| Title |
Biomarkers Related to Carotid Intima-Media Thickness and Plaques in Long-Term Survivors of Ischemic Stroke
|
|---|---|
| Published in |
Translational Stroke Research, May 2015
|
| DOI | 10.1007/s12975-015-0403-0 |
| Pubmed ID | |
| Authors |
Ulrike Waje-Andreassen, Halvor Naess, Lars Thomassen, Tove Helene Maroy, Kibret Yimer Mazengia, Geir Egil Eide, Christian Alexander Vedeler |
| Abstract |
Lifestyle risk factors, inflammation and genetics play a role in the development of atherosclerosis. We therefore studied Fc gamma receptor (FcγR) polymorphisms, interleukin (IL)-10 polymorphisms and other biomarkers related to carotid intima-media thickness (cIMT) in patients with ischemic stroke at a young age. Patients were evaluated 12 years after stroke occurrence. Patients (n = 232) 49 years of age or younger with an index stroke between 1988 and 1997 were retrospectively selected. Blood samples were taken at a first follow-up 6 years after the stroke. At a second follow-up, additional arterial events were registered for 140 patients, new blood samples were taken, and measurements of cIMT and blood pressure (BP) were performed. Unadjusted logistic regression analysis showed that cIMT ≥1 mm was associated with age, male gender, additional arterial events, BP, cholesterol, sedimentation rate, haemoglobin, triglycerides, creatinine, glycolysed haemoglobin (HbA1c) and FcγRIIIB-NaII/NaII. Adjusted backward stepwise logistic regression showed significance for age (odds ratio (OR) 1.13, 95 % confidence interval (CI) 1.04 to1.23, p = 0.003), male gender (OR 4.07, 95 % CI 1.15 to 14.5, p = 0.030), HbA1c (OR 6.65, 95 % CI 1.21 to 36.5, p = 0.029) and FcγRIIIB-NaII/NaII (OR 3.94, 95 % CI 1.08 to 14.3, p = 0.037). In this long-term follow-up study of patients with ischemic stroke at a young age, FcγRIIIB-NaII/NaII was identified as a possible contributing factor for cIMT ≥1 mm together with known risk factors, such as age, male gender, systolic BP, additional arterial events and HbA1c. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Student > Master | 4 | 15% |
| Lecturer | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 37% |
| Immunology and Microbiology | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 7 | 26% |
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 23 March 2016.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Translational Stroke Research
#352
of 438 outputs
Outputs of similar age
#222,567
of 264,541 outputs
Outputs of similar age from Translational Stroke Research
#4
of 6 outputs
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