Int J Med Sci 2013; 10(1):103-109. doi:10.7150/ijms.5005
Plasma B-type Natriuretic Peptide Level in Patients with Acute Cerebral Infarction according to Infarction Subtype and Infarction Volume
1. Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Kangwon-do, 220-701, Korea
2. Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Kangwon-do, 220-701, Korea
Kim SH, Lee JY, Park SH, Jang HC, Lim EJ, Chang SJ, Lee SS. Plasma B-type Natriuretic Peptide Level in Patients with Acute Cerebral Infarction according to Infarction Subtype and Infarction Volume. Int J Med Sci 2013; 10(1):103-109. doi:10.7150/ijms.5005. Available from http://www.medsci.org/v10p0103.htm
Background: Plasma B-type natriuretic peptide (BNP) is used as a diagnostic marker of cardiovascular diseases. BNP is secreted mainly from the myocardium and has been detected by immunoreactivity in brain and cerebral arteries. The aim of our study was to investigate plasma BNP in patients with acute cerebral infarction according to infarction subtype and infarction volume.
Methods: We studied 141 patients with acute cerebral infarction, classified as large artery atherosclerosis (LAA), cardioembolism (CE), or small vessel disease (SA) according to the Trial of Org 10172 in Acute Stroke Treatment classification. Plasma BNP level was measured in patients and 61 healthy controls. We analyzed various clinical and laboratory variables of patients according to plasma BNP level.
Results: Compared to controls, the patients had higher plasma BNP (11.9 ± 11.7 pg/mL versus 124.6 ± 228.8 pg/mL, p <0.01). The highest quartile BNP group was associated with advanced age, female gender, current non-smoker, atrial fibrillation, heart failure, CE group, increased white blood cell counts, increased high sensitivity C-reactive protein, increased left atrium size, decreased left ventricular ejection fraction, increased initial National Institute of Health Stroke Scale, and increased infarction volume. According to multiple regression analysis, CE group, female gender, and infarction volume were independently associated with plasma BNP. Plasma BNP level showed statistically significant differences among LAA (n = 71), CE (n = 50), and SA (n = 20) groups (p <0.001), and the expression decreased in order of CE (253.8 ± 337.1 pg/mL), LAA (61.6 ± 78.8 pg/mL), and SA (25.3 ± 24.8 pg/mL). Increased plasma BNP correlated with increased infarction volume (r = 0.42, p <0.001).
Conclusions: Plasma BNP may be helpful for prediction of etiologic classification of acute cerebral infarction and infarction volume.
Keywords: cerebral infarction, brain natriuretic peptide, etiology, cardiovascular diseases, embolism, infarction volume
B-type natriuretic peptide (BNP) belongs to a family of natriuretic peptides and is involved in the regulation of various physiologic functions such as natriuresis, diuresis, and vasodilation . Plasma BNP is increased in edematous disorders with salt and fluid overload and increased atrial or ventricular wall tension . Increased plasma BNP is a known marker of cardiovascular diseases [1-4]. Plasma BNP level is frequently elevated in acute cerebral infarction and has been associated with cardiac dysfunction, clinical severity, and poor prognosis of cerebral infarction [5-10]. The aim of this study was to investigate plasma BNP in patients with acute cerebral infarction according to variables such as infarction subtype and infarction volume.
Patients and Methods
Among 236 consecutive patients with acute cerebral infarction who were admitted within three days of onset and whose blood samples were obtained at the time of initial laboratory studies, 141 patients were enrolled and classified as belonging to the large artery atherosclerosis (LAA), cardioembolism (CE), and small vessel disease (SA) groups according to the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification . Patients with renal dysfunction (serum creatinine >2.5 mg/dL), dialysis dependent renal failure, pulmonary disease such as acute respiratory distress syndrome, chronic obstructive pulmonary disease with cor pulmonale and pulmonary embolism, or thrombolytic therapy were excluded from the study.
