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(Circulation. 2004;109:984-989.)
© 2004 American Heart Association, Inc.
Clinical Investigation and Reports |
From the Hypertrophic Cardiomyopathy Center, Minneapolis Heart Institute Foundation, and Division of Biostatistics, School of Public Health and the Cardiovascular Division, Department of Medicine, University of Minnesota and Fairview University Medical Center, Minneapolis.
Correspondence to Barry J. Maron, MD, The Hypertrophic Cardiomyopathy Center, Minneapolis Heart Institute Foundation, 920 E 28th St, Suite 60, Minneapolis, MN 55407. E-mail hcm.maron{at}mhif.org
Received April 16, 2003; de novo received September 12, 2003; revision received November 7, 2003; accepted November 18, 2003.
| Abstract |
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Methods and Results We prospectively assessed plasma BNP as a quantitative clinical marker of heart failure severity in 107 consecutive HCM patients. BNP showed a statistically significant relationship to magnitude of functional limitation, assessed by New York Heart Association (NYHA) functional class: I, 136±159 pg/mL; II, 338±439 pg/mL; and III/IV, 481±334 pg/mL (P<0.001). Multivariable analysis showed that BNP was independently related to NYHA class as well as age and left ventricular wall thickness (each with a value of P=0.0001). BNP
200 pg/mL was the most reliable predictor of heart failure symptoms, with positive and negative predictive values of 63% and 79%, respectively. BNP power in distinguishing patients with or without heart failure symptoms was less than that for differentiating between no (or only mild) and severe symptoms (area under receiver operating characteristic curve=0.75 and 0.83, respectively).
Conclusions Plasma BNP is independently related to the presence and magnitude of heart failure symptoms in patients with HCM. As a clinical marker for heart failure, BNP is limited by considerable overlap in values between categories of heart failure severity as well as confounding variables of left ventricular wall thickness and age.
Key Words: cardiomyopathy hypertrophy heart failure plasma
| Introduction |
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Hypertrophic cardiomyopathy (HCM) is a genetic cardiac disease that, in addition to conveying risk for sudden death in young people, is also an important cause of heart failurerelated disability and death.1120 Limiting symptoms of exertional dyspnea typically occur in the presence of a nondilated left ventricle (LV) with preserved or even hyperdynamic contractile function, often as a result of diastolic dysfunction.1420 This circumstance in HCM contrasts with the more common clinical scenario of congestive heart failure secondary to coronary heart disease, often associated with ventricular dilatation and systolic dysfunction.1 The usefulness of BNP for screening HCM patients and in monitoring the severity of symptoms has not been established.
| Methods |
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At the outpatient visit during which blood was drawn for BNP measurements, clinical status and functional capacity were assessed according to the New York Heart Association (NYHA) classification by one investigator (B.J.M.) without knowledge of the laboratory results. No study patient had significant co-morbid cardiovascular, pulmonary, or renal conditions.
Patients were 9 to 87 years of age (mean, 41±19 years); 82 (80%) were male, and all were white. Maximum LV wall thicknesses were 12 to 45 mm (mean, 23±7 mm) and were
30 mm in 21 patients (20%). Basal LV outflow tract obstruction (gradient
30 mm Hg) was present in 28 patients (26%). LV end-diastolic cavity dimensions were 26 to 61 mm (mean, 44±7 mm). Five patients had systolic dysfunction with reduced ejection fraction to <50% (mean, 37±6%) and were regarded to be in the end-stage phase.19
Measurement of BNP
Blood samples were collected by venipuncture and placed in tubes containing EDTA. BNP was measured with the Triage BNP assay (Biosite Diagnostics), which is a fluorescence immunoassay for BNP in whole-blood specimens. Precision and analytical sensitivity of the system have been reported.1
Echocardiography
Echocardiographic studies were performed with commercially available Hewlett-Packard instruments at the time of BNP determination. LV hypertrophy was assessed with 2D echocardiography according to published criteria.21 The greatest thickness measured at any site in the LV wall was considered to represent maximal LV wall thickness.22 Peak instantaneous LV outflow gradient was estimated under basal conditions with continuous-wave Doppler.13
Statistical Analysis
Data are expressed as mean±SD or percentages for categorical variables. Relevant relationships were tested by
2 analysis for proportions and unpaired Students t test for continuous variables. The statistical relationship between BNP and other relevant demographic and clinical variables such as age and maximum LV wall thickness were first examined by Pearsons correlation, whereas LV outflow gradient (
30 mm Hg), atrial fibrillation, and gender were assessed by t tests. For correlations, scatterplots, t tests, and regression analysis BNP values were subjected to a logarithmic transformation.
