Blood haemoglobin is an independent predictor of B-type natriuretic peptide (BNP)

 
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Clinical Science (2005) 109, 69–74 (Printed in Great Britain)   69

Blood haemoglobin is an independent predictor
          of B-type natriuretic peptide (BNP)

Cathrine WOLD KNUDSEN∗ , Harald VIK-MO† and Torbjørn OMLAND‡§
∗
 Department of Cardiology, Ullevål University Hospital, Oslo, Norway, †Cardiology Division, Department of Medicine, St Olav’s
Hospital, Trondheim, Norway, ‡University of Oslo, Faculty Division Akershus University Hospital, Nordbyhagen, Norway, and
§Department of Medicine, Akershus University Hospital, Lørenskog, Norway

A      B     S     T     R     A      C      T

           BNP (B-type natriuretic peptide) and anaemia are both associated with adverse outcome in patients
           with chronic heart failure. Whether low haemoglobin levels are independently predictive of ele-
           vated BNP levels in subjects without heart failure is unknown. In the present study, we examined
           the relationship between haemoglobin and BNP levels in 234 patients with suspected coronary
           heart disease without a history of chronic heart failure, adjusting for known predictors of BNP
           levels. By univariate analysis, haemoglobin levels were inversely related to logarithmically trans-
           formed BNP values (r = − 0.30, P < 0.0001). After adjustment for patient age, gender, body mass
           index, history of myocardial infarction, use of diuretics, angiotensin-converting enzyme inhibitors
           and β-blockers, estimated creatinine clearance rate, extent of coronary disease, left ventricular
           ejection fraction and left ventricular end-diastolic pressure, blood haemoglobin remained an
           independent predictor of plasma BNP (standardized β-coefficient = − 0.253, P < 0.0001). A similar
           relationship was observed between haematocrit and BNP (standardized β-coefficient − 0.215,
           P < 0.0001). We conclude that haemoglobin levels are independently predictive of plasma BNP
           levels in patients with suspected coronary heart disease without heart failure. Anaemia may contri-
           bute to elevated BNP levels in the absence of heart failure, and may represent an important
           confounder of the relationship between BNP, cardiac function and prognosis.

INTRODUCTION                                                          nary artery disease [10], in patients with heart failure
                                                                      [11,12] and in the general population [13]. A number
BNP (B-type natriuretic peptide) is a 32-amino-acid                   of non-cardiac factors are associated with circulating
hormone derived predominantly from the ventricular                    BNP levels and may confound the relationship be-
myocardium [1]. The main stimulus for BNP secretion                   tween BNP and indices of cardiac function, including age
is stretch of cardiomyocytes [2]. Accordingly, circulating            [14,15], gender [14,15], renal function [16] and BMI (body
BNP levels are elevated in conditions characterized by                mass index) [17]. Whether anaemia is a confounding
volume overload and correlate with indices of haemo-                  factor for BNP is unknown.
dynamic status and ventricular function [3,4]. Over the                  Anaemia of chronic disease is a common cause of
past few years BNP has emerged as a reliable marker                   low haemoglobin levels in patients with chronic heart
of heart failure [5], and fully automated biochemical                 failure and is particularly prevalent in advanced heart fail-
assays have been developed for clinical use. BNP is also              ure, where its presence is associated with an adverse
a powerful prognostic indicator in patients with acute                prognosis [18–20]. Recently, an inverse association be-
coronary syndromes [6–9], in patients with stable coro-               tween haemoglobin levels and BNP has been described

Key words: anaemia, B-type natriuretic peptide (BNP), haemoglobin, heart failure.
Abbreviations: ACE, angiotensin-converting enzyme; BMI, body mass index; BNP, B-type natriuretic peptide; LVEDP, left
ventricular end-diastolic pressure; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association.
Correspondence: Professor Torbjørn Omland, University of Oslo, Faculty Division Akershus University Hospital, NO-1474
Nordbyhagen, Norway (email torbjorn.omland@medisin.uio.no).

