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Guanidino compound ratios are associated with stroke etiology, internal carotid artery stenosis and CHA2DS2-VASc score in three cross-sectional studies
- Source :
- Journal of the Neurological Sciences. 397:156-161
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Introduction Guanidino compounds, including l -homoarginine ( l -hArg), symmetric dimethylarginine (SDMA), asymmetric dimethylarginine (ADMA) and l -arginine ( l -Arg) are associated with mortality, fatal strokes, stroke incidence, and atherosclerosis. Objectives We aimed to study the association of guanidino compounds ( l -hArg/ADMA and l -hArg/SDMA) with stroke etiology, internal carotid artery (ICA) stenosis and CHA2DS2-VASc score in patients with cerebrovascular disease. Methods We analyzed l -hArg, SDMA, ADMA, l -Arg, and compound molar ratios, i.e. l -hArg/ADMA and l -hArg/SDMA, in 272 patients with cerebrovascular disease in a cross-sectional discovery cohort and two cross-sectional validation cohorts of acute stroke patients from Germany (n = 137) and UK (n = 394). The guanidino compound levels were compared with clinical, imaging, and ultrasound parameters. Results Low l -hArg/ADMA and l -hArg/SDMA molar ratios predicted territorial infarcts (OR 1.74; 95% CI 1.34–2.26 and OR 1.64; 95% CI 1.26–2.15, respectively) and were associated with stroke subtypes due to large vessel disease or cardio-embolism (OR 1.52; 95% CI 1.12–2.06 and OR 2.01; 95% CI 1.35–3.00, respectively) in meta-analysis of the discovery and validation cohort data. In line with these results, a low l -hArg/ADMA and l -hArg/SDMA molar ratio was found in patients with ICA stenosis (OR 0.73; 95% CI 0.55–0.97 and OR 0.69; 95% CI 0.50–0.94, respectively) in the discovery and validation cohort. Furthermore, guanidino compound ratios (i.e. l -hArg/ADMA and l -hArg/SDMA) were strongly correlated with CHA2DS2-VASC score (p Discussion The results from these three cross-sectional studies reveal that guanidino compound ratios (i.e. l -hArg/ADMA and l -hArg/SDMA) can discriminate stroke etiologies, predict ICA stenosis and estimate risk prediction in patients with cerebrovascular disease.
- Subjects :
- medicine.medical_specialty
Stroke etiology
Cross-sectional study
business.industry
medicine.disease
Gastroenterology
03 medical and health sciences
chemistry.chemical_compound
Stenosis
0302 clinical medicine
Neurology
chemistry
Internal medicine
medicine.artery
CHA2DS2–VASc score
Cohort
medicine
030212 general & internal medicine
Neurology (clinical)
Internal carotid artery
Asymmetric dimethylarginine
business
Stroke
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 0022510X
- Volume :
- 397
- Database :
- OpenAIRE
- Journal :
- Journal of the Neurological Sciences
- Accession number :
- edsair.doi...........786b6906f5709e4ae77827f8d1238a68
- Full Text :
- https://doi.org/10.1016/j.jns.2018.12.037