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Extracranial Internal Carotid Artery Tortuosity and Body Mass Index
BACKGROUND: Extracranial internal carotid artery (eICA) tortuosity may trigger cerebral ischemia, and body mass index (BMI) is a measure of body mass based on height and weight. The main purpose of this study is to determine the influence of BMI on the tortuosity of eICA. METHODS: A total of 926 car...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622293/ https://www.ncbi.nlm.nih.gov/pubmed/28993755 http://dx.doi.org/10.3389/fneur.2017.00508 |
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author | Wang, Hai-Feng Wang, Da-Ming Wang, Jun-Jie Wang, Li-Jun Lu, Jun Qi, Peng Hu, Shen Yang, Xi-Meng Chen, Kun-Peng |
author_facet | Wang, Hai-Feng Wang, Da-Ming Wang, Jun-Jie Wang, Li-Jun Lu, Jun Qi, Peng Hu, Shen Yang, Xi-Meng Chen, Kun-Peng |
author_sort | Wang, Hai-Feng |
collection | PubMed |
description | BACKGROUND: Extracranial internal carotid artery (eICA) tortuosity may trigger cerebral ischemia, and body mass index (BMI) is a measure of body mass based on height and weight. The main purpose of this study is to determine the influence of BMI on the tortuosity of eICA. METHODS: A total of 926 carotid artery angiograms were performed in 513 patients, of which 116 cases and matched controls were selected. Arterial tortuosity was defined as simple tortuosity, kinking, or coiling. The severity of tortuosity was measured by tortuosity index, formula: [(actual length/straight-line length − 1) × 100]. RESULTS: BMIs were different between the two groups [tortuosity: 27.06 kg/m(2) (SD 2.81 kg/m(2)) versus none: 23.3 kg/m(2) (SD 2.78 kg/m(2)); p < 0.001]. BMI was independently and significantly associated with eICA tortuosity (odds ratio 1.59; 95% confidence interval, 1.35–1.86; p < 0.001). eICA tortuosity index is linearly associated with BMI (exponential coefficient β = 1.067, p < 0.001). The optimal predictive threshold of BMI for eICA tortuosity was 25.04 kg/m(2). The physiological mechanism underlying the reasons why higher BMI has negative influence on extracranial carotid artery tortuosity may be an intra-abdominal hypertension caused by a much higher amount of body fat stored in visceral adipose tissue. CONCLUSION: Our result reveals a novel role for greater BMI on the presence of eICA tortuosity. For each increase in BMI of 1 kg/m(2), there is a corresponding 1.59-fold increase in the risk of developing eICA tortuosity. The severity of eICA tortuosity increases linearly with increased BMI. |
format | Online Article Text |
id | pubmed-5622293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56222932017-10-09 Extracranial Internal Carotid Artery Tortuosity and Body Mass Index Wang, Hai-Feng Wang, Da-Ming Wang, Jun-Jie Wang, Li-Jun Lu, Jun Qi, Peng Hu, Shen Yang, Xi-Meng Chen, Kun-Peng Front Neurol Neuroscience BACKGROUND: Extracranial internal carotid artery (eICA) tortuosity may trigger cerebral ischemia, and body mass index (BMI) is a measure of body mass based on height and weight. The main purpose of this study is to determine the influence of BMI on the tortuosity of eICA. METHODS: A total of 926 carotid artery angiograms were performed in 513 patients, of which 116 cases and matched controls were selected. Arterial tortuosity was defined as simple tortuosity, kinking, or coiling. The severity of tortuosity was measured by tortuosity index, formula: [(actual length/straight-line length − 1) × 100]. RESULTS: BMIs were different between the two groups [tortuosity: 27.06 kg/m(2) (SD 2.81 kg/m(2)) versus none: 23.3 kg/m(2) (SD 2.78 kg/m(2)); p < 0.001]. BMI was independently and significantly associated with eICA tortuosity (odds ratio 1.59; 95% confidence interval, 1.35–1.86; p < 0.001). eICA tortuosity index is linearly associated with BMI (exponential coefficient β = 1.067, p < 0.001). The optimal predictive threshold of BMI for eICA tortuosity was 25.04 kg/m(2). The physiological mechanism underlying the reasons why higher BMI has negative influence on extracranial carotid artery tortuosity may be an intra-abdominal hypertension caused by a much higher amount of body fat stored in visceral adipose tissue. CONCLUSION: Our result reveals a novel role for greater BMI on the presence of eICA tortuosity. For each increase in BMI of 1 kg/m(2), there is a corresponding 1.59-fold increase in the risk of developing eICA tortuosity. The severity of eICA tortuosity increases linearly with increased BMI. Frontiers Media S.A. 2017-09-25 /pmc/articles/PMC5622293/ /pubmed/28993755 http://dx.doi.org/10.3389/fneur.2017.00508 Text en Copyright © 2017 Wang, Wang, Wang, Wang, Lu, Qi, Hu, Yang and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wang, Hai-Feng Wang, Da-Ming Wang, Jun-Jie Wang, Li-Jun Lu, Jun Qi, Peng Hu, Shen Yang, Xi-Meng Chen, Kun-Peng Extracranial Internal Carotid Artery Tortuosity and Body Mass Index |
title | Extracranial Internal Carotid Artery Tortuosity and Body Mass Index |
title_full | Extracranial Internal Carotid Artery Tortuosity and Body Mass Index |
title_fullStr | Extracranial Internal Carotid Artery Tortuosity and Body Mass Index |
title_full_unstemmed | Extracranial Internal Carotid Artery Tortuosity and Body Mass Index |
title_short | Extracranial Internal Carotid Artery Tortuosity and Body Mass Index |
title_sort | extracranial internal carotid artery tortuosity and body mass index |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622293/ https://www.ncbi.nlm.nih.gov/pubmed/28993755 http://dx.doi.org/10.3389/fneur.2017.00508 |
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