- Regular Article
- Open Access
The relationship between long-term changes in plasma B-type natriuretic peptide levels and electrocardiographic findings
© The Japanese Society for Hygiene 2008
- Received: 26 March 2007
- Accepted: 26 December 2007
- Published: 4 April 2008
Changes in B-type natriuretic peptide (BNP) and electrocardiographic (ECG) findings in an adult Japanese population were measured over a 5-year period, and the statistical relationships between these were evaluated.
This was a longitudinal analysis in which data were collected on 353 subjects (135 men and 218 women) who had undergone general health checks in 1998 and 2003.
Data were examined by correlation coefficient and one-way analysis of covariance using repeated measurements. The correlation coefficient for BNP between 1998 and 2003 was 0.622 (P < 0.0001) for the men and 0.557 (P < 0.0001) for women. The changes in BNP over the same period were 13.71 ± 26.06 (P < 0.0001) pg/ml in the men and 20.17 ± 32.01 (P < 0.0001) pg/ml in the women. In 99 men and 145 women who had undergone ECG tests, with both normal and abnormal findings, visual inspections of changes in the ECG findings with respect to BNP changes were performed over the 5-year period. In men, both age and BNP significantly correlated with changes in ECG findings; however, in women, no significant correlation between BNP and changes in ECG findings was observed.
This regional longitudinal study revealed a gender difference in the relationship between long-term changes in BNP and ECG findings, suggesting that a 10 pg/ml or more increase in BNP in men over a 5-year period may a indicate worsening of cardiac function and the need for intervention.
- Long-term change
From the perspective of cardiac disease prevention, the early identification of high-risk groups and prompt and appropriate treatment are important. Following such early intervention, improved prognosis and cost–benefit ratios can be expected [1, 2].
B-type natriuretic peptide (BNP) was isolated from the porcine brain in 1988, and subsequent research has shown that BNP is primarily synthesized and secreted in cardiac ventricles . In particular, the level of BNP is known to elevate in response to increased left ventricular volume and pressure load [4–6]. Plasma BNP measurements may be a useful predictor of cardiac function in clinical practice . Recent studies have revealed relationships between BNP and age, BNP and lipids, and BNP and gender as well as the usefulness of BNP in predicting the risk and severity of ischemic heart disease and arrhythmia [8–12]. A few studies have also shown the sensitivity and specificity of BNP in predicting the risk of heart disease in comparison to electrocardiographic (ECG) and echocardiographic findings, but as these have all been one-time measurements of BNP, the significance of the findings is still under debate [13–19]. Long-term changes in BNP with respect to metabolic syndrome factors have also been investigated , but a relationship to changes in ECG findings has not yet been reported.
We report here our evaluation of the correlation between long-term changes in BNP and ECG findings. In particular, we discuss the usefulness of the long-term measurement of BNP as a preventive strategy and the impact of gender differences on the interpretation of the results.
Of 894 individuals (339 men, 555 women) who underwent regional health checks in S City, Okinawa, in 1998, 871 (330 men, 541 women) agreed to take the BNP tests. Similarly, of 921 individuals (340 men, 581 women) who underwent similar examinations in 2003, 874 (323 men, 551 women) agreed to take subsequent BNP tests.
Long-term data for comparison between the study cohorts from 1998 and 2003 in terms of changes in BNP were available for 353 individuals. These included 135 men with a mean age (± SD) of 65.8 ± 8.8 years in 1998 and 218 women with a mean age (± SD) of 64.5 ± 9.2 years in 1998. The data from these subjects were analyzed in this study.
The analysis included participants with current or past histories of cardiovascular diseases and endocrine disorders and those being treated with oral medications.
General health checks, including a physical examination and laboratory tests, were performed in S City in accordance with the Health and Medical Service Law for the Elderly. Informed consent for taking plasma BNP samples was obtained orally or in writing. More than 95% of the participants undergoing yearly health checks gave informed consent for additional blood samples.
Plasma BNP levels were measured by radioimmunoassay using monoclonal antibodies specific for human BNP (SHIONORIA BNP assay kit, Shionogi Co., Tokyo, Japan). After the subject rested in a seated position for 5 min, about 2 ml of blood was collected from the antecubital vein into a polyethylene terephthalate tube (containing 1.5 mg/ml of EDTA-2Na). Samples were centrifuged immediately and stored in a freezer at −20°C until assayed at the Shionogi-Biomedical laboratory. Intra-assay and inter-assay coefficients of variation were 3.0–7.6 and 2.0–3.7%, respectively.
In this study, BNP98 and BNP03 are the BNP levels in 1998 and 2003, and ΔBNP is the change in BNP during this 5-year period (BNP03–BNP98).
