J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality?
<h4>Background</h4>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.<h4>M...
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2021
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oai:doaj.org-article:9dc21219f0b3426e93d2576dae5b726a2021-12-02T20:07:53ZJ-waves in acute COVID-19: A novel disease characteristic and predictor of mortality?1932-620310.1371/journal.pone.0257982https://doaj.org/article/9dc21219f0b3426e93d2576dae5b726a2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257982https://doaj.org/toc/1932-6203<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.Naufal Shamilevich ZagidullinLukas J MotlochTimur Ilgamovich MusinZilya Adibovna BagmanovaIrina Alexandrovna LakmanAnton Viktorovich TyurinRuslan Mansurovich GumerovDinar EnikeevBenzhi CaiDiana Firdavisovna GareevaParuir Artakovich DavtyanDamir Aidarovich GareevHalima Malikovna TalipovaMarat Rifkatovich BadykovPeter JirakKristen KoppUta C HoppeRudin PistulliValentin Nikolaevich PavlovPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0257982 (2021) |
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Medicine R Science Q Naufal Shamilevich Zagidullin Lukas J Motloch Timur Ilgamovich Musin Zilya Adibovna Bagmanova Irina Alexandrovna Lakman Anton Viktorovich Tyurin Ruslan Mansurovich Gumerov Dinar Enikeev Benzhi Cai Diana Firdavisovna Gareeva Paruir Artakovich Davtyan Damir Aidarovich Gareev Halima Malikovna Talipova Marat Rifkatovich Badykov Peter Jirak Kristen Kopp Uta C Hoppe Rudin Pistulli Valentin Nikolaevich Pavlov J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? |
| description |
<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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. |
| format |
article |
| author |
Naufal Shamilevich Zagidullin Lukas J Motloch Timur Ilgamovich Musin Zilya Adibovna Bagmanova Irina Alexandrovna Lakman Anton Viktorovich Tyurin Ruslan Mansurovich Gumerov Dinar Enikeev Benzhi Cai Diana Firdavisovna Gareeva Paruir Artakovich Davtyan Damir Aidarovich Gareev Halima Malikovna Talipova Marat Rifkatovich Badykov Peter Jirak Kristen Kopp Uta C Hoppe Rudin Pistulli Valentin Nikolaevich Pavlov |
| author_facet |
Naufal Shamilevich Zagidullin Lukas J Motloch Timur Ilgamovich Musin Zilya Adibovna Bagmanova Irina Alexandrovna Lakman Anton Viktorovich Tyurin Ruslan Mansurovich Gumerov Dinar Enikeev Benzhi Cai Diana Firdavisovna Gareeva Paruir Artakovich Davtyan Damir Aidarovich Gareev Halima Malikovna Talipova Marat Rifkatovich Badykov Peter Jirak Kristen Kopp Uta C Hoppe Rudin Pistulli Valentin Nikolaevich Pavlov |
| author_sort |
Naufal Shamilevich Zagidullin |
| title |
J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? |
| title_short |
J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? |
| title_full |
J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? |
| title_fullStr |
J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? |
| title_full_unstemmed |
J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality? |
| title_sort |
j-waves in acute covid-19: a novel disease characteristic and predictor of mortality? |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2021 |
| url |
https://doaj.org/article/9dc21219f0b3426e93d2576dae5b726a |
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