                                                                                                                 
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70   C. Wold Knudsen, H. Vik-Mo and T. Omland

     in patients with diastolic heart failure [21]. One contri-    chilled plastic tube containing EDTA and aprotinin. The
     buting factor to the anaemia in heart failure may be          test tube was immediately placed on ice and centrifuged
     haemodilution secondary to fluid retention, a mechanism       at 4 ◦ C within 15 min of blood collection. After blood
     that could explain an inverse association between BNP         sampling, the catheter was first placed in the ascending
     and anaemia in heart failure patients. However, factors       aorta for aortic blood pressure recording, then introduced
     other than haemodilution may potentially contribute to        retrogradely into the left ventricle through the aortic valve
     a relationship between BNP and haemoglobin levels.            for intraventricular blood pressure recording. LVEF (left
     To test the hypothesis that haemoglobin is an inde-           ventricular ejection fraction) was ascertained by single-
     pendent predictor of BNP in subjects without heart            plane contrast ventriculography in the 30◦ right oblique
     failure, we examined the association between haemo-           position during held inspiration, using the area–length
     globin and BNP levels in a large cohort of patients with      method. Haemodynamic measurements were performed
     suspected coronary artery disease, adjusting for estab-       by a single investigator, who was blinded to the BNP
     lished predictors of BNP.                                     data. Significant coronary artery disease was defined as a
                                                                   diameter stenosis of at least 50 % in any of the main epicar-
                                                                   dial coronary arteries. Patients were classified according
     MATERIALS AND METHODS                                         to the number of main vessels affected as no significant
                                                                   coronary artery disease, single-vessel disease, double-
     Patients                                                      vessel disease, and triple-vessel disease.
     A series of 263 patients, referred to diagnostic cardiac
     catheterization for suspected coronary heart disease, were
     included consecutively. Patients with a recent myocardial     Biochemical analyses
     infarction (< 2 weeks), significant valvular heart disease,   The plasma samples were stored for a maximum of
     significant cardiac arrhythmia (including atrial fibrilla-    12 months at − 70 ◦ C pending analysis of BNP. BNP in
     tion), ongoing myocardial ischaemia as evidenced by           plasma was determined using RIA after prior extraction
     ST-T segment depression, manifest renal or hepatic fai-       with Vycor glass (Crown Crossing, Liverpool, New
     lure, or chronic symptomatic congestive heart failure         South Wales, Australia) [22]. The intra- and inter-assay
     [NYHA (New York Heart Association) class III and IV]          coefficients of variation were 7 % and 10 % respectively.
     were ineligible. Thirteen patients with mild exertional       The blood concentration of haemoglobin, haematocrit
     dyspnoea (NYHA function class II) were also excluded          and the concentration of creatinine in serum were deter-
     from the current analysis. Sixteen additional patients were   mined by routine laboratory methods. The creatinine
     excluded from the analysis because of cardiac arrhythmia      clearance rate (in ml/min) was estimated using the Cock-
     during the investigation (three patients), pronounced         roft-Gault formula [(140 − age) × weight (kg)/serum cre-
     vasovagal reaction requiring leg elevation during the in-     atinine (µmol/l)] multiplied by a constant of 1.25 in men
     vestigation (one patient), discovery of undiagnosed mitral    and 1.03 in women.
     valve prolapse (one patient), recent undiagnosed myocar-
     dial infarction (one patient), technical errors in blood      Statistical analysis
     sample handling (three patients), and insufficient material   We present categorical variables as counts and percentages
     for analysis of BNP or haemoglobin (seven patients),          of total and continuous variables as median and inter-
     leaving 234 patients for data analysis. The baseline data     quartile range. We analysed BNP as a continuous vari-
     of this cohort have been published previously [6]. Prior      able after logarithmic transformation to normalize its
     to catheterization, all patients were interviewed and         distribution. Differences between groups (anaemia com-
     examined by two experienced physicians who followed           pared with no anaemia) were assessed by the Mann–
     a standardized procedure. The same morning a venous           Whitney U test for continuous variables and by χ 2
     blood sample for determination of haemoglobin and             tests for categorical variables. The relationship between
     serum electrolytes and creatinine was obtained.               continuous variables, including haemoglobin, haemato-
        All patients gave their informed written consent to        crit, LVEF and LVEDP (left ventricular end-diastolic
     participate in the study. The study protocol was approved     pressure), and BNP was assessed by Pearson correlation
     by the Regional Ethics Committee and was carried out in       tests. Predictors of BNP and haemoglobin levels were
     accordance with the Declaration of Helsinki.                  identified by least squares multivariate linear regression
                                                                   analysis, using logarithmically transformed BNP and
     Angiography and blood sampling                                blood haemoglobin respectively, as the dependent vari-
     procedures                                                    ables. Potential confounders were forced into the model
     After rest for at least 15 min, the femoral artery and vein   and standardized β-coefficients were calculated. The ex-
     were cannulated and a pigtail catheter introduced into the    planatory power of the model was expressed as adjusted
     aorta. Before contrast ventriculography, a 10 ml blood        R2 values. A two-sided P value < 0.05 was considered
     sample was drawn from the descending aorta into a pre-        significant.

