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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Zagidullin NS, Dunayeva AR, Plechev VV, Gilmanov AZ, Zagidullin SZ, Er F, Pavlov VN. Nephroprotective effects of remote ischemic preconditioning in coronary angiography. Clin Hemorheol Microcirc 2017; 65:299-307. [PMID: 27814282 DOI: 10.3233/ch-16184] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Contrast-induced nephropathy (CIN) is a formidable side effect of iodinated contrast medium use in subjects undergoing coronary angiogram (CAG). Remote ischemic preconditioning (RIPC) may reduce the risk of CIN. AIM The aim of the study was to investigate the nephroprotective effects of RIPC in coronary heart disease (CHD) in patients, undergoing CAG, with mild to moderate lowered estimated glomerular filtration rate (eGFR). MATERIALS In the randomized, blinded, sham RIPC (sRIPC) controlled study 51 patients with CHD and GFR less than 80 mL/min/m2, undergoing CAG, were investigated. The patients were randomized for RIPC (n = 26, 60.5±2.0 years) or sRIPC (n = 25, 62.96±1.7). RIPC was performed before the CAG by means of 3-5-minute cycle cuff pumped on the upper arm + 50 mm Hg above the systolic blood pressure (BP), while in sRIPC it corresponded to diastolic BP. The primary endpoint was the development of CIN and secondary - change of biomarkers (creatinine, urea, neutrophil gelatinase-associated lipocalin (NGAL), cystatin-C). RESULTS In RIPC group, CIN occurred in 28% of cases, while in sRIPC - 3.8%. All investigated markers increased in sRIPC and declined in RIPC; the difference was significant in markers between the groups before and after CAG. CONCLUSIONS RIPC proved nephroprotective effect in prevention of contrast-induced nephropathy in CHD subjects with mild to moderate lowered eGFR.
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Affiliation(s)
| | | | | | | | | | - Fikret Er
- Department of Internal Diseases, Klinikum Gütersloh, Department of Cardiology and Electrophysiology, Gutersloch, Germany
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