a Guangzhou Cardiovascular Institute, Guangzhou, People's Republic of China.
b Cardiovascular Institute and Fu Wai Hospital, Chinese Academy of Medical Sciences, Beijing, PRC.
c University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
d School of Public Health, Department of Biostatistics, University of Alabama at Birmingham, AL, USA.
e Northwestern University, Chicago, Illinois, USA.
Reprint requests to: Sandra H Irving, Collaborative Studies Coordinating Center, 137 E Franklin Street, Suite 203, Chapel Hill, NC 27514, USA. E-mail: Sandy_Irving{at}unc.edu
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Abstract |
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Methods The ECG surveys were carried out in four Chinese population samples, in a total of 9666 adults aged 3554 in Beijing and Guangzhou, China from 1981 to 1984. Twelve-lead resting ECG tracings were coded by the Minnesota Code.
Results Prevalence per 1000 of abnormal ECG ranged from 77.4 to 209.8, and was higher for men than women and higher for Guangzhou than Beijing. Prevalence per 1000 of major abnormalities in Guangzhou was 29.8 for men and 78.4 for women, higher than the 18.4 and 29.6 for counterparts in Beijing. The ECG changes attributed in Western populations to coronary heart disease (CHD), such as large Q waves (Minnesota Code 11, 12) and ST-T abnormalities, were similar between Beijing and Guangzhou men, but Guangzhou women had much higher prevalence of ST-T abnormalities than Beijing women. Other ECG abnormalities such as A-V block, left branch bundle block, and left ventricular hypertrophy were rare in people of both sites.
Conclusions Compared with similar data from the US, these Chinese populations had a relatively low prevalence of ECG abnormalities putatively related to CHD. This corresponds with the low incidence of CHD in the Chinese population. However, within the Chinese populations of this study, a high abnormality rate appeared in a population with low incidence of CHD and hypertension (Guangzhou women). Reasons why ECG abnormalities do not parallel prevalence levels of CHD and hypertension remain to be elucidated.
Keywords ECG abnormalities, Beijing, Guangzhou, China
Accepted 29 June 1999
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Introduction |
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The People's Republic of ChinaUnited States (PRC-USA) Collaborative Study on Cardiovascular and Cardiopulmonary Epidemiology was initiated in 1981. This joint research study employed cross-sectional and prospective studies on four PRC samples from urban and rural populations in, or close to, Beijing in the north and Guangzhou in the south. Selection of these sites was based on previously observed North-South differences in prevalence of some cardiovascular risk factors. This article reports baseline ECG results, derived from Minnesota Code2 measurements. It compares ECG patterns and the prevalence of ECG abnormalities among the northern and southern Chinese populations samples, male and female. This North-South focus was based on the more favourable blood pressure and serum cholesterol levels in the South than the North.
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Population Samples and Methods |
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A baseline survey, including data collection on risk factors for major cardiovascular and cardiopulmonary diseases, was completed in the fall of 19831984. In north China (Beijing), a survey was also done in 19811982 with ECG recording, which was not redone in 19831984. Thus data for northern China are from 19811982 and from southern China 19831984. Overall response rates were 88% in Beijing and 87% in Guangzhou.
Data collection
The ECG used were Cardisuny model 503FB in Beijing and Cardiofax model SB-613D in Guangzhou. Technicians were trained and certified, and equipment was calibrated, according to detailed protocols and training manuals. Methods used in the PRC-USA study were standardized with those used in similar US co-operative studies and in studies sponsored by the World Health Organization.
Resting standard 12-lead ECG were recorded with participants supine. Five QRS complexes of each ECG lead were recorded with the recorder set at a sensitivity of 10 mm/mV and a paper speed of 25 mm/sec. Sensitivity and speed were calibrated weekly.
ECG coding
All ECG tracings were mounted at each local study city (Beijing and Guangzhou) and initially read locally with use of the Minnesota Code.4 The ECG coding supervisors and coders were trained and certified in the ECG Coding Laboratory, University of Minnesota, School of Public Health, Minneapolis, Minnesota, or in a Minnesota Code training course in China. Each ECG was coded independently by two certified coders, and results were compared. If they disagreed, a third coder, or the local supervisor, also coded the ECG. Identical codes by at least two of three coders or the supervisor were accepted as the final codes. A set of 437 ECG tracings coded in Beijing and Guangzhou was sent to the ECG Coding Laboratory at the University of Minnesota for recoding. Comparison showed 97% agreement in total codings.
