Mustafa Yenerçağ1, Uğur Arslan1, Onur O Şeker1, Seçkin Dereli2, Ahmet Kaya2, Mustafa Doğduş3, Çağatay E Öztürk4, Çetin K Akpınar5, Ahmet Şen4. 1. Department of Cardiology, University of Health Sciences Samsun Training and Research Hospital, Samsun. 2. Department of Cardiology, University of Ordu Training and Research Hospital, Ordu. 3. Department of Cardiology, University of Usak Training and Research Hospital, Usak. 4. Department of Anaesthesiology and Reanimation. 5. Department of Neurology, University of Health Sciences Samsun Training and Research Hospital, Samsun, Turkey.
Abstract
INTRODUCTION: The severe acute respiratory syndrome-coronavirus-2 causing coronavirus disease 2019 (COVID-19) has reached pandemic levels since March 2020. COVID-19 has been associated with a number of cardiovascular complications, including arrhythmias. The aim of the current study was to evaluate P-wave dispersion (PWD) as a predictor of atrial fibrillation in patients with newly diagnosed COVID-19. In addition, the relationship between the PWD and inflammation parameters was investigated. METHODS: A total of 140 newly diagnosed COVID-19 patients and 140 age- and sex-matched healthy individuals were included in the study. The risk of atrial fibrillation was evaluated by calculating the electrocardiographic PWD. C-reactive protein (CRP), white blood cell, neutrophil and neutrophil-to-lymphocyte ratio (NLR) were measured in patients with newly diagnosed COVID-19. RESULTS: PWD, white blood cell, NLR and CRP levels were significantly higher in the COVID-19 group than the control group. There was a significant positive correlation between PWD and CRP level (rs = 0.510, P < 0.001) and NLR in COVID-19 group (rs = 0.302, P = 0.001). In their follow-up, 13 (9.3%) patients, 11 of whom were in the ICU, developed new atrial fibrillation. CONCLUSION: Our study showed for the first time in literature that the PWD, evaluated electrocardiographically in patients with newly diagnosed COVID-19, was prolonged compared with normal healthy individuals. A positive correlation was found between PWD, CRP level and NLR. We believe that pretreatment evaluation of PWD in patients with newly diagnosed COVID-19 would be beneficial for predicting atrial fibrillation risk.
INTRODUCTION: The severe acute respiratory syndrome-coronavirus-2 causing coronavirus disease 2019 (COVID-19) has reached pandemic levels since March 2020. COVID-19 has been associated with a number of cardiovascular complications, including arrhythmias. The aim of the current study was to evaluate P-wave dispersion (PWD) as a predictor of atrial fibrillation in patients with newly diagnosed COVID-19. In addition, the relationship between the PWD and inflammation parameters was investigated. METHODS: A total of 140 newly diagnosed COVID-19patients and 140 age- and sex-matched healthy individuals were included in the study. The risk of atrial fibrillation was evaluated by calculating the electrocardiographic PWD. C-reactive protein (CRP), white blood cell, neutrophil and neutrophil-to-lymphocyte ratio (NLR) were measured in patients with newly diagnosed COVID-19. RESULTS: PWD, white blood cell, NLR and CRP levels were significantly higher in the COVID-19 group than the control group. There was a significant positive correlation between PWD and CRP level (rs = 0.510, P < 0.001) and NLR in COVID-19 group (rs = 0.302, P = 0.001). In their follow-up, 13 (9.3%) patients, 11 of whom were in the ICU, developed new atrial fibrillation. CONCLUSION: Our study showed for the first time in literature that the PWD, evaluated electrocardiographically in patients with newly diagnosed COVID-19, was prolonged compared with normal healthy individuals. A positive correlation was found between PWD, CRP level and NLR. We believe that pretreatment evaluation of PWD in patients with newly diagnosed COVID-19 would be beneficial for predicting atrial fibrillation risk.
Authors: Gabriel Cismaru; Cecilia Lazea; Lucian Mureşan; Gabriel Gusetu; Radu Rosu; Dana Pop; Dumitru Zdrenghea; Anca Daniela Farcaş; Simona Sorana Căinap Journal: Dis Markers Date: 2021-03-06 Impact factor: 3.434
Authors: Fatih Akkaya; Feyza Nur Topçu Yenerçağ; Ahmet Kaya; Yusuf Ziya Şener; Ali Bağcı Journal: Int J Cardiovasc Imaging Date: 2021-07-12 Impact factor: 2.357