junyu Biomed Res Int Review Article BACKGROUND AND PURPOSE: Hematoma expansion (HE) is related to clinical deterioration after intracerebral hemorrhage (ICH) and noncontrast computed tomography (NCCT) signs are indicated as predictors for HE but with inconsistent conclusions. We aim to clarify the correlations of NCCT heterogeneity signs with HE by meta-analysis of related studies. METHODS: PubMed, Embase, and Cochrane library were searched for eligible studies exploring the relationships between NCCT heterogeneity signs (hypodensity, mixed density, swirl sign, blend sign, and black hole sign) and HE. Poor outcome and mortality were considered as secondary outcomes. Odds ratio (OR) and its 95% confidence intervals (CIs) were selected as the effect size and combined using random effects model. RESULTS: Fourteen studies were included, involving 3240 participants and 435 HEs. The summary results suggested statistically significant correlations of heterogeneity signs with HE (OR, 5.17; 95% CI, 3.72–7.19, P < 0.001), poor outcome (OR, 3.60; 95% CI, 1.98–6.54, P < 0.001), and mortality (OR, 4.64; 95%, 2.96–7.27, P < 0.001). CONCLUSIONS: Our findings suggested that hematoma heterogeneity signs on NCCT were positively associated with the increased risk of HE, poor outcome, and mortality rate in ICH. Hindawi 2018-01-10 /pmc/articles/PMC5818889/ /pubmed/29546065 http://dx.doi.org/10.1155/2018/6038193 Text en Copyright © 2018 Danfeng Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Zhang, Danfeng Chen, Jigang Xue, Qiang Du, Bingying Li, Ya Chen, Tao Jiang, Ying Hou, Lijun Dong, Yan Wang, Junyu Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis |
title | Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis |
title_full | Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis |
title_fullStr | Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis |
title_full_unstemmed | Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis |
title_short | Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis |
title_sort | heterogeneity signs on noncontrast computed tomography predict hematoma expansion after intracerebral hemorrhage: a meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818889/ https://www.ncbi.nlm.nih.gov/pubmed/29546065 http://dx.doi.org/10.1155/2018/6038193 |
work_keys_str_mv | AT zhangdanfeng heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT chenjigang heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT xueqiang heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT dubingying heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT liya heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT chentao heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT jiangying heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT houlijun heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT dongyan heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis AT wangjunyu heterogeneitysignsonnoncontrastcomputedtomographypredicthematomaexpansionafterintracerebralhemorrhageametaanalysis |