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Proteomics and Protein Markers |
1 Synlab Center of Laboratory Diagnostics, Heidelberg, Germany.
2 Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
3 Ludwigshafen Risk and Cardiovascular Health Study gGmbH, Freiburg, Germany.
4 Division of Cardiology, Department of Medicine, University of Würzburg, Würzburg, Germany.
5 Cardiology Group, Frankfurt-Sachsenhausen, Germany.
6 Division of Endocrinology, Department of Medicine, University Hospital, Ulm, Germany.
aAddress correspondence to this author at: Synlab Center of Laboratory Diagnostics Heidelberg, PO Box 10 47 80, D-69037 Heidelberg, Germany. Fax 49-6221-793-111; e-mail maerz{at}synlab.de.
| Abstract |
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Methods: We used Cox proportional hazards regression to examine the effect of NT-pro-BNP on total and cardiovascular mortality in 1135 with and 506 individuals without stable coronary artery disease (CAD).
Results: NT-pro-BNP was associated with New York Heart Association functional class, left ventricular (LV) systolic function, and LV end-diastolic pressure. NT-pro-BNP was positively related to age, female sex, hypertension, and former and current smoking and negatively related to body mass index and glomerular filtration rate. During a median follow-up of 5.45 years, NT-pro-BNP concentrations of 100399, 400-1999, or
2000 ng/L resulted in unadjusted hazard ratios (95% CI) for all-cause death of 3.2 (1.85.6), 6.63 (3.811.6), and 16.5 (9.229.8), respectively, compared with concentrations <100 ng/L. Hazard ratios (CI) for death from cardiovascular causes were 3.8 (1.88.2), 9. 3 (4.419.5), and 22.2 (10.248.4). NT-pro-BNP remained predictive of total and cardiovascular mortality after accounting for age, sex, diabetes mellitus, body mass index, smoking, hypertension, dyslipidemia, glomerular filtration rate, presence or absence of CAD on angiography, cardiovascular medication, revascularization at baseline, clinical signs of heart failure, LV systolic function, and C-reactive protein.
Conclusions: NT-pro-BNP is predictive of all-cause and cardiovascular mortality in individuals with or without stable angiographic CAD independently of other cardiovascular risk factors, coronary atherosclerosis, and cardiac function.
| Introduction |
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Fewer studies have investigated whether BNP or NT-pro-BNP provides prognostic information in patients with stable coronary artery disease (CAD) (10)(11)(12)(13) and how this information relates to the clinical assessment of left ventricular (LV) function.
We investigated the importance of NT-pro-BNP as a prognostic factor for long-term mortality in clinically stable individuals scheduled for elective coronary angiography. We also assessed whether NT-pro-BNP was related to mortality in individuals without LV systolic dysfunction or clinical signs of heart failure.
| Materials and Methods |
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Individuals were classified as having diabetes mellitus if plasma glucose was >1.25 g/L in the fasting state or >2.00 g/L 2 h after the oral glucose load (performed in individuals without previous diabetes mellitus diagnosis) (15), or if individuals were receiving oral antidiabetics or insulin. Hypertension was diagnosed if the systolic and/or diastolic blood pressure exceeded 140 and/or 90 mmHg or if there was a significant history of hypertension, mainly evident by the use of antihypertensive medication. Dyslipidemia was defined by categories proposed by the National Cholesterol Education Program Adult Treatment Panel III (16) as HDL cholesterol (HDL-C) <1.0 mmol/L (40 mg/dL) and/or LDL cholesterol (LDL-C) >4.1 mmol/L (160 mg/dL), and/or triglycerides >2.4 (200 mg/dL).
CAD was assessed by angiography using the maximum luminal narrowing estimated by visual analysis. In LURIC, clinically relevant CAD was defined as the occurrence of at least 1 stenosis
20% in at least 1 of 15 coronary segments (17). Individuals with stenoses <20% were considered as controls. To examine the impact of other definitions of CAD on the current analysis, we provisionally used the presence of 1 stenosis
50% as a criterion. Furthermore, we stratified our cohort into individuals according to the number of vessels (none, 1, 2, or 3) with stenoses
50%.
