Evidence map›Paper›PMID 40236975›Full record

ArticleARYA atherosclerosis2022

The relation between changes in electrocardiography and disease severity in SARS-CoV2 infected patients.

Hedieh Alimi, Maryam Emadzadeh, Seyyed Mahdiyar Noughab

Abstract read
In one paragraph

Article in ARYA atherosclerosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hedieh AlimiAssociate Professor of Cardiology, Fellowship of Echocardiography, Vascular and endovascular surgery research center, Faculty of medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Maryam EmadzadehAssociate Professor, Clinical Research Development Unit, Ghaem hospital, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyyed Mahdiyar NoughabResident of cardiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) may lead to myocardial damage and arrhythmia. Patients with ECG changes have shown an increased risk of mortality.

objectiveWe aimed to study the changes in the electrocardiogram, which may be of great significance for risk stratification of COVID-19-positive patients.

methodA retrospective study was conducted to compare electrocardiogram changes and disease severity markers in COVID-19-positive patients admitted to a referral hospital between February 20 and March 20, 2020.

resultsOur study consisted of 201 cases, including 123 males and 78 females. Ages ranged between 16 and 97 years old. Fifty-two (25.9%) cases had a history of ICU admission. Multivariate logistic regression analysis showed that a low O2 saturation level (OR = 0.920, 95% CI 0.868-0.976, p=0.005), several lab tests, ECG changes (OR = 46.84, 95% CI 3.876- 566.287, P = .002) and Age (OR = 1.03, 95% CI 1.000-1.065, P = .048) were the independent risk factors for predicting mortality rate.In addition, we utilized multivariate logistic regression analysis, demonstrating that LBBB (OR = 4.601, 95% CI: 1.357-15.600, P=0.014) is the only ECG risk factor associated with morbidity in elderly patients with ECG changes.

conclusionsECG changes are strong indicators of high mortality rates in elderly COVID-19 patients. ECG interpretations should therefore be used for risk stratification and predicting the need for ICU admission.

Indexed as

complete heart blockCovid-19pneumonia

Identifiers

PMID40236975
PMCPMC11994868

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