Blood was obtained before treatment, and patients were assessed by the National Institute of Health Stroke Scale (NIHSS). Demographic characteristics such as age, gender, smoking, and medical history of hypertension, diabetes mellitus, cardiac disease, and hyperlipidemia were recorded. Blood pressure, heart rate, chest X-ray, electrocardiography, and blood tests including hemoglobin, white blood cell (WBC) count, sugar, cholesterol, blood urea nitrogen, creatinine, BNP, and high sensitivity C-reactive protein (hs-CRP) were measured. Plasma BNP levels were measured by commercially available immunoassay (Biosite Inc., San Diego, CA, USA). Age- and sex-matched normal controls who visited the health care center during the same period were included. The institutional review board approved this study, and informed consent was obtained from the patients or patients' surrogates.
During admission, brain MRI was performed with a 1.5-T system (Gyroscan Intera, Philips Medical Systems) using a multi-slice echo-planar imaging technique to acquire diffusion weighted images (DWIs). The imaging parameters of DWI were as follows: 3400/60/4 (repetition time, msec/effective echo time, msec/excitation), 24 cm field of view, 5/2 mm slice thickness/gap, and 128×128 matrix. B values were 0 and 1000 s/mm2. For the acquisition of the apparent diffusion coefficient, the images were applied in the x, y, and z directions. Acute cerebral infarction was defined as an area of high signal intensity on the DWI. Infarction volume was calculated by multiplying the manually contoured hyperintense region by the slice thickness plus the intersection gap with the aid of Scion image software. Areas of acute infarction demonstrated on DWI were measured by an investigator who was not aware of the study purpose.
Complete two-dimensional (2D) and Doppler echocardiographic examinations (GE Vivid7, Philips IE33) were performed by a blinded sonographer. End-diastolic interventricular septum thickness (IVSd), end-diastolic posterior wall thickness (PWDd), end-diastolic left ventricular diameter (LVDd), and left atrium (LA) were measured from the M-mode images. Left ventricular ejection fraction (LVEF) was calculated as end-diastolic minus end-systolic volume divided by end-diastolic volume.
Plasma BNP levels were not normally distributed and were log-transformed for statistical analysis. T-test, one-factor ANOVA, Chi-square test, Pearson correlation test, and multiple linear regression analysis were performed. Significance was set at p <0.05. All statistical analyses were performed using the SPSS 12.0 statistical package (SPSS Inc.).
Baseline characteristics of normal controls and infarction patients
Among 141 patients, 71 were classified as LAA, 50 as CE, and 20 as SA. When comparing the baseline characteristics between normal controls and infarction patients, blood pressure, heart rate, WBC count, plasma hs-CRP level, and plasma BNP level were significantly different (Table 1). Mean plasma BNP level was 11.9 pg/mL in normal controls and 124.6 in patients.
The mean age of the patients was 67.6 years. The patients consisted of 62 women and 79 men, and there were 36 current smokers, 77 with hypertension, 33 with diabetes mellitus, 41 with atrial fibrillation, nine with heart failure, and 15 with hyperlipidemia.
Patient characteristics depending on plasma BNP quartile
The patients were divided into quartile groups depending on plasma BNP level: first quartile, 23.0 pg/mL and below; second quartile, 23 through 52.5; third quartile, 52.5 through 140.6; fourth quartile, above 140.6. The mean delay between admission and blood sampling was 33 ± 40 minutes and was not different among the groups. Advanced age, female gender, current non-smoker, atrial fibrillation, and heart failure were more prevalent in the highest quartile group compared to the other groups (Table 2). Systolic and diastolic blood pressures were not significantly different among the groups (Table 3). Heart rate, WBC count, and plasma hs-CRP level were higher in the highest quartile group compared to the other groups (Table 2, 3). Echocardiographic studies were performed in 103 patients (73%), and the mean delay between infarction onset and echocardiographic evaluation was 5.8 ± 5.1 days. LVEF was lower and LA size was larger in the highest quartile group compared to the other groups (Table 3). Cardioembolism was more prevalent in the highest quartile group than in the other groups. In addition, there was no SA patient in the highest quartile group (Fig. 1A). Initial NIHSS was higher in the highest quartile group than in the other groups (Table 2, Fig. 1B).
A brain DWI was performed in 102 patients, and the mean delay between infarction onset and MRI evaluation was 4.5 ± 3.5 days. Infarction volume was larger in the highest quartile group than in the other groups (Table 2, Fig. 1C).
