Evidence map›Paper›PMID 41465954›Full record

ArticleMedicine2025

COVID-19-induced Brugada phenocopy pattern in a patient with previous myocardial infarction: A case report.

Lijiang Ding, Huayong Jin

Abstract readCase Reports
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Lijiang DingDepartment of Electrocardiology, Shaoxing People's Hospital, School of Medicine, Shaoxing University, Shaoxing, Zhejiang Province, China.ORCID 0009-0006-1889-1384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleCoronavirus disease 2019 (COVID-19) can cause electrocardiographic changes, such as ST-segment elevation, by increasing the dispersion of cardiac repolarization or cause delayed depolarization in a localized area of the right ventricular outflow, leading to clinical misdiagnosis. PATIENT CONCERNS: A 57-year-old man with a history of hypertension and previous myocardial infarction presented to the emergency department with a 12-hour history of fever, chest tightness, and palpitations. DIAGNOSES: An emergency electrocardiogram (ECG) showed sinus rhythm with abnormal Q waves and ST-segment elevation (0.1-0.35 mV) in leads V1-V3. A positive COVID-19 polymerase chain reaction test and specific ECG metrics, including β-angle measurement and r'-wave triangle base duration, led to the diagnosis of a Brugada phenocopy pattern triggered by COVID-19.

interventionsThe patient was treated with an antiplatelet agent (clopidogrel), an antipyretic (acetaminophen) for fever, and oral antivirals (nimatrelvir/ritonavir). OUTCOMES: After 2 days, his temperature normalized, and a repeat ECG showed resolution of ST-segment elevation. LESSONS: This case highlights the importance of considering fever-induced Brugada phenocopy in the differential diagnosis of ST-segment elevation in patients with coronary artery disease. Careful ECG analysis, including assessment of the β-angle and r'-wave morphology, is crucial to avoid misdiagnosis of ST-elevation myocardial infarction. Initial management should focus on controlling triggering factors such as fever with antipyretics and antivirals to prevent malignant arrhythmias.

Indexed as

Brugada SyndromeCOVID-19Myocardial InfarctionAntiviral AgentsElectrocardiographyHumansMaleMiddle AgedSARS-CoV-2Antiviral AgentsBrugada patternCOVID-19electrocardiogramold myocardial infarction

Identifiers

PMID41465954
PMCPMC12746936

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.