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Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents
The heterogeneity of brain perfusion is related to the risk factors of thromboembolic events such as antiphospholipid syndrome. However, the effectiveness of brain perfusion heterogeneity as a marker to predict thromboembolic events has not been confirmed. Our objective was to evaluate the effective...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052039/ https://www.ncbi.nlm.nih.gov/pubmed/33847685 http://dx.doi.org/10.1097/MD.0000000000025557 |
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author | Lin, Ting-Syuan Hsu, Pei-Ying Ko, Chi-Lun Kuo, Yu-Min Lu, Cheng-Hsun Shen, Chieh-Yu Hsieh, Song-Chou |
author_facet | Lin, Ting-Syuan Hsu, Pei-Ying Ko, Chi-Lun Kuo, Yu-Min Lu, Cheng-Hsun Shen, Chieh-Yu Hsieh, Song-Chou |
author_sort | Lin, Ting-Syuan |
collection | PubMed |
description | The heterogeneity of brain perfusion is related to the risk factors of thromboembolic events such as antiphospholipid syndrome. However, the effectiveness of brain perfusion heterogeneity as a marker to predict thromboembolic events has not been confirmed. Our objective was to evaluate the effectiveness of brain perfusion heterogeneity as a marker to predict the development of cerebrovascular accidents. In this retrospective cohort study, patients who underwent Tc-99m ECD brain SPECT from January 1, 2006 through December 31, 2008 were included. Each study was reoriented with the Talairach space provided by the NeuroGam Software package. Heterogeneity of brain perfusion was measured as the coefficient of variation. The study outcome was the risk of cerebral vascular accidents in patients with increased heterogeneity of brain perfusion between January 1, 2006 and December 31, 2015. A multiple Cox proportional hazards model was applied to evaluate the risk of cerebrovascular accidents. A total of 70 patients were included in this study. The median age was 39 years (range, 28 – 59 years). There were 55 (78.6%) women. For increased heterogeneity of brain perfusion, the hazard ratio of cerebrovascular accidents was 2.68 (95% CI, 1.41 – 5.09; P = .003) after adjusting for age, sex, hypertension, diabetes mellitus, and dyslipidemia. Our study suggests that increased heterogeneity of brain perfusion is associated with an increased risk of cerebrovascular accidents. |
format | Online Article Text |
id | pubmed-8052039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-80520392021-04-19 Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents Lin, Ting-Syuan Hsu, Pei-Ying Ko, Chi-Lun Kuo, Yu-Min Lu, Cheng-Hsun Shen, Chieh-Yu Hsieh, Song-Chou Medicine (Baltimore) 6800 The heterogeneity of brain perfusion is related to the risk factors of thromboembolic events such as antiphospholipid syndrome. However, the effectiveness of brain perfusion heterogeneity as a marker to predict thromboembolic events has not been confirmed. Our objective was to evaluate the effectiveness of brain perfusion heterogeneity as a marker to predict the development of cerebrovascular accidents. In this retrospective cohort study, patients who underwent Tc-99m ECD brain SPECT from January 1, 2006 through December 31, 2008 were included. Each study was reoriented with the Talairach space provided by the NeuroGam Software package. Heterogeneity of brain perfusion was measured as the coefficient of variation. The study outcome was the risk of cerebral vascular accidents in patients with increased heterogeneity of brain perfusion between January 1, 2006 and December 31, 2015. A multiple Cox proportional hazards model was applied to evaluate the risk of cerebrovascular accidents. A total of 70 patients were included in this study. The median age was 39 years (range, 28 – 59 years). There were 55 (78.6%) women. For increased heterogeneity of brain perfusion, the hazard ratio of cerebrovascular accidents was 2.68 (95% CI, 1.41 – 5.09; P = .003) after adjusting for age, sex, hypertension, diabetes mellitus, and dyslipidemia. Our study suggests that increased heterogeneity of brain perfusion is associated with an increased risk of cerebrovascular accidents. Lippincott Williams & Wilkins 2021-04-16 /pmc/articles/PMC8052039/ /pubmed/33847685 http://dx.doi.org/10.1097/MD.0000000000025557 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 6800 Lin, Ting-Syuan Hsu, Pei-Ying Ko, Chi-Lun Kuo, Yu-Min Lu, Cheng-Hsun Shen, Chieh-Yu Hsieh, Song-Chou Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
title | Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
title_full | Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
title_fullStr | Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
title_full_unstemmed | Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
title_short | Increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
title_sort | increased heterogeneity of brain perfusion predicts the development of cerebrovascular accidents |
topic | 6800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052039/ https://www.ncbi.nlm.nih.gov/pubmed/33847685 http://dx.doi.org/10.1097/MD.0000000000025557 |
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