Of 3279 individuals with coronary angiograms, 1638 presented with unstable angina, nonST-elevation myocardial infarction (troponin T
0.1 µg/L, which was the diagnostic cutoff at the time of recruitment of our study population), ST-elevation myocardial infarction (troponin T
0.1 µg/L), or valve disease. These patients were excluded from the current evaluation. Thus, we finally included 1641 individuals. In these patients, LV function was graded semiquantitatively by contrast ventriculography into "normal" or "minimally", "moderately", or "severely" impaired. LV end diastolic pressure was available for 1488 patients; it was considered increased at >12 mmHg. Among the 1641 individuals included in the analysis, LV ejection fraction (LVEF), calculated from the right anterior oblique view, was available in 658 patients (40.1%). In this subgroup, the semiquantitative assessment of LV function correlated well with the LVEF (Spearman correlation coefficient = 0.696, P <0.001).
Information on vital status was obtained from local person registries. The median time of follow-up was 5.45 years. No patients were lost to follow-up. Among the 1641 patients included in this examination, 187 deaths (11.4%) had occurred. A death certificate was obtained for 186 of the decedents and was missing for 1 decedent, who was included in the total mortality analysis but excluded from the cardiovascular mortality analysis. Cardiovascular death included the following categories: sudden death, fatal myocardial infarction, death due to congestive heart failure, death immediately after intervention to treat CAD, fatal stroke, and other causes of death due to CAD.
laboratory procedures
The standard laboratory methods used have previously been described in detail (14). Lipoproteins were separated by a combined ultracentrifugation-precipitation method. NT-pro-BNP was measured by electrochemiluminescence on an Elecsys 2010 (Roche Diagnostics). Interassay CVs were 3.2% and 2.0% at mean values of 157 and 5125 ng/L. Sensitive C-reactive protein (CRP) was measured by immunonephelometry on a Behring Nephelometer II (N High Sensitivity CRP, Dade Behring). In this assay, the limit of detection for CRP is 0.17 mg/L; it is linear up to 500 mg/L. Glomerular filtration rate (GFR) was calculated as GFR [mL · min1 · (1.73 m2)1] = 186 · creatinine1.154 · age0.203 and GFR (mL · min1 · [1.73 m2)1] = 138 · creatinine1.154 · age0.203 in males and in females, respectively (18).
statistical analysis
NT-pro-BNP and CRP were transformed logarithmically before being used in parametric statistical procedures. Study participants were divided into 4 groups with concentrations of NT-pro-BNP <100, 100399, 4001999, or
2000 ng/L. Clinical and anthropometric characteristics of individuals grouped according to NT-pro-BNP are presented as percentages for categorical variables and as means and SD for continuous variables. Associations of categorical and continuous variables with strata of NT-pro-BNP were analyzed by
2 test and ANOVA with covariables as indicated, respectively (Table 1
).
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We studied the effect of the angiographic CAD status, sex, age, and risk factors (body mass index, diabetes mellitus, hypertension, smoking, dyslipidemia, and GFR) on NT-pro-BNP with an ANOVA model in which we included those factors not under examination and semiquantitative LV function as covariables (Table 2
).
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To examine the effect of NT-pro-BNP on mortality from all causes and from cardiovascular causes, we calculated hazard ratios and 95% CIs by the Cox proportional hazards regression model. As indicated by log minus log diagnostic plots, the proportional hazards assumption was met throughout. Multivariable adjustment was carried out for sex, age, cardiovascular risk factors (body mass index, diabetes mellitus, hypertension, smoking, dyslipidemia, and GFR), angiographic CAD, previous myocardial infarction, use of cardiovascular drugs (beta-blockers, angiotensin converting enzyme inhibitors, angiotensin type 1 receptor antagonists, calcium channel blockers, diuretics, antiplatelet drugs, and/or lipid lowering agents), revascularization at baseline, and semiquantitative LV function (Tables 3
and 4
). All statistical tests were 2-sided. P <0.05 was considered statistically significant. The SPSS 11.0 statistical package (SPSS, SA) was used for all analyses.
