A Novel Electrocardiographic Score Predicts the Severity of Coronary Artery Disease and Clinical Outcomes in Patients with Non-ST Segment Elevation Myocardial Infarction.

Coronary artery disease Electrocardiogram SYNTAX score

Journal

Acta Cardiologica Sinica
ISSN: 1011-6842
Titre abrégé: Acta Cardiol Sin
Pays: China (Republic : 1949- )
ID NLM: 101687085

Informations de publication

Date de publication:
May 2022
Historique:
received: 09 09 2021
accepted: 17 11 2021
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 9 6 2022
Statut: ppublish

Résumé

There are many electrocardiographic (ECG) changes in non-ST segment elevation myocardial infarction (NSTEMI). However, the diagnostic power is limited in determining the severity of coronary artery disease (CAD) and clinical outcomes. This study investigated the role of a risk-based ECG score in predicting the severity of CAD and clinical outcomes in NSTEMI patients. One hundred and fifty-two patients were enrolled in the study. Severe CAD was defined as; intermediate (> 22) or high SYNTAX score (> 32), three-vessel disease, and left main coronary artery lesions. A risk-based ECG score was calculated, and the patients were categorized. All patients were followed up, and mortality and repeat revascularizations were evaluated. The severe CAD group had a significantly higher risk-based ECG score than the non-severe CAD group (p = 0.013). The patients with a high risk-based ECG score had more severe CAD (p = 0.013), higher SYNTAX score (p < 0.001), more three-vessel disease (p = 0.003), coronary artery calcification (p = 0.02), and one-year mortality (p = 0.006) than those with medium or low ECG scores. Multivariate logistic regression analysis showed that a 1-point increase in the risk-based ECG score was associated with a 1.573-fold [95% confidence interval (CI): 1.111-2.227, p = 0.011] increase probability of severe CAD. Kaplan-Meier analysis demonstrated that the high-risk group had a significantly higher one-year mortality rate than the low-risk and moderate-risk groups (hazard ratio: 2.383, 95% CI: 1.395-4.072, p = 0.001). This study demonstrated that higher ECG scores were associated with a higher risk of severe CAD and worse clinical outcomes in NSTEMI patients.

Sections du résumé

Background UNASSIGNED
There are many electrocardiographic (ECG) changes in non-ST segment elevation myocardial infarction (NSTEMI). However, the diagnostic power is limited in determining the severity of coronary artery disease (CAD) and clinical outcomes.
Objective UNASSIGNED
This study investigated the role of a risk-based ECG score in predicting the severity of CAD and clinical outcomes in NSTEMI patients.
Methods UNASSIGNED
One hundred and fifty-two patients were enrolled in the study. Severe CAD was defined as; intermediate (> 22) or high SYNTAX score (> 32), three-vessel disease, and left main coronary artery lesions. A risk-based ECG score was calculated, and the patients were categorized. All patients were followed up, and mortality and repeat revascularizations were evaluated.
Results UNASSIGNED
The severe CAD group had a significantly higher risk-based ECG score than the non-severe CAD group (p = 0.013). The patients with a high risk-based ECG score had more severe CAD (p = 0.013), higher SYNTAX score (p < 0.001), more three-vessel disease (p = 0.003), coronary artery calcification (p = 0.02), and one-year mortality (p = 0.006) than those with medium or low ECG scores. Multivariate logistic regression analysis showed that a 1-point increase in the risk-based ECG score was associated with a 1.573-fold [95% confidence interval (CI): 1.111-2.227, p = 0.011] increase probability of severe CAD. Kaplan-Meier analysis demonstrated that the high-risk group had a significantly higher one-year mortality rate than the low-risk and moderate-risk groups (hazard ratio: 2.383, 95% CI: 1.395-4.072, p = 0.001).
Conclusions UNASSIGNED
This study demonstrated that higher ECG scores were associated with a higher risk of severe CAD and worse clinical outcomes in NSTEMI patients.

Identifiants

pubmed: 35673338
doi: 10.6515/ACS.202205_38(3).20211117B
pmc: PMC9121750
doi:

Types de publication

Journal Article

Langues

eng

Pagination

326-333

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Auteurs

Aziz Inan Celik (AI)

Department of Cardiology, Gebze Fatih State Hospital, Heart Center, Kocaeli.

Tahir Bezgin (T)

Department of Cardiology, Gebze Fatih State Hospital, Heart Center, Kocaeli.

Metin Cagdas (M)

Department of Cardiology, Gebze Fatih State Hospital, Heart Center, Kocaeli.

Tufan Cınar (T)

Department of Cardiology, Health Sciences University Sultan Abdulhamid Han Training and Research Hospital, Istanbul.

Ayca Gumusdag (A)

Department of Cardiology, Kafkas University School of Medicine, Kars, Turkey.

Classifications MeSH