Evaluation of the Relationship between QT Interval in ECG and GRACE Score Amount of Hospitalized Patients with NSTEMI
Fatemeh Goodarzi1, Mohammad Mahdi Daei1, Samira Dodangeh2
1Clinical Research Development Unit, Booalisina Hospital, Qazvin University of Medical Sciences, Qazvin, Iran.
Background:
Non-ST-elevation myocardial infarction (NSTEMI) is a significant component of acute coronary syndrome (ACS) and typically exhibits a relative incidence that is more than double that of ST-segment elevation myocardial infarction (STEMI). Data obtained from the International Long QT Syndrome Registry indicate that the risk of developing malignant arrhythmias in individuals with long QT syndrome is exponentially associated with the duration of the QTc interval. Therefore, the aim of this study was to assess the potential inclusion of prolonged QTc as a prognostic risk factor in NSTEMI patients.
Methods:
A cross-sectional study was conducted on patients with NSTEMI diagnosis admitted to the Bu-Ali Hospital of Qazvin between April 2021 and September 2021 by census method. The QT interval was measured in the electrocardiogram at admission. The documented grace score was calculated and its relationship with the corrected QTc interval was estimated using the Hodges formula. Finally, the relationship between QTc and GRACE score was investigated as a prognostic factor in ACS patients. Relationships were assessed by using both the T-test and the chi-square test.
Results:
A total of 60 patients (31.7% females, 63.8% males) with a mean age of 63 ± 12.7 years were evaluated. Most of the patients (68.3%) were at low risk regarding the Grace score category. In evaluating the relationship between QTc in the electrocardiogram at admission with total GRACE score, the Pearson correlation results were significant and there was a positive relationship between these two factors (r = 0.497, P < 0.001).
Conclusion:
This study revealed a significant relationship between the QTc interval of patients and the GRACE Score. It was shown patients' QTc can be a predictive factor of patients' mortality.
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