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首页> 外文期刊>Clinical Chemistry >Impact of Increased Body Mass Index on Accuracy of B-Type Natriuretic Peptide (BNP) and N-Terminal proBNP for Diagnosis of Decompensated Heart Failure and Prediction of All-Cause Mortality
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Impact of Increased Body Mass Index on Accuracy of B-Type Natriuretic Peptide (BNP) and N-Terminal proBNP for Diagnosis of Decompensated Heart Failure and Prediction of All-Cause Mortality

机译:体重指数增加对B型利钠肽(BNP)和N端proBNP准确性对失代偿性心力衰竭的诊断和全因死亡率的预测的影响

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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. 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. 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 (χ^sup 2^ for BNP = 6.4, P = 0.09; χ^sup 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. 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.
机译:体重指数(BMI)增加的患者可能会降低BNP和N末端proBNP(NT-proBNP)的浓度。 BMI升高是否会影响这些生物标记物的诊断失代偿性心力衰竭(HF)和预测结果的准确性尚不清楚。我们在由BMI划分为肥胖,超重和正常体重的自由生活社区人群中测量了685例可能失代偿性HF的BNP和NT-proBNP。 HF诊断由不了解BNP和NT-proBNP结果的心脏病专家裁定。我们将中位随访401天的全因死亡率制成表格,并通过ROC分析评估用于HF诊断和死亡率的标志物准确性。在685名患者中,肥胖的40.9%(n = 280),超重的28.2%(n = 193)和BMI正常的患者(n = 212)为30.9%。与超重或正常体重的个体相比,肥胖患者的BNP和NT-proBNP较低(P <0.001),与正常体重的个体相比,死亡率降低(P <0.001)。两种生物标志物均显着增加了用于诊断BMI类别失代偿性HF的多元逻辑回归模型。在预测正常体重个体的全因死亡率方面,NT-proBNP优于BNP(对于BNP = 6.4,χ= sup 2 ^,P = 0.09;对于NT-proBNP = 16.5,χ^ sup 2 ^,P <0.001)。多变量回归显示,在每个BMI亚组中,两种生物标志物仍是失代偿HF诊断的重要预测指标。在该研究人群中,肥胖患者的BNP和NT-proBNP显着降低,这反映了较低的死亡率。 BNP和NT-proBNP可以用于所有BMI组以进行失代偿性HF诊断,尽管可能需要BMI特定的切点来优化灵敏度。

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    《Clinical Chemistry 》 |2010年第4期| p.633-641| 共9页
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    Robert H. Christenson,1* Hassan M.E. Azzazy,2 Show-Hong Duh,1 Susan Maynard,3 Stephen L. Seliger,4 and Christopher R. deFilippi51 Department of Pathology, 4 Division of Nephrology, and 5 Division of Cardiology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, 2 Department of Chemistry, The American University in Cairo, Cairo, Egypt, 3 Department of Pathology, Carolinas Medical Center, Charlotte, NC.* Address correspondence to this author at: Department of Pathology, University of Maryland School of Medicine, 22 S. Greene St., Baltimore, MD 21201. Fax 410-328-5880, e-mail rchristenson@umm.edu.Received May 5, 2009, accepted January 11, 2010.Previously published online at DOI: 10.1373/clinchem.2009.129742Author Contributions: All authors confirmed they have contributed to the intellectual content of this paper and have met the following 3 requirements: (a) significant contributions to the conception and design, acquisition of data, or analysis and interpretation of data, (b) drafting or revising the article for intellectual content, and (c) final approval of the published article.Authors' Disclosures of Potential Conflicts of Interest: Upon manuscript submission, all authors completed the Disclosures of Potential Conflict of Interest form. Potential conflicts of interest:Employment or Leadership: None declared.Consultant or Advisory Role: C.R. deFillippi, Siemens, R.H. Christenson, Siemens Diagnostics, Response Biomedical, and Radiometer.Stock Ownership: None declared.Honoraria: C.R. deFillippi, Siemens and Roche Diagnostics, R.H. Christenson, Siemens Healthcare Diagnostics, Ortho Clinical Diagnostics, and Response Biomedical.Research Funding: C.R. deFillippi, Siemens and Roche Diagnostics, S.L. Seliger, Roche, Inc., R.H. Christenson, Siemens Healthcare Diagnostics, Response Biomedical, and Radiometer.Expert Testimony: None declared.Role of Sponsor: The funding organizations played no role in the design of study, choice of enrolled patients, review and interpretation of data, or preparation or approval of manuscript.,;

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