Correlation of left ventricular ejection fraction drop and fragmented QRS with ST-segment elevation myocardial infarction.

Electrocardiography Fragmented QRS Left Ventricular Function ST Elevation Myocardial Infarction

Journal

ARYA atherosclerosis
ISSN: 1735-3955
Titre abrégé: ARYA Atheroscler
Pays: Iran
ID NLM: 101487337

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 01 07 2020
accepted: 23 01 2021
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 11 6 2022
Statut: ppublish

Résumé

Fragmented QRS (fQRS) is an electrocardiographic parameter, which could be assessed easily and non-invasively using surface electrocardiogram (ECG) and may have significant prognostic value. The present study aimed to evaluate the correlation between left ventricular ejection fraction (LVEF) and fQRS in surface ECG. This study was conducted on 186 patients with acute ST-elevation myocardial infarction (STEMI). After primary percutaneous coronary intervention (PCI) and transferring the patients to the cardiac care unit (CCU), the patients were examined using echocardiography, and ejection fraction (EF) was assessed using the Simpson's method by a single cardiologist. Data analysis was performed using SPSS software. Among 186 eligible patients, 113 cases showed fQRS in the surface ECG. In total, 84.9% of these patients were men, and 15.1% were women (P < 0.05). No significant correlation was observed between age and fQRS (P > 0.05), as well as coronary artery disease (CAD) severity and fQRS (P > 0.05). On the other hand, a statistically significant, reverse correlation was denoted between EF and fQRS in the surface ECG (P < 0.05). In addition, significant relations were observed between the rate of ST-segment elevation and depression and fQRS (P < 0.05). According to the obtained results, EF significantly decreased in the echocardiography of the patients with STEMI and fQRS in the surface ECG. Considering the cost-efficiency and accessibility of fQRS evaluation, it could be used for the assessment of various parameters in cardiology modalities such as cardiac magnetic resonance imaging (CMRI) and computed tomography (CT).

Sections du résumé

BACKGROUND BACKGROUND
Fragmented QRS (fQRS) is an electrocardiographic parameter, which could be assessed easily and non-invasively using surface electrocardiogram (ECG) and may have significant prognostic value. The present study aimed to evaluate the correlation between left ventricular ejection fraction (LVEF) and fQRS in surface ECG.
METHODS METHODS
This study was conducted on 186 patients with acute ST-elevation myocardial infarction (STEMI). After primary percutaneous coronary intervention (PCI) and transferring the patients to the cardiac care unit (CCU), the patients were examined using echocardiography, and ejection fraction (EF) was assessed using the Simpson's method by a single cardiologist. Data analysis was performed using SPSS software.
RESULTS RESULTS
Among 186 eligible patients, 113 cases showed fQRS in the surface ECG. In total, 84.9% of these patients were men, and 15.1% were women (P < 0.05). No significant correlation was observed between age and fQRS (P > 0.05), as well as coronary artery disease (CAD) severity and fQRS (P > 0.05). On the other hand, a statistically significant, reverse correlation was denoted between EF and fQRS in the surface ECG (P < 0.05). In addition, significant relations were observed between the rate of ST-segment elevation and depression and fQRS (P < 0.05).
CONCLUSION CONCLUSIONS
According to the obtained results, EF significantly decreased in the echocardiography of the patients with STEMI and fQRS in the surface ECG. Considering the cost-efficiency and accessibility of fQRS evaluation, it could be used for the assessment of various parameters in cardiology modalities such as cardiac magnetic resonance imaging (CMRI) and computed tomography (CT).

Identifiants

pubmed: 35686244
doi: 10.22122/arya.v17i0.2193
pii: ARYA-17-5-2193
pmc: PMC9137220
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-8

Informations de copyright

© 2021 Isfahan Cardiovascular Research Center & Isfahan University of Medical Sciences.

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Auteurs

Armin Bordbar (A)

Assistant Professor, Department of Cardiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

Khalil Mahmoodi (K)

Associate Professor, Department of Cardiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

Haleh Anasori (H)

Resident, Department of Cardiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

Ramazan Fallah (R)

Assistant Professor, Department of Biostatistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

Seyede Vanoushe Azimi-Pirsaraei (SV)

Student Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.

Classifications MeSH