Literature DB >> 22994845

Atrial fibrillation is associated with increased mean platelet volume in patients with type 2 diabetes mellitus.

Okan Turgut1, Ali Zorlu, Fatih Kilicli, Ziynet Cinar, Hasan Yucel, Izzet Tandogan, Hatice Sebila Dokmetas.   

Abstract

Platelet abnormalities in diabetes mellitus (DM) and atrial fibrillation (AF) may underline the etiology of a prothrombotic state in these conditions. Increased mean platelet volume (MPV) is a marker of abnormal platelet function and activation. We aimed to investigate the possible association of chronic AF with MPV in patients who have type 2 DM. Patients who had type 2 DM with either chronic (≥6 months) AF or normal sinus rhythm (NSR) were included in the study. A total of 162 patients (aged 38-89 years) were divided into 2 groups according to the presence of either AF or NSR. Group 1 consisted of 81 diabetic patients with AF, and group 2 consisted of 81 diabetic patients with NSR. The two groups were not significantly different in terms of age, and gender, as well as in hypertension, smoking, history of coronary artery disease, previous cerebrovascular accidents, microalbuminuria, retinopathy, duration of DM, body mass index, hemoglobin A1c, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglyceride (p > 0.05 for all variables). Although no significant difference was present between groups concerning platelet count; for patients with AF, MPV was higher compared with patients with NSR (9.0 ± 0.2 fl vs. 8.4 ± 0.2 fl; p = 0.001). Furthermore, no significant difference was noted between groups regarding routine medications received by patients. In multivariate logistic regression analysis, MPV was the only variable independently related to AF (OR = 2.659; 95% CI, 1.286-5.498; p = 0.008). Consequently, it is concluded that AF is associated with increased MPV in patients with type 2 DM, suggesting the presence of tentatively related processes leading to reciprocal interaction.

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Year:  2012        PMID: 22994845     DOI: 10.3109/09537104.2012.725876

Source DB:  PubMed          Journal:  Platelets        ISSN: 0953-7104            Impact factor:   3.862


  11 in total

1.  Elevated glycated hemoglobin levels may increase the risk of atrial fibrillation in patients with diabetes mellitus.

Authors:  Yu-Fan Yang; Wen-Qing Zhu; Kuan Cheng; Qing-Xing Chen; Ye Xu; Yang Pang; Gui-Jian Liu; Jun-Bo Ge
Journal:  Int J Clin Exp Med       Date:  2015-03-15

2.  Mean Platelet Volume as a Predictor of Heart Failure-Related Hospitalizations in Stable Heart Failure Outpatients with Sinus Rhythm.

Authors:  Hakki Kaya; Mustafa Kutay Yıldırımlı; Recep Kurt; Osman Beton; Mehmet Birhan Yilmaz
Journal:  Acta Cardiol Sin       Date:  2017-05       Impact factor: 2.672

3.  Mean Platelet Volume: A Possible Predictor for Patients with Decompensated Chronic Heart Failure.

Authors:  Cătălina Liliana Andrei; Andreea Catană; Crina Julieta Sinescu; Andreea Mirică; Octavian Ceban; Valentin Puiu Chioncel; Roxana Oana Darabont
Journal:  Int J Gen Med       Date:  2022-04-16

4.  Platelet volume indices are associated with systolic and diastolic cardiac dysfunction, and left ventricular hypertrophy.

Authors:  Shu-ichi Fujita; Yoshihiro Takeda; Shun Kizawa; Takahide Ito; Kazushi Sakane; Toshiyuki Ikemoto; Yoshikatsu Okada; Koichi Sohmiya; Masaaki Hoshiga; Nobukazu Ishizaka
Journal:  BMC Cardiovasc Disord       Date:  2015-06-16       Impact factor: 2.298

5.  Association of hemostatic markers with atrial fibrillation: a meta-analysis and meta-regression.

Authors:  Na Wu; Shifei Tong; Ying Xiang; Long Wu; Bin Xu; Yao Zhang; Xiangyu Ma; Yafei Li; Zhiyuan Song; Li Zhong
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

Review 6.  Prediction of New-Onset and Recurrent Atrial Fibrillation by Complete Blood Count Tests: A Comprehensive Systematic Review with Meta-Analysis.

Authors:  Alexander Weymann; Sadeq Ali-Hasan-Al-Saegh; Anton Sabashnikov; Aron-Frederik Popov; Seyed Jalil Mirhosseini; Tong Liu; Mohammadreza Lotfaliani; Michel Pompeu Barros de Oliveira Sá; William L L Baker; Senol Yavuz; Mohamed Zeriouh; Jae-Sik Jang; Hamidreza Dehghan; Lei Meng; Luca Testa; Fabrizio D'Ascenzo; Umberto Benedetto; Gary Tse; Luis Nombela-Franco; Pascal M Dohmen; Abhishek J Deshmukh; Cecilia Linde; Giuseppe Biondi-Zoccai; Gregg W Stone; Hugh Calkins; Integrated Meta-Analysis Of Cardiac Surgery And Cardiology-Group Imcsc-Group
Journal:  Med Sci Monit Basic Res       Date:  2017-05-12

Review 7.  Platelets Cellular and Functional Characteristics in Patients with Atrial Fibrillation: A Comprehensive Meta-Analysis and Systematic Review.

Authors:  Alexander Weymann; Sadeq Ali-Hasan-Al-Saegh; Anton Sabashnikov; Aron-Frederik Popov; Seyed Jalil Mirhosseini; Luis Nombela-Franco; Luca Testa; Mohammadreza Lotfaliani; Mohamed Zeriouh; Tong Liu; Hamidreza Dehghan; Senol Yavuz; Michel Pompeu Barros de Oliveira Sá; William L Baker; Jae-Sik Jang; Mengqi Gong; Umberto Benedetto; Pascal M Dohmen; Fabrizio D'Ascenzo; Abhishek J Deshmukh; Giuseppe Biondi-Zoccai; Hugh Calkins; Gregg W Stone; Integrated Meta-Analysis Of Cardiac Surgery And Cardiology-Group Imcsc-Group
Journal:  Med Sci Monit Basic Res       Date:  2017-03-17

Review 8.  Serum glycated hemoglobin level as a predictor of atrial fibrillation: A systematic review with meta-analysis and meta-regression.

Authors:  Wenwei Qi; Nixiao Zhang; Panagiotis Korantzopoulos; Konstantinos P Letsas; Min Cheng; Fusheng Di; Gary Tse; Tong Liu; Guangping Li
Journal:  PLoS One       Date:  2017-03-07       Impact factor: 3.240

9.  Mean platelet volume: a new predictor of ischaemic stroke risk in patients with nonvalvular atrial fibrillation.

Authors:  Meifang Zheng; Shean Chen; Ye Zhu; Xiang Gu
Journal:  BMC Cardiovasc Disord       Date:  2020-05-20       Impact factor: 2.298

10.  Dose-response analysis between hemoglobin A1c and risk of atrial fibrillation in patients with and without known diabetes.

Authors:  Huilei Zhao; Menglu Liu; Zhifeng Chen; Kaibo Mei; Peng Yu; Lixia Xie
Journal:  PLoS One       Date:  2020-02-18       Impact factor: 3.240

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