Ann Clin Diabetes Endocrinol | Volume 5, Issue 1 | Research Article | Open Access
Asmare DS1*, Belay DG2,3, Chilot D4,5, Gela YY5, Diress M5, Seid AM6, Simegn W7, Kibret AA8, Eshetu HB9, Bitew DA10, Andualem AA11 and Seid MA12
1Department of Biomedical Science, School of Medicine, College of Medicine and Health Sciences, Debre Markos
University, Ethiopia
2Department of Human Anatomy, University of Gondar, Ethiopia
3Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia
4College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDTAfrica),
Addis Ababa University, Ethiopia
5Department of Human Physiology, University of Gondar, Ethiopia
6Department of Clinical Pharmacy, University of Gondar, Ethiopia
7Department of Social and Administrative Pharmacy, University of Gondar, Ethiopia
8Department of Human Anatomy, University of Gondar, Ethiopia
9Department of Health Education and Behavioral Sciences, University of Gondar, Ethiopia
10Department of Reproductive Health, University of Gondar, Ethiopia
11Department of Anesthesia, Wollo University, Ethiopia
12Department of Biomedical Science, Unit of Human Physiology, College of Health Sciences, Debre Tabor
University, Ethopia
Introduction: The T wave on an Electrocardiogram (ECG) represents typically ventricular repolarization. However, various waveform morphologies may indicate benign or clinically significant injury or insult to the myocardium. There is no study about the electrocardiographic T wave abnormalities among type 2 DM patients in Ethiopia. Therefore, this study determined the overall prevalence and the associated factors of T wave abnormalities among people living with T2DM in Amhara National Regional State referral hospitals, Ethiopia. Methods: A multicenter institution-based cross-sectional study was conducted from January 01st to March 30th, 2022. Simple random sampling and systematic sampling techniques were employed to select the referral hospitals and study participants, respectively. A digital electrocardiograph was used to measure the T wave patterns, and an interviewer-administered questionnaire to collect sociodemographic and some clinical factors. Epi-data version-4.6 and Stata-14 were used for data entry and statistical analysis, respectively. The descriptive statistics were presented with tables and graphs. A binary logistic regression model was fitted to identify associated factors of T wave abnormality. In the final model, statistical significance was decided at p<0.05, and the strength of association was indicated using an adjusted odds ratio with 95% CI. Results: Two hundred and fifty-eight participants (response rate = 99.6%) were included in the analysis. The prevalence of overall T wave abnormality was 21.7% (95% CI: 19, 29.2%). Higher monthly income (>90$) (AOR=0.16 [0.06, 0.46]), hypertension 5.55 (AOR=5.55 [2.12, 14.49]), fasting blood sugar of ≥ 130 mg/dl 6.38 (AOR=6.38 [1.94, 20.94]), were statistically significant factors of T wave abnormality. Conclusion: Higher income, hypertension, and higher fasting blood sugar were significantly associated with ECG abnormality. The findings of this study suggest the need to institute routine ECG screening for all T2DM patients to reduce silent myocardial ischemia and further complications.
T wave abnormalities; Types 2 diabetes mellitus; Ethiopia; ECG
Asmare DS, Belay DG, Chilot D, Gela YY, Diress M, Seid AM, et al. Electrocardiographic T Wave Abnormality and Associated Factors among Type 2 Diabetic Patients: Multicenter Institution-Based Cross- Sectional Study. Ann Clin Diabetes Endocrinol. 2023; 5(1): 1028.