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Zagidullin NS, Motloch LJ, Musin TI, Bagmanova ZA, Lakman IA, Tyurin AV, Gumerov RM, Enikeev D, Cai B, Gareeva DF, Davtyan PA, Gareev DA, Talipova HM, Badykov MR, Jirak P, Kopp K, Hoppe UC, Pistulli R, Pavlov VN. J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? PLoS One 2021; 16:e0257982. [PMID: 34648510 PMCID: PMC8516278 DOI: 10.1371/journal.pone.0257982] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/14/2021] [Indexed: 12/14/2022] Open
Abstract
Background J-waves represent a common finding in routine ECGs (5–6%) and are closely linked to ventricular tachycardias. While arrhythmias and non-specific ECG alterations are a frequent finding in COVID-19, an analysis of J-wave incidence in acute COVID-19 is lacking. Methods A total of 386 patients consecutively, hospitalized due to acute COVID-19 pneumonia were included in this retrospective analysis. Admission ECGs were analyzed, screened for J-waves and correlated to clinical characteristics and 28-day mortality. Results J-waves were present in 12.2% of patients. Factors associated with the presence of J-waves were old age, female sex, a history of stroke and/or heart failure, high CRP levels as well as a high BMI. Mortality rates were significantly higher in patients with J-waves in the admission ECG compared to the non-J-wave cohort (J-wave: 14.9% vs. non-J-wave 3.8%, p = 0.001). After adjusting for confounders using a multivariable cox regression model, the incidence of J-waves was an independent predictor of mortality at 28-days (OR 2.76 95% CI: 1.15–6.63; p = 0.023). J-waves disappeared or declined in 36.4% of COVID-19 survivors with available ECGs for 6–8 months follow-up. Conclusion J-waves are frequently and often transiently found in the admission ECG of patients hospitalized with acute COVID-19. Furthermore, they seem to be an independent predictor of 28-day mortality.
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Affiliation(s)
- Naufal Shamilevich Zagidullin
- Department of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation
- Department of Biomedical Engineering of Ufa State Aviation Technical University, Ufa, Russian Federation
- * E-mail:
| | - Lukas J. Motloch
- Clinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Timur Ilgamovich Musin
- Department of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation
| | | | - Irina Alexandrovna Lakman
- Department of Biomedical Engineering of Ufa State Aviation Technical University, Ufa, Russian Federation
- Department of Economics, Finance and Business, Bashkir State University, Ufa, Russian Federation
| | | | | | - Dinar Enikeev
- Department of Biomedical Engineering of Ufa State Aviation Technical University, Ufa, Russian Federation
| | - Benzhi Cai
- Department of Pharmacy at The Second Affiliated Hospital, and Department of Pharmacology (The Key Laboratory of Cardiovascular Medicine Research, Ministry of Education) at College of Pharmacy, Harbin Medical University, Harbin, China
| | | | | | - Damir Aidarovich Gareev
- Department of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation
| | | | | | - Peter Jirak
- Clinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Kristen Kopp
- Clinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Uta C. Hoppe
- Clinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Rudin Pistulli
- Department of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Münster, Münster, Germany
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Sherafati A, Eslami M, Mollazadeh R. J wave syndrome: Benign or malignant? ARYA ATHEROSCLEROSIS 2021; 17:1-9. [PMID: 35685231 PMCID: PMC9137236 DOI: 10.22122/arya.v17i0.2259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 01/12/2021] [Indexed: 11/09/2022]
Abstract
J wave syndrome is an electrical disease of the heart due to pathologic early repolarization. It encompasses a clinical spectrum from aborted sudden cardiac death due to ventricular arrhythmia (VA) usually in young affected patients to self-terminating ventricular ectopies, and finally, asymptomatic relatives of probands detected during electrocardiography acquisition (early repolarization pattern). This syndrome consists of 2 phenotypes, early repolarization and Brugada syndrome. Herein, we first describe 2 patients with early repolarization and Brugada syndrome, then, discuss their definition, epidemiology, genetics, cellular mechanism, diagnosis, risk stratification, and finally, therapeutic challenges and options one by one in detail.
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Affiliation(s)
- Alborz Sherafati
- Assistant Professor, Department of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Masoud Eslami
- Associate Professor, Department of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Mollazadeh
- Associate Professor, Department of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
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