To minimize systemic bias in major codes between North and South sites and to implement recently modified Minnesota coding methods (mainly for measurement of T wave amplitude), ECG coded in the first round with Codes 1, 4, and 5, 220 tracings in Beijing and 470 in Guangzhou, were recoded by the other site's coders and supervisors. Two hundred random ECG tracings without Codes 1, 4, and 5 from each site were also exchanged and reread. In this latter sample, no major and only two minor 1, 4, or 5 codes were found upon recoding. After the second round of codings, final codes 1, 4, and 5 were determined and the baseline ECG databases were revised for analysis.
Data analysis
For statistical analysis, men and women in each population were grouped by age (3539, 4044, 4559, 5054 years). For each age group, algebraic means and standard errors of variables were calculated. Overall adjusted means were computed twice, once adjusted for age, city, setting, and city by setting interaction and again adjusted for age, city, setting, body mass index (BMI), systolic blood pressure (SBP), work labour intensity (heavy versus other), and city by setting interaction. Adjusted means were computed through the SAS procedure GLM and pairwise comparisons were tested for statistical differences. Prevalence rates per 1000 of major and minor abnormalities were computed by adjusting for age, city, setting, BMI, SBP, and work labour intensity.
Major abnormalities were defined as Minnesota Codes 11, 12; 41, 42; 51, 52; 61, 62; 71, 72, 74; or 81, 83. Minor abnormalities included those with no major abnormality and codes 13; 21, 22; 31, 32; 43; 53; 63; or 91. (See Table 4 for an explanation of Minnesota Codes.) An abnormal ECG was defined as an ECG with any major or minor abnormality. The criteria for left ventricular hypertrophy (LVH) were Code 31 plus (Code 41, 42 or 43) or (Code 51, 52 or 53).
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Results |
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Frequencies of Minnesota codes
The frequencies of individual Minnesota codes for each gender and population group are listed in Table 4.
Abnormal Q waves
Abnormal Q waves (Codes 11, 2, 3) were infrequent in every group and the numbers are too small for meaningful statistical comparisons. However, for the most part, prevalence of Q waves was slightly more for men than women.
ST segment depression
An ST segment depression (Codes 41, 2, 3, 4) was infrequent in men and women and again, the numbers were too small for statistical comparisons among subgroups. However, the prevalence of ST depression tended to be higher for women than men. The highest prevalence (13.0 per 1000) of major ST depression (Codes 41, 2) was in Guangzhou rural women, who also had the lowest prevalence of hypertension in the PRC-USA collaborative study.
T wave findings
The pattern of T wave findings (Codes 51, 2, 3) was similar to that for ST changes. The T wave changes were more frequent in women than in men. The highest prevalence (121.0 per 1000) occurred in Guangzhou rural women, approximately 34 times the prevalence in Beijing rural and urban women.
A-V block
We found A-V block (Codes 61, 2, 3) was very rare in both Beijing and Guangzhou and severe A-V block (Codes 61, 2) was found only once for each city. The prevalence of first-degree A-V block was also low and in both cities.
Ventricular blocks
Complete left bundle branch block (Code 71) was rare, with only three cases in Beijing and one in Guangzhou. Complete right bundle branch block (Code 72) was also rare, and the prevalence was slightly higher in men than women. Incomplete right bundle branch block (Code 73) was more prevalent than either code 71 or 72, and the prevalence was higher in Guangzhou than in Beijing, and in men than women.
Premature beats
The prevalence of premature beats (Code 81) ranged from 4.3 to 14.8 per 1000, and appeared to be similar in men and women. There were 10 cases of atrial fibrillation or flutter in Beijing and four in Guangzhou.
Major and minor ECG abnormalities
Adjusted prevalence rates of major and minor ECG abnormalities are shown in Table 5 and Figure 1
. Prevalence of major plus minor abnormalities ranged from 77.4 to 209.8 per 1000 among genders, sites, and settings. As noted above, the major abnormality was primarily T wave inversion and the minor abnormalities were primarily left axis deviation, high amplitude R waves, ST-depression, and small T wave inversions. Prevalence of the overall sum of major and minor abnormalities was higher for men than women (P < 0.05), higher for rural than urban groups (P < 0.0001), and higher for Guangzhou than Beijing (P < 0.0001). Guangzhou rural men and women had the highest prevalence rates of abnormal ECG.