     
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B-type natriuretic peptide and anaemia   71

Table 1 Characteristics of patients in the study population and when divided into those without and with anaemia
Values are medians (interquartile range) or n (%). CCS, Canadian Cardiovascular Society.

                                                                                           Patients

Variable                                                 Study population                  Without anaemia       With anaemia                      P value

Demographics
   Number                                                234                               217                   17
   Age (years)                                           60 (52–67)                        60 (52–67)            64 (57–71)                        0.109
   Male gender                                           178 (76.1 %)                      163                   15                                0.222
Medical history
   Myocardial infarction                                 109 (46.6 %)                      101                   8                                 0.967
   Angina CCS class IV                                   12 (5.2 %)                        9                     3                                 0.015
   Coronary artery bypass grafting                       32 (13.7 %)                       29                    3                                 0.621
   Percutaneous coronary intervention                    39 (16.7 %)                       35                    4                                 0.430
   Pulmonary disease                                     3 (1.3 %)                         3                     0                                 0.626
   Arterial hypertension                                 77 (32.9 %)                       72                    5                                 0.750
   Diabetes mellitus                                     11 (4.7 %)                        10                    1                                 0.811
Current status
   Current smoker                                        56 (23.9 %)                       50                    6                                 0.264
   BMI (kg/m2 )                                          25.7 (23.5–28.4)                  25.7 (23.3–28.4)      25.6 (24.9–28.2)                  0.543
Drug treatment
   Aspirin                                               180 (76.9 %)                      165                   15                                0.250
   β-Blockers                                            177 (75.6 %)                      165                   12                                0.614
   Calcium channel blockers                              75 (32.1 %)                       67                    8                                 0.169
   Lipid-lowering drugs                                  20 (8.5 %)                        18                    2                                 0.622
   Diuretics                                             18 (7.7 %)                        16                    2                                 0.513
   ACE inhibitors                                        23 (9.8 %)                        20                    3                                 0.261
Angiographic findings
   LVEF (%)                                              67   (60–74)                      67 (60–74)            69 (59–74)                        0.659
   LVEDP (mmHg)                                          14   (11–18)                      15 (11–18)            12 (11–18)                        0.552
   No significant coronary artery disease                36   (15.4 %)                     35                    1                                 0.259
   Single-vessel disease                                 52   (22.2 %)                     48                    4                                 0.893
   Double-vessel disease                                 60   (25.6 %)                     55                    5                                 0.712
   Triple-vessel disease                                 86   (36.8 %)                     79                    7                                 0.694
Biochemical markers
   BNP (pg/ml)                                           45 (31–66)                        41.6 (29.4–65.8)      52.0 (36.4–88.3)                  0.07
   Log BNP (pg/ml)                                       1.11 (0.95–1.28)                  1.08 (0.93–1.28)      1.18 (1.02–1.41)                  0.07
   Creatinine clearance (ml/min)                         83 (67–100)                       83 (67–100)           87 (65–100)                       0.817
   Blood haemoglobin (g/dl)                              14.1 (13.4–14.9)                  14.2 (13.6–14.9)      12.4 (12.0–12.6)                  0.000
   Haematocrit                                           0.43 (0.41–0.44)                  0.43 (0.41–0.45)      0.38 (0.37–0.38)                  0.000