The question as to whether ECG findings of class I (normal or slightly abnormal) remained class I from 1998 to 2003 or changed from class I to class II (abnormal A, B, C, or others) was also evaluated. Qualified data were available on 99 men [mean age (± SD) in 1998: 64.9 ± 9.3 years] and 145 women [mean age (± SD) in 1998 63.5 ± 9.5 years].
The relationships between BNP98 and BNP03 were evaluated using Pearson’s correlation coefficient and partial correlation coefficients with age as a control variable. The significance of the correlation coefficient was assessed by testing the hypothesis that the correlation is zero.
The change in mean BNP over 5 years was analyzed using a paired t test. Changes in ECG findings and BNP were examined by one-way analysis of covariance (ANOVA) using repeated measurements (paired factors). A probability of P < 0.05 was considered to be significant. Statistical analysis was all performed using SPSS ver. 12.0 (SPSS, Chicago, IL).
This study was conducted in accordance with the guidelines for epidemiologic research and was approved by the Ethics Committee of Kyorin University School of Medicine.
Number of subjects classified according to age in 1998
Study subjects (n = 353)
71 > years
Blood biochemical characteristics of study population in 1998
Blood biochemical parameters
Study subjects (n = 353)
Men (n = 135)
Women (n = 218)
23.6 ± 3.1
23.9 ± 3.3
135.0 ± 16.6
132.9 ± 17.1
77.2 ± 9.6
74.9 ± 9.0
14.88 ± 13.46
22.43 ± 17.20
1.08 ± 0.15
0.88 ± 0.12
207.3 ± 32.2
221.9 ± 34.1
55.5 ± 14.4
58.6 ± 12.9
128.6 ± 88.7
129.4 ± 73.4
We found high diastolic BP and creatinine levels in men, while the BNP, TC, and HDL-C levels were higher in women.
Differences in BNP during the 5-year follow-up period (paired t test)
BNP98 (Mean ± SD)
BNP03 (Mean ± SD)
ΔBNP Mean (95% CI)
Men (n = 135)
14.88 ± 13.46
28.59 ± 32.79
Women (n = 218)
22.43 ± 17.20
42.60 ± 38.24
Relationship between BNP and changes in the ECG by analysis of covariance
Sum of squares
Men (n = 99)
Changes in ECG finding
Women (n = 145)
Changes in ECG finding
In men with ECG findings that remained class I over a 5-year period, the marginal means for BNP (value adjusted for age as a covariate) changed from 13.73 ± 11.03 (mean ± SD) to 22.25 ± 10.29 pg/ml. In men with an ECG that changed from class I to class II, the marginal means for BNP increased from 16.76 ± 29.71 to 46.08 ± 27.71 pg/ml. An increase in BNP was observed in women, irrespective of a change in ECG findings (from 22.50 ± 16.14 to 38.20 ± 16.56 pg/ml and from 20.81 ± 26.49 to 37.86 ± 27.17 pg/ml, respectively).
In addition to age, analyses were also performed using lipids, BP, and BMI as covariates. These additional factors were found to be of no significance. Only the relationship between BNP and changes in ECG findings in men and the impact of age in men and women were significant.
A relationship between age and BNP has previously been reported in other cross-sectional observation studies. However, few studies have had sufficient sample sizes to permit repeated measurements of BNP as in our study , in which BNP was measured twice with a 5-year interval (in 1998 and 2003) in 135 men and 218 women. The correlation coefficient and partial correlation coefficient, with age as a control variable, showed a statistically significant positive correlation; this correlation was slightly stronger in men. In another study of individuals undergoing general health screenings, Kawabe et al. measured BNP two times with a 4-year interval and reported a correlation of 0.588, but a difference between men and women was not reported . Our results are closely similar to those of Kawabe et al. and, in addition, we found a slightly higher correlation in men than women.
The paired t test analysis showed a significant long-term change with an increase in BNP. We observed a larger increase in women than in men. In a cross-sectional study among middle-aged women, Chang et al.  suggested that the concentration of free testosterone was inversely associated with circulating BNP. This may be related to the higher ΔBNP seen in aged women in our study.
Our study demonstrates not only a relationship between age and BNP, as has already been shown in cross-sectional studies, but also confirms, by long-term observation in a regional population, an increase in BNP associated with aging.
Individuals who showed a remarkable renal function disorder value were excluded from this study. Accordingly, we considered that the influence of abnormal creatinine levels on BNP measurements was low.