To determine whether age, gender, maximum LV wall thickness, outflow gradient, atrial fibrillation, and NYHA functional class were significant independent predictors of BNP, a multivariable regression analysis was performed. For multivariable regressions, clinical variables were selected stepwise to reduce the model to only statistically significant parameters. Selection was terminated when none of the remaining variables were significant at the 0.05 level or when the addition of any remaining variable would have reduced the residual error by at most 2%. Trends across subgroups were assessed by the Mantel-Haenszel method.
Sensitivity, specificity, and predictive values for the observed prevalence rates were calculated and reported for cut-points of selected BNP concentrations. Receiver operating characteristic (ROC) curves were used to evaluate the usefulness of BNP as a marker for heart failure symptoms. Area under the curve and probability values were obtained by logistic regression. The 95% confidence limits were based on the F distribution.
All probability values were for 2-tailed tests. A value of P<0.05 was considered indicative of a statistically significant result. The statistical software SAS version 8 was used for all calculations.
| Results |
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Individual Patient Analysis
BNP was within normal limits (ie, <100 pg/mL) in 36 of the 67 patients in NYHA functional class I (54%) (and <50 pg/mL in 28) but was elevated in the other 31 asymptomatic patients (46%), including 13 (20%)
250 pg/mL (Table 1; Figure 2). Of the 19 patients with moderate symptoms (class II), BNP was
100 pg/mL in 12 (63%),
250 pg/mL in 7 (37%), and <100 pg/mL in 7 (37%) (Table 1; Figure 2). Of the 21 patients with the most severe heart failure symptoms in classes III and IV, 19 (91%) had BNP
100 pg/mL, 17 (81%) were
250 pg/mL, and only 2 (10%) were <100 pg/mL, ie, 71 and 99 pg/mL (Table 1; Figure 2).
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When all 40 symptomatic patients were combined for analysis, 8 (20%) were
100 pg/mL, 23 (58%) were
250 pg/mL, and only 9 (22%) were <100 pg/mL. The latter 9 symptomatic patients had low BNP values of 41±36 pg/mL and LV wall thickness of only 18.7±2.2 mm. Of note, in the 21 patients with extreme LV hypertrophy (maximum wall thickness
30 mm), mean BNP was 378±335 pg/mL, and only 1 patient (5%) had BNP <100 pg/mL (negative predictive value=98%). Associations between BNP and age, maximal LV wall thickness, left atrial size, and LV end-diastolic dimension in asymptomatic and symptomatic patients are depicted in Figure 3.
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BNP was greater in the 6 patients with systolic LV dysfunction and ejection fraction <50% than in the 34 symptomatic patients with preserved LV systolic function (1108±1144 versus 377±380 pg/mL, respectively; P=0.02). Patients with moderate to severe mitral regurgitation (n=23) had higher BNP values than those with no or only mild regurgitation (n=84), 410±381 versus 191±254 pg/mL, respectively; P<0.001. Positive and negative predictive values of BNP
200 pg/mL for moderate to severe mitral regurgitation were 40% and 89%, respectively. BNP was also greater in the 66 study patients taking cardioactive medications (most commonly ß-blockers or verapamil) than those 31 patients without medications (368±500 versus 134±224 pg/mL, respectively; P<0.001).
A BNP value
200 pg/mL was the most reliable predictor of heart failure symptoms: sensitivity 65%, specificity 78%, positive predictive value 63%, and negative predictive value 79% (Table 2). Overall, BNP
200 pg/mL was also the best discriminator between severely symptomatic HCM patients (classes III/IV) and the other patients: sensitivity 81%, specificity 72%, positive predictive value 42%, and negative predictive value 94%.
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The ability of BNP to detect symptoms of heart failure (and symptom magnitude) was also assessed with ROC curve analysis (Figure 4). In this regard, BNP was moderately accurate in discriminating between those patients with and those without heart failure symptoms (area under the ROC curve=0.75; P<0.001), with 78% sensitivity at the customary BNP cutoff of 100 pg/mL. BNP showed greater power in distinguishing HCM patients with no or only mild symptoms (NYHA classes I and II) from those with marked symptoms (classes III and IV), with the area under the ROC curve=0.83 (95% CI, 0.49, 1.0; P<0.001) and 91%, sensitivity at the BNP cutoff of 100 pg/mL.
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Multivariable Analysis
BNP was associated with NYHA functional class, even after adjustment for other demographic or HCM-related clinical variables in the multivariable analysis (Table 3). Age and LV wall thickness (Figure 2) were also independently associated with BNP (Table 3). End-stage phase in 6 patients (ejection fraction <50%) did not influence the relation between BNP and NYHA class in the multivariable analysis. Using the significant clinical and demographic variables in the multivariable analysis, multiple R was 0.45, suggesting that 45% of variability in BNP was explained by these parameters.
