scholarly journals Association between serum uric acid and ischemic stroke in patients with nonvalvular paroxysmal atrial fibrillation

2017 ◽  
Vol 3 (3-4) ◽  
pp. 118-121 ◽  
Author(s):  
Nermin Bayar ◽  
Selcuk Küçükseymen ◽  
Ramazan Güven ◽  
Zehra Erkal ◽  
Erkan Köklü ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Uric Acid ◽  
Ischemic Stroke ◽  
Serum Uric Acid ◽  
Paroxysmal Atrial Fibrillation

The Role of HbA1c on Mortality in Patients with Medical History of Ischemic Stroke and Paroxysmal Atrial Fibrillation

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2406-PUB
Author(s):  
KONSTANTINA KANELLOPOULOU ◽  
IOANNIS L. MATSOUKIS ◽  
ASIMINA GANOTOPOULOU ◽  
THEODORA ATHANASOPOULOU ◽  
CHRYSOULA TRIANTAFILLOPOULOU ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Medical History ◽  
Paroxysmal Atrial Fibrillation ◽  
History Of

Serum uric acid and risk of ischemic stroke: The ARIC Study

2006 ◽  
Vol 187 (2) ◽  
pp. 401-407 ◽  
Author(s):  
Atsushi Hozawa ◽  
Aaron R. Folsom ◽  
Hassan Ibrahim ◽  
F. Javier Nieto ◽  
Wayne D. Rosamond ◽  
...  
Keyword(s):  
Uric Acid ◽  
Ischemic Stroke ◽  
Serum Uric Acid ◽  
Aric Study

scholarly journals Detection of Subclinical Paroxysmal Atrial Fibrillation and Its Correlation with Candidate Genes in Patients with Cryptogenic Ischemic Stroke and TIA

2021 ◽  
Vol 21 (2) ◽  
pp. 42-53
Author(s):  
A Petrovicova ◽  
E Kurca ◽  
A Andrasova ◽  
J Bernatova ◽  
P Blasko ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Paroxysmal Atrial Fibrillation ◽  
Cryptogenic Stroke ◽  
Preventive Treatment ◽  
Correct Choice ◽  
Control Group ◽  
Nucleotide Polymorphisms ◽  
Loop Recorder ◽  
Ischemic Attack

Abstract Introduction: Cardioembolic etiology is assumed to be the most frequent cause of cryptogenic strokes. The detection of subclinical paroxysmal atrial fibrillation (AF) is important in the correct choice of preventive treatment. The aim of this prospective study was to detect the incidence of AF in patients with a cryptogenic stroke or transient ischemic attack (TIA) and to evaluate the association between the presence of AF and selected single-nucleotide polymorphisms (SNP). Methods: Patients with a cryptogenic stroke/ TIA (n=100) and a control group (n=15) of volunteers without significant cardiovascular disease were included in the study during the period of 2014 to 2019. To detect AF they underwent 12 months of ECG monitoring using an implanted loop recorder (ILR). Genotyping for SNPs rs10033464, rs2200733, rs225132, and rs2106261 was performed by a high resolution melting analysis. Results: We found AF to be present in 24 (24%) patients with a cryptogenic stroke/TIA, versus no subjects in the control group. The SNPs rs2106261, rs2200733, rs225132, and rs10033464 were not found to be associated with AF in our study (p=0.240; 1.000; 0.887; 0.589). However, a weak trend for a higher frequency of rs2106261 risk allele A homozygotes was observed in the patients with AF compared to the patients without AF (0.416 vs. 0.263, p=0.073). Homozygotes for allele A of rs2106261 were also present in a significantly higher frequency in AF patients compared to the controls (0.416 vs. 0.133, p = 0.012). Conclusion: In our study paroxysmal AF was a probable etiological factor in 24% of patients with cryptogenic ischemic stroke / TIA during the 12 months of monitoring. The homozygous allele A of rs2106261 was identified to be the possible genetic risk factor of AF, but this should be verified in larger cohorts. The study has been registered at www.clinicaltrials.gov, identifier NCT02216370.