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| Results |
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2000 ng/L (P = 0.001 and P = 0.026 by logistic regression, respectively). The rates of percutaneous coronary interventions were higher at NT-pro-BNP concentrations between 100 and 1999 ng/L than concentrations outside this range of values. Systolic blood pressure was significantly higher in patients with NT-pro-BNP between 100 and 1999 ng/L than in those with NT-pro-BNP <100 ng/L. In the subgroup with the highest NT-pro-BNP (
2000 ng/L), mean systolic blood pressure approximately came down to the mean value seen in the subgroup with the lowest NT-pro-BNP (<100 ng/L). There was no association of NT-pro-BNP with diastolic blood pressure. Body mass index and GFR decreased as NT-pro-BNP increased. The use of all cardiovascular medications was more prevalent at NT-pro-BNP >100 ng/L. As expected, NT-pro-BNP was associated with the New York Heart Association (NYHA) functional class, semiquantitative LV function, the likelihood of increased LV end-diastolic pressure, and the LVEF.
association of nt-pro-bnp with cardiovascular risk factors and cad status
We examined in more detail the effect of sex, age, risk factors (body mass index, diabetes mellitus, hypertension, smoking), and angiographic status on NT-pro-BNP in a general linear model in which we included those factors not under examination as covariables. We additionally adjusted for semiquantitative LV function. NT-pro-BNP was significantly influenced by sex, age, body mass index, hypertension, smoking status, and GFR. Patients with angiographic CAD had, on average, higher NT-pro-BNP than those without CAD. Diabetes mellitus and dyslipidemia had no significant effect on NT-pro-BNP.
nt-pro-bnp and mortality from all causes
Among the 1641 patients included in this examination, 187 deaths (11.4%) had occurred during a median observation time of 5.45 years. Compared with individuals with NT-pro-BNP <100 ng/L, the unadjusted hazard ratios for death of patients with NT-pro-BNP of 100399 ng/L, 4001999 ng/L, and
2000 were 3.16 (P <0.001), 6.65 (P <0.001), and 16.53 (P <0.001), respectively (Table 3
, Model 1, Fig. 1
). Inclusion of age and sex as covariables decreased these estimates to 2.59 (P <0.001), 4.55 (P <0.001), and 10.24 (P <0.001), respectively (Table 3
, Model 2). Although hazard ratios progressively decreased, NT-pro-BNP retained sizeable prognostic importance after adjustment for cardiovascular risk factors, the presence or absence of CAD, and semiquantitative LV function (Table 3
, Model 3). Accounting in addition for CRP did not materially change hazard ratios (Table 3
, Model 4).
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We further analyzed the prognostic value of NT-pro-BNP according to quartiles at baseline. Interquartile ranges were 581, 82194, 195521, and 52235 000 ng/L, respectively. Compared with the lowest quartile, crude hazard ratios for death at NT-pro-BNP concentrations in the 2nd, 3rd, and 4th quartiles were 1.73 (P = 0.102), 3.36 (P <0.001), and 8.69 (P <0.001), respectively (Table 3
, Model 1). As expected, these estimates decreased stepwise with inclusion in the model, of age, sex (Table 3
, Model 2), cardiovascular risk factors, angiographic status, and semiquantitative LV function (Table 3
, Model 3). Finally, considering CRP as a covariable had no appreciable influence.
To study whether NT-pro-BNP added prognostic information beyond clinical assessment, we performed multivariate Cox regression in 1211 individuals in whom LV function was graded "normal". Among these, 93 (7.7%) had deceased during the follow-up period. NT-pro-BNP remained significantly predictive of total mortality; adjusted and unadjusted hazard ratios were lower than those for the entire study population.