RESULTS                                                                             234), and were correlated inversely with blood haemo-
                                                                                    globin (r = − 0.30; P < 0.0001; n = 234; Figure 1) and
The characteristics of the patients are presented in                                haematocrit (r = − 0.294, P < 0.0001; n = 194). The rela-
Table 1. Using the World Health Organization definition                             tionship with haemoglobin was evident both in patients
(haemoglobin < 12 g/dl for women and < 13 g/dl for                                  with (r = − 0.301, P < 0.0001; n = 198) and without (r =
men), 17 patients (7.3 %) were diagnosed with anaemia.                              − 0.424, P = 0.010; n = 36) angiographically significant
The characteristics of patients subdivided according to the                         coronary artery disease. In a multivariate linear regression
absence or presence of anaemia are also shown in Table 1.                           model, adjusting for patient age, gender, BMI, history of
Patients with anaemia had borderline significantly higher                           myocardial infarction, pulmonary disease, use of diuret-
plasma BNP levels than those without anaemia.                                       ics, ACE (angiotensin-converting enzyme) inhibitors and
   Logarithmically transformed BNP concentrations cor-                              β-blockers, estimated creatinine clearance, triple-vessel
related significantly both with LVEF (r = − 0.33, P <                               disease, LVEF and LVEDP, blood haemoglobin remained
0.0001; n = 234) and LVEDP (r = 0.39, P < 0.0001; n =                               an independent predictor of plasma BNP (standardized

                                                                                                                          
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72   C. Wold Knudsen, H. Vik-Mo and T. Omland

                                                                               Table 3 Predictors of blood haemoglobin using a multi-
                                                                               variable model

                                                                               Variable                         Standardized β-coefficient   P value

                                                                               Male gender                      − 0.449                      0.000
                                                                               Age                              − 0.047                      0.597
                                                                               BMI                                0.048                      0.514
                                                                               Previous myocardial infarction     0.07                       0.921
                                                                               Pulmonary disease                  0.027                      0.642
                                                                               Diuretic use                       0.036                      0.591
                                                                               ACE inhibitors                   − 0.063                      0.322
                                                                               β-Blockers                         0.038                      0.527
                                                                               Creatinine clearance             − 0.071                      0.488
                                                                               Triple-vessel disease              0.028                      0.656
                                                                               LVEDP                              0.100                      0.125
                                                                               LVEF                             − 0.105                      0.121
                                                                               Log BNP                          − 0.355                      0.000

