Literature DB >> 27468617

[Effect of asymmetrical dimethylarginine for predicting pro-thrombotic risk in atrial fibrillation].

M C Lao1, L J Liu, C F Luo, G H Lu, Y S Zhai, X L Chen, X R Gao.   

Abstract

OBJECTIVE: Atrial fibrillation (AF) is responsible for some thromboembolic events. Asymmetrical dimethylarginine(ADMA) increases in atrial fibrillation(AF) animals with dysfunction of endothelium, but its role in pro-thrombotic state of AF was unknown. The aim of our study was to explore the role of ADMA in predicting the pro-thrombotic state in AF and to reveal its mechanism.
METHODS: One hundred and thirty-eight patients in the First Affiliated Hospital, Sun Yat-sen University, from 2010 to 2012, were enrolled (persistent atrial fibrillation group, PAF, n=80; paroxysmal atrial fibrillation group, Paf, n=30; sinus rhythm, SR, n=28). Plasma ADMA levels were detected by ELISA-kits. CHADS2 and CHA2DS2-VASc scores were estimated for each patient.14 Beagles (pacing group, n=8; sham group, n=6) were subjected to rapid atrial pacing (RAP). ADMA level was detected after 4 weeks of RAP.
RESULTS: ADMA level was elevated significantly in patients with atrial fibrillation especially in patients with persistent atrial fibrillation, and showed a significant linear correlation to CHADS2 and CHA2DS2-VASc score. With ADMA, ROC area under the curve was 0.865 in CHADS2 score ≥2 and was 0.959 in CHA2DS2-VASc score ≥2 (P<0.001 respectively). After 4 weeks of RAP, ADMA level was elevated compared to sham group and before operation. ADMA showed a linear correlation with atrial fibrillation susceptibility(r=0.686, P=0.007).
CONCLUSIONS: ADMA levels are elevated both in AF patients and RAP beagles. ADMA correlates with stroke risk concerning with CHADS2/CHA2DS2-VASc score. ADMA may become a new biomarker for predicting pro-thrombotic risk in AF.

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Year:  2016        PMID: 27468617     DOI: 10.3760/cma.j.issn.0376-2491.2016.26.005

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  1 in total

1.  Inflammation as a risk factor for stroke in atrial fibrillation: data from a microarray data analysis.

Authors:  Yingyuan Li; Wulin Tan; Fang Ye; Shihong Wen; Rong Hu; Xiaoying Cai; Kebing Wang; Zhongxing Wang
Journal:  J Int Med Res       Date:  2020-05       Impact factor: 1.671

  1 in total

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