We also separately investigated study participants with "normal" LV function, also classified as NYHA stage I (n = 602). Once more, NT-pro-BNP
400 ng/L turned out predictive of all-cause mortality in each of the statistical models.
Separate analysis of patients with or without angiographic CAD did not substantially alter our findings (Table 3
). In patients with angiographic CAD, NT-pro-BNP remained associated with mortality from all causes in the unadjusted model and in all adjusted models. In individuals without angiographic CAD, the association was significant in the unadjusted model and in the model adjusted for age and sex but turned out insignificant in the models adjusted for risk factors, clinical confounders and CRP (Table 3
). Finally, when we used CAD diagnosed as the presence of at least 1 stenosis
50% or when we used the number stenosed of vessels as a covariable in the Cox models instead of CAD diagnosed as at least 1 stenosis
20%, the results were materially unchanged.
nt-pro-bnp and mortality from cardiovascular causes
Because a death certificate was not available from 1 deceased person, the analysis for cardiovascular mortality included a total of 1640 individuals. Among these, 129 (69.4%) died from cardiovascular causes. Hazard ratios for death from cardiovascular causes according to NT-pro-BNP were consistent with those obtained for mortality from all causes in all models (Table 4
, Fig. 1
), including those that used CAD diagnosed at 1 stenosis
50% or the number of vessels with stenoses
50% as covariables (data not shown).
| Discussion |
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Abundant information has become available with regard to the utility of BNP and NT-pro-BNP as diagnostic and prognostic markers in heart failure (2)(19)(20). Consistently, we found NT-pro-BNP associated with semiquantitative LV function, NYHA functional class, LVEF, and the likelihood of increased LV end-diastolic pressure. Patients with angiographic CAD had higher average NT-pro-BNP than those without, and there was a positive relationship between the severity of angiographic CAD and NT-pro-BNP. NT-pro-BNP was also influenced by a series of traditional cardiovascular risk factors. As shown previously, after controlling for other confounding factors, women had significantly higher concentrations of NT-pro-BNP than men, and NT-pro-BNP was positively related to age (21). NT-pro-BNP was lower in obese than in lean persons, whereas it was higher in hypertensive than in normotensive persons. Former and current smokers had increased NT-pro-BNP concentrations. Similar to BNP, NT-pro-BNP increased as GFR decreased (22).
Many studies have dealt with the role of NT-pro-BNP in acute coronary syndromes (3)(4)(5)(6)(7), and 4 investigations have addressed the prognostic value of NT-pro-BNP (or BNP) in stable patients undergoing coronary angiography (10)(11)(12)(13). In the study by Kragelund et al. (10), the proportions of individuals with LVEF
60% were 80%, 61%, 34%, and 25% as NT-pro-BNP concentrations increased by quartiles. These proportional increments resemble quite closely those in our study participants found to have LV function graded as normal according to NT-pro-BNP concentrations, which were 93%, 81%, 53%, and 21%, respectively, in our 4 groups (Table 1
). Furthermore, the distributions of NT-pro-BNP concentrations were similar. Kragelund et al. found interquartile concentration ranges of 563, 64169, 170455, and 45613 889 ng/L (10); ours were 581, 82194, 195521, and 52235 000 ng/L. Thus, the 2 study populations appear to have had similar LV function, but in our study the atherosclerotic burden seems to have been much lower. When we used the criterion of at least 1 stenosis
20%, the prevalence of angiographic CAD was 69% in our study population; using lumen narrowing of
70% (or
50% in the left main coronary artery) as the cutoff, Kragelund et al. (10) classified
84% of their study participants as having CAD.
To directly compare our results with those of Kragelund et al. (10), who analyzed mortality from all causes but not cardiovascular mortality, we examined quartiles of NT-pro-BNP at baseline and also in relation to all-cause mortality. Basically, we found an identical predictive value of NT-pro-BNP, the crude hazard ratio for death in the highest quartile of NT-pro-BNP being 8.69 compared with 6.1 in their study. We suggest, however, that the use of cutoff values of 100, 400, and 2000 ng/L NT-pro-BNP will enable better differentiation than the use of quartiles, because hazard ratios for death in subgroups defined by these cutoff values were roughly 2-fold those found in groups defined by quartiles (Tables 3
and 4
).