Independent association of plasma BNP
Stepwise multiple linear regression analysis showed that cardioembolism, female gender, and infarction volume were independently associated with plasma BNP level (Table 4). Plasma BNP level showed statistically significant differences among infarction subtypes (p <0.001), and the expression of plasma BNP level decreased in order of CE (253.8 ± 337.1 pg/mL), LAA (61.6 ± 78.8 pg/mL), and SA (25.3 ± 24.8 pg/mL) (Fig. 2A). Females had significantly higher plasma BNP level than males (187.5 ± 314.5 pg/mL versus 75.3 ± 104.8 pg/mL, p <0.001; Fig. 2B). A significant positive correlation was observed between plasma BNP level and infarction volume (r = 0.42, p <0.001; Fig. 2C).
Baseline characteristics in normal controls and infarction patients.
(n = 61)
(n = 141)
|Age, years||65.5 ± 7.3||67.6 ± 11.6||0.136|
|Current smoker||11 (18.0)||36 (26)||0.247|
|Diabetes mellitus||-||33 (23)||-|
|Atrial fibrillation||-||41 (29)||-|
|Heart failure||-||9 (6)||-|
|Systolic Bp, mmHg||125.5 ± 16.5||152.6 ± 29.1||0.000|
|Diastolic Bp, mmHg||80.3 ± 10.2||85.7 ± 15.8||0.005|
|Heart rate, beats/min||74.8 ± 12.8||80.4 ± 20.3||0.021|
|Serum WBC count, /mm3||5932.6 ± 1764,3||9065.0 ± 3556.7||0.000|
|Serum creatinine, mg/dL||0.9 ± 0.2||0.9 ± 0.4||0.949|
|Plasma hs-CRP level, mg/L||0.2 ± 0.4||2.4 ± 6.7||0.000|
|Plasma BNP level, pg/mL||11.9 ± 11.7||124.6 ± 228.8||0.000|
Values are n (%) or mean ± SD. Bp, blood pressure; WBC, white blood cells; hs-CRP, high sensitivity C-reactive protein; BNP, B-type natriuretic peptide.
Patient characteristics according to plasma BNP quartile.
|Variable||Quartiles of plasma BNP level (pg/mL)||p value|
|Age, years||63.0 ± 10.6||68.8 ± 8.9||68.1 ± 13.8||70.3 ± 11.7||0.048|
|Current smoker||13 (37)||10 (28)||8 (23)||5 (14)||0.026|
|Hypertension||19 (54)||20 (56)||24 (69)||14 (40)||0.429|
|Diabetes mellitus||6 (17)||10 (28)||7 (20)||10 (29)||0.412|
|Atrial fibrillation||1 (3)||3 (8)||13 (37)||24 (69)||0.000|
|Heart failure||0 (0)||1 (3)||3 (9)||5 (14)||0.009|
|Hyperlipidemia||4 (11)||5 (14)||3 (9)||3 (9)||0.550|
|Serum WBC count, /mm3||7901.6 ± 2666.7||9544.2 ± 3413.9||7994.6 ± 2354.3||10237.5 ± 4569.4||0.010|
|Serum creatinine, mg/dL||0.8 ± 0.2||1.0 ± 0.3||0.8 ± 0.2||0.9 ± 0.3||0.070|
|Plasma hs-CRP level, mg/L||0.8 ± 2.7||1.6 ± 5.3||1.0 ± 2.1||5.9 ± 11.0||0.003|
|Initial NIHSS||5.3 ± 5.3||5.1 ± 5.8||6.4 ± 5.1||9.0 ± 7.7||0.031|
|Infarction volume, cm3||5.8 ± 10.4||11.8 ± 32.3||26.0 ± 38.5||47.0 ± 69.6||0.006|
Values are n (%) or mean ± SD. BNP, B-type natriuretic peptide; WBC, white blood cells; hs-CRP, high sensitivity C-reactive protein; NIHSS, National Institute of Health Stroke Scale.