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Minor abnormalities were more frequent than major abnormalities. Prevalence was higher in men than women. For both urban and rural participants, minor abnormalities were more prevalent in Guangzhou than Beijing. The differences in minor abnormalities between Guangzhou and Beijing and between urban and rural participants were statistically significant (P < 0.0001) for men but not for women.
Left ventricular hypertrophy
Left ventricular hypertrophy by Minnesota Code criteria was rare (not shown in Tables). Similar to T wave abnormalities, prevalence of LVH was highest in Guangzhou rural women (10.2 per 1000) among the eight populations.
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Discussion |
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Resting heart rate has typically been reported to decrease with age.79 We found little association between age and heart rate, possibly because the age range was narrow in this study. On the other hand, the customary age-related decline in exercise levels, a determinant of heart rate, may be less among Chinese. Mean heart rates were faster in women than in men, in the urban than in the rural setting, and in Beijing than in Guangzhou, with the exception of urban women. People who are thinner and/or undertake more physical exercise usually have lower heart rates. These characteristics were more common in rural participants, and particularly in Guangzhou rural participants, corresponding with their lower heart rates.
Mean QRS axis and R wave amplitude in V4, 5, 6 may be similarly affected by body build and/or labour intensity level. Mean QRS axis was more rightward in the lower BMI and heavier labour subgroups: that is, more rightward in rural than urban setting, in Guangzhou than Beijing, and in men than women. The differences in mean QRS axis between population subgroups shrank after adjustment for BMI, work labour intensity, and other factors. This suggests that variations of mean QRS axis were partly attributable to body build and physical exercise differences.
The distribution of adjusted mean maximal R amplitude in V4, 5, 6 among population subgroups was similar to that of the mean QRS axis. It is commonly accepted that maximal R amplitude in V4, 5, 6 is inversely associated with the thickness of adipose tissue in the chest. We did not have direct measures of chest adiposity; however, high amplitude R waves and low BMI were correlated, both being most prevalent in the Guangzhou rural sample. However, after adjustment for BMI, work labour intensity, and other variables, differences between subgroups still existed, suggesting that other factors related to geography or existing diseases also may contribute to maximal R amplitude differences.5,6
The presence of ECG abnormalities has been associated with greater age, blood pressure, and BMI.10 In our study, the overall rate of abnormal ECG was higher in men than women, and higher in Guangzhou than Beijing. Rates of ECG major abnormalities were also higher in Guangzhou than Beijing, and were higher in women than men. Different ECG patterns for men and women have been reported in many studies.1113 Usually, men have higher frequencies of abnormal Q waves, left axis deviation, and high amplitude R waves, whereas women have higher prevalence of ST-T changes. Our findings are concordant with most previous reports. Except for ST depression and T wave changes, men had higher prevalence than did women of most ECG abnormalities, including A-V conduction defects (6-), arrhythmias (8-), ST segment elevation (92), abnormal Q waves, left axis deviation, and high amplitude R waves. However, the prevalence of most of these was very low, and therefore differences between genders were small. On the other hand, frequencies of ST and T wave findings were high, and the greater prevalence in women than men explained the higher major abnormality rate in women.
In western countries, the rate of abnormal ECG usually parallels that of coronary heart disease (CHD) or hypertension. In China, Guangzhou has a lower prevalence of hypertension than Beijing,14 and mortality rates of CHD are significantly lower for Guangzhou than Beijing.15 Therefore, it was unexpected that major and minor ECG abnormalities were more common in Guangzhou than Beijing. The higher prevalence of ST depression and negative T waves in Guangzhou was especially notable. In fact, the highest prevalences of negative T waves and ECG with LVH were in Guangzhou rural women, who had the lowest prevalence of hypertension among the four study populations. It is difficult to attribute ST depression and negative T waves to hypertension or coronary disease in these populations. The reason for a higher rate of abnormalities in Guangzhou than Beijing is unclear. It seems unlikely that systematic differences in coding ECG is a major explanation because ECG with Codes 1, 4, or 5, and a random sample of normals were exchanged and recoded by both Beijing and Guangzhou coders. Physical and/or pathological factors may contribute to the Beijing-Guangzhou difference. For example, the rate of left ventricular high R amplitude in Guangzhou rural men (149.1 per 1000) was more than two times that (63.4 per 1000) in Beijing rural men. A reasonable explanation is that Guangzhou residents, especially rural men, have a thinner body build which usually associates with higher R amplitude. Another hypothesis for this unexpected phenomenon is that other heart diseases, such as viral myocarditis, cardiomyopathy, and rheumatic heart disease are more common in southern China. However, this is speculation, and further research is necessary. Nevertheless, it is apparent that while the prevalence of ST-T abnormalities may validly reflect the frequencies of CHD and hypertension in populations where these diseases are frequent, ST-T abnormalities may have a different interpretation in populations with low prevalence of CHD and hypertension.
