Objective: To evaluate the role of bioelectrical impedance vector analysis (BIVA) and brain natriuretic peptide (BNP) in detecting peripheral congestion in heart failure (HF). Background: BIVA/BNP are biomarkers for congestion in acute (ADHF) and chronic HF. Methods: 487 ADHF and 413 chronic HF patients underwent BIVA and BNP tests. Results: BIVA was more accurate than BNP in detecting peripheral congestion both in ADHF (AUC 0.88 vs 0.57 respectively; p < 0.001) and chronic HF patients (AUC 0.89 vs 0.68, respectively; p < 0.001). In ADHF patients, the optimal BNP cut-off for discriminating presence or absence of edema was >870 pg/mL (PPV = 48% and NPV = 58%) whereas in chronic HF it was >216 pg/mL (PPV = 18% and NPV = 95%). The BIVA detected edema when the vector fell into the lower pole of 75th percentile tolerance ellipse (PPV = 84% and NPV = 78%) in ADHF, the lower pole of 50% (PPV = 68% and NPV = 95%) in chronic HF. Conclusions: In HF patients, BIVA is an easy, fast technique to assess peripheral congestion, and is even more accurate than BNP.

Accuracy of bioimpedance vector analysis and brain natriuretic peptide in detection of peripheral edema in acute and chronic heart failure / Massari, Francesco; Iacoviello, Massimo; Scicchitano, Pietro; Mastropasqua, Filippo; Guida, Pietro; Riccioni, Graziano; Speziale, Giuseppe; Caldarola, Pasquale; Ciccone, Marco Matteo; Di Somma, Salvatore. - In: HEART & LUNG. - ISSN 0147-9563. - 45:4(2016), pp. 319-326. [10.1016/j.hrtlng.2016.03.008]

Accuracy of bioimpedance vector analysis and brain natriuretic peptide in detection of peripheral edema in acute and chronic heart failure

Di Somma, Salvatore
2016

Abstract

Objective: To evaluate the role of bioelectrical impedance vector analysis (BIVA) and brain natriuretic peptide (BNP) in detecting peripheral congestion in heart failure (HF). Background: BIVA/BNP are biomarkers for congestion in acute (ADHF) and chronic HF. Methods: 487 ADHF and 413 chronic HF patients underwent BIVA and BNP tests. Results: BIVA was more accurate than BNP in detecting peripheral congestion both in ADHF (AUC 0.88 vs 0.57 respectively; p < 0.001) and chronic HF patients (AUC 0.89 vs 0.68, respectively; p < 0.001). In ADHF patients, the optimal BNP cut-off for discriminating presence or absence of edema was >870 pg/mL (PPV = 48% and NPV = 58%) whereas in chronic HF it was >216 pg/mL (PPV = 18% and NPV = 95%). The BIVA detected edema when the vector fell into the lower pole of 75th percentile tolerance ellipse (PPV = 84% and NPV = 78%) in ADHF, the lower pole of 50% (PPV = 68% and NPV = 95%) in chronic HF. Conclusions: In HF patients, BIVA is an easy, fast technique to assess peripheral congestion, and is even more accurate than BNP.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1046341
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