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| Discussion |
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Therefore, our findings in HCM generally serve to validate BNP as a quantitative blood marker for heart failure and extend this principle into more diverse cardiac populations than previously reported. Available BNP data in patients with HCM have been quite limited and confined to relatively small patient populations; 2 studies suggest a relationship of BNP only to LV outflow obstruction23,24 (not confirmed here), and another group reported BNP as a marker for silent myocardial ischemia.25
Our aspiration in analyzing BNP in the present study was to formulate a reliable and more accurate adjunct diagnostic tool for heart failure in HCM, given the ambiguity often encountered in assessing symptom magnitude in such patients by personal history or even with exercise testing.17 This has particular clinical relevance because pharmacological agents represent the initial treatment modality for heart failure symptoms in HCM.1113 Therefore, it would be advantageous to develop tools for objectively and independently assessing the level of heart failure to aid in clinical decisions related to the administration of drugs. Furthermore, in patients with obstructive HCM,18 it is crucial to reliably monitor the magnitude and progression of heart failure symptoms to ascertain when major interventions such as septal myectomy (or possibly alcohol septal ablation) are advisable.1113
Nevertheless, BNP has certain limitations as a clinically useful addition to the diagnostic armamentarium of HCM. For example, we observed considerable overlap in BNP concentrations between categories of heart failure severity (ie, NYHA classes I versus II versus III/IV) in patients with HCM, consistent with previous studies in patients with acquired heart diseases and heart failure.1,26 Indeed, almost 50% of our HCM patients who were asymptomatic nevertheless showed elevated BNP values exceeding the generally recommended cutoff value for normality of 100 pg/mL.26,27 Although the significance of such elevated plasma BNP levels in the absence of symptoms is uncertain, it is possible that they represent a preclinical prognostic marker for impending heart failure and clinical decompensation or even a useful (albeit insensitive) test for detecting HCM in phenotype-negative family members who carry a mutant gene for the disease.12 However, we have used a cross-sectional study design, and therefore, predictions of clinical outcome over time with serial BNP measurements are beyond the scope of this investigation. It should be underscored, however, that clinical progression of heart failure in HCM is often much slower than in coronary artery disease, and future longitudinal studies would require substantial follow-up periods.12
The power of BNP in distinguishing patients with heart failure symptoms from those without such symptoms proved to be substantially less in HCM (area under the ROC curve=0.75) that that previously reported for discriminating between patients with and those without congestive heart failure caused primarily by coronary artery disease (area under the ROC curve=0.90),8 but was greater than in differentiating between non-HCM congestive heart failure with systolic versus diastolic dysfunction (area under the ROC curve=0.66) (Figure 4).8 Conversely, BNP showed substantial power in differentiating HCM patients with marked heart failure symptoms from those with no or only mild symptoms (area under the ROC curve=0.83).
More than 90% of our patients who experienced severe symptoms and functional disability (ie, NYHA classes III/IV) did in fact show greatly elevated BNP values (mean, 481 pg/mL), with a range to >3000 pg/mL. Conversely, the finding that BNP levels were within the normal range in a minority of HCM patients with severe heart failure is similar to recent observations in congestive heart failure caused by coronary artery disease.1,26 This observation may be explained by episodic BNP secretion but also raises the possibility that such normal BNP values ultimately imply better prognosis.
In congestive heart failure unrelated to HCM, BNP values in patients with systolic dysfunction and ventricular dilatation are approximately 2-fold those of patients with pure diastolic dysfunction and nondilated ventricles, suggesting that BNP secretion is strongly volume dependent.8 Although symptoms of heart failure in HCM are usually related to LV diastolic dysfunction,11,12 the present study also included a small subset of patients with predominantly systolic dysfunction and dilated ventricles typical of the "end-stage" phase.19 Indeed, our HCM patients with LV systolic dysfunction had BNP values that were 3-fold those of symptomatic patients with preserved systolic function.
The important observation in HCM that LV wall thickness22 is a strong independent predictor of BNP level (and therefore a confounding variable) suggests that myocardial mass is an important element in determining BNP and must be taken into consideration when interpreting the test values in individual patients. This relationship is consistent with the recognition that LV wall thickness (and mass) in HCM is unique12,21,22 and far exceeds that in any other cardiac disease, particularly when compared with heart failure caused by coronary artery disease. Also, we recognize that using NYHA functional class as the "gold standard" for comparison with BNP is limited by the subjectivity implicit in assessing symptom level with this model.
In conclusion, our data support a potential clinical role for BNP as an adjunctive test for clarifying the uncertainty that often arises in assessing functional disability in HCM patients. However, considerable variability in BNP values among patients with different symptom magnitude, and the independent impact of confounding variables such as LV wall thickness (and age), substantially restrict the practical clinical usefulness of BNP as a blood test marker for heart failure in HCM.
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