Authored by Nelson I Oguanobi*
Abstract
Background: Electrocardiographic abnormalities have been observed in the elderly even in the absence of history of heart disease. However, detailed descriptive data on electrocardiographic changes in healthy elderly individuals are scarce.
Objective: The objective of this study was to evaluate the electrocardiographic parameters and morphology in healthy elderly subjects and to compare these findings with those of healthy young volunteers.
Methods: A total of 66 elderly participants, aged 60 years and above, were recruited from the attendees to the quarterly medical lectures of the Ebreime Foundation for the Elderly, a non Governmental organization. The study was conducted in the medical outpatient clinics of Federal Medical Center, Asaba, Delta State, Nigeria. An electrocardiographic data on a cohort of 62 healthy young volunteers served as controls for the study. All subjects had 12 –lead electrocardiography and background medical assessment with the aid of a questionnaire and then clinically examined to evaluate their cardiovascular status at rest.
Result: The mean age of the elderly subjects was 68.68±7.92 (Age range 60 - 91 years). Parameters were compared with those from a cohort of 62 young healthy volunteers aged between 18 and 32 years; mean age 28.37±5.91 years.
Electrocardiographic values of P-wave duration, PR interval, and QTc interval were significantly increased in the elderly. Electrocardiographic abnormalities were observed in 83.33% of the elderly subjects and in 3.23% of the young subjects. Electrocardiographic abnormality noted include; left ventricular hypertrophy, left atrial enlargement, left axis deviation, non specific ST segment elevation, T-wave inversion and sinus bradycardia.
Conclusion: Our study recorded high prevalence of electrocardiographic abnormalities in asymptomatic apparently healthy elderly subjects. The implication of our findings is that cardiac diseases may present with more subtle symptoms in the elderly. Hence the need for routing evaluation with electrocardiography and other measures for early detection and intervention.
Keywords: Age-related; Electrocardiography; Healthy; Elderly
Introduction
Electrocardiography is a useful non-invasive tool for evaluation of cardiac morphology and function. It has gained universal application in a wide variety of cardiac diseases as well as in the medical fitness test in apparently healthy individuals [1], Morphological abnormalities in the 12-lead electrocardiogram (ECG) have been described in healthy individuals; although most of the studies available were focused on electrocardiographic changes in sports personnel and pre-employment medical evaluation [2,3,4,5,6]. However, electrocardiographic abnormalities have been observed in the elderly even in the absence of history of heart disease [7]. This has been attributed to age associated changes in the impulse formation and conduction system, including loss of pacemaker and conducting cell and fibrosis as well as increased incidence of mitral annular and aortic calcification, hypertension and coronary artery disease [1,7]. The Framingham Heart Study showed that the 2-year incidence of arrhythmia increases sharply with age: 0.5% among 50-60 years, 4.8% among 60-69 years and 12.7% among 70-79 years [8]. Detailed descriptive data on electrocardiographic changes in healthy elderly individuals are scarce. The objective of this study was to evaluate the electrocardiographic parameters and morphology in healthy elderly subjects and to compare these findings with those of healthy young volunteers. We also sought to examine the effect of various clinical variables on electrocardiographic parameters.
Methods
A total 219 elderly participants were screened during the study period from the attendees to the quarterly medical lectures of the Ebreime Foundation for the Elderly, a non Governmental organization. Out of these, 66 elderly individuals, aged 60 years and above, were recruited The exclusion criteria for the study were presence of acute illness or history/documentation of chronic illnesses and medications capable of affecting electrocardiogram such as hypertension, diabetes, significant alcohol intake, use of tobacco, drug abuse. The study was conducted in the medical outpatient clinics of Federal Medical Center, Asaba, Delta State, Nigeria. An electrocardiographic data on a cohort of 62 healthy young volunteers made of students, hospital workers as well as members of the local community served as controls for the study. The study was approved by the ethical committees of Federal Medical Center, Asaba, Nigeria Informed consent was obtained from all the participants. All subjects had background medical history assessment with the aid of a questionnaire and then clinically examined to evaluate their cardiovascular status at rest. The weight and height of each subject were recorded, and the surface area determined from a standard formula [9]. Laboratory tests such as serum electrolyte, urea, creatinine, fasting lipid profile (total cholesterol, HDL-cholesterol, LDL, VLDL, triglycerides) and fasting blood glucose were obtained. Resting 12-lead electrocardiography were performed on all subjects using Schiller electrocardiography machine at a paper speed of 25mm/s and standardized at 0.1mv/mm. A single observer analyzed the electrocardiogram. Measurements of the heart rate, cardiac axis, PR- interval, QRS duration and QTc interval were done in the standard fashion [10]. Heart rate correction of the QT–interval was performed using Bazett’s formula (QTc = QT/√RR) [11]. Standard criteria were followed in the interpretation of morphological electrocardiographic abnormalities [6,10]. We considered the ECG as normal in the presence of regular sinus rhythm within a rate range from 60 to 90 beats/min , normal P-wave, PR interval < 200 ms, normal QRS complex of <110 ms duration, normal ST-segment, upright T-waves of > 0.1 mV amplitude in all leads except III, aVR, and V1, and QTc < 440 ms [10,12].
Data Analysis
Data were presented as means ± standard deviation for continuous variables and as proportions for categorical variables. Comparison of continuous variables between the elderly and the young were made with independent Student’s t-test. For discrete variables distribution between groups were compared with Chi- square test and Fishers exact test as appropriate (where an expected cell is less than 5). All statistical analyses were carried out using the Statistical Packages for Social Sciences (SPSS Inc. Chicago Illinois) software version 25.0 and EPi-Info version 3.4. Statistical tests with probability values less than 0.05 were considered statistically significant. Intra observer variability of manual ECG measurements was quantified by blinded and randomly sorted repeat measurements of 30 tracings a month after the original measurements were made. There was no statistically significant intra observer variability.
Result
Out of the 219 elderly individuals screened during the study period only 66 participants fulfilled the criteria for inclusion as healthy subjects. The mean age of the elderly subjects was 68.68±7.92 (Age range 60-91 years). Parameters were compared with those from a cohort of 62 young healthy volunteers aged between 18 and 32 years; mean age 28.37±5.91 years (Table 1). The baseline and anthropometric characteristics are compared in (Table 1). The elderly subjects had significantly higher body mass index compared to the young subjects. Blood pressure indices were comparable in the two groups. However, the younger patients had higher pulse rate (Table 2).
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