Evidence map›Paper›PMID 34648510›Full record

ArticlePloS one2021

J-waves in acute COVID-19: A novel disease characteristic and predictor of mortality?

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 and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 4 countries.

Naufal Shamilevich ZagidullinDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.ORCID 0000-0003-2386-6707
Lukas J MotlochClinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
Timur Ilgamovich MusinDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.ORCID 0000-0002-9927-6626
Zilya Adibovna BagmanovaDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.ORCID 0000-0003-1149-6702
Irina Alexandrovna LakmanDepartment of Biomedical Engineering of Ufa State Aviation Technical University, Ufa, Russian Federation.
Anton Viktorovich TyurinDepartment of Internal Diseases II, Bashkir State Medical University, Ufa, Russian Federation.
Ruslan Mansurovich GumerovDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.
Dinar EnikeevDepartment of Biomedical Engineering of Ufa State Aviation Technical University, Ufa, Russian Federation.
Benzhi CaiDepartment 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.
Diana Firdavisovna GareevaDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.
Paruir Artakovich DavtyanDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.
Damir Aidarovich GareevDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.
Halima Malikovna TalipovaDepartment of Internal Medicine I, Bashkir State Medical University, Ufa, Russian Federation.
Marat Rifkatovich BadykovDepartment of Surgery, Bashkir State Medical University, Ufa, Russian Federation.
Peter JirakClinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
Kristen KoppClinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
Uta C HoppeClinic II for Internal Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
Rudin PistulliDepartment of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Münster, Münster, Germany.
Valentin Nikolaevich PavlovDepartment of Urology, Bashkir State Medical University, Ufa, Russian Federation.
Bashkir State Medical University · RUParacelsus Medical University · ATBashkir State University · RUHarbin Medical University · CNUfa State Aviation Technical University · RUUniversity Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJ-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.

methodsA 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.

resultsJ-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.

conclusionJ-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.

Indexed as

AgedArrhythmias, CardiacCOVID-19ElectrocardiographyFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTachycardia, Ventricular

Identifiers

PMID34648510
PMCPMC8516278
OpenAlexW3206964058

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.