Literature DB >> 27889552

Relation of red blood cell distribution width with CHADS2 and CHA2DS2-VASc score in Chinese patients with non-valvular atrial fibrillation.

Tong Liu1, Qingmiao Shao2, Panagiotis Korantzopoulos3, Shuai Miao2, Zhiwei Zhang2, Gang Xu2, Ruyu Yuan2, Guangping Li2.   

Abstract

BACKGROUND: Higher red cell distribution width (RDW) predicts adverse events in patients with cardiovascular diseases. However, there are limited data regarding the relationship between RDW and thromboembolism risk in the patients with atrial fibrillation (AF). We aimed to investigate the association between RDW and CHADS2, CHA2DS2-VASc scores used for the evaluation of thromboembolic risk in patients with non-valvular atrial fibrillation (AF).
METHODS: Our study included 99 patients with AF (68 paroxysmal AF; 31 persistent AF). We calculated CHADS2 and CHA2DS2-VASc risk scores for each patient, and we carefully recorded clinical characteristics as well as laboratory and echocardiographic parameters. According to CHADS2 and CHA2DS2-VASc scores, we divided the AF patients into 2 groups (low-intermediate risk and high risk group). Subsequently, we compared the aforementioned parameters between the 2 groups, and we evaluated the relationship between RDW and CHADS2/CHA2DS2-VASc score. Finally, multivariate logistic regression analysis was performed to find independent predictors of high CHADS2, CHA2DS2-VASc scores.
RESULTS: Patients with high CHADS2, CHA2DS2-VASc scores had older age, higher RDW, and creatinine levels, increased left atrial diameter and lower left ventricular ejection fraction, compared to the low CHADS2, CHA2DS2-VASc score group. Multivariate logistic regression analysis showed that RDW was an independent predictor for high CHADS2, CHA2DS2-VASc scores(OR: 2.184 and OR: 5.748; all P<0.05).
CONCLUSION: RDW is significantly correlated with CHADS2 and CHA2DS2-VASc score in the patients with AF, while is an independent predictor for high CHADS2 and CHA2DS2-VASc score.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; CHA2DS2-VASc; CHADS2; Red blood cell distribution width

Mesh:

Year:  2016        PMID: 27889552     DOI: 10.1016/j.ijcard.2016.11.255

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  6 in total

1.  Biomarkers for Predicting Left Atrial or Left Atrial Appendage Thrombus in Anticoagulated Patients with Nonvalvular Atrial Fibrillation.

Authors:  Xue Zhou; Zuolan Wang; Shuang Dou; Kangyin Chen; Enzhao Liu; Tong Liu; Guangping Li; Jingjin Che
Journal:  Cardiol Res Pract       Date:  2020-06-20       Impact factor: 1.866

Review 2.  Left atrial spontaneous echo contrast: relationship with clinical and echocardiographic parameters.

Authors:  Takahide Ito; Michihiro Suwa
Journal:  Echo Res Pract       Date:  2019-06-01

3.  Red Cell Distribution Width as a Novel Marker for Different Types of Atrial Fibrillation in Low and High Altitude.

Authors:  Kaiyue Han; Xiaoling Su; Jiang Liu; Fengcai Yao; FeiYan Lu
Journal:  Cardiol Res Pract       Date:  2019-03-07       Impact factor: 1.866

Review 4.  Red blood cell distribution width: A marker of anisocytosis potentially associated with atrial fibrillation.

Authors:  Giuseppe Lippi; Gianfranco Cervellin; Fabian Sanchis-Gomar
Journal:  World J Cardiol       Date:  2019-12-26

Review 5.  A Review of Biomarkers for Ischemic Stroke Evaluation in Patients With Non-valvular Atrial Fibrillation.

Authors:  Luxiang Shang; Ling Zhang; Yankai Guo; Huaxin Sun; Xiaoxue Zhang; Yakun Bo; Xianhui Zhou; Baopeng Tang
Journal:  Front Cardiovasc Med       Date:  2021-07-01

6.  Predictive value of red cell distribution width on left atrial thrombus or left atrial spontaneous echo contrast in patients with non-valvular atrial fibrillation.

Authors:  Xian-Zhang Zhan; Wei-Dong Lin; Fang-Zhou Liu; Yu-Mei Xue; Hong-Tao Liao; Xin Li; Xian-Hong Fang; Hai Deng; Jun Huang; Yang-Qiu Li; Jo-Jo Hai; Hung-Fat Tse; Shu-Lin Wu
Journal:  J Geriatr Cardiol       Date:  2018-06       Impact factor: 3.327

  6 in total

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