scholarly journals Serum uric acid in patients with ischemic stroke

2018 ◽  
Vol 7 (1) ◽  
pp. 25
Author(s):  
Bhimasen Soren ◽  
Srinivas Sri
Keyword(s):  
Uric Acid ◽  
Ischemic Stroke ◽  
Serum Uric Acid

Abstract WP135: Sinus Bradycardia as a Potential Predictive Factor for Paroxysmal Atrial Fibrillation in Stroke Patients

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Takao Hoshino ◽  
Kentaro Ishiduka ◽  
Takehiko Nagao ◽  
Satoru Shimizu ◽  
Shinichiro Uchiyama
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Predictive Factors ◽  
Predictive Factor ◽  
Paroxysmal Atrial Fibrillation ◽  
Multiple Logistic Regression Analysis ◽  
Previous History ◽  
Stroke Patients ◽  
Holter Ecg ◽  
Significant Difference

Background and Purpose The detection rate of paroxysmal atrial fibrillation (PAF) in stroke patients is limited because they are often asymptomatic, or presenting sinus rhythm on ECG. To estimate the likelihood of PAF as a cause of ischemic stroke, we attempted to identify predictive factors for PAF using the data of sinus heart rate (SHR) on monitoring ECG. Methods We enrolled 711 consecutive patients admitted to our hospital with acute ischemic stroke. Exclusion criteria were (1) persistent AF; (2) cardiac pacemaker; and (3) incomplete clinical investigations. Minimum and mean SHR on 24-hour Holter ECG were obtained. The presence of PAF was judged based on previous history, initial ECG, 24-hour Holter ECG, and cardiac monitoring by inpatient telemetry. The clinical characteristics were compared between patients with and without PAF (PAF and non-PAF group, respectively), and multiple logistic regression analysis was performed to identify predictors for PAF. Results Of all enrolled patients, 577 patients were eligible for analysis, and PAF was confirmed in 110 (19.1%). Clinical parameters showing a significant difference between PAF and non-PAF groups included: age (mean, 74.1 vs. 66.6, P <0.001); dyslipidemia (32.7% vs. 50.8%, P =0.001); lack of intra- or extracranial stenosis (54.0% vs. 79.1%, P <0.001); chronic heart failure (17.3% vs. 4.9%, P <0.001); and NIHSS score (median, 8 vs. 6, P =0.002). Minimum and mean SHR were lower in PAF group than in non-PAF group (46.4 vs. 54.1 bpm, P <0.001; 71.0 vs. 73.8 bpm, P =0.021, respectively). Percentages of patients with PAF were highest in the lowest quartiles of minimum and mean SHR (Figure). Multivariate analysis showed minimum SHR as one of independent predictive factors of PAF (OR 1.08; 95% CI 1.05 to 1.12; P <0.001). Conclusions Low SHR on monitoring ECG can be a novel predictive factor for PAF in ischemic stroke patients.

Serum Uric Acid Levels in Relation to Atrial Fibrillation: A Case-Control Study

2021 ◽  
Vol 28 ◽  
Author(s):  
Xia Zhong ◽  
Huachen Jiao ◽  
Dongsheng Zhao ◽  
Jing Teng
Keyword(s):  
Atrial Fibrillation ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Case Control Study ◽  
Case Control ◽  
Control Study

scholarly journals Increased Serum Uric Acid Levels Are Correlated with Decreased Left Atrial Appendage Peak Flow Velocity in Patients with Atrial Fibrillation

2015 ◽  
Vol 24 (3) ◽  
pp. 263-268 ◽  
Author(s):  
Murat Celik ◽  
Emre Yalcinkaya ◽  
Uygar Cagdas Yuksel ◽  
Yalcin Gokoglan ◽  
Baris Bugan ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Uric Acid ◽  
Flow Velocity ◽  
Serum Uric Acid ◽  
Left Atrial ◽  
Left Atrial Appendage ◽  
Peak Flow ◽  
Atrial Appendage ◽  
Peak Flow Velocity
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