QTc dispersion as a predictor of coronary artery disease severity in Bangladeshi patients with chronic coronary syndromes
1 Department of Cardiology, Sir Salimullah Medical College & Hospital, Dhaka, Bangladesh.
2 Department of Cardiology, Dhaka medical College hospital. Bangladesh.
3 Department of Cardiology, Dhaka medical College hospital. Bangladesh.
4 Department of Gastroenterology, BIHS, General Hospital, Dhaka, Bangladesh.
5 Department of Cardiology, Dhaka medical College hospital. Bangladesh.
6 Department of Cardiology, National Heart Foundation Hospital & Research Institute, Bangladesh.
7 Department of Medicine, UHC, Daulatpur, Kushtia, Bangladesh.
8 Department of Pathology, Dr. Sirajul Islam Medical College, Dhaka,1217, Bangladesh.
9 Department of Cardiology, National Institute of Cardiovascular Diseases, Dhaka, Bangladesh
Research Article
World Journal of Biology Pharmacy and Health Sciences, 2024, 19(02), 441–448.
Article DOI: 10.30574/wjbphs.2024.19.2.0537
Publication history:
Received on 11 July 2024; revised on 21 August 2024; accepted on 24 August 2024
Abstract:
Background: Coronary artery disease (CAD) is a leading global and national health burden. Accurate assessment of CAD severity is crucial for effective management. QTc dispersion, a simple electrocardiographic parameter, has been explored as a potential predictor of CAD. This study aimed to evaluate the association between QTc dispersion and coronary angiographic severity in Bangladeshi patients with chronic coronary syndromes (CCS).
Methods: A cross-sectional study was conducted on 92 CCS patients undergoing coronary angiography at Sir Salimullah Medical College Mitford Hospital, Dhaka, from November 2020 to October 2021. Patients were divided into two groups based on QTc dispersion (≥50 ms or <50 ms). Coronary angiographic severity was assessed using the Gensini score.
Results: Patients with increased QTc dispersion (Group B) had a significantly higher mean age, were predominantly male, and exhibited significantly higher Gensini scores compared to those with normal QTc dispersion (Group A). A strong positive correlation was observed between QTc dispersion and Gensini score (r=0.742, p<0.001).
Conclusion: Our findings suggest that QTc dispersion is a significant predictor of CAD severity in Bangladeshi patients with CCS. Incorporating QTc dispersion into routine clinical practice may aid in risk stratification and the development of personalized treatment strategies for these patients.
Keywords:
Chronic coronary syndromes; QTc dispersion; Electrocardiogram; Coronary angiography; Gensini score; Bangladesh
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