Among the 871 participants in 1998, there was no obvious difference in health status between the 353 subjects and 518 residuals (data not shown). The health check conditions (place, season, period) and the method of storage or transportation of the specimens to the laboratory were similar enough not to be responsible for the remarkable increase in BNP levels between the two measurements (5 years). Although some studies have shown a slightly lower value of BNP, one reason for this may be the inclusion in these studies of healthy younger subjects. The obtained baseline values for BNP in our study in 1998 (n = 871) and 2003 (n = 874) among an elderly, almost healthy population were well within the range of the major study by Redfield et al. (data not shown) .
An earlier study reported BNP in participants of a health check program, and serial changes were also observed, but, to date no study has examined 353 almost healthy individuals. We carried out statistical analysis as a covariate of age in this study, but we did not classify the participants into age groups. However, individuals with more than 10 pg/ml ΔBNP were nearly always older than 60 years. Participants taking medication or with left ventricular hypertrophy were not excluded from our study and, therefore, they could possibly represent a factor in the raised BNP concentrations .
We examined whether those with class I ECG findings in 1998 remained class I or changed from class I to class II over the 5-year period. A gender-related difference was observed: men with a change in ECG findings from class I to class II showed a significantly greater increase in BNP than those who remained class I. In women, however, there was almost no difference between these subgroups. In both men and women, age had a significant impact on the relationship between the changes in BNP and ECG findings.
We have demonstrated a correlation between long-term changes in BNP and changes in ECG findings and, in addition, shown a gender difference in this relationship. A recent study by Chang et al. suggested that a decreased free testosterone level among women was associated with higher BNP levels. This may help to explain the gender-related differences and gender-related serial changes in BNP levels among elderly subjects in our study .
Our study evaluated changes in ECG findings from class I to class II from the standpoint of prevention. The limited data from patients with class II findings in 1998 were also analyzed, but no clear relationship between BNP and changes in ECG findings could be observed.
Our study was conducted among participants undergoing regional health checks in S City; thus, subjects were generally healthy enough to participate in routine health checks. Also, the subjects included patients with a history of cardiovascular diseases or receiving treatment; therefore, the study was not limited to healthy middle-aged adults. However, participants undergoing such evaluations in outpatient settings tend to have relatively mild diseases, which may further increase the significance of our results.
Our analysis was limited to subjects with available data from both health checks with a 5-year interval; however, among participants with data from only one health check, either 1998 or 2003, the results for age and BNP did not markedly differ from the results in the analyzed subjects. This also validates the appropriateness of our study design.
The aim of our study was cardiovascular disease prevention. We realize that the climate and dietary factors in S City in Okinawa, where the study was conducted, may differ from other regions in Japan. Our study subjects were relatively elderly, with a mean age in 1998 of 65.8 years in men and 64.5 years in women. The results may help increase awareness of cardiovascular diseases in this group.
Many types of biological data, including BNP, can show a bias in the distribution of values. In our study, we also performed analyses using logarithmic transformation and nonparametric approaches, but there were no marked differences in overall significance. In addition, such statistical considerations are not usually mentioned in the related literature; therefore, for easier interpretation, we have presented the results of the parametric analysis only.
Waveform analyses of ECG findings were coded using the Minnesota code, which is internationally accepted. We also categorized the ECG findings according to the classification of the Japan National Survey of Cardiovascular Diseases. Electrocardiogram findings that can be related to BNP include arrhythmias and myocardial ischemia. These effects may have led to some differences, but a stratified analysis for each finding was not performed. In our study with a relatively healthy population, recruiting sufficient subjects with abnormal findings to permit stratified analysis was difficult. This might be more feasible if the study were performed in a cardiovascular outpatient center.
The risk of cardiovascular disease increases with aging, and BNP is known to be higher in older persons. In this regional study, we also found an increase in BNP with aging. In addition, long-term measurements of BNP to evaluate the relationship with changes in ECG findings showed that, in men, there was a significant correlation between a 5-year increase in BNP and changes in ECG findings. There was a clear gender difference between men and women.
It is obvious that the measurement of BNP or long-term changes in BNP is not a substitute for ECG evaluation. Our findings suggest that men showing a 5-year increase in BNP of 10 pg/ml or more should be given subsequent detailed evaluations, including a ECG and echocardiography, with the aim of assessing the deterioration in cardiac function. No correlation between BNP and changes in ECG findings were observed in the women of our study; however, if the sample size were increased or the analysis were stratified for the use of medications or menstrual status, a correlation between increased BNP and changes in ECG findings might be identified. Further study is therefore needed.
We are grateful to the individuals who participated in the official health checks in Sashiki-cho (in particular, Mr. Gentoku Tsuha, the mayor of Sashiki-cho at that time, now a part of Nanjo-shi), Okinawa for their cooperation with our analysis.
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