Table 6 compares the prevalence of abnormal ECG among several general populations of the same ages. An expectation confirmed in this study was a much lower prevalence of significant Q waves and significant ST depression in Chinese than in western populations. Similarly, negative T waves were less frequent in these Chinese men than in American men. However, for Chinese women in this study, the prevalence of T wave negativity was quite high (36.7 per 1000) and higher than for US women. Other items possibly reflecting coronary disease, such as complete left bundle branch block, premature beats, and atrial fibrillation/flutter, were also lower in these Chinese samples than in American populations.
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Acknowledgments |
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References |
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2 Prineas RJ, Crow RS, Blackburn H. The Minnesota Code Manual of Electrocardiographic Findings: Standard and Procedures for Measurement and Classification. Boston: Wright, 1982.
3 An epidemiological study of cardiovascular and cardiopulmonary disease risk factors in four populations in the People's Republic of China. Baseline report from the PRC-USA collaborative study. PRC-USA Cardiovascular and Cardiopulmonary Epidemiology Research Group. Circulation 1992;85:108396.[ISI][Medline]
4 Data Preview, June 1989, Data from PRC-USA collaborative study of cardiovascular and cardiopulmonary epidemiology. Baseline Survey 198384: Introduction. US Department of Health and Human Services, Public Health Services, National Institutes of Health, Bethesda, MD.
5 Sutherland SE, Gazes PC, Keil JE, Gilbert GE, Knapp RG. Electrocardiographic abnormalities and 30-year mortality among white and black men of the Charleston Heart Study. Circulation 1993;88: 268592.[Abstract]
6 Riley CP, Oberman A, Hurst DC, Peacock PB. Electrocardiographic findings in a biracial, urban population. The Birmingham Stroke Study. Ala J Med Sci 1973;10:16070.[Medline]
7 Bachman S, Sparrow D, Smith LK. Effect of aging on the electrocardiogram. Am J Cardiol 1981;48:51316.[ISI][Medline]
8 Wang HY, Du FC et al. Minnesota codes on 11869 rest electrocardiogram tracings from a population. Chinese Circulation J 1987;1:28587 (In Chinese).
9 Yasumura S, Shibata H. The effect of aging on the electrocardiographic findings in the elderlya 10-year longitudinal study: the Koganei Study. Arch Gerontol Geriatr 1989;9:115.[ISI][Medline]
10 Strogatz DS, Tyroler HA, Watkins LO, Hames CG. Electrocardiographic abnormalities and mortality among middle-aged black men and white men of Evans county, Georgia. J Chron Dis 1987;40:14955.[ISI][Medline]
11 Wu XG, Wang HY, Zhang ZY. Comparative study of ECG using the Minnesota code on nine populations in different areas of China. Chinese J Cardiol 1988;16:810,62 (In Chinese).
12 Ostrander LD Jr, Brandt RL, Kjelsberg MO, Epstein FH. Electrocardiographic findings among the adult population of a total natural community, Tecumseh, Michigan. Circulation 1965;31: 88898.[ISI][Medline]
13 Simonson E, Blackburn H Jr, Puchner TC, Eisenberg P, Ribeiro F, Meja M. Sex differences in the electrocardiogram. Circulation 1960;22: 598601.[ISI]
14 Data Preview, April 1990, Data from PRC-USA collaborative study of cardiovascular and cardiopulmonary epidemiology. Baseline Blood Pressure 198384. US Department of Health and Human Services, Public Health Services, National Institutes of Health, Bethesda, MD.
15 Tao SC, Huang ZD, Wu XG et al. CHD and its risk factors in the People's Republic of China. Int J Epidemiol 1989;18(Suppl.1):S15963.[Abstract]
16 Keys A, Aravanis C, Blackburn HW et al. Epidemiological studies related to coronary heart disease: characteristics of men aged 4059 in seven countries. Acta Med Scand 1966;460(Suppl.):1392.