Vital sign and echocardiographic findings of patients according to plasma BNP quartile.
|Variable||Quartiles of plasma BNP level (pg/mL)||p value|
|Systolic Bp, mmHg||149.6 ± 28.3||158.6 ± 26.4||153.9 ± 30.0||147.8 ± 31.2||0.404|
|Diastolic Bp, mmHg||85.1 ± 15.0||89.6 ± 14.8||84.7 ± 17.1||83.5 ± 15.9||0.387|
|Heart rate, beats/min||76.0 ± 15.8||75.8 ± 13.3||80.1 ± 26.3||88.9 ± 21.5||0.020|
|LVEF, %||73.3 ± 6.6||70.5 ± 7.9||64.6 ± 13.2||54.7 ± 17.0||0.000|
|IVSd, cm||1.08 ± 0.17||1.12 ± 0.19||0.99 ± 0.23||0.99 ± 0.27||0.119|
|PWDd, cm||1.09 ± 0.16||1.12 ± 0.16||1.04 ± 0.19||0.99 ± 0.21||0.093|
|LVDd, cm||5.00 ± 0.46||4.95 ± 0.42||5.02 ± 0.66||5.41 ± 0.76||0.057|
|LA, cm||4.34 ± 0.55||4.53 ± 0.52||5.13 ± 0.79||5.01 ± 0.81||0.000|
Values are n (%) or mean ± SD. BNP, B-type natriuretic peptide; Bp, blood pressure; LVEF, left ventricular ejection fraction; IVSd, end-diastolic interventricular septum thickness; PWDd, end-diastolic posterior wall thickness; LVDd, end-diastolic left ventricular diameter; LA, left atrium
Infarction subtypes according to plasma BNP level. Cardioembolism was more prevalent and SA was absent in the fourth quartile group (A). Initial National Institute of Health Stroke Scale (NIHSS) was higher in the fourth quartile group (B). Infarction volume on MRI was higher in the fourth quartile group (C).(Click on the image to enlarge.)
Independent associations of plasma BNP.
|Variable||Beta||Standard Error||t||p value|
F = 21.048, p <0.001, R2 = 0.402. CE, cardioembolism
Plasma BNP levels were significantly different among infarction subtypes, and the expression of BNP decreased in order of CE, LAA, and SA (A). Females had significantly higher plasma BNP levels than males (B). A significant positive correlation was observed between plasma BNP level and infarction volume (C).(Click on the image to enlarge.)
In summary, plasma BNP level in patients with acute cerebral infarction was significantly higher than in healthy controls. Advanced age, female gender, current non-smokers, atrial fibrillation, and heart failure were more prevalent; heart rate, WBC count, plasma hs-CRP level, and initial NIHSS were higher; infarction volume was larger; LA size was larger; and LVEF was lower in the fourth quartile group of BNP level compared to the other groups. Plasma BNP level showed statistically significant differences among the infarction subtypes. In addition, cardioembolism, female gender, and infarction volume were independently associated with plasma BNP level.
BNP is a cardiac endocrine hormone and is produced in the myocardium, brain, lungs, kidneys, aorta, and adrenal glands. Regulation of BNP production is believed to occur mostly at the gene expression level . Various hypertrophic and proinflammatory stimuli such as mechanical stretch, ischemia, endothelin-1, angiotensin II, interleukins, and adrenergic agonists can activate BNP gene transcription [2, 12, 13]. BNP is known to have several effects, including natriuresis, diuresis, inhibition of drinking and sympathetic activity in the central nervous system, inhibition of the renin-angiotensin aldosterone system, vascular smooth muscle relaxation, vasodilatation, increase in endothelial permeability, increased lipolysis in adipose tissue, and inhibition of cardiac and vascular remodeling [2, 14]. Most circulating BNP derives from the ventricular myocardium under pathophysiological conditions such as heart failure, left ventricular dysfunction, atrial fibrillation, acute coronary syndrome, advanced age, female gender, renal dysfunction, pulmonary disease, and high output states [1-4].
Our findings are in agreement with previous reports of elevated plasma BNP level in acute cerebral infarction [5-7]. The exact mechanism of elevated BNP level in acute cerebral infarction is unknown, but there are several hypotheses. First, elevated BNP in acute cerebral infarction may be related to cardiac disorders, which may be a cause of the infarction, a co-existing condition, or a result of the infarction [11, 15]. Second, BNP production may be stimulated by changes in catecholamine in acute cerebral infarction, regardless of cardiac dysfunction [1, 16-21]. Third, inflammatory markers or hypoxia-inducible factor that is induced in acute cerebral infarction may stimulate BNP production [21-23]. The fourth quartile group of BNP level in our study had increased inflammatory markers, such as WBC count and hs-CRP level.
