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QT Dispersion Increases with Low Glomerular Filtration Rate in Patients with Coronary Artery Disease

Overview
Journal Pak J Med Sci
Specialty General Medicine
Date 2014 Apr 29
PMID 24772124
Citations 2
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Abstract

Objective: We aimed to evaluate the relationship between estimated glomerular filtration rate (eGFR) and QT dispersion (QTd) in patients with coronary artery disease (CAD).

Methods: Sixty patients(mean age 62.72 ± 12.48 years) included 46 male, (mean age 60.89 ± 12.70 years)and 14 female (mean age 68.71± 9.86 years) were enrolled in this study. Patients were divided into 2 groups according to their eGFR using the 6 variable MDRD equation. Group 1 consisted of patients with estimated eGFR<60 ml/min/1.73m(2) and Group 2 consisted of patients witheGFR ≥ 60 ml/min/1.73m(2).

Results: Baseline patient characteristics were homogeneous in both groups except for age, gender and smoking.Also, the extent of CAD was similar in both groups (p > 0.05) QTd values were found higher in group 1 than those of group 2 (57.23 ± 40.65 ms vs. 31.23 ± 14.47 ms, p = 0.002). After adjustment for age, gender and smoking using one-way ANCOVA test, statistically significant difference in QTd still existedbetween the groups (p=0.038).

Conclusion: QTd tends to be higher in patients with poor renal function independent of severity of angiographical CAD. QTd may be a potentially useful non-invasive test in the management of patients with poor renal function, especially those with CAD.

Citing Articles

Evaluation of left ventricular diastolic function of patients with coronary heart disease by ultrasound images on bilateral filtering image noise reduction algorithm combined with electrocardiogram.

Li W Pak J Med Sci. 2021; 37(6):1699-1704.

PMID: 34712309 PMC: 8520376. DOI: 10.12669/pjms.37.6-WIT.4886.


Correlation of corrected QT dispersion with the severity of coronary artery disease detected by SYNTAX score in non-diabetic patients with STEMI.

Helmy H, Abdel-Galeel A, Kishk Y, Mohammed Sleem K Egypt Heart J. 2018; 69(2):111-117.

PMID: 29622964 PMC: 5839347. DOI: 10.1016/j.ehj.2016.12.001.

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