Key result
Obesity was associated with significantly lower BNP and NT-proBNP levels and decreased mortality compared with normal weight in patients with possible decompensated heart failure (P<0.001).
Why the study?
Does increased BMI affect the accuracy of BNP and NT-proBNP for diagnosing decompensated heart failure and predicting all-cause mortality in patients with possible decompensated HF?
Observational (n=685)
Single-blind
Does increased BMI affect the accuracy of BNP and NT-proBNP for diagnosing decompensated heart failure and predicting all-cause mortality in patients with possible decompensated HF?
p-value: p=<0.001
BNP and NT-proBNP remain accurate for diagnosing decompensated heart failure across all BMI categories, though obese patients have lower absolute biomarker levels and may require BMI-specific cutpoints.
May warrant BMI-adjusted BNP thresholds in obese patients with suspected HF; leaves open validation for diagnostic accuracy.
BACKGROUND: BNP and N-terminal proBNP (NT-proBNP) concentrations may be depressed in patients with increased body mass index (BMI). Whether increased BMI affects accuracy of these biomarkers for diagnosing decompensated heart failure (HF) and predicting outcomes is unknown. METHODS: We measured BNP and NT-proBNP in 685 patients with possible decompensated HF in a free-living community population subdivided by BMI as obese, overweight, and normal weight. HF diagnosis was adjudicated by a cardiologist blinded to BNP and NT-proBNP results. We tabulated all-cause mortality over a median follow-up of 401 days and assessed marker accuracy for HF diagnosis and mortality by ROC analysis. RESULTS: Of the 685 patients, 40.9% were obese (n = 280), 28.2% were overweight (n = 193), and 30.9% had normal BMI (n = 212). Obese patients had lower BNP and NT-proBNP compared with overweight or normal-weight individuals (P < 0.001) and decreased mortality compared with normal-weight individuals (P < 0.001). Both biomarkers added significantly to a multivariate logistic regression model for diagnosis of decompensated HF across BMI categories. NT-proBNP outperformed BNP for predicting all-cause mortality in normal-weight individuals (chi(2) for BNP = 6.4, P = 0.09; chi(2) for NT-proBNP = 16.5, P < 0.001). Multivariate regression showed that both biomarkers remained significant predictors of decompensated HF diagnosis in each BMI subgroup. CONCLUSIONS: In this study population, obese patients had significantly lower BNP and NT-proBNP that reflected lower mortality. BNP and NT-proBNP can be used in all BMI groups for decompensated HF diagnosis, although BMI-specific cutpoints may be necessary to optimize sensitivity.
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Christenson et al. (2010) conducted an observational in Possible decompensated heart failure (n=685). Increased Body Mass Index (Obesity/Overweight) vs. Normal weight was evaluated on Diagnosis of decompensated heart failure and all-cause mortality (p=<0.001). Obesity was associated with significantly lower BNP and NT-proBNP levels and decreased mortality compared with normal weight in patients with possible decompensated heart failure (P<0.001).
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