Elevated BNP level in acute cerebral infarction has been found to be associated with cardioembolic mechanism, cardiac dysfunction after stroke, clinical severity, thrombolysis failure, and mortality [8-10, 24-29].
We found that plasma BNP level decreased in the order of cardioembolism, large arterial atherosclerosis, and small vessel disease. Most cardiac disorders that are classified as high or medium risks of cardioembolism by TOAST classification are associated with increased plasma BNP level . In addition, many cardiac disorders related to diastolic dysfunction are also associated with elevated BNP [3, 4]. Furthermore, among biomarker candidates of cerebral infarction, elevated plasma BNP level is well correlated with cardioembolic infarction [24, 25]. Acute cerebral infarction that is associated with increased activity of the sympatho-adrenal and renin-angiotensin systems may lead to cardiac dysfunction [19, 20]. Conventional diagnosis of some cardiac disorders such as paroxysmal atrial fibrillation is time-consuming. In contrast, plasma BNP can be determined within a few minutes and may be useful in the diagnosis of cerebral infarction caused by paroxysmal atrial fibrillation. In addition to cardioembolism, atherosclerosis has also been reported to be associated with elevated BNP [30, 31]. BNP was highly expressed in advanced atherosclerotic lesions, as visualized by strong in situ hybridization , and was reported to correlate with surrogate markers of atherosclerotic burden .
We found an independent association of plasma BNP level with female gender. There have been a few studies reporting higher BNP concentrations in females . Sex hormones may contribute to regulation of the production/secretion of natriuretic hormones, with estrogen having stimulatory and androgen having inhibitory effects [21, 32].
In our study, infarction severity was assessed through admission NIHSS and by infarction volume. NIHSS was higher and the infarction volume was larger in the patient group with the highest quartile of plasma BNP level compared to other groups. Infarction volume was independently associated with plasma BNP, and infarction volume and plasma BNP were positively correlated. Plasma BNP has been reported as a marginal predictor of the severity of the admission NIHSS [8, 24]. However, the relationship between plasma BNP and infarction volume has not yet been confirmed [6, 8]. Previous reports analyzed the infarction size according to the groups roughly divided into lacunar and territorial. We directly measured the infarction volume on DWIs to analyze the correlation between plasma BNP level and infarction volume. BNP and its receptor are widely distributed in brain regions such as the cerebral cortex, striatum, hypothalamus, preoptic area, cerebellum, and hippocampus . A positive correlation between infarction volume and plasma BNP may suggest that the potential origin of plasma BNP is damaged brain. Expression of mRNA for BNP in rat brain tissue is upregulated after a 24-hour occlusion of the middle cerebral artery .
We note that our study has some limitations. The sample size is too small to generalize, and further research with a larger population will be needed. In addition, our study is based on a single test, and repeated tests during cerebral infarction would be more informative. Lastly, we had limited information about neuroendocrine, cardiac, and renal functions.
The exact origin of elevated plasma BNP in acute cerebral infarction and the role of elevated BNP in acute cerebral infarction are currently unknown. Despite this lack of knowledge, BNP may be very useful in identifying and evaluating acute cerebral infarction. Proper treatment requires investigation of the pathomechanism and severity of the infarction at hospital admission. Despite complete evaluations for acute cerebral infarction, substantial numbers of patients have undetermined etiology in TOAST classification . Plasma BNP is not a specific marker for acute cerebral infarction, but it can be quickly determined and is useful to treat patients with acute cerebral infarction through estimation of the pathomechanism and severity of the infarction.
This work was supported by a research grant from Yonsei University Wonju College of Medicine (YUWCM-2010).
The authors have declared that no competing interest exists.
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Corresponding author: Seo Hyun Kim, MD, PhD, Department of Neurology, Yonsei University Wonju College of Medicine, 162 Ilsan-dong, Wonju, Kangwon-do, 220-701, Korea. Tel: +82-33-741-1252, Fax: +82-33-748-1752, E-mail: s-hkimac.kr