Evidence map›Paper›PMID 36811259›Full record

SynthesisAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2023

COVID-19-associated Brugada pattern electrocardiogram: Systematic review of case reports.

Kevin Liu, Kai Chen, Ekin C Uzunoglu, Azeem Rathore, Tanya Deol, Ele Wu, Claude S Elayi, Prakash G Suryanarayana, Stephen G Keim, John N Catanzaro

Abstract readSystematic ReviewCase Reports
In one paragraph

Synthesis in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. COVID-19-associated Brugada pattern electrocardiogram: Systematic review of case reports.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023
    Pooled it
  2. Article
  3. Article
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

10 authors.

Kevin LiuDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
Kai ChenDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
Ekin C UzunogluDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.ORCID 0000-0001-6697-819X
Azeem RathoreDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
Tanya DeolDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
Ele WuDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
Claude S ElayiCHI Saint Joseph Hospital - Cardiology, Lexington, Kentucky, USA.
Prakash G SuryanarayanaDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
Stephen G KeimDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.
John N CatanzaroDepartment of Medicine, Division of Cardiology, Section of Electrophysiology, University of Florida Health Science Center, Florida, Jacksonville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo summarize published case reports of patients diagnosed with coronavirus disease 2019 (COVID-19) and Brugada pattern electrocardiogram (ECG).

methodsThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist were followed. A literature search was conducted using PubMed, EMBASE, and Scopus up until September 2021. The incidence, clinical characteristics, and management outcomes of COVID-19 patients with a Brugada pattern ECG were identified.

resultsA total of 18 cases were collected. The mean age was 47.1 years and 11.1% were women. No patients had prior confirmed diagnosis of Brugada syndrome. The most common presenting clinical symptoms were fever (83.3%), chest pain (38.8%), shortness of breath (38.8%), and syncope (16.6%). All 18 patients presented with type 1 Brugada pattern ECG. Four patients (22.2%) underwent left heart catheterization, and none demonstrated the presence of obstructive coronary disease. The most common reported therapies included antipyretics (55.5%), hydroxychloroquine (27.7%), and antibiotics (16.6%). One patient (5.5%) died during hospitalization. Three patients (16.6%) who presented with syncope received either an implantable cardioverter defibrillator or wearable cardioverter defibrillator at discharge. At follow-up, 13 patients (72.2%) had resolution of type 1 Brugada pattern ECG.

conclusionCOVID-19-associated Brugada pattern ECG seems relatively rare. Most patients had resolution of the ECG pattern once their symptoms have improved. Increased awareness and timely use of antipyretics is warranted in this population.

Indexed as

AntipyreticsBrugada SyndromeCOVID-19Defibrillators, ImplantableElectrocardiographyFemaleHumansMaleMiddle AgedSyncopeAntipyreticsBrugadaCOVIDelectrocardiogram

Identifiers

PMID36811259
PMCPMC10196099

What OpenQuestion holds

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Registered trials

None linked

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.