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Extracranial Internal Carotid Artery Tortuosity and Body Mass Index

Overview of attention for article published in Frontiers in Neurology, September 2017
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Title
Extracranial Internal Carotid Artery Tortuosity and Body Mass Index
Published in
Frontiers in Neurology, September 2017
DOI 10.3389/fneur.2017.00508
Pubmed ID
Authors

Hai-Feng Wang, Da-Ming Wang, Jun-Jie Wang, Li-Jun Wang, Jun Lu, Peng Qi, Shen Hu, Xi-Meng Yang, Kun-Peng Chen

Abstract

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. 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]. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 12%
Researcher 3 9%
Other 3 9%
Student > Ph. D. Student 2 6%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 13 39%
Readers by discipline Count As %
Medicine and Dentistry 13 39%
Neuroscience 3 9%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Chemistry 1 3%
Other 1 3%
Unknown 13 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2017.
All research outputs
#20,448,386
of 23,003,906 outputs
Outputs from Frontiers in Neurology
#8,924
of 11,904 outputs
Outputs of similar age
#279,708
of 320,342 outputs
Outputs of similar age from Frontiers in Neurology
#152
of 202 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.