Schnabel et al. (12) examined the association of quartiles of NT-pro-BNP and BNP with cardiovascular death and nonfatal myocardial infarction in 570 and 334 individuals with stable and unstable CAD, respectively. In both groups, they saw a significant association of NT-pro-BNP with future cardiovascular events only in their highest quartile of NT-pro-BNP. Similar results were reported when the same investigators measured BNP rather than NT-pro-BNP in 1085 patients with stable angina (13). At variance to these studies, we consistently detected a continuous relationship between NT-pro-BNP and mortality, both from any cause and from cardiovascular causes, once NT-pro-BNP exceeded 100 ng/L.
Remarkably, the association of NT-pro-BNP with mortality from all causes and from cardiovascular causes remained after we adjusted for cardiovascular risk factors, the presence or absence and severity (number of vessels with stenoses
50%) of angiographic CAD, and semiquantitative LV function. The severity of CAD thus did not affect the prognostic value of NT-pro-BNP. Furthermore, in individuals with "normal" LV function, and in those with both "normal" LV function and NYHA functional class I, NT-pro-BNP remained predictive, even in fully adjusted models. NT-pro-BNP, therefore, predicts mortality independently, at least in part, from its role as a marker of LV function. The mechanism underlying this observation remains unknown, however. BNP and NT-pro-BNP correlate well with the extent of inducible myocardial ischemia on stress single-photon emission computed tomography (23)(24). BNP concentrations increase after short-term coronary occlusion during coronary angioplasty, but not after coronary angiography (25). Together, these findings may suggest that these peptides reflect chronically recurring myocardial ischemia, but our observation that NT-pro-BNP also predicted death in persons with coronary stenoses <20% does not support this explanation. It is possible, however, that NT-pro-BNP reflects LV dysfunction not detected by the clinical means used here.
The utility of measuring BNP and NT-pro-BNP in patients at high risk of death, namely those with chronic heart failure (2)(19)(20) or acute coronary syndromes (3)(4)(5)(6)(7), has been firmly established, but information on the use of these markers in other patient groups is limited. Wang et al. (8) demonstrated that BNP was a predictor of all-cause mortality in asymptomatic participants in the Framingham Heart Study. Only recently, in an older community-based population, NT-pro-BNP was a strong risk biomarker for cardiovascular disease and death but CRP was not (9).
The current study is the largest to address the clinical value of NT-pro-BNP in clinically stable individuals undergoing angiography. By and large our results are consistent with those of smaller previous investigations (10)(11)(12)(13), all suggesting that the measurement of NT-pro-BNP may be helpful in individuals without clinical indications of heart failure. Furthermore, because NT-pro-BNP may be associated with mortality in individuals without relevant angiographic CAD, we speculate that screening of presymptomatic individuals with cardiovascular risk factors might refine risk stratification in the future. Further cohort studies addressing this issue in populations at low or intermediate cardiovascular risk are clearly warranted. Because natriuretic peptide measurement may not be applicable to screening large populations, our results lend further clarity regarding whether screening would be useful in an at-risk population.
| Acknowledgments |
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Financial disclosures: Winfried März, Bernhard R. Winkelmann, and Bernhard Boehm are shareholders of the not-for-profit LURIC Study company (LURIC gemeinnützige GmbH).
Acknowledgements: We extend our appreciation to the participants of the LURIC Study; without their collaboration this article would not have been written. The technical assistance of Sabine Kern is gratefully acknowledged. We thank all members of the LURIC study team who were either temporarily or permanently involved in patient recruitment and sample and data handling; the laboratory staff at the Ludwigshafen General Hospital and the Universities of Freiburg and Ulm, Germany; and the German registration offices and local public health departments for their assistance.
| Footnotes |
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| References |
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