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ORIGINAL ARTICLE
Year : 2015  |  Volume : 12  |  Issue : 2  |  Page : 101-105

Prevalence and determinants of electrocardiographic abnormalities among staff of a tertiary institution in Southwest, Nigeria


1 Department of Internal Medicine, Cardiology Unit, LAUTECH Teaching Hospital; Department of Medicine, College of Health Sciences, Ladoke Akintola University of Technology, Ogbomosho, Oyo State, Nigeria
2 Department of Internal Medicine, Cardiology Unit, LAUTECH Teaching Hospital, Ogbomosho, Oyo State, Nigeria

Correspondence Address:
Adeseye A Akintunde
P.O. Box 3238, Osogbo
Nigeria
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0189-7969.152004

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Background: Electrocardiogram (ECG) is a simple bedside investigation that can identify cardiovascular abnormalities among apparently normal individuals. Objectives: To assess the prevalence and determinants of ECG abnormalities among staff of a tertiary institution (Ladoke Akintola University of Technology [LAUTECH]) in Southwest, Nigeria. Materials and Methods: A total of 202 participants (47% men, 53% female) randomly selected staff of LAUTECH university was subjected to comprehensive medical examination, including body mass index, fasting lipid profile, ECG among others. ECG abnormalities were identified and related to potential determinants. Results: The main ECG aberrations (prevalence %) are: left ventricular hypertrophy (LVH) (39.6%), QTc prolongation (20.3%), sinus tachycardia (7.9%), right ventricular hypertrophy (4.7%), conduction defects (6.4%), ectopic beats (3.9%). T-wave abnormalities (2.1%), arrhythmia (1.0%), ischemic heart disease (1.5%), Wolf-Parkinson-White pattern (1.0%) and 82.3% had normal axis while the remaining had some form of abnormal axis. Blood pressure variables were consistently associated with all ECG abnormalities. Conclusion: ECG aberrations in this apparently normal population were dominated by conduction defects and LVH. This study emphasizes the necessity of regular cardiovascular assessment in apparently normal population in order to identify cardiovascular disease in its early stage and implement appropriate therapeutic and preventive strategies.


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