                                                                               without heart failure. The association remained signifi-
     Figure 1 Scatter plot of the relationship between blood                   cant after adjustment for a number of cardiac and non-
     haemoglobin and logarithmically transformed values of                     cardiac determinants of BNP levels, including indices
     plasma BNP                                                                of systolic (LVEF) and late diastolic (LVEDP) function,
                                                                               extent of coronary artery disease (triple-vessel disease),
     Table 2 Predictors of plasma BNP using a multivariable
                                                                               demographic factors (age and gender), historical factors
     model
                                                                               (prior myocardial infarction, use of diuretics, ACE
     Variable                           Standardized β-coefficient   P value   inhibitors and β-blockers) and renal function (estimated
                                                                               creatinine clearance).
     Female gender                      − 0.018                      0.774        Following the recent development of rapid fully
     Age                                  0.259                      0.000     automated assays, BNP measurement has been widely
     BMI                                − 0.079                      0.206     adopted for the diagnosis of heart failure. However,
     Previous myocardial infarction       0.159                      0.004     BNP elevation is not specific for heart failure, but is
     Pulmonary disease                  − 0.028                      0.568     associated with a variety of factors, including advanced
     Diuretic use                       − 0.027                      0.632     patient age and female gender [14,15], decreased BMI
     ACE inhibitors                       0.073                      0.171     [17], decreased renal function [16] and increased left
     β-Blockers                           0.135                      0.007     ventricular mass [4]. The present findings suggest that the
     Creatinine clearance               − 0.014                      0.872     presence of anaemia is another important confounder of
     Triple-vessel disease                0.120                      0.021     the relationship between BNP levels and cardiac function
     LVEDP                                0.309                      0.000     and prognosis. Blood haemoglobin appeared to be a
     LVEF                               − 0.210                      0.000     stronger determinant of BNP levels than factors such
     Haemoglobin                        − 0.253                      0.000     as BMI and renal function, and the association was of
                                                                               comparable strength with that between BNP and LVEDP
                                                                               and LVEF, factors traditionally considered to be major
     β-coefficient = − 0.253, P < 0.0001; Table 2). These vari-
                                                                               determinants of BNP production.
     ables explained 50 % of the variability of BNP (adjusted
                                                                                  In heart failure, BNP elevation has been associated
     R2 = 0.497). Similar results were obtained for haematocrit
                                                                               previously with anaemia and the severity of disease. In
     (standardized β-coefficient = − 0.215, P < 0.0001). Pre-
                                                                               a recent study of 74 patients with chronic heart failure,
     dictors of haemoglobin levels are presented in Table 3.
                                                                               haemoglobin and erythropoietin levels were associated
     These variables explained 30 % of the variability of
                                                                               with the severity of heart failure, BNP levels and pro-
     haemoglobin (adjusted R2 = 0.296).
                                                                               gnosis, and in a multivariable model BNP did not provide
                                                                               independent prognostic information after adjustment for
     DISCUSSION                                                                haemoglobin and erythropoietin [20]. In another study
                                                                               of 137 patients with heart failure and a normal ejection
     The new important finding of the present study is that                    fraction, anaemia was associated with greater elevation of
     blood haemoglobin (and haematocrit) is an indepen-                        BNP, the severity of diastolic dysfunction and prognosis
     dent predictor of circulating levels of BNP in subjects                   [21]. In heart failure, the classic assumption is that

     
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B-type natriuretic peptide and anaemia   73

plasma volume is expanded and can be monitored by               BNP, cardiac function and prognosis, and should be
assessing degree of oedema [23]. On the other hand,             adjusted for in future studies of the diagnostic and
in heart failure patients treated with diuretics, plasma        prognostic value of BNP.
volume may be decreased [24]. Accordingly, the haemo-
globin concentration in heart failure patients may differ       ACKNOWLEDGMENTS
considerably depending on volume state (pseudo-
anaemia secondary to haemodilution, increased haemo-            C. W. K. is a recipient of a grant from the Research Found-
globin concentration due to diuretic-induced hypo-              ation of Health and Rehabilitation in Norway. We are
volaemia, or true erythrocyte depletion).                       indebted to Dr Timothy G. Yandle in the Christchurch
   In the present study, we found an independent asso-          Cardioendocrine Research Group, Christchurch, New
ciation between haemoglobin concentration and BNP               Zealand, for performing the BNP analyses.
levels in patients without a history of heart failure. The
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                                                                Received 10 December 2004/9 February 2005; accepted 8 March 2005
                                                                Published as Immediate Publication 8 March 2005, DOI 10.1042/CS20040349

     
     C   2005 The Biochemical Society
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